Engineering Lead Software Manager Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote (UK / Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Founding Engineer / Engineering Lead, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. This role is for someone who thinks commercially and works in partnership with clients to capture and design solutions from the ground up. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
16/06/2026
Full time
Engineering Lead Software Manager Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote (UK / Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter. This is where you come in. You'll join as a Founding Engineer / Engineering Lead, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. This role is for someone who thinks commercially and works in partnership with clients to capture and design solutions from the ground up. What we're looking for Strong Python experience, particularly with asynchronous or distributed systems Solid experience building APIs and backend services Good understanding of cloud environments (Azure preferred), CI/CD, and deployment Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led) Someone who enjoys the craft of engineering, not just shipping code, but building things properly A genuine interest in AI and how it's shaping modern software development Why this role Fully remote across the UK Early-stage, but well-funded and already delivering real projects A chance to influence how things are built as the team scales Work that balances pace with quality, no endless POCs that go nowhere If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit. Hit apply or contact (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
15/06/2026
Full time
Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
15/06/2026
Full time
Data Science Manager London, Hybrid (2-3 days per week) 100,000 - 110,000 This is a Data Science Manager role within a global insurance business, sitting in a growing Strategic Analytics team focused on using predictive modelling and advanced analytics to drive better business decisions. The role is focused on identifying opportunities where data can improve performance, working closely with senior stakeholders to understand business challenges and developing analytics-led solutions that deliver real value. You'll oversee the development of predictive models and machine learning solutions, whilst providing leadership and support to a team of Data Scientists and acting as a key link between the business and analytics functions. It's a hands-on leadership role where you'll be expected to combine strong technical knowledge with stakeholder engagement, mentoring and project delivery. They're looking for somebody with experience across Data Science, Predictive Modelling and Advanced Analytics, ideally within Insurance, London Market or Claims environments, although broader Financial Services experience will also be considered.
Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Data & Analytics Closing date: 22 June 2026 Requisition ID: At Sainsbury's, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury's powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury's, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you'll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem solving. Join us and help shape the future of retail through data and AI. Associate Data Scientist - Hybrid Working - London/Home In Customer Data Science (part of the Data Science Hub), we build the systems behind personalised customer decisioning - from customer segmentations to offer optimisation. We impact millions of customers, bringing them value and earning their loyalty. This team already personalises all of the offers you see in the Nectar app, but now we're growing in ambition and scale. We aim to personalise everything that matters - offers, online recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI. This role will work in a team dedicated to personalising our customer experiences, developing new capability while optimising the technology we already have. You'll apply your experience and ideas to design, build, and improve our capabilities - driving value for the customer and the business. What you'll do Solve the hard problems Work on the technical development of algorithms and pipelines that will deliver against our strategic objectives. Iterate our modelling and optimisation capabilities, applying the most appropriate techniques to use for each commercial problem. Embody and improve best practice Align to best practice across modelling, experimentation, deployment, and model lifecycle management. Be an enthusiastic member of our community Bring new ideas for future approaches, including state of the art techniques where appropriate. Understand how our business really works, including by supporting our stores during peak trading periods. Actively contribute to our vibrant Data and Analytics community of over 800 colleagues, providing a view on new techniques and approaches that can drive positive change in wider teams. Who you are We're looking for a highly motivated self starter who owns their own development - you'll know what you don't know, and you'll use the experienced team around you to advance quickly. You need to thrive in a challenging role, and want to balance technical rigour against our need to deliver commercial and customer value. Experience in a Data Science role (or equivalent academic experience). A strong ability to communicate ideas to audiences of varying technical background and seniority. Data Science expertise Strong grounding in statistical modelling and machine learning. Strong understanding of the "how" behind the algorithm; ability to select the right technique for a given objective and avoid pitfalls. Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics. Extensive programming ability across Python and strong ability to use SQL, with a proven experience of building working ML. Understanding of working with production codebases, such as version control. Development A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI. Experience in Data Science roles or equivalent academic experience A strong ability to communicate ideas to audiences of varying technical background and seniority Strong grounding in statistical modelling and machine learning, including predictive modelling Extensive programming ability across Python and strong ability to use SQL Benefits We are committed to being a truly inclusive retailer so you'll be welcomed whatever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Starting off with a colleague discount, you'll be able to save 10% on your shopping online and in store at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 5% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) and access to a great range of discounts from hundreds of other retailers. If you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
15/06/2026
Full time
Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Data & Analytics Closing date: 22 June 2026 Requisition ID: At Sainsbury's, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury's powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury's, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you'll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem solving. Join us and help shape the future of retail through data and AI. Associate Data Scientist - Hybrid Working - London/Home In Customer Data Science (part of the Data Science Hub), we build the systems behind personalised customer decisioning - from customer segmentations to offer optimisation. We impact millions of customers, bringing them value and earning their loyalty. This team already personalises all of the offers you see in the Nectar app, but now we're growing in ambition and scale. We aim to personalise everything that matters - offers, online recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI. This role will work in a team dedicated to personalising our customer experiences, developing new capability while optimising the technology we already have. You'll apply your experience and ideas to design, build, and improve our capabilities - driving value for the customer and the business. What you'll do Solve the hard problems Work on the technical development of algorithms and pipelines that will deliver against our strategic objectives. Iterate our modelling and optimisation capabilities, applying the most appropriate techniques to use for each commercial problem. Embody and improve best practice Align to best practice across modelling, experimentation, deployment, and model lifecycle management. Be an enthusiastic member of our community Bring new ideas for future approaches, including state of the art techniques where appropriate. Understand how our business really works, including by supporting our stores during peak trading periods. Actively contribute to our vibrant Data and Analytics community of over 800 colleagues, providing a view on new techniques and approaches that can drive positive change in wider teams. Who you are We're looking for a highly motivated self starter who owns their own development - you'll know what you don't know, and you'll use the experienced team around you to advance quickly. You need to thrive in a challenging role, and want to balance technical rigour against our need to deliver commercial and customer value. Experience in a Data Science role (or equivalent academic experience). A strong ability to communicate ideas to audiences of varying technical background and seniority. Data Science expertise Strong grounding in statistical modelling and machine learning. Strong understanding of the "how" behind the algorithm; ability to select the right technique for a given objective and avoid pitfalls. Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics. Extensive programming ability across Python and strong ability to use SQL, with a proven experience of building working ML. Understanding of working with production codebases, such as version control. Development A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI. Experience in Data Science roles or equivalent academic experience A strong ability to communicate ideas to audiences of varying technical background and seniority Strong grounding in statistical modelling and machine learning, including predictive modelling Extensive programming ability across Python and strong ability to use SQL Benefits We are committed to being a truly inclusive retailer so you'll be welcomed whatever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Starting off with a colleague discount, you'll be able to save 10% on your shopping online and in store at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 5% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) and access to a great range of discounts from hundreds of other retailers. If you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
Join Barclays as a Data developer where you will be required to help improve the process automation of a large-scale programme of loan securitisations. The role requires a good understanding of financial concepts and the ability to think critically. As a multi disciplined team you will be expected to contribute to coding, system design, database design, documentation and testing of the features you develop. The ability to find answers through reading documentation, code analysis, data analysis and discussion with non-technical users is desirable for this role. Day-to-day you will be discussing JIRA details with the technical and/or product lead, committing code and unit tests, writing and executing system test plans and collating test data for review with a business user. You will need to respond to queries from our business users on the features you support and propose solutions to any issues which arise. To be successful as a Data Developer, you should have experience with: T-SQL Relational database design Data analysis Some other highly valued skills may include C# ETL, Test planning Business Analysis Finance knowledge You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in Glasgow. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
