Tech Lead - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands on in the codebase, especially when the team is dealing with ambiguity, cross system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models. Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the 'product' is high quality data and you can 'speak the language' of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross functional projects. You can balance hands on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high stakes decision making. Bonus A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field. Experience building and maintaining analytics systems. Experience with Python, Snowflake, or PostgreSQL. Experience working on feature management systems such as feature services or features stores. An understanding of complex data systems, including event sourced data models. The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open minded, so definitely include your salary goals with your application. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year. A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse.
16/06/2026
Full time
Tech Lead - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands on in the codebase, especially when the team is dealing with ambiguity, cross system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models. Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the 'product' is high quality data and you can 'speak the language' of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross functional projects. You can balance hands on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high stakes decision making. Bonus A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field. Experience building and maintaining analytics systems. Experience with Python, Snowflake, or PostgreSQL. Experience working on feature management systems such as feature services or features stores. An understanding of complex data systems, including event sourced data models. The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open minded, so definitely include your salary goals with your application. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year. A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse.
About Us The last era of AI scaled on a single bet: bigger models, more identical chips, more data. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. Real-world problems are heterogeneous: no single model or chip can solve them alone. The next era of AI requires heterogeneity at the infrastructure level - diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability that move the Pareto frontier of what is possible. That's what we are building. Callosum is the Intelligent Systems Company. We started from questioning what actually creates intelligence. We believe there is no single answer, but rather a system-level solution. We co-evolve models, workflows, and silicon together to show that intelligence does not come from a single component, but it emerges from the diversity of co-optimised mechanisms working together and aware of each other. Heterogeneity will define the next era of compute, and is a principle that holds in biological, neuronal, and economic systems alike. In early 2026 we launched with results showing orders of magnitude improvements in performance, and this is only the beginning. Agentic AI is the future of how intelligence is deployed: multi-step, long-horizon, and operating in changing environments. These systems are inherently heterogeneous, and can only be as powerful as the infrastructure that runs them. We are engineers and scientists based in London, working together across the full depth of the stack. We are curious, intellectually honest, and building what doesn't exist yet. If you thrive on uncharted territory and are energised by the scale of the challenge, we'd love to hear from you. About the Role You'll build the platform our customers integrate against, working to the architecture the Lead API Platform Architect sets and alongside the reliability engineer. Your first major project is the metering and billing layer the commercial model runs on. From there, you'll build out the core services that turn the platform's design into something that runs in production. This is a build-heavy, hands-on role. The architect decides how the platform is shaped. You build a large part of it. What You'll Build The metering and billing layer. Usage capture, attribution per workflow, and the systems behind consumption-based and outcome-based pricing. Workflow deployment onto the platform. The machinery that registers a workflow, routes it, and gives it the scaling and isolation it needs (some workflows run in their own dedicated container), built to the architect's contract and consuming the execution endpoints each workflow resolves to. Core platform services - the request path, rate limiting, quota enforcement, and the rest of the machinery beneath the API. Client SDKs and libraries. The packages customers use to integrate, in the main languages they work in. Internal platform tooling. The deployment, admin, and operational glue that lets a small team run the platform, shared with the reliability engineer. On-call as the platform scales. What You Bring Strong backend or production-engineering background building and operating services at scale. Strong distributed-systems depth: API design, concurrency, fault tolerance, and how high-throughput services behave operationally. Experience with the infrastructure behind multi-tenant SaaS or API products, such as usage metering, billing, rate limiting, or authentication. Fluency in a backend or systems language such as Python, Go, or Rust, and comfort running services in the cloud. Strong ownership of reliability and correctness in production. What Sets You Apart Experience building usage metering or billing infrastructure for a consumption-priced product. Experience designing and shipping client SDKs that external developers rely on. LLM serving, inference APIs, or ML infrastructure experience. Familiarity with observability tooling such as Prometheus, Grafana, or OpenTelemetry. Early-stage company experience. What We Offer Competitive Salary, determined by skills and experience Equity & Ownership Private healthcare We offer Visa sponsorship and relocation benefits to hire the best in the world We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.
16/06/2026
Full time
About Us The last era of AI scaled on a single bet: bigger models, more identical chips, more data. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. Real-world problems are heterogeneous: no single model or chip can solve them alone. The next era of AI requires heterogeneity at the infrastructure level - diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability that move the Pareto frontier of what is possible. That's what we are building. Callosum is the Intelligent Systems Company. We started from questioning what actually creates intelligence. We believe there is no single answer, but rather a system-level solution. We co-evolve models, workflows, and silicon together to show that intelligence does not come from a single component, but it emerges from the diversity of co-optimised mechanisms working together and aware of each other. Heterogeneity will define the next era of compute, and is a principle that holds in biological, neuronal, and economic systems alike. In early 2026 we launched with results showing orders of magnitude improvements in performance, and this is only the beginning. Agentic AI is the future of how intelligence is deployed: multi-step, long-horizon, and operating in changing environments. These systems are inherently heterogeneous, and can only be as powerful as the infrastructure that runs them. We are engineers and scientists based in London, working together across the full depth of the stack. We are curious, intellectually honest, and building what doesn't exist yet. If you thrive on uncharted territory and are energised by the scale of the challenge, we'd love to hear from you. About the Role You'll build the platform our customers integrate against, working to the architecture the Lead API Platform Architect sets and alongside the reliability engineer. Your first major project is the metering and billing layer the commercial model runs on. From there, you'll build out the core services that turn the platform's design into something that runs in production. This is a build-heavy, hands-on role. The architect decides how the platform is shaped. You build a large part of it. What You'll Build The metering and billing layer. Usage capture, attribution per workflow, and the systems behind consumption-based and outcome-based pricing. Workflow deployment onto the platform. The machinery that registers a workflow, routes it, and gives it the scaling and isolation it needs (some workflows run in their own dedicated container), built to the architect's contract and consuming the execution endpoints each workflow resolves to. Core platform services - the request path, rate limiting, quota enforcement, and the rest of the machinery beneath the API. Client SDKs and libraries. The packages customers use to integrate, in the main languages they work in. Internal platform tooling. The deployment, admin, and operational glue that lets a small team run the platform, shared with the reliability engineer. On-call as the platform scales. What You Bring Strong backend or production-engineering background building and operating services at scale. Strong distributed-systems depth: API design, concurrency, fault tolerance, and how high-throughput services behave operationally. Experience with the infrastructure behind multi-tenant SaaS or API products, such as usage metering, billing, rate limiting, or authentication. Fluency in a backend or systems language such as Python, Go, or Rust, and comfort running services in the cloud. Strong ownership of reliability and correctness in production. What Sets You Apart Experience building usage metering or billing infrastructure for a consumption-priced product. Experience designing and shipping client SDKs that external developers rely on. LLM serving, inference APIs, or ML infrastructure experience. Familiarity with observability tooling such as Prometheus, Grafana, or OpenTelemetry. Early-stage company experience. What We Offer Competitive Salary, determined by skills and experience Equity & Ownership Private healthcare We offer Visa sponsorship and relocation benefits to hire the best in the world We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.
