Newlon Housing Trust is a successful charitable housing association and one of the major providers of new affordable housing in north and east London.
We have an opportunity for an experienced data analyst to work with Newlon’s Business Intelligence Lead ensuring that all data is accurate, reliable and trusted enabling the delivery of quality reports.
To include:
Business intelligence – gathering data and ensuring data quality to provide residents, colleagues and decision makers with accurate information.
Reporting – creating engaging and informative reports and present findings to decision makers to support the delivery of excellent services, the maintenance of high-quality homes and the ability to make efficient and effective decisions.
Benchmarking – comparing Newlon’s performance with other organisations to demonstrate areas of good practice and identify opportunities for improvement.
Insight – applying your critical thinking and communication skills to interpret data, identify trends and anomalies, and provide high-quality analysis.
You will work in partnership with the IT and service teams and provide ongoing assurance to managers and senior leaders with regards to data quality and improvement.
With proven experience of working in a data driven environment on large datasets, you will have strong analytical and critical thinking skills, along with strong Microsoft Excel skills and a naturally inquisitive approach to problem-solving. You will have proven experience of data entry into IT systems using a variety of computer databases, an eye for detail and a thorough understanding of data analysis and data modelling.
In return, you can expect 27 days holiday, a non-contributory pension, excellent benefits and a flexi scheme. You’ll also be working out of purpose-built offices that form part of the award-winning Hale Village regeneration project, and are situated just two minutes’ walk from the major transport interchange at Tottenham Hale.
For further information and details of how to apply, please visit our website:
www.newlon.org.uk/vacancies
Closing date: 23:59 on Tuesday 4 August 2026
Interviews will be held in person at our offices in Hale Village on Monday 17 August 2026
Newlon Housing Trust is a charitable housing association and a committed Equal Opportunities employer. Applicants must be eligible to work in the UK.
No agencies please.
20/07/2026
Full time
Newlon Housing Trust is a successful charitable housing association and one of the major providers of new affordable housing in north and east London.
We have an opportunity for an experienced data analyst to work with Newlon’s Business Intelligence Lead ensuring that all data is accurate, reliable and trusted enabling the delivery of quality reports.
To include:
Business intelligence – gathering data and ensuring data quality to provide residents, colleagues and decision makers with accurate information.
Reporting – creating engaging and informative reports and present findings to decision makers to support the delivery of excellent services, the maintenance of high-quality homes and the ability to make efficient and effective decisions.
Benchmarking – comparing Newlon’s performance with other organisations to demonstrate areas of good practice and identify opportunities for improvement.
Insight – applying your critical thinking and communication skills to interpret data, identify trends and anomalies, and provide high-quality analysis.
You will work in partnership with the IT and service teams and provide ongoing assurance to managers and senior leaders with regards to data quality and improvement.
With proven experience of working in a data driven environment on large datasets, you will have strong analytical and critical thinking skills, along with strong Microsoft Excel skills and a naturally inquisitive approach to problem-solving. You will have proven experience of data entry into IT systems using a variety of computer databases, an eye for detail and a thorough understanding of data analysis and data modelling.
In return, you can expect 27 days holiday, a non-contributory pension, excellent benefits and a flexi scheme. You’ll also be working out of purpose-built offices that form part of the award-winning Hale Village regeneration project, and are situated just two minutes’ walk from the major transport interchange at Tottenham Hale.
For further information and details of how to apply, please visit our website:
www.newlon.org.uk/vacancies
Closing date: 23:59 on Tuesday 4 August 2026
Interviews will be held in person at our offices in Hale Village on Monday 17 August 2026
Newlon Housing Trust is a charitable housing association and a committed Equal Opportunities employer. Applicants must be eligible to work in the UK.
No agencies please.
The Business Systems Architect serves as the strategic technical lead for the business's core systems and digital transformation.
The core purpose of this role is to design, implement, and optimise enterprise-wide technology solutions that actively drive business change.
Enhancing critical platforms such as IFS Cloud, EDI, and modern API integration, as well as pioneering new capabilities like AI and advanced barcoding / QR integration, the Business Systems Architect ensures our technology infrastructure robustly supports operational efficiency, supply chain visibility, and Rodda's future growth.
This role acts as the bridge between complex technical requirements and tangible business outcomes. What are we looking for?
System Architecture and Integration
Lead the architectural design, administration, and continuous improvement of IFS Cloud .
Lead the Systems and Process team with collaborative inter-departmental working.
Architect, develop, and maintain secure API integrations between internal systems, legacy applications, and third-party platforms.
Enhancement of existing platforms into standardised mandatory business processes.
Oversee existing and potentially new EDI solutions to ensure seamless, automated data flow with our supply key customers whilst planning for enhanced connectivity in both forecasting and supply chain.
Maintain a holistic view of the company's technical architecture, ensuring all systems communicate effectively and securely.
Innovation and Business Change
Act as a primary driver for technology-driven business change, partnering with department heads to translate complex business challenges into clear technical requirements.
Drive the exploration, evaluation, and implementation of AI integrations both Generative and Agentic to optimise manufacturing, supply chain, and administrative processes. Develop where necessary but lead towards success.
Lead barcoding integration initiatives to enhance traceability, inventory management, and factory-floor efficiency with future work on the Hyper-traceability initiative and QR code replacement
Champion new technologies and agile methodologies to keep the business at the forefront of industry.
Project Leadership and Support
Design future operating models for new technology deployments, ensuring successful end-to-end delivery.
Compile comprehensive architectural documentation, system workflows, and integration maps.
Provide high-level (3rd line) escalation support and technical mentorship to the wider IT Helpdesk and System & Process teams.
Be part of the on-call rota supporting the business and employees.
Ensure all architectural designs comply with internal data security, GDPR DPO, and disaster recovery standards.
Work closely with Suppliers to deliver solutions to projects whilst maintaining a high-level of technical documentation.
20/07/2026
Full time
The Business Systems Architect serves as the strategic technical lead for the business's core systems and digital transformation.
The core purpose of this role is to design, implement, and optimise enterprise-wide technology solutions that actively drive business change.
Enhancing critical platforms such as IFS Cloud, EDI, and modern API integration, as well as pioneering new capabilities like AI and advanced barcoding / QR integration, the Business Systems Architect ensures our technology infrastructure robustly supports operational efficiency, supply chain visibility, and Rodda's future growth.
This role acts as the bridge between complex technical requirements and tangible business outcomes. What are we looking for?
System Architecture and Integration
Lead the architectural design, administration, and continuous improvement of IFS Cloud .
Lead the Systems and Process team with collaborative inter-departmental working.
Architect, develop, and maintain secure API integrations between internal systems, legacy applications, and third-party platforms.
Enhancement of existing platforms into standardised mandatory business processes.
Oversee existing and potentially new EDI solutions to ensure seamless, automated data flow with our supply key customers whilst planning for enhanced connectivity in both forecasting and supply chain.
Maintain a holistic view of the company's technical architecture, ensuring all systems communicate effectively and securely.
Innovation and Business Change
Act as a primary driver for technology-driven business change, partnering with department heads to translate complex business challenges into clear technical requirements.
Drive the exploration, evaluation, and implementation of AI integrations both Generative and Agentic to optimise manufacturing, supply chain, and administrative processes. Develop where necessary but lead towards success.
Lead barcoding integration initiatives to enhance traceability, inventory management, and factory-floor efficiency with future work on the Hyper-traceability initiative and QR code replacement
Champion new technologies and agile methodologies to keep the business at the forefront of industry.
Project Leadership and Support
Design future operating models for new technology deployments, ensuring successful end-to-end delivery.
Compile comprehensive architectural documentation, system workflows, and integration maps.
Provide high-level (3rd line) escalation support and technical mentorship to the wider IT Helpdesk and System & Process teams.
Be part of the on-call rota supporting the business and employees.
Ensure all architectural designs comply with internal data security, GDPR DPO, and disaster recovery standards.
Work closely with Suppliers to deliver solutions to projects whilst maintaining a high-level of technical documentation.
