About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). Work closely with all Software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Essential: Experience in production-quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management or mentoring Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
27/07/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). Work closely with all Software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Essential: Experience in production-quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management or mentoring Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
United States Digital Space LLC
Cambridge, Cambridgeshire
C++ AI/ML Software Engineer HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting edge machine learning research and production grade security software. To see what our engineering teams are working on, visit our technical blogs: We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full time opportunity for a collaborative, hands on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence. We offer a comprehensive benefits package and excellent career development opportunities. Responsibilities Design, develop, and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability, and resource utilisation on endpoint devices. Develop data processing, evaluation, and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Qualifications Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving, and software engineering skills. Experience working with Python for machine learning workflows, automation, or tooling. Understanding of software development lifecycle, testing methodologies, and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. Desired Additional Experience Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar. AI model deployment, optimisation, and inference in production environments. Data processing, feature engineering, and model evaluation techniques. Security, cybersecurity, or threat detection applications of AI/ML. Large Language Models (LLMs), Generative AI, or AI assisted security technologies. High performance, multi threaded, or systems level C++ development. Cloud based AI/ML services and MLOps practices. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people focused senior role, regular in person collaboration is encouraged. About You You're out to reimagine and reinvent what's possible - in your career as well as the world around you. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. Why Join HP Wolf Security HP Wolf Security is central to HP's strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built in, enterprise grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers' devices and data. The digital threat landscape is ever changing and as the cybersecurity industry reacts and adapts to changes, so too do the malware authors. Our unique micro virtualization technology ensures customers are protected from even the most bleeding edge cyber security threats. That micro virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. Our History Inspired by the isolation principles of traditional virtualization, HP's team known then as Bromium created a game changing technology called micro virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero day malware. Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security. For more information, visit our website: Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal".
27/07/2026
Full time
C++ AI/ML Software Engineer HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting edge machine learning research and production grade security software. To see what our engineering teams are working on, visit our technical blogs: We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full time opportunity for a collaborative, hands on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence. We offer a comprehensive benefits package and excellent career development opportunities. Responsibilities Design, develop, and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability, and resource utilisation on endpoint devices. Develop data processing, evaluation, and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Qualifications Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving, and software engineering skills. Experience working with Python for machine learning workflows, automation, or tooling. Understanding of software development lifecycle, testing methodologies, and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. Desired Additional Experience Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar. AI model deployment, optimisation, and inference in production environments. Data processing, feature engineering, and model evaluation techniques. Security, cybersecurity, or threat detection applications of AI/ML. Large Language Models (LLMs), Generative AI, or AI assisted security technologies. High performance, multi threaded, or systems level C++ development. Cloud based AI/ML services and MLOps practices. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people focused senior role, regular in person collaboration is encouraged. About You You're out to reimagine and reinvent what's possible - in your career as well as the world around you. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. Why Join HP Wolf Security HP Wolf Security is central to HP's strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built in, enterprise grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers' devices and data. The digital threat landscape is ever changing and as the cybersecurity industry reacts and adapts to changes, so too do the malware authors. Our unique micro virtualization technology ensures customers are protected from even the most bleeding edge cyber security threats. That micro virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. Our History Inspired by the isolation principles of traditional virtualization, HP's team known then as Bromium created a game changing technology called micro virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero day malware. Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security. For more information, visit our website: Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal".
Job ID: FEQ427R333 Location: London, United Kingdom Industry: Retail/CPG (UKI Enterprise) Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please consult your local HR representative. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
27/07/2026
Full time
Job ID: FEQ427R333 Location: London, United Kingdom Industry: Retail/CPG (UKI Enterprise) Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please consult your local HR representative. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Job Description Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Demonstrated experience leading effective use of enterprise authorized AI assist ed software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems Equal Opportunity We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
27/07/2026
Full time
Job Description Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Demonstrated experience leading effective use of enterprise authorized AI assist ed software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems Equal Opportunity We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
JOB ID: FEQ427R333 Location: London, United Kingdom Industry: Retail/CPG (UKI Enterprise) Recruiter: Dina Hussain At the company, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of the company's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting the company to achieve their business objectives. Collaborate with the company leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the company vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the company Lakehouse platform. Contribute to the company's technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot, etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor, etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits. Nice to Have The company or other relevant Cloud/Data certifications. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnici
27/07/2026
Full time
JOB ID: FEQ427R333 Location: London, United Kingdom Industry: Retail/CPG (UKI Enterprise) Recruiter: Dina Hussain At the company, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of the company's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting the company to achieve their business objectives. Collaborate with the company leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the company vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the company Lakehouse platform. Contribute to the company's technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot, etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor, etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits. Nice to Have The company or other relevant Cloud/Data certifications. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnici
Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with data structures and algorithms in Python. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience with data analysis, data optimizations and data evaluations. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience working in a complex, matrixed organization. Experience in Gen AI. Experience in data optimization and data platforms. Experience with research to production. About the job the company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will be a part a team operating in the Gemini Era, where AI is profoundly data-centric, the "quality" data used for training, fine-tuning, or Retrieval-Augmented Generation (RAG) has greater impact one end product performance than almost anything else. Your mission is to improve the time to model quality for users, achieved by bringing data optimization techniques to a broad audience through integrated tools and platforms. In this role, the tooling automatically and efficiently applies data optimization techniques, and runs structured ablations to demonstrate to users which ones work best for their use case, and deliver insights on how to improve further. You will collaborate with key product teams across the company. The ML, Systems, & Cloud AI (MSCA) organization at the company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all the company services (Search, YouTube, etc.) and the company Cloud. Our end users are Googlers, Cloud customers and the billions of people who use the company services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including the company Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Scale data optimization techniques (including those from the company Research) to enhance the performance and quality of ML models, while heavily shaping the technical direction of data platforms for model tuning across multiple product areas. Establish technical relationships with multiple product areas to define strategy and drive technical directions. Leverage existing assets and techniques from the company Research to accelerate model tuning velocity for teams like Bard and other product areas fine-tuning Gemini models. Collaborate with Research teams and ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces and supporting users adoption. Apply research and enage directly with users to advance the company's goal of making AI helpful for everyone. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
27/07/2026
Full time
Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with data structures and algorithms in Python. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience with data analysis, data optimizations and data evaluations. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience working in a complex, matrixed organization. Experience in Gen AI. Experience in data optimization and data platforms. Experience with research to production. About the job the company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will be a part a team operating in the Gemini Era, where AI is profoundly data-centric, the "quality" data used for training, fine-tuning, or Retrieval-Augmented Generation (RAG) has greater impact one end product performance than almost anything else. Your mission is to improve the time to model quality for users, achieved by bringing data optimization techniques to a broad audience through integrated tools and platforms. In this role, the tooling automatically and efficiently applies data optimization techniques, and runs structured ablations to demonstrate to users which ones work best for their use case, and deliver insights on how to improve further. You will collaborate with key product teams across the company. The ML, Systems, & Cloud AI (MSCA) organization at the company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all the company services (Search, YouTube, etc.) and the company Cloud. Our end users are Googlers, Cloud customers and the billions of people who use the company services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including the company Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Scale data optimization techniques (including those from the company Research) to enhance the performance and quality of ML models, while heavily shaping the technical direction of data platforms for model tuning across multiple product areas. Establish technical relationships with multiple product areas to define strategy and drive technical directions. Leverage existing assets and techniques from the company Research to accelerate model tuning velocity for teams like Bard and other product areas fine-tuning Gemini models. Collaborate with Research teams and ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces and supporting users adoption. Apply research and enage directly with users to advance the company's goal of making AI helpful for everyone. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are seeking an experienced Senior Java Engineer to join our engineering team and play a key role in designing, developing, and maintaining scalable, high-performance applications. The ideal candidate will have strong expertise in Java-based enterprise systems, cloud-native development, and modern software engineering practices. Experience with Artificial Intelligence (AI) technologies and AI-enabled applications is highly desirable. Key Responsibilities: Design, develop, test, and maintain enterprise-grade Java applications. Assist with technical design discussions and contribute to architectural decisions. Develop scalable microservices and RESTful APIs. Collaborate with cross-functional teams including Product, QA, DevOps, and Business stakeholders. Review code, mentor engineers, and promote engineering best practices. Optimise application performance, reliability, and security. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. Troubleshoot production issues and implement sustainable solutions. Contribute to CI/CD pipelines and cloud deployment strategies. Evaluate and adopt emerging technologies that improve product capabilities and development efficiency. Key Skills/Experience: You need to be technically sound but also be able to convey your knowledge and expertise to clients internally and externally. In terms of specific languages you should have commercial experience in some or all of the following; Strong proficiency in Java (Java 12+ preferred). Experience with Spring Boot, Spring Framework, and microservices architecture. Strong understanding of REST APIs, distributed systems, and event-driven architectures. Experience with relational databases such as PostgreSQL, MySQL, or Oracle. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with containerisation technologies including Docker and Kubernetes. Experience with CI/CD tools and automated testing frameworks. Strong knowledge of software design patterns, data structures, and system design principles. Desirable Skills Experience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such as OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Cycle to Work and Electric Vehicle schemes Flexible Working Annual Away Days/Company Socials Diversity and Inclusion As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.