A leading technology firm is looking for a contract Data Engineer in Glasgow. This hybrid role involves designing and optimizing data pipelines for Data Scientists and Traders, focusing on Python development on Databricks and Streamlit. The ideal candidate will have extensive data engineering experience and programming skills in Python and SQL, along with strong stakeholder management and communication skills. This position offers a day rate of up to £675 for a duration of 6 months.
16/06/2026
Full time
A leading technology firm is looking for a contract Data Engineer in Glasgow. This hybrid role involves designing and optimizing data pipelines for Data Scientists and Traders, focusing on Python development on Databricks and Streamlit. The ideal candidate will have extensive data engineering experience and programming skills in Python and SQL, along with strong stakeholder management and communication skills. This position offers a day rate of up to £675 for a duration of 6 months.
About WPP WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world class creativity, next generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. What will your day look like? As a Salesforce Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy and target for the project, followed by developing automations, coding and producing technical specifications, estimates, deployment plans and test methods. Furthermore, your tasks include: Contributing to product implementation/customisation Testing and maintaining client applications and platforms Providing project feedback and updates, using agile methodologies like Scrum and Kanban. Who are you going to work with? You will become part of an exciting and challenging professional environment, working closely with Architects, Developers and Technical Project Managers within the technical team, currently consisting of 150+ colleagues. But you will also work with Data Specialists and Designers outside of your department. Our common feature is that we are all competent, respectful teammates who go the extra mile to help one another. We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy going, dynamic atmosphere where we not only work together, we are great at having fun as well. What do you bring to the table? You are an outgoing and self motivated person who contributes positively to the working environment with your team player attitude. Your previous experience with being a trusted adviser for clients and colleagues means that you are not afraid to express your opinion, and your organised approach helps you meet deadlines and break down projects into manageable chunks. In addition, you have: Experience with Salesforce Marketing Cloud, and it is a plus if you have experience with Adstudio, Social Studio and Einstein 4+ years of developer experience at an agency, working with digital sales and/or marketing solutions Extensive knowledge of technologies such as SQL, AMPscript and JavaScript (marketing domain knowledge is a plus) Experience in Workflow Engines as well as HTML and CSS plus knowledge of one or more programming languages Great communication skills (in English), allowing you to make complex problems understandable and manageable. A leader in personalized customer experiences the company is a world leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. WPP (the company) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
16/06/2026
Full time
About WPP WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world class creativity, next generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. What will your day look like? As a Salesforce Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy and target for the project, followed by developing automations, coding and producing technical specifications, estimates, deployment plans and test methods. Furthermore, your tasks include: Contributing to product implementation/customisation Testing and maintaining client applications and platforms Providing project feedback and updates, using agile methodologies like Scrum and Kanban. Who are you going to work with? You will become part of an exciting and challenging professional environment, working closely with Architects, Developers and Technical Project Managers within the technical team, currently consisting of 150+ colleagues. But you will also work with Data Specialists and Designers outside of your department. Our common feature is that we are all competent, respectful teammates who go the extra mile to help one another. We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy going, dynamic atmosphere where we not only work together, we are great at having fun as well. What do you bring to the table? You are an outgoing and self motivated person who contributes positively to the working environment with your team player attitude. Your previous experience with being a trusted adviser for clients and colleagues means that you are not afraid to express your opinion, and your organised approach helps you meet deadlines and break down projects into manageable chunks. In addition, you have: Experience with Salesforce Marketing Cloud, and it is a plus if you have experience with Adstudio, Social Studio and Einstein 4+ years of developer experience at an agency, working with digital sales and/or marketing solutions Extensive knowledge of technologies such as SQL, AMPscript and JavaScript (marketing domain knowledge is a plus) Experience in Workflow Engines as well as HTML and CSS plus knowledge of one or more programming languages Great communication skills (in English), allowing you to make complex problems understandable and manageable. A leader in personalized customer experiences the company is a world leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. WPP (the company) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; London, UK Minimum qualifications Bachelor's degree in Computer Science, IT, a related field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Preferred qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5 years of experience in systems design, product management, or software engineering roles. About the job At Google the company our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Shape the future of AI by building the core infrastructure and tooling that powers Gemini's agentic capabilities. Through advanced data curation and creation, you will drive the development of next-generation evaluation frameworks: SmithBench: Our gold-standard benchmark testing whether AI agents can autonomously execute complex, end-to-end, first-party Google engineering workflows (such as CL lifecycles, bug investigations, and pipeline orchestration). RE-Bench: Our benchmark designed to measure agent performance on highly complex, long-horizon research engineering tasks. Whether you are designing environments to record programmatic agent-API interactions or building computer-control systems to capture real-time human and model trajectories, your tooling will deliver the foundational training and evaluation data that accelerates AI capabilities across models, harnesses, and skills. Artificial intelligence will be one of humanity's most transformative inventions. At Google the company, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Responsibilities Design and create novel data tooling to accelerate Gemini model evaluation, training, and hill climbing to improve agentic capabilities. Facilitate ingestion and creation of corpora representing complex worlds, and record human, agentic, and hybrid trajectories through the Reinforcement Learning (RL) environments. Build scalable data collection pipelines bridging capturing multi-turn, tool-using agent interactions and enabling rapid iteration on environment complexity and reward design. Create human-in-the-loop annotation and trajectory review tooling, analytics dashboards, and agentic orchestration frameworks to continuously generate, curate, and validate high-signal training corpora at scale. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
16/06/2026
Full time
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; London, UK Minimum qualifications Bachelor's degree in Computer Science, IT, a related field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Preferred qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5 years of experience in systems design, product management, or software engineering roles. About the job At Google the company our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Shape the future of AI by building the core infrastructure and tooling that powers Gemini's agentic capabilities. Through advanced data curation and creation, you will drive the development of next-generation evaluation frameworks: SmithBench: Our gold-standard benchmark testing whether AI agents can autonomously execute complex, end-to-end, first-party Google engineering workflows (such as CL lifecycles, bug investigations, and pipeline orchestration). RE-Bench: Our benchmark designed to measure agent performance on highly complex, long-horizon research engineering tasks. Whether you are designing environments to record programmatic agent-API interactions or building computer-control systems to capture real-time human and model trajectories, your tooling will deliver the foundational training and evaluation data that accelerates AI capabilities across models, harnesses, and skills. Artificial intelligence will be one of humanity's most transformative inventions. At Google the company, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Responsibilities Design and create novel data tooling to accelerate Gemini model evaluation, training, and hill climbing to improve agentic capabilities. Facilitate ingestion and creation of corpora representing complex worlds, and record human, agentic, and hybrid trajectories through the Reinforcement Learning (RL) environments. Build scalable data collection pipelines bridging capturing multi-turn, tool-using agent interactions and enabling rapid iteration on environment complexity and reward design. Create human-in-the-loop annotation and trajectory review tooling, analytics dashboards, and agentic orchestration frameworks to continuously generate, curate, and validate high-signal training corpora at scale. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