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.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting edge of machine learning. You will work closely with a wide range of internal G Research teams, including Quant Researchers, Quant ML engineers and other engineering groups - as well as with external partners and experts. You will collaborate across disciplines on a broad set of initiatives to help G Research leverage the next generation of machine learning technologies. Past projects have included: Evaluating alternative accelerators for ML workloads Multi-node distributed training to understand trade offs in networking technology Optimising model inference to minimise latency or maximise throughput Understanding and optimising different storage technology to maximise bandwidth Evaluating the latest hardware and software in the machine learning ecosystem Liaising with vendors and providing constructive feedback on their products and roadmaps Who are we looking for? You will be comfortable working both independently and in small teams on a variety of engineering challenges, with a particular focus on machine learning and scientific computing. The ideal candidate will have the following skills and experience: A postgraduate degree in ML or a related field, or bringing commercial experience building ML models at scale (we will also consider exceptional candidates with demonstrable track record of success in online data science competitions, such as Kaggle) Strong object oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model inference expertise; you do not need to have all of the above A passion for the latest ML and HPC trends, with genuine curiosity and enthusiasm Excellent communication skills with the ability to work independently, engage with vendors, explore new technologies and present results effectively to stakeholder Choose the right level of abstraction, using quick one off scripts for proofs of concept or designing more complex systems when needed Finance experience is not necessary for this role and candidates from non financial backgrounds are encouraged to apply. Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 30 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
26/07/2026
Full time
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world class platform to amplify our teams' most powerful ideas. As part of our engineering team, you'll shape the platforms and tools that drive high impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting edge of machine learning. You will work closely with a wide range of internal G Research teams, including Quant Researchers, Quant ML engineers and other engineering groups - as well as with external partners and experts. You will collaborate across disciplines on a broad set of initiatives to help G Research leverage the next generation of machine learning technologies. Past projects have included: Evaluating alternative accelerators for ML workloads Multi-node distributed training to understand trade offs in networking technology Optimising model inference to minimise latency or maximise throughput Understanding and optimising different storage technology to maximise bandwidth Evaluating the latest hardware and software in the machine learning ecosystem Liaising with vendors and providing constructive feedback on their products and roadmaps Who are we looking for? You will be comfortable working both independently and in small teams on a variety of engineering challenges, with a particular focus on machine learning and scientific computing. The ideal candidate will have the following skills and experience: A postgraduate degree in ML or a related field, or bringing commercial experience building ML models at scale (we will also consider exceptional candidates with demonstrable track record of success in online data science competitions, such as Kaggle) Strong object oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model inference expertise; you do not need to have all of the above A passion for the latest ML and HPC trends, with genuine curiosity and enthusiasm Excellent communication skills with the ability to work independently, engage with vendors, explore new technologies and present results effectively to stakeholder Choose the right level of abstraction, using quick one off scripts for proofs of concept or designing more complex systems when needed Finance experience is not necessary for this role and candidates from non financial backgrounds are encouraged to apply. Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 30 days' annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle to work scheme Monthly company events G Research is committed to cultivating and preserving an inclusive work environment. We are an ideas driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision making, and user experience across business workflows. Build LLM/SLM powered applications including RAG based systems, summarization/extraction pipelines, chat/coplay experiences, and tool using agents. Engineer production grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non technical audiences. Strong problem solving skills and ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, and Skills Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code. Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems. Experience deploying solutions on AWS and cloud native environments; understanding of security fundamentals and operational excellence. Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation. Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices. Preferred Qualifications, Capabilities, and Skills Experience building agentic AI systems (multi step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM as judge, human in the loop review, red teaming). Experience fine tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. 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, 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.
26/07/2026
Full time
As a Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool using agents, evaluation, MLOps) and backend/service engineering (Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces is a plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision making, and user experience across business workflows. Build LLM/SLM powered applications including RAG based systems, summarization/extraction pipelines, chat/coplay experiences, and tool using agents. Engineer production grade services using Java and/or Python (REST/gRPC APIs, microservices, libraries), following secure coding and reliability best practices. Develop prompt strategies and prompt engineering assets (templates, routing, guardrails), and implement automated evaluation to improve quality over time. Build and maintain data pipelines and processing workflows required for ML/GenAI use cases using cloud services. Apply MLOps practices across the lifecycle: experimentation, versioning, CI/CD, deployment, monitoring, and maintenance for models/prompts/agents. Implement robust testing (unit/integration), performance benchmarking (latency/cost), and observability (logging/metrics/tracing) for AI services. Collaborate with cross functional stakeholders to define requirements, success metrics, and rollout plans; communicate complex topics clearly to technical and non technical audiences. Strong problem solving skills and ability to work effectively in ambiguous environments with multiple stakeholders. Required Qualifications, Capabilities, and Skills Undergrad or Master's degree (or equivalent practical experience) in Computer Science, Data Science, Machine Learning, or related field. Hands on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability to design maintainable architectures and write clean, testable code. Proficiency in Java and/or Python and experience building APIs/services and integrating with data sources and downstream systems. Experience deploying solutions on AWS and cloud native environments; understanding of security fundamentals and operational excellence. Experience with modern engineering practices: CI/CD, code reviews, unit testing (e.g., pytest/JUnit), and deployment automation. Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and production monitoring practices. Preferred Qualifications, Capabilities, and Skills Experience building agentic AI systems (multi step workflows, tool routing, planning, memory patterns, supervision/fallback strategies). Experience with AWS Bedrock and/or SageMaker (or equivalent managed ML/GenAI platforms) and deployment patterns for scalable inference. Experience with evaluation frameworks and approaches (golden datasets, LLM as judge, human in the loop review, red teaming). Experience fine tuning models (e.g., LoRA/QLoRA/DoRA) and/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g., DDP, sharding) and performance/cost optimization. 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, 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.
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. As a Cloud Security Engineer at Starling, you'll be building and supporting tooling and infrastructure that spans across AWS and GCP supporting our internal operations and interfacing with other teams to deliver the services that support our business. We are seeking an experienced Cloud Security Engineer who believes that great security is built, not just configured. At Starling, security is a fundamental engineering pillar, and we're looking for a practitioner who thinks like a developer. While we are looking for deep cloud expertise, we are also highly interested in candidates with strong programming skills and a background in software engineering who want to apply those talents to security. This is a hands-on role for a builder who excels at writing clean, scalable code to automate away manual gates. You will work across AWS and GCP, developing the internal tools, guardrails, and services that empower our engineering teams to ship securely without sacrificing speed. Key Responsibilities Engineer Secure Foundations : You will lead the design and implementation of critical security services, with a heavy focus on building robust Identity and Access Management (IAM) systems and automated, API-driven certificate management workflows. Security-as-Code & Scalability : Leveraging a software-first philosophy, you will develop and maintain high-quality, scalable security tooling and middleware within ECS and Kubernetes environments, ensuring security logic is integrated directly into the deployment pipeline. Collaborative Code Ownership : You will serve as a technical authority in cross-functional code reviews , acting as an engineering peer who helps teams bake security into their services from the first line of code to the final pull request. Proactive System Hardening : You will stay ahead of the evolving threat landscape by treating security as a continuous engineering challenge-proactively identifying vulnerabilities and architecting technical solutions to fortify our global ecosystem. Professional Requirements Demonstrated ability to architect secure, distributed systems with a focus on programmatic IAM and automated, API-driven PKI management . Extensive experience with Infrastructure as Code (IaC) in Terraform and a deep commitment to writing clean, maintainable, and production-grade code -ideally in Golang . A test-first mentality toward security, with experience building unit and integration tests into CI/CD pipelines to ensure that security guardrails are as reliable as the features they protect. A strong conceptual grasp of cryptographic primitives and hands-on experience securing containerized workloads and service meshes within ECS and Kubernetes . A track record of taking end-to-end ownership of complex technical projects, from initial design docs and RFCs through to deployment and observability. A belief that if it isn't tested, it's broken , and a drive to proactively identify and fix vulnerabilities by treating security as a continuous engineering challenge. Our Team Philosophy The Security Engineering team is a diverse and dynamic group passionate about building secure and resilient systems. We're enthusiastic about security, but we're not about rigid, one-size-fits-all controls. We believe in striking a balance between protecting our systems and empowering our developers to build and innovate. Our goal is to make security a seamless part of the development lifecycle, not a roadblock. If you are someone who thrives in a collaborative environment and is excited about finding innovative security solutions, we would love to hear from you. Our process: Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial phone call - 45 minutes Take home technical test to be discussed in the technical interview - 3 hours Technical interview - 1.5 hours Final Interview - 40 minutes 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us: You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
26/07/2026
Full time
Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Engineering Environment Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for engineers at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. As a Cloud Security Engineer at Starling, you'll be building and supporting tooling and infrastructure that spans across AWS and GCP supporting our internal operations and interfacing with other teams to deliver the services that support our business. We are seeking an experienced Cloud Security Engineer who believes that great security is built, not just configured. At Starling, security is a fundamental engineering pillar, and we're looking for a practitioner who thinks like a developer. While we are looking for deep cloud expertise, we are also highly interested in candidates with strong programming skills and a background in software engineering who want to apply those talents to security. This is a hands-on role for a builder who excels at writing clean, scalable code to automate away manual gates. You will work across AWS and GCP, developing the internal tools, guardrails, and services that empower our engineering teams to ship securely without sacrificing speed. Key Responsibilities Engineer Secure Foundations : You will lead the design and implementation of critical security services, with a heavy focus on building robust Identity and Access Management (IAM) systems and automated, API-driven certificate management workflows. Security-as-Code & Scalability : Leveraging a software-first philosophy, you will develop and maintain high-quality, scalable security tooling and middleware within ECS and Kubernetes environments, ensuring security logic is integrated directly into the deployment pipeline. Collaborative Code Ownership : You will serve as a technical authority in cross-functional code reviews , acting as an engineering peer who helps teams bake security into their services from the first line of code to the final pull request. Proactive System Hardening : You will stay ahead of the evolving threat landscape by treating security as a continuous engineering challenge-proactively identifying vulnerabilities and architecting technical solutions to fortify our global ecosystem. Professional Requirements Demonstrated ability to architect secure, distributed systems with a focus on programmatic IAM and automated, API-driven PKI management . Extensive experience with Infrastructure as Code (IaC) in Terraform and a deep commitment to writing clean, maintainable, and production-grade code -ideally in Golang . A test-first mentality toward security, with experience building unit and integration tests into CI/CD pipelines to ensure that security guardrails are as reliable as the features they protect. A strong conceptual grasp of cryptographic primitives and hands-on experience securing containerized workloads and service meshes within ECS and Kubernetes . A track record of taking end-to-end ownership of complex technical projects, from initial design docs and RFCs through to deployment and observability. A belief that if it isn't tested, it's broken , and a drive to proactively identify and fix vulnerabilities by treating security as a continuous engineering challenge. Our Team Philosophy The Security Engineering team is a diverse and dynamic group passionate about building secure and resilient systems. We're enthusiastic about security, but we're not about rigid, one-size-fits-all controls. We believe in striking a balance between protecting our systems and empowering our developers to build and innovate. Our goal is to make security a seamless part of the development lifecycle, not a roadblock. If you are someone who thrives in a collaborative environment and is excited about finding innovative security solutions, we would love to hear from you. Our process: Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial phone call - 45 minutes Take home technical test to be discussed in the technical interview - 3 hours Technical interview - 1.5 hours Final Interview - 40 minutes 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us: You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
26/07/2026
Full time
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
About the job As a member of the AI model team, you will drive innovation in architecture development for cutting edge models of various scales, including small, large, and multi modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi Modal architectures, a strong grasp of pre training optimization, and a hands on, research driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre training bottlenecks to push the limits of cross modal AI performance. Responsibilities Large Scale Pre Training: Conduct foundational pre training for LLMs and Multi Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi nodes and thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross modal alignment layers to enhance model intelligence and multi modal understanding. Data Strategy: Source, filter, and curate massive scale textual and multi modal datasets, establishing robust data pipelines for efficient pre training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. Qualifications A degree in Computer Science or related field. Ideally a PhD in NLP, Machine Learning, or a related field, with a solid track record in AI R&D and publications in A conferences. Hands on experience contributing to large scale LLM or Multi Modal pre training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large scale, distributed training frameworks, libraries, and tools. Deep knowledge of state of the art transformer and non transformer modifications aimed at enhancing intelligence, efficiency, and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pre training, and deployment.
26/07/2026
Full time
About the job As a member of the AI model team, you will drive innovation in architecture development for cutting edge models of various scales, including small, large, and multi modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi Modal architectures, a strong grasp of pre training optimization, and a hands on, research driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre training bottlenecks to push the limits of cross modal AI performance. Responsibilities Large Scale Pre Training: Conduct foundational pre training for LLMs and Multi Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi nodes and thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross modal alignment layers to enhance model intelligence and multi modal understanding. Data Strategy: Source, filter, and curate massive scale textual and multi modal datasets, establishing robust data pipelines for efficient pre training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. Qualifications A degree in Computer Science or related field. Ideally a PhD in NLP, Machine Learning, or a related field, with a solid track record in AI R&D and publications in A conferences. Hands on experience contributing to large scale LLM or Multi Modal pre training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large scale, distributed training frameworks, libraries, and tools. Deep knowledge of state of the art transformer and non transformer modifications aimed at enhancing intelligence, efficiency, and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pre training, and deployment.
IT Operations Platforms and Security Lead This role requires excellent management of a small team in IT along with managing stakeholders and vendors. You must be hands on technically in IT Infrastructure. The IT Operational Platform and Security Lead is responsible for overseeing the organisation's IT operations, ensuring the stability, continuity, security, and efficiency of its technology platforms within a global commercial insurance environment. While Microsoft technologies (Microsoft 365, Azure, Exchange Online) form a core part of the infrastructure, the role also encompasses broader enterprise IT systems, multi layered networking, security, data management, and third party platforms that support global business operations and the associated applications estate. The role requires a proactive leader who can drive IT operational excellence, manage security risks, focus on continual service improvement, drive transformational delivery projects, and work effectively with internal stakeholders and third party vendors to deliver a high quality Global IT services. Working in line with the Architecture defined IT principle of a 'buy before build' environment, the individual will need to ensure that outsourced and cloud based services are robust, cost effective, and aligned with business needs and the Strategic IT vision. They will also play a key role in enhancing cybersecurity, protecting data and systems, driving transformative operational change, enhancing IT processes and ensuring compliance with governance bodies and industry regulations. Due to the nature of the role, complexity Security, Compliance & Risk Management Define and enforce cloud security policies, identity management, and access controls to protect systems, networks, and data. Oversee the adoption of zero trust security principles to enhance protection across cloud platforms. Manage identity and access management (IAM) in a cloud first environment, including Azure AD, MFA, Conditional Access, SSO, and Privileged Access Management (PAM). Lead threat monitoring, detection, and response using cloud native security solutions such as Microsoft Defender, Sentinel, and SIEM platforms. Ensure compliance with cloud security frameworks and regulatory requirements (ISO 27001, NIST, GDPR, SOC2, FCA). Conduct regular security risk assessments, penetration tests, and vulnerability management across cloud services. Oversee endpoint security, cloud network and API security for robust protection across all assets. Define, manage and maintain accurate DR and BCP plans for the infrastructure area with biannual tests. Technical Experience Microsoft Azure Infrastructure design and administration, including topology, Azure networking, services, and component knowledge. Microsoft AD (Entra), Server and SQL experience. O365 administration and design. Global Software Patching and estate management via Intune. Firewall (Azure, CheckPoint and Cloudflare), DNS, VPN, WIFI and Local Area Network design & administration experience. Software Defined Networking (Cisco, Meraki, Versa). Key Skills Microsoft 365 & Azure: Strong experience managing Microsoft 365 (Exchange, SharePoint, Teams), Azure cloud infrastructure, and security tools such as Microsoft Defender and Sentinel. Security & Compliance: Deep knowledge of security frameworks (ISO 27001, NIST, CIS), compliance requirements (GDPR, SOC2), and risk management best practices. Identity & Access Management (IAM): Expertise in Azure AD, MFA, Conditional Access, Single Sign On (SSO), and Privileged Access Management (PAM). Threat Management & Incident Response: Ability to detect, respond to, and mitigate cyber threats using SIEM, endpoint security, and vulnerability management tools. Networking & Infrastructure Security: Understanding of firewalls, VPNs, SD WAN, DNS security, endpoint protection, and cloud security controls. IT Service Management & Automation: Experience implementing ITIL based service management, automating operational tasks, and optimising service delivery. IT Operations & Service Continuity: Ability to ensure IT systems are highly available, resilient, and fit for purpose, with a strong focus on business continuity and disaster recovery. Supplier & Vendor Management: Experience managing third party IT vendors, MSPs, and SaaS providers, ensuring service levels, performance, and cost effectiveness. Project Leadership & Change Management: Ability to lead technology projects, system upgrades, and platform migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Problem Solving & Decision Making: Capable of making informed decisions and resolving complex IT issues in a fast paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non technical stakeholders, including senior leadership and business users. Resilience & Adaptability: Comfortable working in an evolving technology landscape, with a proactive and security first approach. Summary of Skills Required: Global Enterprise level Infrastructure Management position for the last 5 years. Global team management (human resources, strategic delivery, operational service, audit lead for Infra, budget ). Key - 3rd party operational infrastructure vendor management - i.e management of managed service partners. Migration of Legacy VM based estates to SaaS and Cloud services platforms. Legacy tech to Azure knowledge/experience. Prior to the last 5 years, a technical infrastructure engineering level background, working on Windows Server, AD , SQL environments, Firewalls/SDWAN, and Networks (WAN &/or LAN). The Client is based in the City of London. This is a hybrid position with 3 days in the office. The salary for this role will be in the range £85K - £100K plus Benefits. Do send your CV to us in Word format along with your salary and notice period.