27/07/2026
Full time
About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are seeking an experienced Senior Java Engineer to join our engineering team and play a key role in designing, developing, and maintaining scalable, high-performance applications. The ideal candidate will have strong expertise in Java-based enterprise systems, cloud-native development, and modern software engineering practices. Experience with Artificial Intelligence (AI) technologies and AI-enabled applications is highly desirable. Key Responsibilities: Design, develop, test, and maintain enterprise-grade Java applications. Assist with technical design discussions and contribute to architectural decisions. Develop scalable microservices and RESTful APIs. Collaborate with cross-functional teams including Product, QA, DevOps, and Business stakeholders. Review code, mentor engineers, and promote engineering best practices. Optimise application performance, reliability, and security. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. Troubleshoot production issues and implement sustainable solutions. Contribute to CI/CD pipelines and cloud deployment strategies. Evaluate and adopt emerging technologies that improve product capabilities and development efficiency. Key Skills/Experience: You need to be technically sound but also be able to convey your knowledge and expertise to clients internally and externally. In terms of specific languages you should have commercial experience in some or all of the following; Strong proficiency in Java (Java 12+ preferred). Experience with Spring Boot, Spring Framework, and microservices architecture. Strong understanding of REST APIs, distributed systems, and event-driven architectures. Experience with relational databases such as PostgreSQL, MySQL, or Oracle. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with containerisation technologies including Docker and Kubernetes. Experience with CI/CD tools and automated testing frameworks. Strong knowledge of software design patterns, data structures, and system design principles. Desirable Skills Experience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such as OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Cycle to Work and Electric Vehicle schemes Flexible Working Annual Away Days/Company Socials Diversity and Inclusion As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.
Senior Lead Software Engineer - Java, React, AI GLASGOW, LANARKSHIRE, United Kingdom Job Identification Job Category Software Engineering Business Unit Corporate Sector Posting Date 07/24/2026, 02:41 PM Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB Job Schedule Full time Job Shift Day Job Description At JPMorganChase, we build technology that powers one of the world's most important financial institutions - and we want you to be part of it. You'll have the opportunity to lead complex engineering challenges, grow your expertise, and collaborate with talented teams across the globe. We invest in our people, providing the tools, resources, and environment to help you thrive and advance your career. If you're passionate about delivering technology that makes a real difference, this is the role for you. As a Senior Lead Software Engineer at JPMorganChase within the AI & ML Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Your leadership will help shape the direction of our engineering community and the future of our technology. Job responsibilities Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors Develop secure and high-quality production code, and review and debug code written by others Drive decisions that influence product design, application functionality, and technical operations and processes Serve as a subject matter expert in one or more areas of focus, sharing knowledge and best practices across the engineering community Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices across the Software Development Life Cycle Influence peers and project decision-makers to consider the use and application of leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages with a strong focus on code quality and maintainability Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience with a strong understanding of scalability, resiliency, and security principles Background in Computer Science, Computer Engineering, Mathematics, or a related technical field Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills Experience designing and developing modern, responsive front-end interfaces using React, TypeScript, and component-based architecture Proficiency in back-end development using Java frameworks (e.g., Spring Boot) for building RESTful APIs and microservices Hands-on experience with cloud platforms (e.g., AWS) including container orchestration, serverless computing, and infrastructure-as-code Experience with database technologies including relational and NoSQL solutions, caching strategies, and asynchronous messaging patterns Strong knowledge of continuous integration and delivery pipelines and automated testing frameworks across front-end and back-end systems About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
27/07/2026
Full time
Senior Lead Software Engineer - Java, React, AI GLASGOW, LANARKSHIRE, United Kingdom Job Identification Job Category Software Engineering Business Unit Corporate Sector Posting Date 07/24/2026, 02:41 PM Locations 315 Argyle Street, Glasgow, Glasgow City, G2 8AT, GB Job Schedule Full time Job Shift Day Job Description At JPMorganChase, we build technology that powers one of the world's most important financial institutions - and we want you to be part of it. You'll have the opportunity to lead complex engineering challenges, grow your expertise, and collaborate with talented teams across the globe. We invest in our people, providing the tools, resources, and environment to help you thrive and advance your career. If you're passionate about delivering technology that makes a real difference, this is the role for you. As a Senior Lead Software Engineer at JPMorganChase within the AI & ML Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Your leadership will help shape the direction of our engineering community and the future of our technology. Job responsibilities Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors Develop secure and high-quality production code, and review and debug code written by others Drive decisions that influence product design, application functionality, and technical operations and processes Serve as a subject matter expert in one or more areas of focus, sharing knowledge and best practices across the engineering community Actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices across the Software Development Life Cycle Influence peers and project decision-makers to consider the use and application of leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages with a strong focus on code quality and maintainability Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience with a strong understanding of scalability, resiliency, and security principles Background in Computer Science, Computer Engineering, Mathematics, or a related technical field Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills Experience designing and developing modern, responsive front-end interfaces using React, TypeScript, and component-based architecture Proficiency in back-end development using Java frameworks (e.g., Spring Boot) for building RESTful APIs and microservices Hands-on experience with cloud platforms (e.g., AWS) including container orchestration, serverless computing, and infrastructure-as-code Experience with database technologies including relational and NoSQL solutions, caching strategies, and asynchronous messaging patterns Strong knowledge of continuous integration and delivery pipelines and automated testing frameworks across front-end and back-end systems About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills And Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown) Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams Familiarity with Machine Learning and GenAI tools and frameworks Good knowledge of finance concepts, notably financial analysis Demonstrated proficiency in artificial intelligence concepts, with hands on experience using AI tools to streamline workflows and enhance operational efficiency Proven ability to implement AI-powered solutions to solve business challenges Education Bachelor's or master's degree in computer science, engineering, or a related field is preferred. Candidates with business related degrees will also be considered, provided they have prior hands on technical experience Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate quarterly planning and roadmap alignment with engineering and product teams Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation Engage with senior stakeholders across the organization, including analytical and technology teams Ensure transparency through dashboards, objectives and key results, and performance reporting Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle Identify and mitigate delivery risks proactivelyTrack quality metrics and drive continuous improvement Partner with data science, ML operations, and front end teams to optimise release processes and reduce time to market Ensure alignment of delivery with product vision and business strategy About The Team Moody's Ratings' AI Analytics group develops advanced ML/GenAI for high profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody's values: openness, diversity, inclusivity, respect, and a willingness to learn. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