About Us the company is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At the company, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join the company and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Job Summary Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands on with code, data, and modern tools (including AI assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines. Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, considering delivery costs and escalating issues that may cause delays. Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices. Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products. Lead code reviews, ensuring adherence to coding standards and providing feedback to team members. Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact. Leverage data analysis and monitoring standards to identify patterns and defects in all environments. Respond to incidents during on call rotations, troubleshoot complex issues, and assist in incident response and resolution. Build, enhance, and identify new developer tools to support programs and applications. Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Experience in software engineering or a directly related field. Experience in developing and/or implementing web-based or mobile applications. Experience in a leadership role with or without direct reports. Experience in technologies/software systems or a directly related field. Experience in creating and maintaining test plans and executing testing procedures. Experience in debugging and troubleshooting software issues. Experience in collaborating with cross functional teams to deliver technical solutions. Experience in code review and applying coding standards. Experience in building or enhancing developer tools. Preferred Qualifications 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience working with container-based technologies. Experience building and testing enterprise-scale web services. Experience in product development. Experience working on client facing project or technical teams. the company is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. the company will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
16/06/2026
Full time
About Us the company is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At the company, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join the company and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Job Summary Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands on with code, data, and modern tools (including AI assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines. Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, considering delivery costs and escalating issues that may cause delays. Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices. Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products. Lead code reviews, ensuring adherence to coding standards and providing feedback to team members. Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact. Leverage data analysis and monitoring standards to identify patterns and defects in all environments. Respond to incidents during on call rotations, troubleshoot complex issues, and assist in incident response and resolution. Build, enhance, and identify new developer tools to support programs and applications. Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Experience in software engineering or a directly related field. Experience in developing and/or implementing web-based or mobile applications. Experience in a leadership role with or without direct reports. Experience in technologies/software systems or a directly related field. Experience in creating and maintaining test plans and executing testing procedures. Experience in debugging and troubleshooting software issues. Experience in collaborating with cross functional teams to deliver technical solutions. Experience in code review and applying coding standards. Experience in building or enhancing developer tools. Preferred Qualifications 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience working with container-based technologies. Experience building and testing enterprise-scale web services. Experience in product development. Experience working on client facing project or technical teams. the company is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. the company will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Ads is the largest revenue generator at Meta and Ads Quality represents around 20% of total revenues which are used to generate long term ads and organic engagement.Core Ads Quality is a unique team jointly optimizing for both quality and revenue, aiming at making this investment more revenue / quality trade-off efficient and generate long term revenue growth through user learning. Among others, Core Ads Quality focuses on: Finding the right trade-off between short and long term revenues Standardizing and optimizing quality treatment of ads across surfaces and page types Understanding user behavior with respect to ads quality Building a solid infrastructure around signals, labels and quality metricsWe work at the intersection of Ads, Machine Learning and User Behavior understanding. The nature of our work is very analytical, involving collaboration with our Data Scientist and a heavy focus on not only understand "what" but also "why". Despite having been created a couple of years ago, the Ads Quality space at Meta is still nascent and full of unexploited opportunities. The org is further structured into the following teams/sub-pillars: Integrity & Efficiency: Proactively cover long-term revenue risks from advertiser friction while supporting cross-functional teams with delivery expertise. Ads Conversion Familiarity: Accelerate Non-Purchaser (NP) -> Purchaser (P) transition by increasing familiarity of ads for users who don't interact with ads frequently Post-Click Quality: Stop Purchaser (P) to Non-Purchaser (NP) user conversions from bad purchase experiences. Modeling: Enhance quality and drive long-term revenue growth through modeling. Quality Science: Build the foundational end to end understanding for funnel quality signals to ensure the efficiency, health and coverage.The team has consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring high ads quality.Staff Software Specialist - AI - Monetisation Responsibilities:Work on meaningful technical (ML and infra) problems at Meta's scale affecting multiple surfaces (Facebook, Instagram, Threads, )Fundamentally change how decisions are made across the business when investing on ads qualityDevelop novel, accurate AI algorithms and advanced systems for large scale applicationsDefine long-term plans and lead teams on executing themImprove the experience of users interacting with ads and help the company mission to establish valuable connections between users and businessesLead projects with clear top-line metric impactEnsure Ads Quality is at the forefront of AI technologiesMinimum Qualifications:Bachelor's degree in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experienceExperience in bringing research results into productionExperience in training, fine-tuning, and/or experimenting with foundation models beyond black-box useExperience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++Track record delivering successful products with large scale impactPreferred Qualifications:Experience in User Behaviour modeling, Long-term Value optimization or Causal LearningExperience in Reinforcement Learning, GenAI, Large Language Models, etcPhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experienceExperience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
16/06/2026
Full time