26/07/2026
Full time
IT Operations Platforms and Security Lead This role requires excellent management of a small team in IT along with managing stakeholders and vendors. You must be hands on technically in IT Infrastructure. The IT Operational Platform and Security Lead is responsible for overseeing the organisation's IT operations, ensuring the stability, continuity, security, and efficiency of its technology platforms within a global commercial insurance environment. While Microsoft technologies (Microsoft 365, Azure, Exchange Online) form a core part of the infrastructure, the role also encompasses broader enterprise IT systems, multi layered networking, security, data management, and third party platforms that support global business operations and the associated applications estate. The role requires a proactive leader who can drive IT operational excellence, manage security risks, focus on continual service improvement, drive transformational delivery projects, and work effectively with internal stakeholders and third party vendors to deliver a high quality Global IT services. Working in line with the Architecture defined IT principle of a 'buy before build' environment, the individual will need to ensure that outsourced and cloud based services are robust, cost effective, and aligned with business needs and the Strategic IT vision. They will also play a key role in enhancing cybersecurity, protecting data and systems, driving transformative operational change, enhancing IT processes and ensuring compliance with governance bodies and industry regulations. Due to the nature of the role, complexity Security, Compliance & Risk Management Define and enforce cloud security policies, identity management, and access controls to protect systems, networks, and data. Oversee the adoption of zero trust security principles to enhance protection across cloud platforms. Manage identity and access management (IAM) in a cloud first environment, including Azure AD, MFA, Conditional Access, SSO, and Privileged Access Management (PAM). Lead threat monitoring, detection, and response using cloud native security solutions such as Microsoft Defender, Sentinel, and SIEM platforms. Ensure compliance with cloud security frameworks and regulatory requirements (ISO 27001, NIST, GDPR, SOC2, FCA). Conduct regular security risk assessments, penetration tests, and vulnerability management across cloud services. Oversee endpoint security, cloud network and API security for robust protection across all assets. Define, manage and maintain accurate DR and BCP plans for the infrastructure area with biannual tests. Technical Experience Microsoft Azure Infrastructure design and administration, including topology, Azure networking, services, and component knowledge. Microsoft AD (Entra), Server and SQL experience. O365 administration and design. Global Software Patching and estate management via Intune. Firewall (Azure, CheckPoint and Cloudflare), DNS, VPN, WIFI and Local Area Network design & administration experience. Software Defined Networking (Cisco, Meraki, Versa). Key Skills Microsoft 365 & Azure: Strong experience managing Microsoft 365 (Exchange, SharePoint, Teams), Azure cloud infrastructure, and security tools such as Microsoft Defender and Sentinel. Security & Compliance: Deep knowledge of security frameworks (ISO 27001, NIST, CIS), compliance requirements (GDPR, SOC2), and risk management best practices. Identity & Access Management (IAM): Expertise in Azure AD, MFA, Conditional Access, Single Sign On (SSO), and Privileged Access Management (PAM). Threat Management & Incident Response: Ability to detect, respond to, and mitigate cyber threats using SIEM, endpoint security, and vulnerability management tools. Networking & Infrastructure Security: Understanding of firewalls, VPNs, SD WAN, DNS security, endpoint protection, and cloud security controls. IT Service Management & Automation: Experience implementing ITIL based service management, automating operational tasks, and optimising service delivery. IT Operations & Service Continuity: Ability to ensure IT systems are highly available, resilient, and fit for purpose, with a strong focus on business continuity and disaster recovery. Supplier & Vendor Management: Experience managing third party IT vendors, MSPs, and SaaS providers, ensuring service levels, performance, and cost effectiveness. Project Leadership & Change Management: Ability to lead technology projects, system upgrades, and platform migrations, ensuring smooth execution and minimal business disruption. Process Improvement & Automation: Strong analytical mindset to identify inefficiencies, automate workflows, and enhance security controls. Problem Solving & Decision Making: Capable of making informed decisions and resolving complex IT issues in a fast paced environment. Stakeholder Engagement: Ability to communicate effectively with technical and non technical stakeholders, including senior leadership and business users. Resilience & Adaptability: Comfortable working in an evolving technology landscape, with a proactive and security first approach. Summary of Skills Required: Global Enterprise level Infrastructure Management position for the last 5 years. Global team management (human resources, strategic delivery, operational service, audit lead for Infra, budget ). Key - 3rd party operational infrastructure vendor management - i.e management of managed service partners. Migration of Legacy VM based estates to SaaS and Cloud services platforms. Legacy tech to Azure knowledge/experience. Prior to the last 5 years, a technical infrastructure engineering level background, working on Windows Server, AD , SQL environments, Firewalls/SDWAN, and Networks (WAN &/or LAN). The Client is based in the City of London. This is a hybrid position with 3 days in the office. The salary for this role will be in the range £85K - £100K plus Benefits. Do send your CV to us in Word format along with your salary and notice period.
Multiverse Computing Multiverse Computing is a fast growing deep tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting edge AI and quantum technologies. Why join us? We are a European deep tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI powered solutions. Key requirements Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: English Preferred Qualifications Experience with Computer Vision models, Speech models, Vision Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands on experience designing RAG pipelines and/or multi agent systems. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. Location Applicants must have legal authorization to work in the country where the position is based. Perks & Benefits Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
26/07/2026
Full time
Multiverse Computing Multiverse Computing is a fast growing deep tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting edge AI and quantum technologies. Why join us? We are a European deep tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI powered solutions. Key requirements Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: English Preferred Qualifications Experience with Computer Vision models, Speech models, Vision Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands on experience designing RAG pipelines and/or multi agent systems. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. Location Applicants must have legal authorization to work in the country where the position is based. Perks & Benefits Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
2833 - IT Solutions Architect (Contract/Permanent) Reference: 2833 Posted on 25 June 2026 We are seeking experienced IT Solutions Architects to provide architectural leadership across a major programme of work. You will be responsible for ensuring all programme projects are robust, compliant, and aligned to enterprise strategy, delivering long-term value and supporting the organisation's digital roadmap. Operating at programme level, you will act as the key interface between delivery teams and Enterprise Architecture, ensuring consistency, governance and alignment across multiple interdependent initiatives. We are particularly looking for architects who can bring a mix of domain expertise across key enterprise platforms, applications, and technology areas. Location: Glasgow, Perth, Aberdeen or Inverness (50/50 hybrid working - location can be chosen by the candidate based on the site that is most convenient) Contract Type: Contract or Permanent considered What you'll do Ensure consistency in design patterns, integration strategy and technology selection Act as the primary interface between programme delivery and Enterprise Architecture (EA) Support delivery teams in designing scalable, secure and supportable solutions Architecture Governance & Assurance Establish and embed architectural governance across forums such as: Design Authority Solution Assurance forums Review and assure vendor-produced architecture artefacts Conduct architecture reviews at key stages (discovery, design, delivery) Ensure solutions align to enterprise standards and guardrails, and technology roadmaps Group and domain strategy Facilitate governance checkpoints and manage architecture escalations / waivers Maintain awareness of evolving enterprise standards and innovations Solution Design & Delivery Assurance Validate that solutions: Meet business objectives Integrate effectively with existing platforms Comply with data, security and interoperability standards Ensure effective use of enterprise platforms, shared services and integration frameworks Governance & Documentation Produce and maintain high-quality architecture artefacts including: Solution Architecture Documents (SADs) High level and detailed designs Architecture decision logs Integration/interface specifications Roadmaps and impact assessments Support programme teams in securing timely approvals through governance Work closely with: Programme leadership, PMs and SMEs Enterprise Architecture, Security, Data and Infrastructure teams Third party vendors across design, procurement and delivery Lead vendor assurance across architecture design and integration What to bring Key Technology & Domain Experience (Highly Desirable) We are seeking architects with a blend of expertise across the following domains, with the expectation that the overall team will cover multiple areas: Microsoft Dynamics 365 PowerFactory System performance tools (e.g. PI) Sustainability applications / energy systems Customer websites and digital platforms Infrastructure (including cloud and virtual desktop environments) ESRI ArcGIS (including web and mobile applications) Core Experience Demonstrable experience as a Solutions Architect within large scale programmes Strong background working across multiple concurrent projects / portfolios Experience operating within a structured Enterprise Architecture / governance environment Proven ability to lead architecture assurance and design across complex ecosystems Strong stakeholder engagement skills, including senior business and technical leadership Technical & Architectural Expertise Strong experience in enterprise application design and integration Exposure to cloud platforms and infrastructure architecture Experience developing secure, scalable, and supportable solutions Knowledge of data, security and integration architectures Experience working with and assuring third party vendors and system integrators Involvement in RFPs, design assurance, and delivery oversight Methods & Governance, strong understanding of: Architecture standards and frameworks Governance processes and stage gates Agile and Waterfall delivery models What You'll Get in Return For employees, we're committed to recognising and rewarding hard work. Our competitive salary and benefits package includes; Company Pension Scheme, Private Medical & Dental Insurance, Group Income Protection, Group Life Assurance, Cycle to Work and Electric Car Salary Sacrifice Scheme. We also invest in your development. If you choose to self study in your own time, we'll fund your study materials and exam fees - and once you pass, you'll receive an incentive bonus. We're committed to creating an inclusive and accessible recruitment process. If you have any access needs or require adjustments at any stage of the application or assessment process, please let us know - we're happy to support you. Please note: All offers of employment will be subject to background checks and confirmation of the right to work in the UK.