27/07/2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills And Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown) Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams Familiarity with Machine Learning and GenAI tools and frameworks Good knowledge of finance concepts, notably financial analysis Demonstrated proficiency in artificial intelligence concepts, with hands on experience using AI tools to streamline workflows and enhance operational efficiency Proven ability to implement AI-powered solutions to solve business challenges Education Bachelor's or master's degree in computer science, engineering, or a related field is preferred. Candidates with business related degrees will also be considered, provided they have prior hands on technical experience Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate quarterly planning and roadmap alignment with engineering and product teams Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation Engage with senior stakeholders across the organization, including analytical and technology teams Ensure transparency through dashboards, objectives and key results, and performance reporting Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle Identify and mitigate delivery risks proactivelyTrack quality metrics and drive continuous improvement Partner with data science, ML operations, and front end teams to optimise release processes and reduce time to market Ensure alignment of delivery with product vision and business strategy About The Team Moody's Ratings' AI Analytics group develops advanced ML/GenAI for high profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody's values: openness, diversity, inclusivity, respect, and a willingness to learn. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. About the AI Engineering Lab The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don't just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast track exceptional quantitative talent into world class technical consultants. Following an initial training period where you'll gain deep technical expertise and elite client facing skills, you'll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry leading clients. The Programme Journey: How You'll Grow Our intensive 8 14 week technical enablement curriculum follows a rigorous, modular architecture designed to build both deep foundational knowledge and elite specialism: Phase 0 - The Quality Gate & Pre Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we'll support you with up to two weeks of curated, self paced pre learning to ensure you enter the lab feeling confident and ready. Phase 1 - Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You'll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials. Phase 2 - Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high demand elite paths: AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi agent frameworks (CrewAI/AutoGen) on the Microsoft platform. AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines. Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real time streaming pipelines. Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost optimisation practices. Perks, Progression & Support Elite Certifications Funded: We fully fund premium industry recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer). High Touch Mentorship: You'll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support. Vibrant Cohort Culture: Experience your initial face to face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK. 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. What We're Looking For We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require: A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline. A-Level Mathematics and Further Mathematics, B or above. A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem solving. Strong Soft Skills & Adaptability: You need to be a collaborative problem solver who is eager to understand the wider business context and articulate technical concepts to stakeholders. Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds). If this sounds like the next step you've been dreaming of, apply today!
26/07/2026
Full time
About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to move faster, take smarter risks and pursue transformation. Formerly Ten10, we have deep roots in Quality which means we don't just build for the future, we ensure it actually works. We combine this engineering discipline with cutting edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. About the AI Engineering Lab The digital landscape is evolving faster than ever, and artificial intelligence is at the very heart of this transformation. We don't just teach theory from a textbook; we empower the next generation of technical minds with elite skills to lead cutting edge AI, machine learning, and advanced data projects. The AI Engineering Lab is our specialist training programme designed to fast track exceptional quantitative talent into world class technical consultants. Following an initial training period where you'll gain deep technical expertise and elite client facing skills, you'll be embedded in our Consulting delivery teams working on live projects and delivering immediate impact for our industry leading clients. The Programme Journey: How You'll Grow Our intensive 8 14 week technical enablement curriculum follows a rigorous, modular architecture designed to build both deep foundational knowledge and elite specialism: Phase 0 - The Quality Gate & Pre Learning (Up to 2 Weeks): Before the main cohort kicks off, we evaluate your baseline competencies across programming, Linux, and cloud fundamentals. If there are any gaps, we'll support you with up to two weeks of curated, self paced pre learning to ensure you enter the lab feeling confident and ready. Phase 1 - Core Technical Fundamentals (Weeks 1-4): Dive deep into the core tools of modern technology consulting. You'll master professional software practices (TypeScript/Python, Git), Linux development environments, Cloud Architecture (AWS core services), Infrastructure as Code (Terraform), containerisation (Docker), CI/CD pipelines, and database essentials. Phase 2 - Specialist Track Training (Weeks 5-8/10): Capitalising on your quantitative strengths, you will specialise in one of our high demand elite paths: AI Engineer (Agentic AI): Master autonomous AI architecture, LLMs, prompt engineering, RAG systems, and multi agent frameworks (CrewAI/AutoGen) on the Microsoft platform. AI Engineer (Machine Learning): Attain SageMaker platform mastery, data engineering for ML, custom model development (TensorFlow/PyTorch), and full MLOps pipelines. Data Engineer: Build modern data lakehouses using AWS and Databricks, Apache Spark, and advanced real time streaming pipelines. Cloud Engineer: Gain advanced mastery over compute, Kubernetes orchestration, networking deep dives, and cost optimisation practices. Perks, Progression & Support Elite Certifications Funded: We fully fund premium industry recognised certifications tailored to your track (e.g., AWS Solutions Architect, Microsoft AI Engineer Associate, Databricks Certified Data Engineer). High Touch Mentorship: You'll learn from active senior consultants and industry practitioners through weekly feedback sessions, 1-to-1 training reviews, and dedicated lab support. Vibrant Cohort Culture: Experience your initial face to face training elements in our Leeds hub with fully provided corporate accommodation options before moving into tactical delivery across the UK. 25 Days of Annual Leave: Plus 1 extra day every year for the first three years, with a holiday buying scheme. Pension Plan: Employer matched contributions up to 5%. Health Benefits: Comprehensive coverage for medical, dental, optical, and alternative therapies. Fitness Support: Subsidised gym memberships and a bike to work scheme. Commuter Benefits: Season ticket loans to make travel easier. Free Annual Rail Cards Electric vehicle salary sacrifice scheme Social Events: From annual kick offs and Christmas parties to team socials and sporting events, we love celebrating success together. What We're Looking For We are not looking for finished products, but we do require a highly specific, exceptional baseline of analytical capabilities. We require: A 2:1 or above in Mathematics, Computer Science, Physics, or an Engineering discipline. A-Level Mathematics and Further Mathematics, B or above. A demonstrable, genuine interest in AI, machine learning, data science, or quantitative problem solving. Strong Soft Skills & Adaptability: You need to be a collaborative problem solver who is eager to understand the wider business context and articulate technical concepts to stakeholders. Eligibility for UK Security Clearance (SC) and a willingness to relocate or travel for client project demands (primarily London/Leeds). If this sounds like the next step you've been dreaming of, apply today!
HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
26/07/2026
Full time
HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture
Senior Programme Manager - Clara Innovation & Deployment Summary of role purpose: The Senior Programme Manager, within the Innovation & Deployment team in Audit Technology is responsible for orchestrating the delivery of complex, cross-functional initiatives involving artificial intelligence and machine learning technologies. This role oversees programme governance, stakeholder alignment, and execution across the product lifecycle. Description of the role: Key Responsibilities Lead the successful delivery of technology portfolios, aligning programme milestones with business strategy, regulatory standards, and product innovation goals. Coordinate cross-functional teams in the UK and sometimes multi-nationally including product managers, engineers, data scientists, and SMEs to manage dependencies, risks, and delivery cadence. Establish programme governance, tracking KPIs related to timeline, risk posture, adoption, and quality and ethical compliance. Engage senior stakeholders across audit, risk, and IT to maintain visibility of programme progress and address concerns proactively. Champion agile delivery, value-stream thinking, and continuous learning across AI/ML workstreams. Maintain financial oversight of portfolio budgets and ensure timely reporting to leadership. Identify opportunities to scale, standardise, and accelerate deployment across audit domains. As our firm focuses heavily on the adoption of AI in all areas, ensure responsible AI practices, including fairness, explainability, and data governance, are embedded into delivery processes. Due to the nature of the position, you may be working at/visiting a client site and/or other KPMG offices. The person: Experience and knowledge requirements: Extensive experience in programme management or technology leadership roles within AI/ML, data science, and/or software development. Proven ability to lead large-scale, interdisciplinary initiatives in complex, regulated environments. Understanding of the software product development lifecycle; ideally including AI/ML lifecycle, model governance, MLOps, and responsible AI frameworks. Strong leadership, stakeholder engagement, and communication skills. Familiarity with audit processes, information security, and ethical AI implementation are all a strong advantage. Behavioural Attributes and Skills: Strategic leadership and ability to drive complex programmes aligned to business objectives. Exceptional stakeholder management, influencing, and communication skills. Strong programme governance, risk management, and decision-making capability. Ability to lead and motivate multidisciplinary teams across multiple locations. Highly organised with strong planning, prioritisation, and financial management skills. Collaborative, resilient, and adaptable with a continuous improvement mindset. Commitment to quality, ethical conduct, and responsible AI practices. Strong analytical, problem-solving, and change leadership capability. Experience in enterprise-scale AI/ML, data, or technology transformation programmes. Knowledge of audit, risk, compliance, or regulated environments. Qualifications: Bachelor's or Master's degree in a related field; programme management certifications required (PMP, MSP, Agile), multiple agile methodologies ideal; Lean Six Sigma certifications preferred. KPMG overview: KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues, we bring our creativity, insight and experience to solve our clients' and communities' biggest problems. We've been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility - through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start- ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that all candidates are treated fairly throughout the Recruitment Process. We pride ourselves on being a place where your individuality is valued; you can be yourself and still achieve your potential. We believe that your individuality helps us to deliver the best results to our clients. Diversity of background, diversity of experience, diversity of perspective - that's the KPMG difference.
26/07/2026
Full time
Senior Programme Manager - Clara Innovation & Deployment Summary of role purpose: The Senior Programme Manager, within the Innovation & Deployment team in Audit Technology is responsible for orchestrating the delivery of complex, cross-functional initiatives involving artificial intelligence and machine learning technologies. This role oversees programme governance, stakeholder alignment, and execution across the product lifecycle. Description of the role: Key Responsibilities Lead the successful delivery of technology portfolios, aligning programme milestones with business strategy, regulatory standards, and product innovation goals. Coordinate cross-functional teams in the UK and sometimes multi-nationally including product managers, engineers, data scientists, and SMEs to manage dependencies, risks, and delivery cadence. Establish programme governance, tracking KPIs related to timeline, risk posture, adoption, and quality and ethical compliance. Engage senior stakeholders across audit, risk, and IT to maintain visibility of programme progress and address concerns proactively. Champion agile delivery, value-stream thinking, and continuous learning across AI/ML workstreams. Maintain financial oversight of portfolio budgets and ensure timely reporting to leadership. Identify opportunities to scale, standardise, and accelerate deployment across audit domains. As our firm focuses heavily on the adoption of AI in all areas, ensure responsible AI practices, including fairness, explainability, and data governance, are embedded into delivery processes. Due to the nature of the position, you may be working at/visiting a client site and/or other KPMG offices. The person: Experience and knowledge requirements: Extensive experience in programme management or technology leadership roles within AI/ML, data science, and/or software development. Proven ability to lead large-scale, interdisciplinary initiatives in complex, regulated environments. Understanding of the software product development lifecycle; ideally including AI/ML lifecycle, model governance, MLOps, and responsible AI frameworks. Strong leadership, stakeholder engagement, and communication skills. Familiarity with audit processes, information security, and ethical AI implementation are all a strong advantage. Behavioural Attributes and Skills: Strategic leadership and ability to drive complex programmes aligned to business objectives. Exceptional stakeholder management, influencing, and communication skills. Strong programme governance, risk management, and decision-making capability. Ability to lead and motivate multidisciplinary teams across multiple locations. Highly organised with strong planning, prioritisation, and financial management skills. Collaborative, resilient, and adaptable with a continuous improvement mindset. Commitment to quality, ethical conduct, and responsible AI practices. Strong analytical, problem-solving, and change leadership capability. Experience in enterprise-scale AI/ML, data, or technology transformation programmes. Knowledge of audit, risk, compliance, or regulated environments. Qualifications: Bachelor's or Master's degree in a related field; programme management certifications required (PMP, MSP, Agile), multiple agile methodologies ideal; Lean Six Sigma certifications preferred. KPMG overview: KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues, we bring our creativity, insight and experience to solve our clients' and communities' biggest problems. We've been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility - through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start- ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that all candidates are treated fairly throughout the Recruitment Process. We pride ourselves on being a place where your individuality is valued; you can be yourself and still achieve your potential. We believe that your individuality helps us to deliver the best results to our clients. Diversity of background, diversity of experience, diversity of perspective - that's the KPMG difference.
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more. As part of Core Engineering at Goldman Sachs, the CE&A team is responsible for enabling the use of public cloud services across the firm. You will be working as part of a multi-disciplinary team responsible for researching, architecting and building a cutting edge platform that enable Goldman Sachs Engineering teams to deploy and manage services in public cloud safely and securely. The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting edge cloud computing and AI solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer centric product development. They will work closely with cross functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast paced global environment. Responsibilities And Qualifications: We are looking for a senior technical leader to join our Cloud Engineering & Architecture team and play a pivotal role in enabling the firm to maximize its use of cloud infrastructure. This is a hands on leadership position requiring deep technical expertise, strategic thinking, and the ability to drive large scale platform initiatives from conception to delivery. Key Responsibilities: Design, develop, and operationalize enterprise grade cloud platform capabilities. Architect scalable, resilient, and secure infrastructure solutions on AWS. Architect and operationalize autonomous AI based, self healing infrastructure Define technical standards, best practices, and reference architectures for cloud adoption across the firm. Partner with engineering teams to enable seamless migration and modernization of workloads to the cloud. Drive automation and infrastructure as code practices to improve operational efficiency. Drive AI powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets regulatory and governance requirements. Evaluate emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills: LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root cause analysis, anomaly detection, and semantic log clustering. Self Healing Infrastructure Engineering: Experience designing closed loop, self healing systems that autonomously execute recovery actions (e.g., traffic shifting, automated rollbacks, or service restarts) with built in verification and safety guardrails. AI Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over provisioning while maintaining strict SLAs. Complementary Behaviours: Toil Reduction Mindset: A relentless focus on eliminating repetitive operational support and engineering friction by shifting platform operations from reactive troubleshooting to autonomous mitigation. Risk Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human in the loop fallbacks for autonomous AI actions. Value Oriented Engineering: Treats cost optimization as a first class architectural metric, aligning infrastructure spend directly with business value and platform efficiency. Impact Preserving Innovation: Executes large scale optimization initiatives with a meticulous, risk mitigated approach, ensuring zero disruption to production environments or developer velocity. Basic Qualifications: 10+ years of experience in software engineering or infrastructure engineering. Deep hands on expertise with AWS services (EC2, EKS, Lambda, S3, IAM, VPC, CloudFormation, CDK, etc.). Strong background in platform engineering, building internal developer platforms, or infrastructure tooling. Experience designing and operating large scale distributed systems. Proficiency with infrastructure as code tools (Terraform, CloudFormation). Strong understanding of containerization and orchestration (Docker, Kubernetes). Experience with CI/CD pipelines and DevOps practices. Knowledge of networking, security, and identity management in cloud environments. Excellent communication skills with the ability to influence technical decisions across teams. Experience working in regulated industries is a plus. Preferred Qualifications: Experience building self service platforms for development teams. Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, CloudWatch). Background in financial services or other highly regulated environments. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short term disability, long term disability, life, accidental death, labor accident and business travel accident insurance. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). Child Care & Family Care We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer.