Ads is the largest revenue generator at Meta and Ads Quality represents around 20% of total revenues which are used to generate long term ads and organic engagement.Core Ads Quality is a unique team jointly optimizing for both quality and revenue, aiming at making this investment more revenue / quality trade-off efficient and generate long term revenue growth through user learning. Among others, Core Ads Quality focuses on: Finding the right trade-off between short and long term revenues Standardizing and optimizing quality treatment of ads across surfaces and page types Understanding user behavior with respect to ads quality Building a solid infrastructure around signals, labels and quality metricsWe work at the intersection of Ads, Machine Learning and User Behavior understanding. The nature of our work is very analytical, involving collaboration with our Data Scientist and a heavy focus on not only understand "what" but also "why". Despite having been created a couple of years ago, the Ads Quality space at Meta is still nascent and full of unexploited opportunities. The org is further structured into the following teams/sub-pillars: Integrity & Efficiency: Proactively cover long-term revenue risks from advertiser friction while supporting cross-functional teams with delivery expertise. Ads Conversion Familiarity: Accelerate Non-Purchaser (NP) -> Purchaser (P) transition by increasing familiarity of ads for users who don't interact with ads frequently Post-Click Quality: Stop Purchaser (P) to Non-Purchaser (NP) user conversions from bad purchase experiences. Modeling: Enhance quality and drive long-term revenue growth through modeling. Quality Science: Build the foundational end to end understanding for funnel quality signals to ensure the efficiency, health and coverage.The team has consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring high ads quality.Staff Software Specialist - AI - Monetisation Responsibilities:Work on meaningful technical (ML and infra) problems at Meta's scale affecting multiple surfaces (Facebook, Instagram, Threads, )Fundamentally change how decisions are made across the business when investing on ads qualityDevelop novel, accurate AI algorithms and advanced systems for large scale applicationsDefine long-term plans and lead teams on executing themImprove the experience of users interacting with ads and help the company mission to establish valuable connections between users and businessesLead projects with clear top-line metric impactEnsure Ads Quality is at the forefront of AI technologiesMinimum Qualifications:Bachelor's degree in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experienceExperience in bringing research results into productionExperience in training, fine-tuning, and/or experimenting with foundation models beyond black-box useExperience developing machine learning algorithms or machine learning infrastructure in Python, PyTorch, and/or C/C++Track record delivering successful products with large scale impactPreferred Qualifications:Experience in User Behaviour modeling, Long-term Value optimization or Causal LearningExperience in Reinforcement Learning, GenAI, Large Language Models, etcPhD in Artificial Intelligence (AI), computer science, related technical fields, or equivalent practical experienceExperience in Ads, especially in auction theory and implementation (bidding, budgeting, targeting)About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are: Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required: Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week No relocation support Equal Opportunity Employer The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognize the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
16/06/2026
Full time
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are: Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required: Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week No relocation support Equal Opportunity Employer The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognize the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
ID: 592812 OpeningsLONDON Role description Kickstart your career in AI and shape the future of data-driven decisions! Junior AI Analyst London 6 months FTE, possible extensions then after Are you passionate about Artificial Intelligence and eager to turn data into meaningful insights? We're looking for a curious, motivated Junior AI Analyst to join our growing team and support innovative AI-driven initiatives. This is a fantastic opportunity to work alongside experienced data scientists and business leaders, gaining hands on exposure to real world AI applications while building a strong foundation in analytics, machine learning, and business problem solving. What you'll be doing: Work with structured and unstructured data to uncover insights and trends Support AI and machine learning projects by preparing datasets and validating outputs Monitor model performance and help translate results into actionable insights Assist in identifying opportunities where AI can drive business value Create dashboards, reports, and presentations for stakeholders Research emerging AI tools, trends, and best practices Collaborate with cross functional teams to enable data driven decision making Maintain high standards of data quality, accuracy, and compliance What you'll bring: A degree in Computer Science, Data Science, AI, Mathematics, Statistics, or a related field Foundational understanding of AI and machine learning concepts Experience with SQL, Excel, and data visualisation tools (Power BI, Tableau) Basic programming skills (Python or R is a plus) Strong analytical thinking and problem solving capabilities Clear communication skills with the ability to translate data into insights A proactive mindset and eagerness to learn in a collaborative environment Nice to have: Internship, coursework, or project experience in AI or data analytics Exposure to tools such as ChatGPT, Azure AI, TensorFlow, or similar platforms Understanding of business analysis concepts Why join us? Work on cutting edge AI initiatives with real business impact Learn from experienced professionals in a collaborative environment Access continuous learning and development opportunities Be part of a culture that values innovation, curiosity, and growth If you're excited about AI and ready to grow your career in a fast paced, supportive environment, we'd love to hear from you. Hurry & apply! company Skills artificial intelligence,data preprocessing,explainable ai,anomaly detection, About the company the company is a global digital transformation solutions provider. For more than 20 years, the company has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, the company partners with their clients from design to operation. With deep domain expertise and a future proof philosophy, the company embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, the company builds for boundless impact-touching billions of lives in the process.
16/06/2026
Full time
ID: 592812 OpeningsLONDON Role description Kickstart your career in AI and shape the future of data-driven decisions! Junior AI Analyst London 6 months FTE, possible extensions then after Are you passionate about Artificial Intelligence and eager to turn data into meaningful insights? We're looking for a curious, motivated Junior AI Analyst to join our growing team and support innovative AI-driven initiatives. This is a fantastic opportunity to work alongside experienced data scientists and business leaders, gaining hands on exposure to real world AI applications while building a strong foundation in analytics, machine learning, and business problem solving. What you'll be doing: Work with structured and unstructured data to uncover insights and trends Support AI and machine learning projects by preparing datasets and validating outputs Monitor model performance and help translate results into actionable insights Assist in identifying opportunities where AI can drive business value Create dashboards, reports, and presentations for stakeholders Research emerging AI tools, trends, and best practices Collaborate with cross functional teams to enable data driven decision making Maintain high standards of data quality, accuracy, and compliance What you'll bring: A degree in Computer Science, Data Science, AI, Mathematics, Statistics, or a related field Foundational understanding of AI and machine learning concepts Experience with SQL, Excel, and data visualisation tools (Power BI, Tableau) Basic programming skills (Python or R is a plus) Strong analytical thinking and problem solving capabilities Clear communication skills with the ability to translate data into insights A proactive mindset and eagerness to learn in a collaborative environment Nice to have: Internship, coursework, or project experience in AI or data analytics Exposure to tools such as ChatGPT, Azure AI, TensorFlow, or similar platforms Understanding of business analysis concepts Why join us? Work on cutting edge AI initiatives with real business impact Learn from experienced professionals in a collaborative environment Access continuous learning and development opportunities Be part of a culture that values innovation, curiosity, and growth If you're excited about AI and ready to grow your career in a fast paced, supportive environment, we'd love to hear from you. Hurry & apply! company Skills artificial intelligence,data preprocessing,explainable ai,anomaly detection, About the company the company is a global digital transformation solutions provider. For more than 20 years, the company has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, the company partners with their clients from design to operation. With deep domain expertise and a future proof philosophy, the company embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, the company builds for boundless impact-touching billions of lives in the process.