15/06/2026
Full time
Join Barclays as a Data developer where you will be required to help improve the process automation of a large-scale programme of loan securitisations. The role requires a good understanding of financial concepts and the ability to think critically. As a multi disciplined team you will be expected to contribute to coding, system design, database design, documentation and testing of the features you develop. The ability to find answers through reading documentation, code analysis, data analysis and discussion with non-technical users is desirable for this role. Day-to-day you will be discussing JIRA details with the technical and/or product lead, committing code and unit tests, writing and executing system test plans and collating test data for review with a business user. You will need to respond to queries from our business users on the features you support and propose solutions to any issues which arise. To be successful as a Data Developer, you should have experience with: T-SQL Relational database design Data analysis Some other highly valued skills may include C# ETL, Test planning Business Analysis Finance knowledge You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in Glasgow. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Job Description About our Marketplace Enablement Org and User Dialogue Team Within Marketplace Enablement, we build the technology that helps candidates and recruiters find the right match. Our teams deliver data products, search and recommendations, and intelligent user dialogue capabilities using modern engineering practices, AI and cloud-native technology. Within this org, our User Dialogue team, are building the next generation of conversational and agentic AI experiences. This includes intelligent candidate engagement, personalised outreach, messaging journeys, and AI powered systems that support users through complex recruitment journeys. By joining this team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. The Role We are recruiting for a Staff Software Engineer (AI) to help design, build and evolve production grade agentic AI systems. This is a strategic, hands on engineering leadership role focused on integrating Large Language Models into scalable, secure, reliable and observable architectures. This is an individual contributor leadership role with no direct line management responsibility. You will help move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI powered systems. Success in this role will depend as much on influence and communication as on technical depth. You will need to create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions. Responsibilities Design, architect and deliver agentic, LLM powered systems in AWS, ensuring production readiness, scalability, reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long term platform strategy. Define and drive engineering standards, reusable patterns, tools and best practices for building responsible, consistent and scalable AI systems. Lead large scale implementation and deployment, ensuring excellence across testing, monitoring, evaluation, guardrails and operational support, while clearly communicating architectural decisions and mentoring engineers to raise overall engineering quality. Qualifications Strong Staff level software engineering background with expertise in Python and at least one of Java, TypeScript or .NET, and a proven track record delivering production grade systems. Experience designing, building and operating distributed systems on AWS (or similar cloud platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation for LLM powered systems. Strong communication and influencing skills, with experience mentoring engineers and driving high standards across teams while engaging both technical and non technical stakeholders. Additional Information We're a community here that cares as much about your life outside work as how you feel when you're with us. Because your job shouldn't take over your life, it should enrich it. Here are some of the benefits we offer: 29 days holiday allowance + bank holidays Private medical and dental healthcare Matching pension contribution of 4 or 5% (after 3 years of service up to 10%) 24/7 Employee Assistance Programme Life Assurance Cover Cycle to work scheme Hybrid working model (3 days working from the office) Volunteering days and you can bring your dog to the office on Mondays and Fridays! Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. As a global business we further our DEI and sustainability progress by working with national and international bodies and are proud to have been recognised for our work - both locally and internationally, including: Armed Forces Covenant: Silver Award, Employer Recognition Scheme EcoVadis: Bronze Award Fertility Friendly Employer, accredited by Fertility Matters at Work RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024 Stonewall: Gold Award Stonewall: Top 100 Workplace Equality Index (85)
15/06/2026
Full time
Job Description About our Marketplace Enablement Org and User Dialogue Team Within Marketplace Enablement, we build the technology that helps candidates and recruiters find the right match. Our teams deliver data products, search and recommendations, and intelligent user dialogue capabilities using modern engineering practices, AI and cloud-native technology. Within this org, our User Dialogue team, are building the next generation of conversational and agentic AI experiences. This includes intelligent candidate engagement, personalised outreach, messaging journeys, and AI powered systems that support users through complex recruitment journeys. By joining this team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. The Role We are recruiting for a Staff Software Engineer (AI) to help design, build and evolve production grade agentic AI systems. This is a strategic, hands on engineering leadership role focused on integrating Large Language Models into scalable, secure, reliable and observable architectures. This is an individual contributor leadership role with no direct line management responsibility. You will help move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI powered systems. Success in this role will depend as much on influence and communication as on technical depth. You will need to create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions. Responsibilities Design, architect and deliver agentic, LLM powered systems in AWS, ensuring production readiness, scalability, reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long term platform strategy. Define and drive engineering standards, reusable patterns, tools and best practices for building responsible, consistent and scalable AI systems. Lead large scale implementation and deployment, ensuring excellence across testing, monitoring, evaluation, guardrails and operational support, while clearly communicating architectural decisions and mentoring engineers to raise overall engineering quality. Qualifications Strong Staff level software engineering background with expertise in Python and at least one of Java, TypeScript or .NET, and a proven track record delivering production grade systems. Experience designing, building and operating distributed systems on AWS (or similar cloud platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation for LLM powered systems. Strong communication and influencing skills, with experience mentoring engineers and driving high standards across teams while engaging both technical and non technical stakeholders. Additional Information We're a community here that cares as much about your life outside work as how you feel when you're with us. Because your job shouldn't take over your life, it should enrich it. Here are some of the benefits we offer: 29 days holiday allowance + bank holidays Private medical and dental healthcare Matching pension contribution of 4 or 5% (after 3 years of service up to 10%) 24/7 Employee Assistance Programme Life Assurance Cover Cycle to work scheme Hybrid working model (3 days working from the office) Volunteering days and you can bring your dog to the office on Mondays and Fridays! Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. As a global business we further our DEI and sustainability progress by working with national and international bodies and are proud to have been recognised for our work - both locally and internationally, including: Armed Forces Covenant: Silver Award, Employer Recognition Scheme EcoVadis: Bronze Award Fertility Friendly Employer, accredited by Fertility Matters at Work RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024 Stonewall: Gold Award Stonewall: Top 100 Workplace Equality Index (85)
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 Advances in AI, data and computational sciences are transforming drug discovery and development - and we're at the forefront. As part of Roche's Computational Sciences Center of Excellence, our Data and Digital Catalyst organisation modernises and connects scientific and data ecosystems across Research and Early Development. Within our Solutions team in Welwyn, you'll build robust, scalable applications, agents and data pipelines that empower scientists, enable AI/ML, and accelerate the development of life-changing medicines. The Opportunity Deliver technical excellence by building robust scientific software solutions, data flows, and pipelines across key domains including Research Biology, Drug Discovery, and Translational Medicine. Innovate with impact by applying Open Source, Cloud-First, API-First, and AI-First methodologies to complex problem-solving. Drive continuous growth by sharpening your software engineering skills and building scalable data ecosystems using microservices, event-driven design, and layered architecture. Collaborate across disciplines by working closely with scientists, Data Engineers, Product Leaders, and Tech/ML Ops to ensure seamless interoperability and system integration. Enable advanced analytics by integrating diverse datasets to power AI/ML use cases, search functionality, and data visualization. Who you are You are passionate about building scalable, reliable systems that unlock the potential of scientific data. You thrive at the intersection of engineering and science, and you bring both technical depth and collaborative energy to everything you do. A degree in Computer Science or similar technical field with experience in software engineering Full stack development experience - front end and/or back end Exposure to databases, APIs and cloud-native architectures A track record of designing reliable, scalable, performant and secure data applications Strong communication skills and a passion for technical and product excellence Preferred Domain knowledge in biology, chemistry, drug discovery or translational medicine Experience with AI/ML integration and model deployment Passion for building usable products to support the needs of the users Apply now and help build the foundations that accelerate science and deliver better medicines for patients worldwide. Who we are A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together. 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 recognise 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.