26/07/2026
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more. As part of Core Engineering at Goldman Sachs, the CE&A team is responsible for enabling the use of public cloud services across the firm. You will be working as part of a multi-disciplinary team responsible for researching, architecting and building a cutting edge platform that enable Goldman Sachs Engineering teams to deploy and manage services in public cloud safely and securely. The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting edge cloud computing and AI solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer centric product development. They will work closely with cross functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast paced global environment. Responsibilities And Qualifications: We are looking for a senior technical leader to join our Cloud Engineering & Architecture team and play a pivotal role in enabling the firm to maximize its use of cloud infrastructure. This is a hands on leadership position requiring deep technical expertise, strategic thinking, and the ability to drive large scale platform initiatives from conception to delivery. Key Responsibilities: Design, develop, and operationalize enterprise grade cloud platform capabilities. Architect scalable, resilient, and secure infrastructure solutions on AWS. Architect and operationalize autonomous AI based, self healing infrastructure Define technical standards, best practices, and reference architectures for cloud adoption across the firm. Partner with engineering teams to enable seamless migration and modernization of workloads to the cloud. Drive automation and infrastructure as code practices to improve operational efficiency. Drive AI powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets regulatory and governance requirements. Evaluate emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills: LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root cause analysis, anomaly detection, and semantic log clustering. Self Healing Infrastructure Engineering: Experience designing closed loop, self healing systems that autonomously execute recovery actions (e.g., traffic shifting, automated rollbacks, or service restarts) with built in verification and safety guardrails. AI Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over provisioning while maintaining strict SLAs. Complementary Behaviours: Toil Reduction Mindset: A relentless focus on eliminating repetitive operational support and engineering friction by shifting platform operations from reactive troubleshooting to autonomous mitigation. Risk Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human in the loop fallbacks for autonomous AI actions. Value Oriented Engineering: Treats cost optimization as a first class architectural metric, aligning infrastructure spend directly with business value and platform efficiency. Impact Preserving Innovation: Executes large scale optimization initiatives with a meticulous, risk mitigated approach, ensuring zero disruption to production environments or developer velocity. Basic Qualifications: 10+ years of experience in software engineering or infrastructure engineering. Deep hands on expertise with AWS services (EC2, EKS, Lambda, S3, IAM, VPC, CloudFormation, CDK, etc.). Strong background in platform engineering, building internal developer platforms, or infrastructure tooling. Experience designing and operating large scale distributed systems. Proficiency with infrastructure as code tools (Terraform, CloudFormation). Strong understanding of containerization and orchestration (Docker, Kubernetes). Experience with CI/CD pipelines and DevOps practices. Knowledge of networking, security, and identity management in cloud environments. Excellent communication skills with the ability to influence technical decisions across teams. Experience working in regulated industries is a plus. Preferred Qualifications: Experience building self service platforms for development teams. Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, CloudWatch). Background in financial services or other highly regulated environments. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short term disability, long term disability, life, accidental death, labor accident and business travel accident insurance. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). Child Care & Family Care We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer.
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more. Cloud Engineering & Architecture (CE&A) As part of Core Engineering at Goldman Sachs, the CE&A team is responsible for enabling the use of public cloud services across the firm. You will be working as part of a multi-disciplinary team responsible for researching, architecting and building a cutting-edge platform that enable Goldman Sachs Engineering teams to deploy and manage services in public cloud safely and securely. The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting-edge cloud computing and AI solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer-centric product development. They will work closely with cross-functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Responsibilities And Qualifications: We are looking for a senior technical leader to join our Cloud Engineering & Architecture team and play a pivotal role in enabling the firm to maximize its use of cloud infrastructure. This is a hands-on leadership position requiring deep technical expertise, strategic thinking, and the ability to drive large-scale platform initiatives from conception to delivery. Key Responsibilities: Design, develop, and operationalize enterprise-grade cloud platform capabilities. Architect scalable, resilient, and secure infrastructure solutions on AWS. Architect and operationalize autonomous AI based, self-healing infrastructure Define technical standards, best practices, and reference architectures for cloud adoption across the firm. Partner with engineering teams to enable seamless migration and modernization of workloads to the cloud. Drive automation and infrastructure-as-code practices to improve operational efficiency. Drive AI-powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets regulatory and governance requirements. Evaluate emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills: LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi-step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root-cause analysis, anomaly detection, and semantic log clustering. Self-Healing Infrastructure Engineering: Experience designing closed-loop, self-healing systems that autonomously execute recovery actions (e.g., traffic shifting, automated rollbacks, or service restarts) with built-in verification and safety guardrails. AI-Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right-size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over-provisioning while maintaining strict SLAs. Complementary Behaviours: Toil-Reduction Mindset: A relentless focus on eliminating repetitive operational support and engineering friction by shifting platform operations from reactive troubleshooting to autonomous mitigation. Risk-Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human-in-the-loop fallbacks for autonomous AI actions. Value-Oriented Engineering: Treats cost optimization as a first-class architectural metric, aligning infrastructure spend directly with business value and platform efficiency. Impact-Preserving Innovation: Executes large-scale optimization initiatives with a meticulous, risk-mitigated approach, ensuring zero disruption to production environments or developer velocity. Basic Qualifications: 10+ years of experience in software engineering or infrastructure engineering. Deep hands-on expertise with AWS services (EC2, EKS, Lambda, S3, IAM, VPC, CloudFormation, CDK, etc.). Strong background in platform engineering, building internal developer platforms, or infrastructure tooling. Experience designing and operating large-scale distributed systems. Proficiency with infrastructure-as-code tools (Terraform, CloudFormation). Strong understanding of containerization and orchestration (Docker, Kubernetes). Experience with CI/CD pipelines and DevOps practices. Knowledge of networking, security, and identity management in cloud environments. Excellent communication skills with the ability to influence technical decisions across teams. Experience working in regulated industries is a plus. Preferred Qualifications: AWS certifications (Solutions Architect Professional, DevOps Engineer, etc.). Experience building self-service platforms for development teams. Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, CloudWatch). Background in financial services or other highly regulated environments. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. Learn more:
26/07/2026
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more. Cloud Engineering & Architecture (CE&A) As part of Core Engineering at Goldman Sachs, the CE&A team is responsible for enabling the use of public cloud services across the firm. You will be working as part of a multi-disciplinary team responsible for researching, architecting and building a cutting-edge platform that enable Goldman Sachs Engineering teams to deploy and manage services in public cloud safely and securely. The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting-edge cloud computing and AI solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer-centric product development. They will work closely with cross-functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Responsibilities And Qualifications: We are looking for a senior technical leader to join our Cloud Engineering & Architecture team and play a pivotal role in enabling the firm to maximize its use of cloud infrastructure. This is a hands-on leadership position requiring deep technical expertise, strategic thinking, and the ability to drive large-scale platform initiatives from conception to delivery. Key Responsibilities: Design, develop, and operationalize enterprise-grade cloud platform capabilities. Architect scalable, resilient, and secure infrastructure solutions on AWS. Architect and operationalize autonomous AI based, self-healing infrastructure Define technical standards, best practices, and reference architectures for cloud adoption across the firm. Partner with engineering teams to enable seamless migration and modernization of workloads to the cloud. Drive automation and infrastructure-as-code practices to improve operational efficiency. Drive AI-powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets regulatory and governance requirements. Evaluate emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills: LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi-step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root-cause analysis, anomaly detection, and semantic log clustering. Self-Healing Infrastructure Engineering: Experience designing closed-loop, self-healing systems that autonomously execute recovery actions (e.g., traffic shifting, automated rollbacks, or service restarts) with built-in verification and safety guardrails. AI-Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right-size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over-provisioning while maintaining strict SLAs. Complementary Behaviours: Toil-Reduction Mindset: A relentless focus on eliminating repetitive operational support and engineering friction by shifting platform operations from reactive troubleshooting to autonomous mitigation. Risk-Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human-in-the-loop fallbacks for autonomous AI actions. Value-Oriented Engineering: Treats cost optimization as a first-class architectural metric, aligning infrastructure spend directly with business value and platform efficiency. Impact-Preserving Innovation: Executes large-scale optimization initiatives with a meticulous, risk-mitigated approach, ensuring zero disruption to production environments or developer velocity. Basic Qualifications: 10+ years of experience in software engineering or infrastructure engineering. Deep hands-on expertise with AWS services (EC2, EKS, Lambda, S3, IAM, VPC, CloudFormation, CDK, etc.). Strong background in platform engineering, building internal developer platforms, or infrastructure tooling. Experience designing and operating large-scale distributed systems. Proficiency with infrastructure-as-code tools (Terraform, CloudFormation). Strong understanding of containerization and orchestration (Docker, Kubernetes). Experience with CI/CD pipelines and DevOps practices. Knowledge of networking, security, and identity management in cloud environments. Excellent communication skills with the ability to influence technical decisions across teams. Experience working in regulated industries is a plus. Preferred Qualifications: AWS certifications (Solutions Architect Professional, DevOps Engineer, etc.). Experience building self-service platforms for development teams. Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, CloudWatch). Background in financial services or other highly regulated environments. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. Learn more:
What We Do At the company, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. the company Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more. Cloud Engineering & Architecture (CE&A) As part of Core Engineering at the company, the CE&A team is responsible for enabling the use of public cloud services across the firm. You will be working as part of a multi-disciplinary team responsible for researching, architecting and building a cutting edge platform that enable the company Engineering teams to deploy and manage services in public cloud safely and securely. The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting edge cloud computing and AI solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer centric product development. They will work closely with cross functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast paced global environment. Responsibilities And Qualifications: We are looking for a senior technical leader to join our Cloud Engineering & Architecture team and play a pivotal role in enabling the firm to maximize its use of cloud infrastructure. This is a hands on leadership position requiring deep technical expertise, strategic thinking, and the ability to drive large scale platform initiatives from conception to delivery. Key Responsibilities: Design, develop, and operationalize enterprise grade cloud platform capabilities. Architect scalable, resilient, and secure infrastructure solutions on AWS. Architect and operationalize autonomous AI based, self healing infrastructure Define technical standards, best practices, and reference architectures for cloud adoption across the firm. Partner with engineering teams to enable seamless migration and modernization of workloads to the cloud. Drive automation and infrastructure as code practices to improve operational efficiency. Drive AI powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets regulatory and governance requirements. Evaluate emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills: LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root cause analysis, anomaly detection, and semantic log clustering. Self Healing Infrastructure Engineering: Experience designing closed loop, self healing systems that autonomously execute recovery actions (e.g., traffic shifting, automated rollbacks, or service restarts) with built in verification and safety guardrails. AI Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over provisioning while maintaining strict SLAs. Complementary Behaviours: Toil Reduction Mindset: A relentless focus on eliminating repetitive operational support and engineering friction by shifting platform operations from reactive troubleshooting to autonomous mitigation. Risk Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human in the loop fallbacks for autonomous AI actions. Value Oriented Engineering: Treats cost optimization as a first class architectural metric, aligning infrastructure spend directly with business value and platform efficiency. Impact Preserving Innovation: Executes large scale optimization initiatives with a meticulous, risk mitigated approach, ensuring zero disruption to production environments or developer velocity. Basic Qualifications: 10+ years of experience in software engineering or infrastructure engineering. Deep hands on expertise with AWS services (EC2, EKS, Lambda, S3, IAM, VPC, CloudFormation, CDK, etc.). Strong background in platform engineering, building internal developer platforms, or infrastructure tooling. Experience designing and operating large scale distributed systems. Proficiency with infrastructure as code tools (Terraform, CloudFormation). Strong understanding of containerization and orchestration (Docker, Kubernetes). Experience with CI/CD pipelines and DevOps practices. Knowledge of networking, security, and identity management in cloud environments. Excellent communication skills with the ability to influence technical decisions across teams. Experience working in regulated industries is a plus. Preferred Qualifications: AWS certifications (Solutions Architect Professional, DevOps Engineer, etc.). Experience building self service platforms for development teams. Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, CloudWatch). Background in financial services or other highly regulated environments. About the company At the company, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at We're committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. : We Offer Best-In-Class Benefits Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short term disability, long term disability, life, accidental death, labor accident and business travel accident insurance. Holiday & Vacation Policies We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). Child Care & Family Care We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at the company Read more about the full suite of class leading benefits our firm has to offer.
26/07/2026
Full time
What We Do At the company, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. the company Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more. Cloud Engineering & Architecture (CE&A) As part of Core Engineering at the company, the CE&A team is responsible for enabling the use of public cloud services across the firm. You will be working as part of a multi-disciplinary team responsible for researching, architecting and building a cutting edge platform that enable the company Engineering teams to deploy and manage services in public cloud safely and securely. The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting edge cloud computing and AI solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer centric product development. They will work closely with cross functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast paced global environment. Responsibilities And Qualifications: We are looking for a senior technical leader to join our Cloud Engineering & Architecture team and play a pivotal role in enabling the firm to maximize its use of cloud infrastructure. This is a hands on leadership position requiring deep technical expertise, strategic thinking, and the ability to drive large scale platform initiatives from conception to delivery. Key Responsibilities: Design, develop, and operationalize enterprise grade cloud platform capabilities. Architect scalable, resilient, and secure infrastructure solutions on AWS. Architect and operationalize autonomous AI based, self healing infrastructure Define technical standards, best practices, and reference architectures for cloud adoption across the firm. Partner with engineering teams to enable seamless migration and modernization of workloads to the cloud. Drive automation and infrastructure as code practices to improve operational efficiency. Drive AI powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets regulatory and governance requirements. Evaluate emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills: LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi step diagnostic and remediation tasks. AIOps & Intelligent Observability: Ability to integrate traditional observability stacks (e.g., Datadog, Prometheus, OpenTelemetry) with AI/ML models to automate root cause analysis, anomaly detection, and semantic log clustering. Self Healing Infrastructure Engineering: Experience designing closed loop, self healing systems that autonomously execute recovery actions (e.g., traffic shifting, automated rollbacks, or service restarts) with built in verification and safety guardrails. AI Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over provisioning while maintaining strict SLAs. Complementary Behaviours: Toil Reduction Mindset: A relentless focus on eliminating repetitive operational support and engineering friction by shifting platform operations from reactive troubleshooting to autonomous mitigation. Risk Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human in the loop fallbacks for autonomous AI actions. Value Oriented Engineering: Treats cost optimization as a first class architectural metric, aligning infrastructure spend directly with business value and platform efficiency. Impact Preserving Innovation: Executes large scale optimization initiatives with a meticulous, risk mitigated approach, ensuring zero disruption to production environments or developer velocity. Basic Qualifications: 10+ years of experience in software engineering or infrastructure engineering. Deep hands on expertise with AWS services (EC2, EKS, Lambda, S3, IAM, VPC, CloudFormation, CDK, etc.). Strong background in platform engineering, building internal developer platforms, or infrastructure tooling. Experience designing and operating large scale distributed systems. Proficiency with infrastructure as code tools (Terraform, CloudFormation). Strong understanding of containerization and orchestration (Docker, Kubernetes). Experience with CI/CD pipelines and DevOps practices. Knowledge of networking, security, and identity management in cloud environments. Excellent communication skills with the ability to influence technical decisions across teams. Experience working in regulated industries is a plus. Preferred Qualifications: AWS certifications (Solutions Architect Professional, DevOps Engineer, etc.). Experience building self service platforms for development teams. Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, CloudWatch). Background in financial services or other highly regulated environments. About the company At the company, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at We're committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. : We Offer Best-In-Class Benefits Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short term disability, long term disability, life, accidental death, labor accident and business travel accident insurance. Holiday & Vacation Policies We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). Child Care & Family Care We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at the company Read more about the full suite of class leading benefits our firm has to offer.