We're looking for a Staff Analytics Platform Engineer. In this role you will shape the architecture, reliability, and future direction of the analytics platform that powers trusted, high quality insight across Our Future Health. As a Staff Analytics Platform Engineer, you'll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You'll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence. This is a role where your decisions shape the platform for years to come, and your impact multiplies across every team that uses data. At Our Future Health, our mission is to transform the prevention,detectionand treatment of conditions such as dementia, cancer, diabetes, heart disease and stroke. We're looking for people to join us on our journey. If you're looking for a new challenge where you can contribute to helping future generations live in good health for longer, then we're keen to speak with you. What you'll be doing Co owning the analytics platform architecture, designing end to end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long term technical vision for the analytics platform, ensuring it is scalable, cost efficient, secure, and easy for data consumers to use. Establishing architectural principles and patterns that balance reliability, governance, usability, and performance across the entire data ecosystem. Leading high impact platform initiatives that improve performance, developer experience, cost efficiency, or operational maturity. Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code. Acting as the technical escalation point for complex, cross cutting platform issues and guiding teams toward robust, scalable solutions. Driving Snowflake performance and cost optimisation, informed by real workloads and modelling patterns. Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale. Collaborating with data product and engineering teams to enable safe, scalable ingestion and well defined data contracts. Influencing how teams design and interact with data systems, raising engineering standards across the organisation. Providing technical mentorship to analytics engineers and platform engineers, helping elevate capability across the data function. What you won't be doing Working in a siloed environment with no freedom to make decisions. Working in a place where you can't see the impact your expertise makes. To succeed in this role you will be able to demonstrate some of the following skills and experience Deep experience building and running modern data platforms in complex, multi team environments. Excellent Python engineering skills and the ability to design scalable, reliable platform components. Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability. Hands on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources. Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement. Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments. Ability to diagnose complex, cross cutting issues across data, infrastructure, and analytical workloads. A track record of improving developer experience and reducing friction in data development. Clear, influential communication skills with the ability to align teams around platform strategy. Experience mentoring engineers and raising capability across data and platform teams. Hands on dbt and analytics CI/CD experience. Experience with Kubernetes and cloud native environments. Familiarity with semantic layers and BI tooling (e.g. Omni). Experience supporting secure notebook environments (Coder, Jupyter, RStudio). Comfort working in regulated environments with strong governance and audit needs. Knowledge of Terraform, data governance models, and data observability tooling. Benefits Salary from £95,000 per annum. Generous Pension Scheme - We invest in your future with employer contributions of up to 12%. 30 Days Holiday + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you. Enhanced Parental Leave - Supporting you during life's biggest moments. Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice. Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family. A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements. Join us - let'sprevent disease together. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at
16/06/2026
Full time
We're looking for a Staff Analytics Platform Engineer. In this role you will shape the architecture, reliability, and future direction of the analytics platform that powers trusted, high quality insight across Our Future Health. As a Staff Analytics Platform Engineer, you'll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You'll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics with confidence. This is a role where your decisions shape the platform for years to come, and your impact multiplies across every team that uses data. At Our Future Health, our mission is to transform the prevention,detectionand treatment of conditions such as dementia, cancer, diabetes, heart disease and stroke. We're looking for people to join us on our journey. If you're looking for a new challenge where you can contribute to helping future generations live in good health for longer, then we're keen to speak with you. What you'll be doing Co owning the analytics platform architecture, designing end to end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long term technical vision for the analytics platform, ensuring it is scalable, cost efficient, secure, and easy for data consumers to use. Establishing architectural principles and patterns that balance reliability, governance, usability, and performance across the entire data ecosystem. Leading high impact platform initiatives that improve performance, developer experience, cost efficiency, or operational maturity. Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code. Acting as the technical escalation point for complex, cross cutting platform issues and guiding teams toward robust, scalable solutions. Driving Snowflake performance and cost optimisation, informed by real workloads and modelling patterns. Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale. Collaborating with data product and engineering teams to enable safe, scalable ingestion and well defined data contracts. Influencing how teams design and interact with data systems, raising engineering standards across the organisation. Providing technical mentorship to analytics engineers and platform engineers, helping elevate capability across the data function. What you won't be doing Working in a siloed environment with no freedom to make decisions. Working in a place where you can't see the impact your expertise makes. To succeed in this role you will be able to demonstrate some of the following skills and experience Deep experience building and running modern data platforms in complex, multi team environments. Excellent Python engineering skills and the ability to design scalable, reliable platform components. Expertise in analytics data modelling and how modelling choices affect performance, cost, and usability. Hands on experience with ingestion/orchestration tooling (e.g. Airbyte) and scaling pipelines across many sources. Proven technical leadership across infrastructure, ingestion, transformation, and analytics enablement. Strong platform architecture experience: Snowflake, dbt execution, semantic layers, secure analytics environments. Ability to diagnose complex, cross cutting issues across data, infrastructure, and analytical workloads. A track record of improving developer experience and reducing friction in data development. Clear, influential communication skills with the ability to align teams around platform strategy. Experience mentoring engineers and raising capability across data and platform teams. Hands on dbt and analytics CI/CD experience. Experience with Kubernetes and cloud native environments. Familiarity with semantic layers and BI tooling (e.g. Omni). Experience supporting secure notebook environments (Coder, Jupyter, RStudio). Comfort working in regulated environments with strong governance and audit needs. Knowledge of Terraform, data governance models, and data observability tooling. Benefits Salary from £95,000 per annum. Generous Pension Scheme - We invest in your future with employer contributions of up to 12%. 30 Days Holiday + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you. Enhanced Parental Leave - Supporting you during life's biggest moments. Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice. Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family. A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements. Join us - let'sprevent disease together. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at
Deutsche Bank AG is seeking a Technical Product Owner for their AI/ML Platform, located in London. In this role, you will own the vision and roadmap, enabling data scientists and developers through effective MLOps capabilities. This position requires a proven background in product ownership, deep understanding of the AI/ML lifecycle, and strong communication skills to articulate complex technical requirements. The role includes defining the product vision, maintaining the backlog, and driving feature adoption.
16/06/2026
Full time
Deutsche Bank AG is seeking a Technical Product Owner for their AI/ML Platform, located in London. In this role, you will own the vision and roadmap, enabling data scientists and developers through effective MLOps capabilities. This position requires a proven background in product ownership, deep understanding of the AI/ML lifecycle, and strong communication skills to articulate complex technical requirements. The role includes defining the product vision, maintaining the backlog, and driving feature adoption.