15/06/2026
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 Advances in AI, data and computational sciences are transforming drug discovery and development - and we're at the forefront. As part of Roche's Computational Sciences Center of Excellence, our Data and Digital Catalyst organisation modernises and connects scientific and data ecosystems across Research and Early Development. Within our Solutions team in Welwyn, you'll build robust, scalable applications, agents and data pipelines that empower scientists, enable AI/ML, and accelerate the development of life-changing medicines. The Opportunity Deliver technical excellence by building robust scientific software solutions, data flows, and pipelines across key domains including Research Biology, Drug Discovery, and Translational Medicine. Innovate with impact by applying Open Source, Cloud-First, API-First, and AI-First methodologies to complex problem-solving. Drive continuous growth by sharpening your software engineering skills and building scalable data ecosystems using microservices, event-driven design, and layered architecture. Collaborate across disciplines by working closely with scientists, Data Engineers, Product Leaders, and Tech/ML Ops to ensure seamless interoperability and system integration. Enable advanced analytics by integrating diverse datasets to power AI/ML use cases, search functionality, and data visualization. Who you are You are passionate about building scalable, reliable systems that unlock the potential of scientific data. You thrive at the intersection of engineering and science, and you bring both technical depth and collaborative energy to everything you do. A degree in Computer Science or similar technical field with experience in software engineering Full stack development experience - front end and/or back end Exposure to databases, APIs and cloud-native architectures A track record of designing reliable, scalable, performant and secure data applications Strong communication skills and a passion for technical and product excellence Preferred Domain knowledge in biology, chemistry, drug discovery or translational medicine Experience with AI/ML integration and model deployment Passion for building usable products to support the needs of the users Apply now and help build the foundations that accelerate science and deliver better medicines for patients worldwide. Who we are A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together. 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 recognise 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.
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
15/06/2026
Full time
Senior Data Scientist Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco's growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift Demonstrated ability to lead cross-functional teams and mentor junior practitioners Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a competitive, people-first benefits package designed to support every aspect of your life: Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.
15/06/2026
Full time
Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.
User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.
15/06/2026
Full time
User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.
User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.
15/06/2026
Full time
User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.
Job Title Technical Product Owner (AI/ML Platform) Location London Corporate Title Vice President Overview As the Technical Product Owner for the AI/ML Platform, you will own the vision, roadmap, and delivery of the core engineering and MLOps capabilities that empower our data scientists and developers. You will be the crucial link between the advanced needs of our AI/ML practitioners and the platform engineering teams that build the foundational tools. This role requires a deep technical understanding of the machine learning lifecycle and the ability to translate architectural and data science requirements into a clear, actionable product backlog. Your primary objective is to maximize the velocity, efficiency, and scalability of how AI/ML models are built, deployed, and managed in Credit Risk. What we'll offer you Hybrid working - we understand employee expectations and preferences are shifting. Competitive salary and non-contributory pension. 30 days holiday plus bank holidays, with option to purchase additional days. Life assurance and private healthcare for you and your family. Flexible benefits including retail discounts, Bike4Work scheme and gym benefits. Opportunity to support a wide ranging CSR programme and 2 days volunteering leave per year. Key Responsibilities Define and communicate a clear product vision and roadmap for the AI/ML platform, focusing on technical capabilities such as data pipelines, feature stores, model serving infrastructure, and monitoring frameworks. Create, maintain, and prioritise the product backlog with focus on platform features, architectural enhancements, and developer tooling. Translate complex technical requirements from data scientists and engineers into well defined epics, user stories, and API contracts. Act as the primary technical interface for the platform's users (data scientists, ML engineers, application developers). Partner closely with tech leads and architects to make key design decisions, ensuring scalability, robustness and alignment with enterprise technology standards. Make decisive priority calls balancing new data science capabilities, technical debt reduction, system performance improvement and strategic business initiatives. Own release of new platform features, APIs, and tools. Drive adoption by creating documentation, running demos, and providing support for technical practitioners. Skills & Experience Proven experience as a Technical Product Owner, Platform Product Manager, or senior engineering/architecture role with strong product instincts. Deep technical understanding of the end to end AI/ML lifecycle and associated engineering challenges (MLOps, CI/CD for models, data engineering). Experience working directly with cloud platforms (GCP, AWS, Azure) and containerisation technologies (Docker, Kubernetes). Strong background in software engineering, comfortable discussing APIs, microservices architecture, data schemas, and infrastructure. Proven ability to work in an Agile environment with engineering teams to define and deliver technical products. Excellent communication skills, with ability to articulate complex technical trade offs and decisions to both technical and non technical stakeholders. How we'll support you Training and development to help you excel in your career. A culture of continuous learning to aid progression. A range of flexible benefits you can tailor to suit your needs. Equal Opportunities We welcome applications from all people and promote a positive, fair and inclusive work environment. We value diversity and, as an equal opportunity employer, we make reasonable adjustments for those with a disability (e.g., screen readers, assistive hearing devices, adapted keyboards). If you have a disability, health condition or require adjustments during the application process, please contact our Adjustments Concierge by email.