About the Role: We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to innovative projects across various industries. Whether you're early in your career or looking to transition into AI, we offer full training and a supportive environment to help you grow. Flexible and remote working arrangements are available. Key Responsibilities: Design, develop, and deploy machine learning models to solve real-world problems Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into scalable applications Preprocess and analyze large datasets for use in training and evaluation Monitor, maintain, and improve model performance over time Stay current with the latest research and advancements in machine learning and AI technologies Essential Requirements: Familiarity with data preprocessing techniques and data pipelines Strong analytical and problem-solving skills A degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Awareness of AI ethics, fairness, bias mitigation, and emerging regulations around responsible AI Desirable Skills: Experience with cloud platforms (AWS, GCP, Azure) Knowledge of MLOps practices and tools Familiarity with natural language processing or computer vision Strong foundation in Python and machine learning libraries Understanding of key ML algorithms (e.g., regression, classification, clustering, neural networks) What We Offer: A starting salary of £39,000 with regular performance-based reviews Full training and mentorship to support your development in AI and machine learning Clear career progression paths into senior engineering, research, or leadership roles Flexible working with the option to work remotely part time Access to industry standard tools, cloud platforms, and AI research resources A collaborative and inclusive team culture based in Central London How to Apply: If you're ready to take the next step in your AI career, we'd love to hear from you. Submit your CV and a short cover letter outlining your interest in the role and any relevant experience. Company: Tech Recruitment UK Ltd Level of experience (years): Senior (5+ years of experience)
26/07/2026
Full time
About the Role: We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to innovative projects across various industries. Whether you're early in your career or looking to transition into AI, we offer full training and a supportive environment to help you grow. Flexible and remote working arrangements are available. Key Responsibilities: Design, develop, and deploy machine learning models to solve real-world problems Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into scalable applications Preprocess and analyze large datasets for use in training and evaluation Monitor, maintain, and improve model performance over time Stay current with the latest research and advancements in machine learning and AI technologies Essential Requirements: Familiarity with data preprocessing techniques and data pipelines Strong analytical and problem-solving skills A degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Awareness of AI ethics, fairness, bias mitigation, and emerging regulations around responsible AI Desirable Skills: Experience with cloud platforms (AWS, GCP, Azure) Knowledge of MLOps practices and tools Familiarity with natural language processing or computer vision Strong foundation in Python and machine learning libraries Understanding of key ML algorithms (e.g., regression, classification, clustering, neural networks) What We Offer: A starting salary of £39,000 with regular performance-based reviews Full training and mentorship to support your development in AI and machine learning Clear career progression paths into senior engineering, research, or leadership roles Flexible working with the option to work remotely part time Access to industry standard tools, cloud platforms, and AI research resources A collaborative and inclusive team culture based in Central London How to Apply: If you're ready to take the next step in your AI career, we'd love to hear from you. Submit your CV and a short cover letter outlining your interest in the role and any relevant experience. Company: Tech Recruitment UK Ltd Level of experience (years): Senior (5+ years of experience)
At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
26/07/2026
Full time
At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems
25/07/2026
Full time
Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
25/07/2026
Full time
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
Hybrid - Client Sites & EX3 London Office Duration 2-Year Structured Graduate Programme Start Date Rolling intake - September & January cohorts Reports To Head of AI Labs About EX3 EX3 is a technology advisory and delivery firm built for momentum. We put technology in the service of people - helping organisations envision bold futures, execute with precision, and excel at every stage of their transformation journey. EX3 AI Labs is our dedicated research, innovation, and delivery engine for artificial intelligence. We work at the intersection of AI advisory, product development, and applied machine learning - helping clients across industries harness the full potential of AI, responsibly and at scale. The Opportunity This is not a traditional graduate role. The EX3 AI Labs Graduate Programme is designed for ambitious individuals who want to shape the future of AI - not just observe it. From day one, you will work alongside experienced AI practitioners, data scientists, and technology strategists on real client engagements and internal innovation projects. You will rotate across three core practice areas over two years, building deep expertise in the disciplines that define modern AI delivery: Key Responsibilities AI Advisory & Strategy Work closely with our AI Advisory team to support the design and delivery of AI readiness assessments and transformation roadmaps for enterprise clients Contribute to client workshops, discovery sessions, and stakeholder presentations on AI strategy and use case identification Research emerging AI trends, frameworks, and regulations to inform advisory outputs and thought leadership Assist in developing business cases for AI adoption, including ROI modelling and risk assessments Machine Learning & AI Engineering Translate client and end user requirements into functional AI product specifications Develop, train, and evaluate machine learning models using modern frameworks and cloud platforms Write clean, well documented code (Python, SQL, and relevant ML libraries) for data pipelines, model training, and inference Support the deployment and monitoring of ML models in production environments Conduct exploratory data analysis, feature engineering, and model performance benchmarking Software Development Lifecycle Contribute to EX3 AI Labs' internal innovation pipeline - from ideation through to proof of concept Develop software wireframes for lifecycle and client projects Build frontend (Typescript/ React) and backend solutions Work within cloud platforms such as Azure to host web applications Produce internal research notes, innovation briefs, and demo outputs for AI Labs showcases Who We're Looking For Academic Background You will hold, or be on track to achieve, a 2:1 or above in a relevant degree discipline. We welcome applications from graduates or those pursuing a master's course across a broad range of fields, including: Computer Science, Software Engineering, or Artificial Intelligence Mathematics, Statistics, or Data Science Technical Skills & Experience We don't expect you to arrive as an expert - but we do expect genuine curiosity and a foundation to build on. Ideal candidates will demonstrate some of the following: Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, overfitting, bias Experience with data manipulation tools: Pandas, NumPy, SQL Exposure to cloud platforms (AWS, Azure, GCP) or AI-specific services (OpenAI, Vertex AI, Bedrock) Familiarity with version control (Git) and software development best practices Any experience building personal AI projects, Kaggle competition participation, or research publications is a strong advantage Interests & Mindset Technical ability alone is not what sets EX3 graduates apart. We are looking for individuals who bring: A genuine passion for AI and its real world applications - you read, experiment, and stay current Intellectual curiosity and the ability to learn fast in a fast moving field Strong communication skills - the ability to explain complex AI concepts to non technical audiences A client first mindset - empathy for end users and a drive to deliver tangible outcomes Collaborative spirit - comfortable working in cross functional teams and contributing to a shared mission Ambition and accountability - you take ownership, ask questions, and push boundaries An ethical lens - awareness of AI risks, fairness, transparency, and responsible deployment What to Expect From the Programme Year One - Foundation & Exposure Three rotations across AI Advisory, ML Engineering, and Software Development Lifecycle labs Structured onboarding including EX3 AI Labs induction, tooling setup, and methodology training Assigned a senior mentor from day one - regular 1:1 coaching and career guidance Access to the EX3 Learning Platform and sponsored certifications (AWS, GCP, Azure AI, or equivalent) Contribution to at least one live client project within the first 90 days Year Two - Specialism & Ownership Elect a primary practice specialism based on Year One performance and personal interests Lead delivery workstreams on client facing AI engagements under senior supervision Develop and present an innovation project as part of the EX3 AI Labs showcase Contribute to business development by supporting proposals, demonstrations, and thought leadership Complete a structured performance review with a pathway to a permanent role at EX3 Performance Expectations Technical Growth: Demonstrable progression in AI/ML skills, certifications achieved, and quality of technical output Client Impact: Quality of client facing work, feedback received, and contribution to positive outcomes; effectiveness as a team member - reliability, communication, and how you uplift others; volume and quality of ideas contributed, experiments run, and initiative shown Professional Development: Engagement with learning, mentorship, and readiness for greater responsibility EX3 Values Alignment: Living the values: Trusted, Client First, Innovative, Accountable, Solution Focused Why EX3 AI Labs Work on real, complex AI challenges - not sandboxed graduate projects A team that combines deep technology expertise with genuine advisory experience A culture of innovation - we experiment, we fail fast, and we improve Direct access to clients across industries including financial services, retail, healthcare, and the public sector A clear and transparent pathway from graduate to consultant to senior roles Competitive graduate salary, performance bonus, and sponsored learning budget A collaborative, inclusive environment where your voice is heard from day one How to Apply We accept applications on a rolling basis for our September and January cohorts. Applications should include: A current CV highlighting academic achievements, technical projects, and any relevant work experience A cover letter (maximum one page) setting out why you are drawn to AI, why EX3, and what you hope to contribute Optional: a link to a personal project, GitHub repository, Kaggle profile, or published work Shortlisted candidates will be invited to a two stage process: an AI aptitude and technical assessment, followed by a panel interview with members of the EX3 AI Labs team. All candidates must have the right to work in the UK for the entire duration of the graduate scheme EX3 is committed to creating an inclusive and equitable workplace. We consider all qualified applicants without discrimination on the basis of race, colour, national origin, religion, sex, sexual orientation, gender identity, disability, or any other characteristic protected by law.