About the role We are looking for a Senior Data Analyst to lead analytics and evaluation efforts for search and retrieval systems. You will own key analytical workflows, define measurement strategies, and generate insights that directly improve ranking quality, relevance, and user experience. This role is ideal for someone with deep experience in search analytics, experimentation, and data visualization, who can operate with high autonomy and influence decision making across cross functional teams. Key Responsibilities Search Evaluation & Analytics: Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance. Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR). Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities. Conduct deep dive analyses on ranking performance, query intent, and retrieval gaps. Support evaluation of downstream applications (including GenAI powered features) where they depend on retrieval quality. Experimentation & Reporting: Help design and lead A/B testing and experimentation frameworks for search and ranking improvements. Partner with product and data science to define success metrics and experiment strategies. Ensure statistical rigor in experiment design, analysis, and interpretation. Build reusable experimentation templates and scalable analysis workflows. Data Visualization & Communication: Own and evolve dashboards and reporting systems tracking search performance and user engagement. Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders. Enable self service analytics for partners through well designed reporting tools. Data Management & Tooling: Work with large scale datasets using modern platforms (e.g., Databricks, Spark, SQL based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search systems. Cross functional Impact & Mentorship: Act as a key analytics partner to search data scientists, engineers, and product teams. Help elevate the team's understanding of retrieval performance and measurement frameworks. Required Qualifications Master's or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Significant experience in data analysis, business intelligence, or analytics roles. Proficiency in SQL and Python for large scale data analysis. Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn). Experience working with Databricks or similar large scale data platforms. Excellent understanding of experimentation design, A/B testing, and statistical analysis. Experience defining and analyzing search/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics). Proven ability to translate complex data into actionable insights and influence decisions. Preferred Qualifications PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Experience working on search, ranking, or recommendation systems. Familiarity with information retrieval concepts (e.g., indexing, ranking, query understanding). Exposure to clickstream data, user behavior analytics, and event tracking systems. Experience supporting evaluation of ML based ranking or retrieval systems. Familiarity with RAG systems or GenAI applications. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
16/06/2026
Full time
About the role We are looking for a Senior Data Analyst to lead analytics and evaluation efforts for search and retrieval systems. You will own key analytical workflows, define measurement strategies, and generate insights that directly improve ranking quality, relevance, and user experience. This role is ideal for someone with deep experience in search analytics, experimentation, and data visualization, who can operate with high autonomy and influence decision making across cross functional teams. Key Responsibilities Search Evaluation & Analytics: Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance. Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR). Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities. Conduct deep dive analyses on ranking performance, query intent, and retrieval gaps. Support evaluation of downstream applications (including GenAI powered features) where they depend on retrieval quality. Experimentation & Reporting: Help design and lead A/B testing and experimentation frameworks for search and ranking improvements. Partner with product and data science to define success metrics and experiment strategies. Ensure statistical rigor in experiment design, analysis, and interpretation. Build reusable experimentation templates and scalable analysis workflows. Data Visualization & Communication: Own and evolve dashboards and reporting systems tracking search performance and user engagement. Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders. Enable self service analytics for partners through well designed reporting tools. Data Management & Tooling: Work with large scale datasets using modern platforms (e.g., Databricks, Spark, SQL based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search systems. Cross functional Impact & Mentorship: Act as a key analytics partner to search data scientists, engineers, and product teams. Help elevate the team's understanding of retrieval performance and measurement frameworks. Required Qualifications Master's or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Significant experience in data analysis, business intelligence, or analytics roles. Proficiency in SQL and Python for large scale data analysis. Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn). Experience working with Databricks or similar large scale data platforms. Excellent understanding of experimentation design, A/B testing, and statistical analysis. Experience defining and analyzing search/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics). Proven ability to translate complex data into actionable insights and influence decisions. Preferred Qualifications PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Experience working on search, ranking, or recommendation systems. Familiarity with information retrieval concepts (e.g., indexing, ranking, query understanding). Exposure to clickstream data, user behavior analytics, and event tracking systems. Experience supporting evaluation of ML based ranking or retrieval systems. Familiarity with RAG systems or GenAI applications. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Data Scientist / Senior Data Scientist London, United Kingdom - Posted 9 months ago. Tech stack Artificial Intelligence Java GitHub JavaScript Preferred Qualifications Experience with JavaScript and Java. Experience with time series and dynamical systems. A portfolio of projects (GitHub, papers, etc.). C3 AI provides excellent verbal and written communication. Ability to travel as needed. C3 AI C3.ai is a leading enterprise AI software provider for building enterprise scale AI applications and accelerating digital transformation. Compensation Competitive. Role type Full time. Visa sponsorship Not provided.
16/06/2026
Full time
Data Scientist / Senior Data Scientist London, United Kingdom - Posted 9 months ago. Tech stack Artificial Intelligence Java GitHub JavaScript Preferred Qualifications Experience with JavaScript and Java. Experience with time series and dynamical systems. A portfolio of projects (GitHub, papers, etc.). C3 AI provides excellent verbal and written communication. Ability to travel as needed. C3 AI C3.ai is a leading enterprise AI software provider for building enterprise scale AI applications and accelerating digital transformation. Compensation Competitive. Role type Full time. Visa sponsorship Not provided.
Job Overview We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud native data, backend engineering, and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Drives adoption and governance of approved AI assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI assisted code review/refactoring, test acceleration, release readiness, incident/root cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI assisted development and automation capabilities, to improve the value realized by automation at scale. Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces a passion for learning, problem solving, creative thinking and a can do attitude. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and proficient applied experience Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages - Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical experience developing production scale Cloud native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Demonstrated experience leading effective use of enterprise authorized AI assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred Qualifications, Capabilities, and Skills Experience with data, AWS and AIML engineering in commercial settings, preferably in the financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists Equal Employment Opportunity We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
16/06/2026
Full time
Job Overview We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud native data, backend engineering, and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Drives adoption and governance of approved AI assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI assisted code review/refactoring, test acceleration, release readiness, incident/root cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI assisted development and automation capabilities, to improve the value realized by automation at scale. Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces a passion for learning, problem solving, creative thinking and a can do attitude. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and proficient applied experience Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages - Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical experience developing production scale Cloud native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Demonstrated experience leading effective use of enterprise authorized AI assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred Qualifications, Capabilities, and Skills Experience with data, AWS and AIML engineering in commercial settings, preferably in the financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists Equal Employment Opportunity We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
JOB DESCRIPTION Join the Applied Artificial Intelligence and Machine Learning team as a Lead Software Engineer within Corporate and Investment Banking. You will play a pivotal role in transforming the operations of the world's largest bank. You will collaborate with Data Scientists and Line of Business teams to integrate AI/ML solutions and develop horizontal capabilities, focusing on creating robust APIs, services, and libraries. Job Responsibilities Develop and maintain high-quality applications using Python. Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS. Design and deploy solutions with MLOps best practices. Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems. Mentor and guide junior team members, lead initiatives to promote best practices and automation. Collaborate closely with SRE and production monitoring teams to ensure system reliability and performance. Required Qualifications, Capabilities and Skills Formal training or certification in Computer Science, Engineering, or a related field, along with strong advanced experience in key concepts. Proven hands-on experience with Python and Kubernetes or ECS. Experience with cloud platforms such as AWS. Ability to work independently to understand and integrate with other systems within a bank. Excellent communication and collaboration skills. Preferred Qualifications, Capabilities and Skills Practical understanding of MLOPS. Hands-on experience with Terraform. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
16/06/2026
Full time