15/06/2026
Full time
Job Title Technical Product Owner (AI/ML Platform) Location London Corporate Title Vice President Overview As the Technical Product Owner for the AI/ML Platform, you will own the vision, roadmap, and delivery of the core engineering and MLOps capabilities that empower our data scientists and developers. You will be the crucial link between the advanced needs of our AI/ML practitioners and the platform engineering teams that build the foundational tools. This role requires a deep technical understanding of the machine learning lifecycle and the ability to translate architectural and data science requirements into a clear, actionable product backlog. Your primary objective is to maximize the velocity, efficiency, and scalability of how AI/ML models are built, deployed, and managed in Credit Risk. What we'll offer you Hybrid working - we understand employee expectations and preferences are shifting. Competitive salary and non-contributory pension. 30 days holiday plus bank holidays, with option to purchase additional days. Life assurance and private healthcare for you and your family. Flexible benefits including retail discounts, Bike4Work scheme and gym benefits. Opportunity to support a wide ranging CSR programme and 2 days volunteering leave per year. Key Responsibilities Define and communicate a clear product vision and roadmap for the AI/ML platform, focusing on technical capabilities such as data pipelines, feature stores, model serving infrastructure, and monitoring frameworks. Create, maintain, and prioritise the product backlog with focus on platform features, architectural enhancements, and developer tooling. Translate complex technical requirements from data scientists and engineers into well defined epics, user stories, and API contracts. Act as the primary technical interface for the platform's users (data scientists, ML engineers, application developers). Partner closely with tech leads and architects to make key design decisions, ensuring scalability, robustness and alignment with enterprise technology standards. Make decisive priority calls balancing new data science capabilities, technical debt reduction, system performance improvement and strategic business initiatives. Own release of new platform features, APIs, and tools. Drive adoption by creating documentation, running demos, and providing support for technical practitioners. Skills & Experience Proven experience as a Technical Product Owner, Platform Product Manager, or senior engineering/architecture role with strong product instincts. Deep technical understanding of the end to end AI/ML lifecycle and associated engineering challenges (MLOps, CI/CD for models, data engineering). Experience working directly with cloud platforms (GCP, AWS, Azure) and containerisation technologies (Docker, Kubernetes). Strong background in software engineering, comfortable discussing APIs, microservices architecture, data schemas, and infrastructure. Proven ability to work in an Agile environment with engineering teams to define and deliver technical products. Excellent communication skills, with ability to articulate complex technical trade offs and decisions to both technical and non technical stakeholders. How we'll support you Training and development to help you excel in your career. A culture of continuous learning to aid progression. A range of flexible benefits you can tailor to suit your needs. Equal Opportunities We welcome applications from all people and promote a positive, fair and inclusive work environment. We value diversity and, as an equal opportunity employer, we make reasonable adjustments for those with a disability (e.g., screen readers, assistive hearing devices, adapted keyboards). If you have a disability, health condition or require adjustments during the application process, please contact our Adjustments Concierge by email.
The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid 2027. Our customers range from foundation model labs to global pharma. We are hiring a founding software engineer to lead the team that builds Substrate's operational software, the system that turns scientific intent into executed lab work, captures every run as structured data, and routes that data back to model training, customer pipelines, and Substrate's own data factory. This is a player coach role. You will write the first production code for the orchestrator, the customer interface, and the resource management layer, and you will recruit and lead the engineers who come after. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co founder, leading the Intelligence Software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab, and we are not a CRO. We are an autonomous lab platform with closed loop integration available as one operating mode for foundation model partners. The role You will own the operational software product end to end. The product has five surfaces. The loop orchestrator is the heart of it: two agentic translation layers that convert scientific intent (model output, natural language, or structured input) into executable, automated workflows, and convert workflow outputs and run metadata back into destination specific formats for delivery to foundation models, LIMS, customer data lakes, and ELNs. Resource management will track consumables, reagents, and labware, and maintain a live representation of the physical lab so that physical inputs can be mapped onto workflow outputs. The customer interface is API first with a web front end. The workflow orchestrator sits above Automata's LINQ scheduler and manages capacity allocation across customers, verticals, and device groups. The pricing and forecast engine calculates predicted and actual platform inputs and translates them into customer cost. You will write the first production code, set the architecture, set the engineering culture, and grow the team. You will have the opportunity to build a team and help set the culture within the company. You will work closely with Alexey on the boundary between our operational software and our intelligence software (the AI Scientist and AI Assays products), and with the founding biology team on the orchestrator behaviour on the lab side. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the team. Lock the architecture for the orchestrator and the customer interface. Decide the build vs buy boundary against LINQ. Ship the first end to end thin slice: a simple workflow submitted via the customer API, executable on a workcell, with run metadata captured and returned. Set the engineering culture: code review, deployment, on call, observability. Pick the languages, frameworks, and tooling we will live with. PHASE 1: SEP TO DEC 2026 Stand up the resource management and digital twin services. Wire them into the protein engineering workflows being onboarded by the founding biology team. Hire the first software engineer alongside you. Define the role, run the process, close the offer. Ship the first version of the pricing and forecast engine. Connect it to the customer interface so that customers see predicted cost before they submit. PHASE 2: JAN TO MAR 2027 Ramp up hiring. Move from solo building to leading a larger team. Bring the workflow orchestrator above LINQ into production. Manage capacity allocation across the protein engineering vertical and the early functional genomics work. Harden the loop orchestrator for the closed loop foundation model partners coming online from mid 2027. Who you are You are an experienced software engineer who has shipped production systems at depth. You have led a small team or are ready to. You write good code at speed, you have strong opinions about architecture, and you have learned (often the hard way) when to defer those opinions. You have worked at the boundary where software meets physical reality (lab automation, robotics, manufacturing, logistics, scientific instruments, energy) and you understand that the interesting failure modes live there. You are excited by the prospect of writing the first lines of code for a system that will run a real lab. You are pragmatic about agentic systems and foundation models; you have used them in production rather than read about them in posts. You want a player coach role specifically. You enjoy interviewing, hiring, mentoring, and building culture, and you do not want to be only an individual contributor or only a manager. You care deeply about building a world class team. You are comfortable with early stage ambiguity, with making decisions on partial information, and with revisiting them when better information arrives. MUST HAVE Five or more years of professional software engineering experience, with at least one leading or co leading a small team. Production experience with backend systems, distributed services, and either workflow orchestration or scheduling systems. Strong working comfort with at least Python, and willingness to learn the necessary tools. Track record of designing APIs that other engineers have actually used. Direct experience of the software to hardware boundary, in lab automation, robotics, manufacturing, or an analogous domain. NICE TO HAVE Experience of an early stage founding engineer role at a venture backed company. Familiarity with foundation model APIs, agentic patterns, and the practical realities of putting them in production. Background in or near scientific computing, bioinformatics, or LIMS / ELN systems. Why this is unusual Most software engineering roles at venture backed companies are either a pure software product or a thin software layer on top of someone else's infrastructure. This is neither. You will be writing the software that decides what physical experiments run, when, on which workcell, with which reagents, for which