26/07/2026
Full time
2833 - IT Solutions Architect (Contract/Permanent) Reference: 2833 Posted on 25 June 2026 We are seeking experienced IT Solutions Architects to provide architectural leadership across a major programme of work. You will be responsible for ensuring all programme projects are robust, compliant, and aligned to enterprise strategy, delivering long-term value and supporting the organisation's digital roadmap. Operating at programme level, you will act as the key interface between delivery teams and Enterprise Architecture, ensuring consistency, governance and alignment across multiple interdependent initiatives. We are particularly looking for architects who can bring a mix of domain expertise across key enterprise platforms, applications, and technology areas. Location: Glasgow, Perth, Aberdeen or Inverness (50/50 hybrid working - location can be chosen by the candidate based on the site that is most convenient) Contract Type: Contract or Permanent considered What you'll do Ensure consistency in design patterns, integration strategy and technology selection Act as the primary interface between programme delivery and Enterprise Architecture (EA) Support delivery teams in designing scalable, secure and supportable solutions Architecture Governance & Assurance Establish and embed architectural governance across forums such as: Design Authority Solution Assurance forums Review and assure vendor-produced architecture artefacts Conduct architecture reviews at key stages (discovery, design, delivery) Ensure solutions align to enterprise standards and guardrails, and technology roadmaps Group and domain strategy Facilitate governance checkpoints and manage architecture escalations / waivers Maintain awareness of evolving enterprise standards and innovations Solution Design & Delivery Assurance Validate that solutions: Meet business objectives Integrate effectively with existing platforms Comply with data, security and interoperability standards Ensure effective use of enterprise platforms, shared services and integration frameworks Governance & Documentation Produce and maintain high-quality architecture artefacts including: Solution Architecture Documents (SADs) High level and detailed designs Architecture decision logs Integration/interface specifications Roadmaps and impact assessments Support programme teams in securing timely approvals through governance Work closely with: Programme leadership, PMs and SMEs Enterprise Architecture, Security, Data and Infrastructure teams Third party vendors across design, procurement and delivery Lead vendor assurance across architecture design and integration What to bring Key Technology & Domain Experience (Highly Desirable) We are seeking architects with a blend of expertise across the following domains, with the expectation that the overall team will cover multiple areas: Microsoft Dynamics 365 PowerFactory System performance tools (e.g. PI) Sustainability applications / energy systems Customer websites and digital platforms Infrastructure (including cloud and virtual desktop environments) ESRI ArcGIS (including web and mobile applications) Core Experience Demonstrable experience as a Solutions Architect within large scale programmes Strong background working across multiple concurrent projects / portfolios Experience operating within a structured Enterprise Architecture / governance environment Proven ability to lead architecture assurance and design across complex ecosystems Strong stakeholder engagement skills, including senior business and technical leadership Technical & Architectural Expertise Strong experience in enterprise application design and integration Exposure to cloud platforms and infrastructure architecture Experience developing secure, scalable, and supportable solutions Knowledge of data, security and integration architectures Experience working with and assuring third party vendors and system integrators Involvement in RFPs, design assurance, and delivery oversight Methods & Governance, strong understanding of: Architecture standards and frameworks Governance processes and stage gates Agile and Waterfall delivery models What You'll Get in Return For employees, we're committed to recognising and rewarding hard work. Our competitive salary and benefits package includes; Company Pension Scheme, Private Medical & Dental Insurance, Group Income Protection, Group Life Assurance, Cycle to Work and Electric Car Salary Sacrifice Scheme. We also invest in your development. If you choose to self study in your own time, we'll fund your study materials and exam fees - and once you pass, you'll receive an incentive bonus. We're committed to creating an inclusive and accessible recruitment process. If you have any access needs or require adjustments at any stage of the application or assessment process, please let us know - we're happy to support you. Please note: All offers of employment will be subject to background checks and confirmation of the right to work in the UK.
About Us Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? The Team Our Supply Chain Management Team supports the world's most recognizable brands to design and implement a future ready operating model for supply chains that balance between Cost, Speed and Service. We enable business growth through building supply chain resilience and agility from visibility to orchestration to settlement, shifting focus from cost to high value work that transforms customer experience. Our goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technology i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team and operating from various locations in Europe, North America, and India. We focus on consulting services around the topics of Customer Centricity, Procurement Experience, Supply Chain Planning, Smart Operations and Agile Logistics. The Role Work on end-to-end Supply Chain Planning Digital Transformation Programs - from process template definition to implementation Participate in project delivery throughout Design, Development, Testing, Training and Hypercare Participate in workshops with business to understand the business requirements, Solution Architecture and design efficient supply chain processes within SAP IBP Participate in the implementation and customization of SAP IBP modules to meet business requirements Work with the team to help in key user training, support to end-users on SAP IBP usage, best practices and troubleshooting techniques Work with the team to provide technical issues resolution, maintain knowledge management repository and test suite optimization post go-live Collaborate with IT team and cross-functional teams to address technical issues and ensure the stability and uptime of SAP IBP system. Participate in initiatives between SAP IBP and other enterprise systems to streamline data flow Excellent communication, interpersonal skills and understand business terminologies/processes At least 8-10 years of experience in supply chain planning projects with a focus on SAP IBP implementation. Life cycle implementation experience on any module of SAP IBP like Demand, Supply & Response, Inventory and S&OP If worked on only on support of SAP IBP, then minimum 5 years of SAP IBP support experience. Proficiency in SAP IBP modules such as Demand Planning, Supply Planning, Inventory Optimization, S&OP, Control Tower Technical knowledge in solution designing, technical integration and development activities required for SAP IBP modules Earlier experience on any module of SAP APO and integration methodologies is added advantage. Certification in SAP IBP is a plus. Willing to travel to client location for important workshops and training sessions. Have excellent interpersonal skills and strong written and verbal communication skills in English. Strong analytical and problem-solving skills Have a broad business skill set including stakeholder management, problem-solving, and resilience Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences
26/07/2026
Full time
About Us Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? The Team Our Supply Chain Management Team supports the world's most recognizable brands to design and implement a future ready operating model for supply chains that balance between Cost, Speed and Service. We enable business growth through building supply chain resilience and agility from visibility to orchestration to settlement, shifting focus from cost to high value work that transforms customer experience. Our goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technology i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team and operating from various locations in Europe, North America, and India. We focus on consulting services around the topics of Customer Centricity, Procurement Experience, Supply Chain Planning, Smart Operations and Agile Logistics. The Role Work on end-to-end Supply Chain Planning Digital Transformation Programs - from process template definition to implementation Participate in project delivery throughout Design, Development, Testing, Training and Hypercare Participate in workshops with business to understand the business requirements, Solution Architecture and design efficient supply chain processes within SAP IBP Participate in the implementation and customization of SAP IBP modules to meet business requirements Work with the team to help in key user training, support to end-users on SAP IBP usage, best practices and troubleshooting techniques Work with the team to provide technical issues resolution, maintain knowledge management repository and test suite optimization post go-live Collaborate with IT team and cross-functional teams to address technical issues and ensure the stability and uptime of SAP IBP system. Participate in initiatives between SAP IBP and other enterprise systems to streamline data flow Excellent communication, interpersonal skills and understand business terminologies/processes At least 8-10 years of experience in supply chain planning projects with a focus on SAP IBP implementation. Life cycle implementation experience on any module of SAP IBP like Demand, Supply & Response, Inventory and S&OP If worked on only on support of SAP IBP, then minimum 5 years of SAP IBP support experience. Proficiency in SAP IBP modules such as Demand Planning, Supply Planning, Inventory Optimization, S&OP, Control Tower Technical knowledge in solution designing, technical integration and development activities required for SAP IBP modules Earlier experience on any module of SAP APO and integration methodologies is added advantage. Certification in SAP IBP is a plus. Willing to travel to client location for important workshops and training sessions. Have excellent interpersonal skills and strong written and verbal communication skills in English. Strong analytical and problem-solving skills Have a broad business skill set including stakeholder management, problem-solving, and resilience Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences
The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross functional teams to execute on long term technical investments. What You'll Do Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability Improve infrastructure supporting AI and LLM enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems Develop reliable and cost efficient systems for high throughput content processing and real time intelligence use cases Collaborate across organizational boundaries to drive alignment, technical quality, and long term platform investments Mentor engineers and contribute to raising the engineering bar across the organization Who You Are You have extensive experience building and scaling large scale backend and infrastructure systems in distributed environments You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively You have strong programming experience in Java, Python, and/or Scala You understand the challenges of building systems that process high volume multimedia or real time workloads You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade offs of these technologies. You are comfortable operating in ambiguous, fast moving environments and helping shape technical direction from the ground up You communicate effectively across engineering, product, and leadership stakeholders You have experience leading complex technical initiatives that span multiple teams or organizational areas You care deeply about collaboration, mentorship, and creating alignment across teams Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus Experience working in startup environments or early stage product areas where ownership and adaptability are critical is highly valued Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. ML Infrastructure, Distributed Systems, Java, Python, Scala, LLMs