JOB DESCRIPTION Join the Applied Artificial Intelligence and Machine Learning team as a Lead Software Engineer within Corporate and Investment Banking. You will play a pivotal role in transforming the operations of the world's largest bank. You will collaborate with Data Scientists and Line of Business teams to integrate AI/ML solutions and develop horizontal capabilities, focusing on creating robust APIs, services, and libraries. Job Responsibilities Develop and maintain high-quality applications using Python. Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS. Design and deploy solutions with MLOps best practices. Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems. Mentor and guide junior team members, lead initiatives to promote best practices and automation. Collaborate closely with SRE and production monitoring teams to ensure system reliability and performance. Required Qualifications, Capabilities and Skills Formal training or certification in Computer Science, Engineering, or a related field, along with strong advanced experience in key concepts. Proven hands-on experience with Python and Kubernetes or ECS. Experience with cloud platforms such as AWS. Ability to work independently to understand and integrate with other systems within a bank. Excellent communication and collaboration skills. Preferred Qualifications, Capabilities and Skills Practical understanding of MLOPS. Hands-on experience with Terraform. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Overview We are seeking a Senior Principal AI Engineer to design, build, and deliver production grade AI solutions for complex client environments. This role blends hands on AI engineering, technical leadership, and client facing consulting, with a strong focus on scalable, secure, and responsible AI delivery. You will work closely with clients and internal teams to translate business problems into engineered AI solutions, covering the full lifecycle from data ingestion through to deployment, monitoring, and optimisation. Responsibilities AI Engineering & Delivery Design, develop, and deploy end to end AI/ML solutions, including classical ML and generative AI use cases. Build and maintain production ready AI pipelines (data ingestion, feature engineering, model training, evaluation, deployment, monitoring). Apply MLOps best practices, including CI/CD for models, versioning, automated retraining, monitoring, and rollback. Ensure AI solutions are scalable, secure, performant, and reliable in real world environments. Architecture & Technical Leadership Define AI solution architectures aligned to client needs, constraints, and long term sustainability. Set and uphold engineering standards for AI development, testing, deployment, and monitoring. Evaluate and introduce emerging AI technologies (e.g. GenAI, LLMs, vector databases) where they deliver clear value. Client Engagement Engage directly with clients to understand AI use cases, data readiness, risks, and success criteria. Lead technical workshops and solution design sessions with client stakeholders. Act as a trusted technical adviser, guiding AI feasibility, trade offs, and implementation strategy. Responsible AI & Governance Embed Responsible AI principles including explainability, bias mitigation, auditability, and data privacy. Ensure compliance with data protection regulations (e.g. GDPR) and industry standards. Team & Capability Development Mentor AI engineers and data scientists, providing technical guidance and code/model review. Contribute to internal accelerators, reusable components, and AI delivery playbooks. Essential skills Solid software engineering background (Python required; additional languages a plus). Ability to communicate complex technical concepts clearly to non technical stakeholders. Experience Strong experience as an AI Engineer, ML Engineer, or similar role delivering production AI systems. Experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit learn). Proven experience with MLOps and deploying models into live environments. Cloud experience (Azure, AWS, or GCP). Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges. We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects. ExpleoAcademy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses. Competitive company benefits. Always working as one team, our people are not afraid to think big and challenge the status quo. As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible. Communicating and promoting vacancies. Offering an interview to disabled people who meet the minimum criteria for the job. Anticipating and providing reasonable adjustments as required. Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people. "We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age". We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
16/06/2026
Full time
Overview We are seeking a Senior Principal AI Engineer to design, build, and deliver production grade AI solutions for complex client environments. This role blends hands on AI engineering, technical leadership, and client facing consulting, with a strong focus on scalable, secure, and responsible AI delivery. You will work closely with clients and internal teams to translate business problems into engineered AI solutions, covering the full lifecycle from data ingestion through to deployment, monitoring, and optimisation. Responsibilities AI Engineering & Delivery Design, develop, and deploy end to end AI/ML solutions, including classical ML and generative AI use cases. Build and maintain production ready AI pipelines (data ingestion, feature engineering, model training, evaluation, deployment, monitoring). Apply MLOps best practices, including CI/CD for models, versioning, automated retraining, monitoring, and rollback. Ensure AI solutions are scalable, secure, performant, and reliable in real world environments. Architecture & Technical Leadership Define AI solution architectures aligned to client needs, constraints, and long term sustainability. Set and uphold engineering standards for AI development, testing, deployment, and monitoring. Evaluate and introduce emerging AI technologies (e.g. GenAI, LLMs, vector databases) where they deliver clear value. Client Engagement Engage directly with clients to understand AI use cases, data readiness, risks, and success criteria. Lead technical workshops and solution design sessions with client stakeholders. Act as a trusted technical adviser, guiding AI feasibility, trade offs, and implementation strategy. Responsible AI & Governance Embed Responsible AI principles including explainability, bias mitigation, auditability, and data privacy. Ensure compliance with data protection regulations (e.g. GDPR) and industry standards. Team & Capability Development Mentor AI engineers and data scientists, providing technical guidance and code/model review. Contribute to internal accelerators, reusable components, and AI delivery playbooks. Essential skills Solid software engineering background (Python required; additional languages a plus). Ability to communicate complex technical concepts clearly to non technical stakeholders. Experience Strong experience as an AI Engineer, ML Engineer, or similar role delivering production AI systems. Experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit learn). Proven experience with MLOps and deploying models into live environments. Cloud experience (Azure, AWS, or GCP). Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges. We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects. ExpleoAcademy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses. Competitive company benefits. Always working as one team, our people are not afraid to think big and challenge the status quo. As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible. Communicating and promoting vacancies. Offering an interview to disabled people who meet the minimum criteria for the job. Anticipating and providing reasonable adjustments as required. Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people. "We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age". We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
The United States Digital Space LLC in the United Kingdom is seeking a Lead Software Engineer to join the Applied Artificial Intelligence and Machine Learning team. This pivotal role involves transforming banking operations by collaborating with Data Scientists to integrate AI/ML solutions, creating robust APIs and services, and ensuring system reliability. Applicants should have strong experience in Python, Kubernetes, and AWS, along with a background in Computer Science or Engineering. This position offers the chance to mentor junior engineers and lead initiatives in best practices and automation.
16/06/2026
Full time
The United States Digital Space LLC in the United Kingdom is seeking a Lead Software Engineer to join the Applied Artificial Intelligence and Machine Learning team. This pivotal role involves transforming banking operations by collaborating with Data Scientists to integrate AI/ML solutions, creating robust APIs and services, and ensuring system reliability. Applicants should have strong experience in Python, Kubernetes, and AWS, along with a background in Computer Science or Engineering. This position offers the chance to mentor junior engineers and lead initiatives in best practices and automation.
Senior Data Scientist - AI / Profit Intelligence Platform (FDI Scale-Up) MCS Group are delighted to be working with an exciting, fast-growing global SaaS business that is building an AI-driven platform helping some of the world's largest companies understand and improve profitability. Their platform brings together financial, sales, HR, and operational data into one place, giving businesses a clear, real-time view of where they are making and losing money - right down to transaction level, powered by AI and advanced analytics. They already work with major international clients across the US, Europe, and EMEA and are now establishing a new engineering hub right here in Belfast. The engineering and data function is scaling, with a strong leadership team and a growing AI / data research capability. The Role This is a Senior Data Scientist role for someone who enjoys a mix of hands-on building and research-driven problem solving. You won't just be building dashboards - you'll be helping shape how the product understands and predicts profitability using real-world, often messy financial data. You'll be: Building financial and data models to understand profit drivers Working with complex, messy datasets (finance, sales, operational data) Using Python to clean, structure, and model data Applying AI / LLMs to generate deeper commercial insights Experimenting with new modelling approaches and analytical methods Helping define how the product evolves from a data and AI perspective Turning real-world business data into usable, scalable intelligence What they're looking for Strong Python skills (daily, hands-on use) Experience working with real-world, messy datasets Strong commercial understanding (revenue, cost, margin, profitability) Comfortable moving between data exploration, modelling, and production thinking Exposure to AI / LLMs (or strong interest in this space) Understanding of data pipelines / APIs / how systems connect Cloud experience (nice to have, not essential) This is a rare opportunity to join a small but high-impact AI/data team at the core of a scaling global product. It's a blend of data science, experimentation, and product innovation, focused on solving real commercial problems - not just reporting on them.