customer, and you will be doing that inside a wet lab business with biology and engineering colleagues at the same table. Operational software is also one of three product surfaces being built simultaneously. Alexey is leading the efforts on intelligence software (the AI Scientist and AI Assays products). The biology team is building the assay portfolio. Your work has to integrate cleanly with both, and you will spend real time at the boundary. Some engineers find this energising; some find it distracting. Worth knowing in advance which one you are. Compensation and equity We pay competitively against the London market for senior software engineers at venture backed companies, calibrated to seniority and to the specific scope of this role. We will discuss numbers with serious candidates after first conversations. Equity is meaningful, with vesting on the standard four year schedule and a one year cliff. We can talk through the philosophy and the maths in detail when we meet. How we work Working pattern is open. We will design around the strongest candidate, with a bias towards willingness to spend some in person time at our King's Cross site, particularly during the early phases while the team is forming and the architecture is being set. Most of the founding team are in the office most days. 30 days annual leave. A learning budget you can use for conferences, courses, books, and time. The founding team operates on a weekly cadence with a Monday planning meeting and a Friday close, and a quarterly off site. We are direct with each other, we write things down, and we expect to be challenged. The team you will join You will report to Oli Hoy, co founder, who leads our autonomous lab build out and is also responsible for the broader operations of the company. You will work most closely with Alexey Morgunov on the intelligence software boundary, and with the founding biology team on the orchestrator behaviour at the lab side. How to apply Apply via Ashby with whatever you think shows your work best: a CV, a short email, links to GitHub or to systems you have built, a piece of writing you are proud of. We read everything that comes in. Our process is four stages. An initial conversation with Oli to understand what you want from the role and what we want from it. Two technical sessions with our external technical advisor: an architecture deep dive on how you would build the operational software, and a session on how you would build and lead the engineering team. Finally, an in person founder team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly two to three weeks end to end. If you are not sure whether you are a fit, send a note anyway. The most useful conversations we have had so far have been with people who were not sure. . click apply for full job details
15/06/2026
Full time
The opportunity Substrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid 2027. Our customers range from foundation model labs to global pharma. We are hiring a founding software engineer to lead the team that builds Substrate's operational software, the system that turns scientific intent into executed lab work, captures every run as structured data, and routes that data back to model training, customer pipelines, and Substrate's own data factory. This is a player coach role. You will write the first production code for the orchestrator, the customer interface, and the resource management layer, and you will recruit and lead the engineers who come after. About Substrate Substrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co founder, leading the Intelligence Software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab, and we are not a CRO. We are an autonomous lab platform with closed loop integration available as one operating mode for foundation model partners. The role You will own the operational software product end to end. The product has five surfaces. The loop orchestrator is the heart of it: two agentic translation layers that convert scientific intent (model output, natural language, or structured input) into executable, automated workflows, and convert workflow outputs and run metadata back into destination specific formats for delivery to foundation models, LIMS, customer data lakes, and ELNs. Resource management will track consumables, reagents, and labware, and maintain a live representation of the physical lab so that physical inputs can be mapped onto workflow outputs. The customer interface is API first with a web front end. The workflow orchestrator sits above Automata's LINQ scheduler and manages capacity allocation across customers, verticals, and device groups. The pricing and forecast engine calculates predicted and actual platform inputs and translates them into customer cost. You will write the first production code, set the architecture, set the engineering culture, and grow the team. You will have the opportunity to build a team and help set the culture within the company. You will work closely with Alexey on the boundary between our operational software and our intelligence software (the AI Scientist and AI Assays products), and with the founding biology team on the orchestrator behaviour on the lab side. What you will do in your first twelve months PHASE 0: NOW TO AUG 2026 Land in the team. Lock the architecture for the orchestrator and the customer interface. Decide the build vs buy boundary against LINQ. Ship the first end to end thin slice: a simple workflow submitted via the customer API, executable on a workcell, with run metadata captured and returned. Set the engineering culture: code review, deployment, on call, observability. Pick the languages, frameworks, and tooling we will live with. PHASE 1: SEP TO DEC 2026 Stand up the resource management and digital twin services. Wire them into the protein engineering workflows being onboarded by the founding biology team. Hire the first software engineer alongside you. Define the role, run the process, close the offer. Ship the first version of the pricing and forecast engine. Connect it to the customer interface so that customers see predicted cost before they submit. PHASE 2: JAN TO MAR 2027 Ramp up hiring. Move from solo building to leading a larger team. Bring the workflow orchestrator above LINQ into production. Manage capacity allocation across the protein engineering vertical and the early functional genomics work. Harden the loop orchestrator for the closed loop foundation model partners coming online from mid 2027. Who you are You are an experienced software engineer who has shipped production systems at depth. You have led a small team or are ready to. You write good code at speed, you have strong opinions about architecture, and you have learned (often the hard way) when to defer those opinions. You have worked at the boundary where software meets physical reality (lab automation, robotics, manufacturing, logistics, scientific instruments, energy) and you understand that the interesting failure modes live there. You are excited by the prospect of writing the first lines of code for a system that will run a real lab. You are pragmatic about agentic systems and foundation models; you have used them in production rather than read about them in posts. You want a player coach role specifically. You enjoy interviewing, hiring, mentoring, and building culture, and you do not want to be only an individual contributor or only a manager. You care deeply about building a world class team. You are comfortable with early stage ambiguity, with making decisions on partial information, and with revisiting them when better information arrives. MUST HAVE Five or more years of professional software engineering experience, with at least one leading or co leading a small team. Production experience with backend systems, distributed services, and either workflow orchestration or scheduling systems. Strong working comfort with at least Python, and willingness to learn the necessary tools. Track record of designing APIs that other engineers have actually used. Direct experience of the software to hardware boundary, in lab automation, robotics, manufacturing, or an analogous domain. NICE TO HAVE Experience of an early stage founding engineer role at a venture backed company. Familiarity with foundation model APIs, agentic patterns, and the practical realities of putting them in production. Background in or near scientific computing, bioinformatics, or LIMS / ELN systems. Why this is unusual Most software engineering roles at venture backed companies are either a pure software product or a thin software layer on top of someone else's infrastructure. This is neither. You will be writing the software that decides what physical experiments run, when, on which workcell, with which reagents, for which customer, and you will be doing that inside a wet lab business with biology and engineering colleagues at the same table. Operational software is also one of three product surfaces being built simultaneously. Alexey is leading the efforts on intelligence software (the AI Scientist and AI Assays products). The biology team is building the assay portfolio. Your work has to integrate cleanly with both, and you will spend real time at the boundary. Some engineers find this energising; some find it distracting. Worth knowing in advance which one you are. Compensation and equity We pay competitively against the London market for senior software engineers at venture backed companies, calibrated to seniority and to the specific scope of this role. We will discuss numbers with serious candidates after first conversations. Equity is meaningful, with vesting on the standard four year schedule and a one year cliff. We can talk through the philosophy and the maths in detail when we meet. How we work