26/07/2026
Full time
The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross functional teams to execute on long term technical investments. What You'll Do Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability Improve infrastructure supporting AI and LLM enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems Develop reliable and cost efficient systems for high throughput content processing and real time intelligence use cases Collaborate across organizational boundaries to drive alignment, technical quality, and long term platform investments Mentor engineers and contribute to raising the engineering bar across the organization Who You Are You have extensive experience building and scaling large scale backend and infrastructure systems in distributed environments You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively You have strong programming experience in Java, Python, and/or Scala You understand the challenges of building systems that process high volume multimedia or real time workloads You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade offs of these technologies. You are comfortable operating in ambiguous, fast moving environments and helping shape technical direction from the ground up You communicate effectively across engineering, product, and leadership stakeholders You have experience leading complex technical initiatives that span multiple teams or organizational areas You care deeply about collaboration, mentorship, and creating alignment across teams Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus Experience working in startup environments or early stage product areas where ownership and adaptability are critical is highly valued Where You'll Be This role is based in London or Stockholm We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. ML Infrastructure, Distributed Systems, Java, Python, Scala, LLMs
As a Senior Architect within Expedia B2B, you will shape the technical direction of our platform, bridging complex business challenges with scalable, forward thinking solutions. You will partner across engineering and product teams to guide decisions that directly drive outcomes for our global B2B partners. In this role, you will: Lead complex, cross functional technical projects and drive architectural design end to end, ensuring alignment with the North Star vision. Establish technical approaches, define common patterns and standards, and guide integrations across teams within the business unit. Apply systems thinking across organizational boundaries, analyzing issues holistically and making recommendations on policies and processes to improve efficiency. Facilitate collaboration among diverse stakeholders with varied perspectives to develop effective solutions to technical and business challenges. Partner with business stakeholders to develop a clear understanding of how your technology stack connects to business outcomes and the bottom line. Lead a community of practice, bringing people together for shared learning and fostering knowledge exchange across engineering teams. Mentor and support junior architects, developers, and engineers, sharing domain and industry expertise to accelerate their growth. Report on the status of complex, high impact initiatives to technical and business stakeholders through written and verbal communication. Drive digital strategy decisions and provide digital business model consulting within IT teams. Recognize opportunities to step into peer engineering management responsibilities as the need arises. Experience and Qualifications: Bachelor's degree in computer science, engineering, or a related technical field; or equivalent professional experience. 8+ years of professional experience in software architecture or a related engineering discipline (with a bachelor's degree), or 6+ years (with a master's degree). Experience leading technical design end to end across multiple projects, with a demonstrated ability to justify technology choices to both technical and non technical audiences. Experience working in decentralized, cross functional teams across at least two multi quarter projects. Formal experience mentoring at least three individuals. Proficiency in multiple technologies or programming languages, with deep expertise in at least one technical domain. Strong understanding of how complex systems interact, including integration and communication patterns across applications, databases, and technology platforms. Demonstrated ability to define and communicate technology standards and patterns across an organization. Preferred: Master's degree in computer science, engineering, or a related technical field; or equivalent professional experience. Active contributions to the broader engineering community, such as blog posts, open source contributions, tech talks, or conference presentations. Experience connecting technology decisions to lines of business outcomes and broader organizational goals. Familiarity with enterprise integration patterns and architectural governance frameworks. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
26/07/2026
Full time
As a Senior Architect within Expedia B2B, you will shape the technical direction of our platform, bridging complex business challenges with scalable, forward thinking solutions. You will partner across engineering and product teams to guide decisions that directly drive outcomes for our global B2B partners. In this role, you will: Lead complex, cross functional technical projects and drive architectural design end to end, ensuring alignment with the North Star vision. Establish technical approaches, define common patterns and standards, and guide integrations across teams within the business unit. Apply systems thinking across organizational boundaries, analyzing issues holistically and making recommendations on policies and processes to improve efficiency. Facilitate collaboration among diverse stakeholders with varied perspectives to develop effective solutions to technical and business challenges. Partner with business stakeholders to develop a clear understanding of how your technology stack connects to business outcomes and the bottom line. Lead a community of practice, bringing people together for shared learning and fostering knowledge exchange across engineering teams. Mentor and support junior architects, developers, and engineers, sharing domain and industry expertise to accelerate their growth. Report on the status of complex, high impact initiatives to technical and business stakeholders through written and verbal communication. Drive digital strategy decisions and provide digital business model consulting within IT teams. Recognize opportunities to step into peer engineering management responsibilities as the need arises. Experience and Qualifications: Bachelor's degree in computer science, engineering, or a related technical field; or equivalent professional experience. 8+ years of professional experience in software architecture or a related engineering discipline (with a bachelor's degree), or 6+ years (with a master's degree). Experience leading technical design end to end across multiple projects, with a demonstrated ability to justify technology choices to both technical and non technical audiences. Experience working in decentralized, cross functional teams across at least two multi quarter projects. Formal experience mentoring at least three individuals. Proficiency in multiple technologies or programming languages, with deep expertise in at least one technical domain. Strong understanding of how complex systems interact, including integration and communication patterns across applications, databases, and technology platforms. Demonstrated ability to define and communicate technology standards and patterns across an organization. Preferred: Master's degree in computer science, engineering, or a related technical field; or equivalent professional experience. Active contributions to the broader engineering community, such as blog posts, open source contributions, tech talks, or conference presentations. Experience connecting technology decisions to lines of business outcomes and broader organizational goals. Familiarity with enterprise integration patterns and architectural governance frameworks. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at Equal Opportunity Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Job Description Role: OT Cyber Security Senior Manager Level: Senior Manager Location: UK Salary: Competitive salary & package (dependent on experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. About the Role Accenture's Operational Technology Security practice protects critical infrastructure and industrial environments from cyber threats across diverse sectors: Energy, Utilities, Chemicals, Natural Resources, Manufacturing, Aerospace, and Defence. We are looking for an experienced OT Cyber Security Senior Manager to take ownership of complex security programmes, lead client engagements, and build our team's technical capability. You'll work with both Critical National Infrastructure clients and industrial organisations solving sophisticated OT security challenges. Reporting to the Head of OT Cyber Security, you'll operate UK-wide with hybrid arrangements (typically 2-3 days per month in our London office, with additional client site visits as needed). What You'll Do Client Delivery & Leadership Lead end-to-end delivery of OT security projects in regulated environments, managing timelines, budgets, and security standards. Act as primary point of contact for client stakeholders, building trust-based relationships and ensuring seamless execution. Conduct cybersecurity strategy assessments, readiness evaluations, and discovery workshops using industry frameworks and compliance mandates. Identify and articulate risks at project, business, and technical levels, delivering proportionate, cost-effective mitigation strategies. Technical Expertise Perform detailed analysis of Industrial Control Systems (SCADA, DCS, IIoT) architecture, identifying vulnerabilities and recommending improvements. Design and implement robust cybersecurity solutions tailored to IC environments. Develop IC security control frameworks incorporating industry best practices and international standards (NIST, ISO 27001, IEC 62443). Create key deliverables including threat and risk assessments, security policies, procedures, assurance management plans, and compliance evidence. Team Development & Growth Mentor Accenture team members through both line and matrix management, providing guidance, knowledge sharing, and skill building opportunities. Drive business development by identifying opportunities within existing accounts and building new client relationships. Contribute to Accenture's thought leadership in OT security through publications, presentations, and client engagements. What You'll Need Essential 10+ years of experience in OT/ICS cybersecurity or critical infrastructure security. Proven track record leading complex security programmes in regulated industrial environments. Deep understanding of Industrial Control Systems (SCADA, DCS, PLC, IIoT) and their unique security challenges. Strong familiarity with OT security regulations and frameworks (NIS, NIS2, CAF, CRA). Experience working with both technical teams (engineers, IT) and executive stakeholders. Excellent communication skills with ability to translate complex technical risks into business impact. Willingness to travel across the UK as projects require. Highly Valued Professional certifications: GICSP, IEC 62443, CISSP, GRID. Experience across multiple sectors: Energy, Utilities, Manufacturing, Aerospace, Defence, or Critical National Infrastructure. Knowledge of security standards including NERC CIP, IEC 62443, ISA/IEC 62443. Background in both advisory and hands on technical implementation. What We Offer Work on prestigious projects spanning critical national infrastructure, advanced manufacturing, and defence clients. Access to Accenture's global network of security experts and continuous learning opportunities. Hybrid working with flexibility around client and project needs. Career progression within a rapidly growing OT cyber security practice. Inclusive culture that values diverse thinking and boundaryless collaboration. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice. Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing Date for Applications: 30/04/2026 Locations London Birmingham Edinburgh Manchester Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