16/06/2026
Full time
Senior Data Scientist - AI / Profit Intelligence Platform (FDI Scale-Up) MCS Group are delighted to be working with an exciting, fast-growing global SaaS business that is building an AI-driven platform helping some of the world's largest companies understand and improve profitability. Their platform brings together financial, sales, HR, and operational data into one place, giving businesses a clear, real-time view of where they are making and losing money - right down to transaction level, powered by AI and advanced analytics. They already work with major international clients across the US, Europe, and EMEA and are now establishing a new engineering hub right here in Belfast. The engineering and data function is scaling, with a strong leadership team and a growing AI / data research capability. The Role This is a Senior Data Scientist role for someone who enjoys a mix of hands-on building and research-driven problem solving. You won't just be building dashboards - you'll be helping shape how the product understands and predicts profitability using real-world, often messy financial data. You'll be: Building financial and data models to understand profit drivers Working with complex, messy datasets (finance, sales, operational data) Using Python to clean, structure, and model data Applying AI / LLMs to generate deeper commercial insights Experimenting with new modelling approaches and analytical methods Helping define how the product evolves from a data and AI perspective Turning real-world business data into usable, scalable intelligence What they're looking for Strong Python skills (daily, hands-on use) Experience working with real-world, messy datasets Strong commercial understanding (revenue, cost, margin, profitability) Comfortable moving between data exploration, modelling, and production thinking Exposure to AI / LLMs (or strong interest in this space) Understanding of data pipelines / APIs / how systems connect Cloud experience (nice to have, not essential) This is a rare opportunity to join a small but high-impact AI/data team at the core of a scaling global product. It's a blend of data science, experimentation, and product innovation, focused on solving real commercial problems - not just reporting on them.
About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You'll lead and grow a team that builds the core software powering our data driven financial products, ensuring our models are integrated into seamless, consumer facing experiences. What you'll do Lead & Scale: Support a cross functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have an understanding of how AI fits into the stack, the basics of model inference, data requirements, and how to manage the non deterministic nature of AI. Strategic Thinking: Comfortable making technical trade offs between the need for rapid experimentation and long term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximise innersourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact . All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
16/06/2026
Full time
About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You'll lead and grow a team that builds the core software powering our data driven financial products, ensuring our models are integrated into seamless, consumer facing experiences. What you'll do Lead & Scale: Support a cross functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have an understanding of how AI fits into the stack, the basics of model inference, data requirements, and how to manage the non deterministic nature of AI. Strategic Thinking: Comfortable making technical trade offs between the need for rapid experimentation and long term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximise innersourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact . All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
Job number: NAT02206 Faculty: Faculty of Natural Sciences Department: Department of Chemistry Salary: £69,365- £79,257 per annum Location: White City Campus - Hybrid Contract type: Full time - Fixed term Posting End Date: 25 Jun 2026 About the role This is an exciting opportunity to be involved in the design and implementation of novel digital technologies in collaboration with a wide range of academic and industrial partners who are part of AIchemy - an AI Hub involving the company, the University of Liverpool, and a large consortium of academic and industrial partners. The Senior Software Engineer post will be ideal for an individual interested in working creatively across a range of projects and experts to deliver software from data infrastructure to novel AI, working closely with academics in Chemistry and multiple other departments, as well as partners across the larger consortium. You will also work closely with the AIchemy leadership team, project management team, researchers and other software and data scientists to deliver on objectives. What you would be doing You will be responsible for leading the technical discussion on project research requirements, to deliver the design, development of end-to-end software solutions to achieve research objectives involving stakeholders from the company, the University of Liverpool and a consortium of academic and industrial partners. As a highly motivated software engineer, you will be developing the key infrastructure for the development and use of AI in Chemistry and have a clear framework of accountability, while exercising substantial personal responsibility and autonomy, applying novel technologies to diverse and meaningful challenges. This will include being able to provide expert advice, guidance and support to other members of the team to define software requirements and develop a high-level plan for development as part of an agile process. What we are looking for A postgraduate degree in Computer Science or Chemistry with strong emphasis on computational chemistry/machine learning and software development. Significant experience of full cycle software development, including design, implementation and deployment. Experience with Windows and Linux environments. Experience coding with at least one industry-standard language commonly used for data analysis and web applications e.g. Python. What we can offer you This role provides an exciting opportunity to be involved in one of the nine EPSRC funded AI Hubs funded to deliver next-generation innovations and technologies. You will become part of Team AIchemy and have the opportunity to work with partners across the Hub and with other AI hubs. The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Benefit from sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Get access to a range of workplace benefits including a flexible working policy from day 1, generous family leave packages, on-site leisure facilities and a cycle-to-work scheme. Interest free season ticket loan schemes for travel. Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing. Further information This is a full time and fixed term role until 31 January 2029. You will be based at the White City Campus. Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment. For further details on the role, please contact Prof Kim Jelfs -
16/06/2026
Full time
Job number: NAT02206 Faculty: Faculty of Natural Sciences Department: Department of Chemistry Salary: £69,365- £79,257 per annum Location: White City Campus - Hybrid Contract type: Full time - Fixed term Posting End Date: 25 Jun 2026 About the role This is an exciting opportunity to be involved in the design and implementation of novel digital technologies in collaboration with a wide range of academic and industrial partners who are part of AIchemy - an AI Hub involving the company, the University of Liverpool, and a large consortium of academic and industrial partners. The Senior Software Engineer post will be ideal for an individual interested in working creatively across a range of projects and experts to deliver software from data infrastructure to novel AI, working closely with academics in Chemistry and multiple other departments, as well as partners across the larger consortium. You will also work closely with the AIchemy leadership team, project management team, researchers and other software and data scientists to deliver on objectives. What you would be doing You will be responsible for leading the technical discussion on project research requirements, to deliver the design, development of end-to-end software solutions to achieve research objectives involving stakeholders from the company, the University of Liverpool and a consortium of academic and industrial partners. As a highly motivated software engineer, you will be developing the key infrastructure for the development and use of AI in Chemistry and have a clear framework of accountability, while exercising substantial personal responsibility and autonomy, applying novel technologies to diverse and meaningful challenges. This will include being able to provide expert advice, guidance and support to other members of the team to define software requirements and develop a high-level plan for development as part of an agile process. What we are looking for A postgraduate degree in Computer Science or Chemistry with strong emphasis on computational chemistry/machine learning and software development. Significant experience of full cycle software development, including design, implementation and deployment. Experience with Windows and Linux environments. Experience coding with at least one industry-standard language commonly used for data analysis and web applications e.g. Python. What we can offer you This role provides an exciting opportunity to be involved in one of the nine EPSRC funded AI Hubs funded to deliver next-generation innovations and technologies. You will become part of Team AIchemy and have the opportunity to work with partners across the Hub and with other AI hubs. The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Benefit from sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Get access to a range of workplace benefits including a flexible working policy from day 1, generous family leave packages, on-site leisure facilities and a cycle-to-work scheme. Interest free season ticket loan schemes for travel. Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing. Further information This is a full time and fixed term role until 31 January 2029. You will be based at the White City Campus. Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment. For further details on the role, please contact Prof Kim Jelfs -