Working pattern is open. We will design around the strongest candidate, with a bias towards willingness to spend some in person time at our King's Cross site, particularly during the early phases while the team is forming and the architecture is being set. Most of the founding team are in the office most days. 30 days annual leave. A learning budget you can use for conferences, courses, books, and time. The founding team operates on a weekly cadence with a Monday planning meeting and a Friday close, and a quarterly off site. We are direct with each other, we write things down, and we expect to be challenged. The team you will join You will report to Oli Hoy, co founder, who leads our autonomous lab build out and is also responsible for the broader operations of the company. You will work most closely with Alexey Morgunov on the intelligence software boundary, and with the founding biology team on the orchestrator behaviour at the lab side. How to apply Apply via Ashby with whatever you think shows your work best: a CV, a short email, links to GitHub or to systems you have built, a piece of writing you are proud of. We read everything that comes in. Our process is four stages. An initial conversation with Oli to understand what you want from the role and what we want from it. Two technical sessions with our external technical advisor: an architecture deep dive on how you would build the operational software, and a session on how you would build and lead the engineering team. Finally, an in person founder team session covering scope, terms, and any final questions. We aim to move fast on candidates we are excited about; expect roughly two to three weeks end to end. If you are not sure whether you are a fit, send a note anyway. The most useful conversations we have had so far have been with people who were not sure. . click apply for full job details
Description Join us at Amazon as we reinvent shopping and search again! We're not just talking about improving the existing Amazon shopping experiences, we're building a brand-new world where shopping is effortless and intuitive through the power of generative AI. Leveraging state-of-the-art Large Language Models and generative AI, we're creating a live, two-way natural language conversational shopping and search experiences that are fast, helpful and trustworthy. As people turn to Amazon for deeper insights and understanding about products earlier and earlier in their shopping journeys, we're stepping up to the challenge by synthesizing complex information and multiple perspectives so customers can explore Amazon's vast catalog to find exactly the products that solve their particular needs. Imagine having a back and forth conversation with an AI assistant helping you to articulate a problem you're trying to solve, effortlessly answering your product questions and giving you trustworthy advice and recommendations for what to buy. Also imagine a world where this same AI assistant reduces your mental load by proactively predicting and then fulfilling your shopping needs without you needing to interfere, thus saving you time and money along the way. We are building such an AI assistant to become the digital manifestation of the helpful salesperson that asks customers what they need, helps them navigate the store, waits unobtrusively while they look over the shelves, and helps them find complementary goods. What does economics have to teach this salesperson? Can we embed lessons from the behavioral literature to help customers? This is an opportunity to embed economic expertise into large scale generative models. This is just the beginning, and the future is yours to shape. We're searching for pioneers who are passionate about using technology and innovation to fundamentally change how customers shop, and who are ready to make a lasting impact on the industry and even disrupt how Amazon serves customers. You'll be a senior technical leader working with talented scientists, economists, engineers, and product leaders to innovate on behalf of our customers and help turn generative AI shopping into Amazon's next business pillar. Basic Qualifications Experience managing a team of high calibre Software Engineers developing complex, world class, scalable software systems that have been successfully delivered to customers Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Experience in leading the definition and development of multi tier web services Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product and program management teams Preferred Qualifications Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment Experience developing, deploying and managing AI products at scale Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
15/06/2026
Full time
Description Join us at Amazon as we reinvent shopping and search again! We're not just talking about improving the existing Amazon shopping experiences, we're building a brand-new world where shopping is effortless and intuitive through the power of generative AI. Leveraging state-of-the-art Large Language Models and generative AI, we're creating a live, two-way natural language conversational shopping and search experiences that are fast, helpful and trustworthy. As people turn to Amazon for deeper insights and understanding about products earlier and earlier in their shopping journeys, we're stepping up to the challenge by synthesizing complex information and multiple perspectives so customers can explore Amazon's vast catalog to find exactly the products that solve their particular needs. Imagine having a back and forth conversation with an AI assistant helping you to articulate a problem you're trying to solve, effortlessly answering your product questions and giving you trustworthy advice and recommendations for what to buy. Also imagine a world where this same AI assistant reduces your mental load by proactively predicting and then fulfilling your shopping needs without you needing to interfere, thus saving you time and money along the way. We are building such an AI assistant to become the digital manifestation of the helpful salesperson that asks customers what they need, helps them navigate the store, waits unobtrusively while they look over the shelves, and helps them find complementary goods. What does economics have to teach this salesperson? Can we embed lessons from the behavioral literature to help customers? This is an opportunity to embed economic expertise into large scale generative models. This is just the beginning, and the future is yours to shape. We're searching for pioneers who are passionate about using technology and innovation to fundamentally change how customers shop, and who are ready to make a lasting impact on the industry and even disrupt how Amazon serves customers. You'll be a senior technical leader working with talented scientists, economists, engineers, and product leaders to innovate on behalf of our customers and help turn generative AI shopping into Amazon's next business pillar. Basic Qualifications Experience managing a team of high calibre Software Engineers developing complex, world class, scalable software systems that have been successfully delivered to customers Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Experience in leading the definition and development of multi tier web services Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product and program management teams Preferred Qualifications Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment Experience developing, deploying and managing AI products at scale Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
United States Digital Space LLC
Welwyn, Hertfordshire
At the company 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 the company, where every voice matters. The Position Advances in AI, data and computational sciences are transforming drug discovery and development - and we're at the forefront. As part of the company's Computational Sciences Center of Excellence, our Data and Digital Catalyst organisation modernises and connects scientific and data ecosystems across Research and Early Development. Within our Solutions team in Welwyn, you'll build robust, scalable applications, agents and data pipelines that empower scientists, enable AI/ML, and accelerate the development of life-changing medicines. The Opportunity Deliver technical excellence by building robust scientific software solutions, data flows, and pipelines across key domains including Research Biology, Drug Discovery, and Translational Medicine. Innovate with impact by applying Open Source, Cloud-First, API-First, and AI-First methodologies to complex problem-solving. Drive continuous growth by sharpening your software engineering skills and building scalable data ecosystems using microservices, event-driven design, and layered architecture. Collaborate across disciplines by working closely with scientists, Data Engineers, Product Leaders, and Tech/ML Ops to ensure seamless interoperability and system integration. Enable advanced analytics by integrating diverse datasets to power AI/ML use cases, search functionality, and data visualization. Who you are A degree in Computer Science or similar technical field with experience in software engineering Full stack development experience - front end and/or back end Exposure to databases, APIs and cloud-native architectures A track record of designing reliable, scalable, performant and secure data applications Strong communication skills and a passion for technical and product excellence Preferred Domain knowledge in biology, chemistry, drug discovery or translational medicine Experience with AI/ML integration and model deployment Passion for building usable products to support the needs of the users Apply now and help build the foundations that accelerate science and deliver better medicines for patients worldwide. Who we are A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together. 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 the company Products Ltd. At the company 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 recognise the importance of flexible working and will review all applicants' requests with care. At the company difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