26/07/2026
Full time
Job Description Role: OT Cyber Security Senior Manager Level: Senior Manager Location: UK Salary: Competitive salary & package (dependent on experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. About the Role Accenture's Operational Technology Security practice protects critical infrastructure and industrial environments from cyber threats across diverse sectors: Energy, Utilities, Chemicals, Natural Resources, Manufacturing, Aerospace, and Defence. We are looking for an experienced OT Cyber Security Senior Manager to take ownership of complex security programmes, lead client engagements, and build our team's technical capability. You'll work with both Critical National Infrastructure clients and industrial organisations solving sophisticated OT security challenges. Reporting to the Head of OT Cyber Security, you'll operate UK-wide with hybrid arrangements (typically 2-3 days per month in our London office, with additional client site visits as needed). What You'll Do Client Delivery & Leadership Lead end-to-end delivery of OT security projects in regulated environments, managing timelines, budgets, and security standards. Act as primary point of contact for client stakeholders, building trust-based relationships and ensuring seamless execution. Conduct cybersecurity strategy assessments, readiness evaluations, and discovery workshops using industry frameworks and compliance mandates. Identify and articulate risks at project, business, and technical levels, delivering proportionate, cost-effective mitigation strategies. Technical Expertise Perform detailed analysis of Industrial Control Systems (SCADA, DCS, IIoT) architecture, identifying vulnerabilities and recommending improvements. Design and implement robust cybersecurity solutions tailored to IC environments. Develop IC security control frameworks incorporating industry best practices and international standards (NIST, ISO 27001, IEC 62443). Create key deliverables including threat and risk assessments, security policies, procedures, assurance management plans, and compliance evidence. Team Development & Growth Mentor Accenture team members through both line and matrix management, providing guidance, knowledge sharing, and skill building opportunities. Drive business development by identifying opportunities within existing accounts and building new client relationships. Contribute to Accenture's thought leadership in OT security through publications, presentations, and client engagements. What You'll Need Essential 10+ years of experience in OT/ICS cybersecurity or critical infrastructure security. Proven track record leading complex security programmes in regulated industrial environments. Deep understanding of Industrial Control Systems (SCADA, DCS, PLC, IIoT) and their unique security challenges. Strong familiarity with OT security regulations and frameworks (NIS, NIS2, CAF, CRA). Experience working with both technical teams (engineers, IT) and executive stakeholders. Excellent communication skills with ability to translate complex technical risks into business impact. Willingness to travel across the UK as projects require. Highly Valued Professional certifications: GICSP, IEC 62443, CISSP, GRID. Experience across multiple sectors: Energy, Utilities, Manufacturing, Aerospace, Defence, or Critical National Infrastructure. Knowledge of security standards including NERC CIP, IEC 62443, ISA/IEC 62443. Background in both advisory and hands on technical implementation. What We Offer Work on prestigious projects spanning critical national infrastructure, advanced manufacturing, and defence clients. Access to Accenture's global network of security experts and continuous learning opportunities. Hybrid working with flexibility around client and project needs. Career progression within a rapidly growing OT cyber security practice. Inclusive culture that values diverse thinking and boundaryless collaboration. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice. Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing Date for Applications: 30/04/2026 Locations London Birmingham Edinburgh Manchester Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.
26/07/2026
Full time
Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Automation Engineer (n8n Specialist) to design, build, and maintain the workflow automation systems that power our client's operations. This is a hands on engineering role focused on executing automation requirements within sprint cycles. You will work closely with the automation lead and operations team to develop n8n workflows, system integrations, and scalable automation pipelines that support client campaigns and internal processes. Key Responsibilities n8n Workflow Development Build, test, and deploy n8n workflows that automate operational processes such as lead enrichment, signal detection, outreach sequencing, reply routing, and reporting. Maintain and optimize existing workflows by improving error handling, logging, execution speed, and scalability. Design workflows that are modular and reusable across multiple clients rather than one-off builds. Troubleshoot production issues quickly, identify root causes, and implement safeguards to prevent recurring failures. Integration & Data Flows Build and maintain integrations between operational tools including Airtable, Clay, Slack, CRM systems, outreach platforms, and custom APIs. Manage data integrity across systems through field mapping, validation logic, deduplication, and error handling. Work with webhooks, REST APIs, authentication systems, and JSON data transformations. Sprint Execution & Team Collaboration Work within Airtable-managed sprint cycles to pull tasks from the backlog, estimate effort, and deliver automation projects on schedule. Participate in daily standups, sprint planning, and retrospectives. Communicate blockers early and collaborate closely with the automation lead and operations team. Document workflows, architecture decisions, and deployment processes to ensure maintainability. Quality & Reliability Thoroughly test workflows before deployment, including edge cases, rate limits, empty datasets, and error scenarios. Monitor production automations and proactively resolve issues before they impact operations. Maintain well organized automation environments with consistent naming conventions and credential management. Required Skills Extensive n8n automation experience in production environments, building complex workflows that support real business operations. Strong understanding of workflow execution design, error handling branches, webhook triggers, and sub workflow patterns. Proven experience working with REST APIs, webhooks, JSON transformations, and authentication methods such as OAuth and API keys. Proficiency with Airtable as both a data tool and project management system (views, linked records, formulas, automations). Experience working in agile or sprint based environments with standups, planning sessions, and retrospectives. Strong remote collaboration skills using tools such as Slack and project management platforms. Ability to produce clear technical documentation for workflows, architecture, and troubleshooting. Preferred (Bonus) Skills Development experience with JavaScript or Python for custom automation logic or helper scripts. Experience integrating automation workflows with AI or LLM APIs (e.g., OpenAI, Claude). Familiarity with outbound operations tools such as Clay, HeyReach, SmartLead, HubSpot, or similar CRM systems. Strong understanding of automation architecture and system design for scalable operations. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
26/07/2026
Full time
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Automation Engineer (n8n Specialist) to design, build, and maintain the workflow automation systems that power our client's operations. This is a hands on engineering role focused on executing automation requirements within sprint cycles. You will work closely with the automation lead and operations team to develop n8n workflows, system integrations, and scalable automation pipelines that support client campaigns and internal processes. Key Responsibilities n8n Workflow Development Build, test, and deploy n8n workflows that automate operational processes such as lead enrichment, signal detection, outreach sequencing, reply routing, and reporting. Maintain and optimize existing workflows by improving error handling, logging, execution speed, and scalability. Design workflows that are modular and reusable across multiple clients rather than one-off builds. Troubleshoot production issues quickly, identify root causes, and implement safeguards to prevent recurring failures. Integration & Data Flows Build and maintain integrations between operational tools including Airtable, Clay, Slack, CRM systems, outreach platforms, and custom APIs. Manage data integrity across systems through field mapping, validation logic, deduplication, and error handling. Work with webhooks, REST APIs, authentication systems, and JSON data transformations. Sprint Execution & Team Collaboration Work within Airtable-managed sprint cycles to pull tasks from the backlog, estimate effort, and deliver automation projects on schedule. Participate in daily standups, sprint planning, and retrospectives. Communicate blockers early and collaborate closely with the automation lead and operations team. Document workflows, architecture decisions, and deployment processes to ensure maintainability. Quality & Reliability Thoroughly test workflows before deployment, including edge cases, rate limits, empty datasets, and error scenarios. Monitor production automations and proactively resolve issues before they impact operations. Maintain well organized automation environments with consistent naming conventions and credential management. Required Skills Extensive n8n automation experience in production environments, building complex workflows that support real business operations. Strong understanding of workflow execution design, error handling branches, webhook triggers, and sub workflow patterns. Proven experience working with REST APIs, webhooks, JSON transformations, and authentication methods such as OAuth and API keys. Proficiency with Airtable as both a data tool and project management system (views, linked records, formulas, automations). Experience working in agile or sprint based environments with standups, planning sessions, and retrospectives. Strong remote collaboration skills using tools such as Slack and project management platforms. Ability to produce clear technical documentation for workflows, architecture, and troubleshooting. Preferred (Bonus) Skills Development experience with JavaScript or Python for custom automation logic or helper scripts. Experience integrating automation workflows with AI or LLM APIs (e.g., OpenAI, Claude). Familiarity with outbound operations tools such as Clay, HeyReach, SmartLead, HubSpot, or similar CRM systems. Strong understanding of automation architecture and system design for scalable operations. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.