25/07/2026
Full time
Hybrid - Client Sites & EX3 London Office Duration 2-Year Structured Graduate Programme Start Date Rolling intake - September & January cohorts Reports To Head of AI Labs About EX3 EX3 is a technology advisory and delivery firm built for momentum. We put technology in the service of people - helping organisations envision bold futures, execute with precision, and excel at every stage of their transformation journey. EX3 AI Labs is our dedicated research, innovation, and delivery engine for artificial intelligence. We work at the intersection of AI advisory, product development, and applied machine learning - helping clients across industries harness the full potential of AI, responsibly and at scale. The Opportunity This is not a traditional graduate role. The EX3 AI Labs Graduate Programme is designed for ambitious individuals who want to shape the future of AI - not just observe it. From day one, you will work alongside experienced AI practitioners, data scientists, and technology strategists on real client engagements and internal innovation projects. You will rotate across three core practice areas over two years, building deep expertise in the disciplines that define modern AI delivery: Key Responsibilities AI Advisory & Strategy Work closely with our AI Advisory team to support the design and delivery of AI readiness assessments and transformation roadmaps for enterprise clients Contribute to client workshops, discovery sessions, and stakeholder presentations on AI strategy and use case identification Research emerging AI trends, frameworks, and regulations to inform advisory outputs and thought leadership Assist in developing business cases for AI adoption, including ROI modelling and risk assessments Machine Learning & AI Engineering Translate client and end user requirements into functional AI product specifications Develop, train, and evaluate machine learning models using modern frameworks and cloud platforms Write clean, well documented code (Python, SQL, and relevant ML libraries) for data pipelines, model training, and inference Support the deployment and monitoring of ML models in production environments Conduct exploratory data analysis, feature engineering, and model performance benchmarking Software Development Lifecycle Contribute to EX3 AI Labs' internal innovation pipeline - from ideation through to proof of concept Develop software wireframes for lifecycle and client projects Build frontend (Typescript/ React) and backend solutions Work within cloud platforms such as Azure to host web applications Produce internal research notes, innovation briefs, and demo outputs for AI Labs showcases Who We're Looking For Academic Background You will hold, or be on track to achieve, a 2:1 or above in a relevant degree discipline. We welcome applications from graduates or those pursuing a master's course across a broad range of fields, including: Computer Science, Software Engineering, or Artificial Intelligence Mathematics, Statistics, or Data Science Technical Skills & Experience We don't expect you to arrive as an expert - but we do expect genuine curiosity and a foundation to build on. Ideal candidates will demonstrate some of the following: Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, overfitting, bias Experience with data manipulation tools: Pandas, NumPy, SQL Exposure to cloud platforms (AWS, Azure, GCP) or AI-specific services (OpenAI, Vertex AI, Bedrock) Familiarity with version control (Git) and software development best practices Any experience building personal AI projects, Kaggle competition participation, or research publications is a strong advantage Interests & Mindset Technical ability alone is not what sets EX3 graduates apart. We are looking for individuals who bring: A genuine passion for AI and its real world applications - you read, experiment, and stay current Intellectual curiosity and the ability to learn fast in a fast moving field Strong communication skills - the ability to explain complex AI concepts to non technical audiences A client first mindset - empathy for end users and a drive to deliver tangible outcomes Collaborative spirit - comfortable working in cross functional teams and contributing to a shared mission Ambition and accountability - you take ownership, ask questions, and push boundaries An ethical lens - awareness of AI risks, fairness, transparency, and responsible deployment What to Expect From the Programme Year One - Foundation & Exposure Three rotations across AI Advisory, ML Engineering, and Software Development Lifecycle labs Structured onboarding including EX3 AI Labs induction, tooling setup, and methodology training Assigned a senior mentor from day one - regular 1:1 coaching and career guidance Access to the EX3 Learning Platform and sponsored certifications (AWS, GCP, Azure AI, or equivalent) Contribution to at least one live client project within the first 90 days Year Two - Specialism & Ownership Elect a primary practice specialism based on Year One performance and personal interests Lead delivery workstreams on client facing AI engagements under senior supervision Develop and present an innovation project as part of the EX3 AI Labs showcase Contribute to business development by supporting proposals, demonstrations, and thought leadership Complete a structured performance review with a pathway to a permanent role at EX3 Performance Expectations Technical Growth: Demonstrable progression in AI/ML skills, certifications achieved, and quality of technical output Client Impact: Quality of client facing work, feedback received, and contribution to positive outcomes; effectiveness as a team member - reliability, communication, and how you uplift others; volume and quality of ideas contributed, experiments run, and initiative shown Professional Development: Engagement with learning, mentorship, and readiness for greater responsibility EX3 Values Alignment: Living the values: Trusted, Client First, Innovative, Accountable, Solution Focused Why EX3 AI Labs Work on real, complex AI challenges - not sandboxed graduate projects A team that combines deep technology expertise with genuine advisory experience A culture of innovation - we experiment, we fail fast, and we improve Direct access to clients across industries including financial services, retail, healthcare, and the public sector A clear and transparent pathway from graduate to consultant to senior roles Competitive graduate salary, performance bonus, and sponsored learning budget A collaborative, inclusive environment where your voice is heard from day one How to Apply We accept applications on a rolling basis for our September and January cohorts. Applications should include: A current CV highlighting academic achievements, technical projects, and any relevant work experience A cover letter (maximum one page) setting out why you are drawn to AI, why EX3, and what you hope to contribute Optional: a link to a personal project, GitHub repository, Kaggle profile, or published work Shortlisted candidates will be invited to a two stage process: an AI aptitude and technical assessment, followed by a panel interview with members of the EX3 AI Labs team. All candidates must have the right to work in the UK for the entire duration of the graduate scheme EX3 is committed to creating an inclusive and equitable workplace. We consider all qualified applicants without discrimination on the basis of race, colour, national origin, religion, sex, sexual orientation, gender identity, disability, or any other characteristic protected by law.