15/06/2026
Full time
At the company 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 the company, where every voice matters. The Position Advances in AI, data and computational sciences are transforming drug discovery and development - and we're at the forefront. As part of the company's Computational Sciences Center of Excellence, our Data and Digital Catalyst organisation modernises and connects scientific and data ecosystems across Research and Early Development. Within our Solutions team in Welwyn, you'll build robust, scalable applications, agents and data pipelines that empower scientists, enable AI/ML, and accelerate the development of life-changing medicines. The Opportunity Deliver technical excellence by building robust scientific software solutions, data flows, and pipelines across key domains including Research Biology, Drug Discovery, and Translational Medicine. Innovate with impact by applying Open Source, Cloud-First, API-First, and AI-First methodologies to complex problem-solving. Drive continuous growth by sharpening your software engineering skills and building scalable data ecosystems using microservices, event-driven design, and layered architecture. Collaborate across disciplines by working closely with scientists, Data Engineers, Product Leaders, and Tech/ML Ops to ensure seamless interoperability and system integration. Enable advanced analytics by integrating diverse datasets to power AI/ML use cases, search functionality, and data visualization. Who you are A degree in Computer Science or similar technical field with experience in software engineering Full stack development experience - front end and/or back end Exposure to databases, APIs and cloud-native architectures A track record of designing reliable, scalable, performant and secure data applications Strong communication skills and a passion for technical and product excellence Preferred Domain knowledge in biology, chemistry, drug discovery or translational medicine Experience with AI/ML integration and model deployment Passion for building usable products to support the needs of the users Apply now and help build the foundations that accelerate science and deliver better medicines for patients worldwide. Who we are A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together. 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 the company Products Ltd. At the company 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 recognise the importance of flexible working and will review all applicants' requests with care. At the company difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
Software Engineer - Developer Productivity Location: London, United Kingdom About The Role A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Are you passionate about engineering quality, efficiency, and increasing the impact of engineers around you? Software Engineers at Palantir build software at scale to transform how organizations globally use data. As a Software Engineer on Developer Productivity, you'll identify, develop, and drive investments to improve the velocity and quality of our engineering, as well as bolster the happiness and productivity of other developers. The role spans a spectrum of areas, such as build and software supply-chain systems, platform runtime environments, telemetry relating concurrency, memory/performance optimizations, and monitoring/alerting. Your primary users will be other developers at Palantir. They will be empowered with the software you develop to build capabilities used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters in countries around the world. There will be opportunities to contribute to open source software, including projects maintained by others that we leverage. You'll work autonomously within a community that will support and challenge you as you grow to become a strong technical contributor and engineering leader. The team is hiring for Frontend and Backend engineers. Core Responsibilities We're hiring engineers who are passionate about solving real-world problems and empowering developers to do their work optimally. If you're motivated to develop reliable, performant, scalable systems and tools, here are some examples of the types of work you'd get to do: Define and build standard practices for how services are operated and observed throughout their deployment Build libraries and tooling for defining service APIs and the RPC interactions between microservices; like the conjure ecosystem Unify frontend build and CI infrastructure across all of Palantir Help developers understand and adhere to development practices by building great tools and development processes Push Palantir to the cutting edge of software supply chain security Technologies We Use A variety of languages, including Java, Go, and TypeScript Open-source databases like Cassandra, Lucene, Elasticsearch Open-source libraries/frameworks like GraphQL, Undertow, Jackson, and Log4j Industry-standard build tooling, including Gradle, Webpack, CircleCI, and GitHub What We Value Expertise and depth of understanding of a technology or problem space. Embracing, centralizing, and abstracting complexity away from our users in order to expose simple, powerful APIs for consumers that solve otherwise incredibly complex technical problems. Ability to understand how technical decisions impact individuals who will use what you're building and drive to super-power those people Empathy for developer and operator workflows and productivity Awareness of recent industry practices and open source advancements What We Require 2+ years of software engineering experience, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, JavaScript/TypeScript, or similar languages Great problem solving skills with ability to dive into and navigate existing complex systems Familiarity with data structures, storage systems, cloud infrastructure, and other technical tools Strong written and verbal communication skills
15/06/2026
Full time
Software Engineer - Developer Productivity Location: London, United Kingdom About The Role A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Are you passionate about engineering quality, efficiency, and increasing the impact of engineers around you? Software Engineers at Palantir build software at scale to transform how organizations globally use data. As a Software Engineer on Developer Productivity, you'll identify, develop, and drive investments to improve the velocity and quality of our engineering, as well as bolster the happiness and productivity of other developers. The role spans a spectrum of areas, such as build and software supply-chain systems, platform runtime environments, telemetry relating concurrency, memory/performance optimizations, and monitoring/alerting. Your primary users will be other developers at Palantir. They will be empowered with the software you develop to build capabilities used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters in countries around the world. There will be opportunities to contribute to open source software, including projects maintained by others that we leverage. You'll work autonomously within a community that will support and challenge you as you grow to become a strong technical contributor and engineering leader. The team is hiring for Frontend and Backend engineers. Core Responsibilities We're hiring engineers who are passionate about solving real-world problems and empowering developers to do their work optimally. If you're motivated to develop reliable, performant, scalable systems and tools, here are some examples of the types of work you'd get to do: Define and build standard practices for how services are operated and observed throughout their deployment Build libraries and tooling for defining service APIs and the RPC interactions between microservices; like the conjure ecosystem Unify frontend build and CI infrastructure across all of Palantir Help developers understand and adhere to development practices by building great tools and development processes Push Palantir to the cutting edge of software supply chain security Technologies We Use A variety of languages, including Java, Go, and TypeScript Open-source databases like Cassandra, Lucene, Elasticsearch Open-source libraries/frameworks like GraphQL, Undertow, Jackson, and Log4j Industry-standard build tooling, including Gradle, Webpack, CircleCI, and GitHub What We Value Expertise and depth of understanding of a technology or problem space. Embracing, centralizing, and abstracting complexity away from our users in order to expose simple, powerful APIs for consumers that solve otherwise incredibly complex technical problems. Ability to understand how technical decisions impact individuals who will use what you're building and drive to super-power those people Empathy for developer and operator workflows and productivity Awareness of recent industry practices and open source advancements What We Require 2+ years of software engineering experience, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, JavaScript/TypeScript, or similar languages Great problem solving skills with ability to dive into and navigate existing complex systems Familiarity with data structures, storage systems, cloud infrastructure, and other technical tools Strong written and verbal communication skills