26/07/2026
Full time
About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.
About Zip Zip is the AI platform for enterprise procurement - built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world's most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they've saved over $8 billion and processed over $500 billion in spend. Zip's team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups. Your Role This is a founding role. You will be the first Enterprise Architect on the ground in EMEA, standing up the function end-to-end: the playbooks, the reference architectures, the technical discovery motion, and the deal patterns that every future EA will inherit. You'll personally engage on our most strategic pursuits across the business - Fortune 500 and FTSE 100 prospects with SAP-dominant landscapes, complex multi-entity structures, and e-invoicing mandates that don't exist in other regions. You'll work directly with the Global SE leader and partner with Sales, Solution Engineering, Product, and Customer Success leaders. What you build here will shape how Zip sells and delivers across Europe for years. Please note this is a hybrid role out of our London office. What you'll do Win the deals that define the region: Act as the senior technical voice on strategic pursuits - leading discovery with customer CTOs, CIOs, and Chief Procurement Officers, and closing the architectural gap between their landscape and Zip. Build the EA function from zero to one: Create the foundational assets - customer system landscape templates, reference architectures, integration capability matrices, security & compliance packets, objection response libraries - and set the bar for how EA shows up in deals. Own the system integration narrative: Lead the technical story on how Zip integrates with SAP (ECC, S/4HANA, Ariba), Oracle, Workday, Netsuite, Coupa, and adjacent systems. You are responsible for translating the customer landscapes into credible integration plans using our proprietary middleware. Navigate EMEA-specific complexity: Guide customers through e-invoicing mandates (Peppol, France Chorus Pro, Italy SDI, Germany's B2B mandate), GDPR, DORA, and multi-entity/multi-currency rollouts. Bridge GTM and Product: Translate customer requirements into clear product inputs. Influence roadmap prioritization with evidence, not opinion. Enable the field: Coach Solution Engineers and Account Executives on technical positioning, objection handling, and executive-level architectural conversations. Qualifications 15+ years in solution architecture, enterprise architecture, pre-sales engineering, or product roles at B2B SaaS, iPaaS, or ERP / system-of-record vendors. Deep domain knowledge: Knowledgeable about the full intake-to-pay lifecycle and how data moves between systems Strong command of the ERP ecosystem: You understand APIs, data models, and integration patterns across SAP(Ariba, S/4HANA, ECC), Oracle, Workday, Coupa, Ivalua, Jaggaer, and others. Hands on fluency with integration architecture and middleware: iPaaS (MuleSoft, Boomi, Workato), REST APIs, event driven patterns, ETL. Proven success selling into or implementing at Fortune 500 / FTSE 100 customers across multiple EMEA geographies. TOGAF/Zachman/IBM Certified along with EA. Track record of owning RFPs, security reviews, and PoCs at enterprise scale. Comfort operating as the senior technical voice in a room with CIOs, CFOs, and CPOs. Nice to have Experience standing up a function, team, or regional practice from the ground up. Working knowledge of EMEA e invoicing mandates and regulatory regimes (GDPR, DORA) Experience at a category defining, high growth SaaS company or Big 4 Consulting Experience. Multilingual - French, German, or Spanish a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Health, vision & dental coverage Catered lunches & dinners for in office employees Commuter benefit Team building events & happy hours Unlimited PTO Apple equipment plus home office stipend 5% Employer Pension Contribution Travel This role requires approximately 30% travel across EMEA to meet with strategic prospects, customers, and partners, and to join key industry events. We're looking to hire Zippers and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
25/07/2026
Full time
About Zip Zip is the AI platform for enterprise procurement - built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world's most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they've saved over $8 billion and processed over $500 billion in spend. Zip's team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups. Your Role This is a founding role. You will be the first Enterprise Architect on the ground in EMEA, standing up the function end-to-end: the playbooks, the reference architectures, the technical discovery motion, and the deal patterns that every future EA will inherit. You'll personally engage on our most strategic pursuits across the business - Fortune 500 and FTSE 100 prospects with SAP-dominant landscapes, complex multi-entity structures, and e-invoicing mandates that don't exist in other regions. You'll work directly with the Global SE leader and partner with Sales, Solution Engineering, Product, and Customer Success leaders. What you build here will shape how Zip sells and delivers across Europe for years. Please note this is a hybrid role out of our London office. What you'll do Win the deals that define the region: Act as the senior technical voice on strategic pursuits - leading discovery with customer CTOs, CIOs, and Chief Procurement Officers, and closing the architectural gap between their landscape and Zip. Build the EA function from zero to one: Create the foundational assets - customer system landscape templates, reference architectures, integration capability matrices, security & compliance packets, objection response libraries - and set the bar for how EA shows up in deals. Own the system integration narrative: Lead the technical story on how Zip integrates with SAP (ECC, S/4HANA, Ariba), Oracle, Workday, Netsuite, Coupa, and adjacent systems. You are responsible for translating the customer landscapes into credible integration plans using our proprietary middleware. Navigate EMEA-specific complexity: Guide customers through e-invoicing mandates (Peppol, France Chorus Pro, Italy SDI, Germany's B2B mandate), GDPR, DORA, and multi-entity/multi-currency rollouts. Bridge GTM and Product: Translate customer requirements into clear product inputs. Influence roadmap prioritization with evidence, not opinion. Enable the field: Coach Solution Engineers and Account Executives on technical positioning, objection handling, and executive-level architectural conversations. Qualifications 15+ years in solution architecture, enterprise architecture, pre-sales engineering, or product roles at B2B SaaS, iPaaS, or ERP / system-of-record vendors. Deep domain knowledge: Knowledgeable about the full intake-to-pay lifecycle and how data moves between systems Strong command of the ERP ecosystem: You understand APIs, data models, and integration patterns across SAP(Ariba, S/4HANA, ECC), Oracle, Workday, Coupa, Ivalua, Jaggaer, and others. Hands on fluency with integration architecture and middleware: iPaaS (MuleSoft, Boomi, Workato), REST APIs, event driven patterns, ETL. Proven success selling into or implementing at Fortune 500 / FTSE 100 customers across multiple EMEA geographies. TOGAF/Zachman/IBM Certified along with EA. Track record of owning RFPs, security reviews, and PoCs at enterprise scale. Comfort operating as the senior technical voice in a room with CIOs, CFOs, and CPOs. Nice to have Experience standing up a function, team, or regional practice from the ground up. Working knowledge of EMEA e invoicing mandates and regulatory regimes (GDPR, DORA) Experience at a category defining, high growth SaaS company or Big 4 Consulting Experience. Multilingual - French, German, or Spanish a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Health, vision & dental coverage Catered lunches & dinners for in office employees Commuter benefit Team building events & happy hours Unlimited PTO Apple equipment plus home office stipend 5% Employer Pension Contribution Travel This role requires approximately 30% travel across EMEA to meet with strategic prospects, customers, and partners, and to join key industry events. We're looking to hire Zippers and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
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