At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting edge advancements meet unparalleled innovation. Digital Defence Security Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges - from protecting people and critical infrastructure to exploring space. We offer a unique surveillance as a service solution that delivers real time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments - whether at sea, on land, in space, or in cyberspace. Become part of a dynamic, multidisciplinary, and mission driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission oriented game changers, delivering the right information at the right time to empower critical decision making. If you're passionate about technology and eager to shape the future - TEKEVER is the place for you. Mission As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that powers our data processing pipelines and machine learning workflows that support our data driven initiatives, as well as supporting the evolution of our Data & AI Platform. You will work at the intersection of data engineering, MLOps, and platform development and ensure that our data & AI infrastructure is robust, scalable and efficient. The ideal candidate will have a strong background in platform engineering, with experience in data science, machine learning and or data engineering. Responsibilities Design and implement scalable data and ML infrastructure using modern cloud and on prem distributed technologies and frameworks. Design, develop and maintain scalable and efficient data pipelines to collect, process and store large volumes of data from various sources. Manage and optimise databases and data warehouses to ensure data integrity, performance and availability. Integrate data from multiple sources, including APIs, databases and external data providers, to create unified datasets for analysis. Develop self service tools that enable stakeholders to extract insights from Data and Machine Learning models. Support the expansion of our Data & AI Platform. Ensure data security, privacy and compliance. Implement data validation and quality assurance processes to ensure the accuracy and consistency of data. Work closely with data scientists, analysts and other stakeholders to understand platform requirements and provide the necessary data infrastructure and support. Implement monitoring, observability and alerting for data and ML systems and optimise for performance, reliability and cost effectiveness. Maintain comprehensive documentation of platform components, APIs and workflows to ensure knowledge sharing and user adoption (e.g. data pipelines, database schemas, Machine Learning systems). Profile and requirements Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field. Preferred location: UK, Portugal, France and/or Spain. Experience: 3+ years of experience in data & ML platform engineering or a similar role. Analytical Skills: Strong analytical and problem solving skills with a focus on delivering scalable and efficient data solutions. Communication: Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non technical stakeholders. Language Requirements: Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages. Attention to Detail: High attention to detail and a commitment to ensuring data quality and accuracy. Adaptability: Ability to work in a fast paced, dynamic environment and manage multiple priorities simultaneously. Technical Skills Proficiency in programming languages such as Python, Go, Java, or Rust. Strong knowledge of containerisation technologies (e.g. Docker) and orchestration systems (e.g. Kubernetes) in production environments. Experience with SQL, database management systems (e.g., MySQL, PostgreSQL, SQL Server), data modelling and schema design. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud. Familiarity with big data technologies (e.g. Spark), data warehousing solutions, data pipeline orchestration (e.g. Airflow), and database systems (SQL and NoSQL). Design and manage MLOps pipelines to support model training, deployment and monitoring at scale. Experience implementing observability stacks and logging pipelines (e.g., Prometheus, Grafana, Loki, ELK). Experience with IaC frameworks (e.g. Ansible, Terraform). Understanding of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc. What we have to offer you At TEKEVER, we offer a comprehensive package designed to reward, support and develop our people. This includes a highly competitive salary with discretionary annual bonus and a company pension contribution match of up to 10%. To support your well being, we provide 25 days annual leave plus Bank Holidays, Private Medical Insurance (with optional family cover), Private Dental care and an Employee Assistance Programme. We are deeply committed to investing in future talent; our scale allows us to provide clear career development opportunities and dedicated initiatives to boost your skill sets, ensuring you remain future ready for the evolving workplace. Furthermore, our team enjoys a flexible hybrid working model, typically three days a week at our core UK sites like Bristol, and access to a bespoke rewards platform featuring a variety of high street discounts and salary sacrifice schemes, including Electric Car, Cycle to Work and Technology options.
15/06/2026
Full time
At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting edge advancements meet unparalleled innovation. Digital Defence Security Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges - from protecting people and critical infrastructure to exploring space. We offer a unique surveillance as a service solution that delivers real time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments - whether at sea, on land, in space, or in cyberspace. Become part of a dynamic, multidisciplinary, and mission driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission oriented game changers, delivering the right information at the right time to empower critical decision making. If you're passionate about technology and eager to shape the future - TEKEVER is the place for you. Mission As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that powers our data processing pipelines and machine learning workflows that support our data driven initiatives, as well as supporting the evolution of our Data & AI Platform. You will work at the intersection of data engineering, MLOps, and platform development and ensure that our data & AI infrastructure is robust, scalable and efficient. The ideal candidate will have a strong background in platform engineering, with experience in data science, machine learning and or data engineering. Responsibilities Design and implement scalable data and ML infrastructure using modern cloud and on prem distributed technologies and frameworks. Design, develop and maintain scalable and efficient data pipelines to collect, process and store large volumes of data from various sources. Manage and optimise databases and data warehouses to ensure data integrity, performance and availability. Integrate data from multiple sources, including APIs, databases and external data providers, to create unified datasets for analysis. Develop self service tools that enable stakeholders to extract insights from Data and Machine Learning models. Support the expansion of our Data & AI Platform. Ensure data security, privacy and compliance. Implement data validation and quality assurance processes to ensure the accuracy and consistency of data. Work closely with data scientists, analysts and other stakeholders to understand platform requirements and provide the necessary data infrastructure and support. Implement monitoring, observability and alerting for data and ML systems and optimise for performance, reliability and cost effectiveness. Maintain comprehensive documentation of platform components, APIs and workflows to ensure knowledge sharing and user adoption (e.g. data pipelines, database schemas, Machine Learning systems). Profile and requirements Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field. Preferred location: UK, Portugal, France and/or Spain. Experience: 3+ years of experience in data & ML platform engineering or a similar role. Analytical Skills: Strong analytical and problem solving skills with a focus on delivering scalable and efficient data solutions. Communication: Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non technical stakeholders. Language Requirements: Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages. Attention to Detail: High attention to detail and a commitment to ensuring data quality and accuracy. Adaptability: Ability to work in a fast paced, dynamic environment and manage multiple priorities simultaneously. Technical Skills Proficiency in programming languages such as Python, Go, Java, or Rust. Strong knowledge of containerisation technologies (e.g. Docker) and orchestration systems (e.g. Kubernetes) in production environments. Experience with SQL, database management systems (e.g., MySQL, PostgreSQL, SQL Server), data modelling and schema design. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud. Familiarity with big data technologies (e.g. Spark), data warehousing solutions, data pipeline orchestration (e.g. Airflow), and database systems (SQL and NoSQL). Design and manage MLOps pipelines to support model training, deployment and monitoring at scale. Experience implementing observability stacks and logging pipelines (e.g., Prometheus, Grafana, Loki, ELK). Experience with IaC frameworks (e.g. Ansible, Terraform). Understanding of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc. What we have to offer you At TEKEVER, we offer a comprehensive package designed to reward, support and develop our people. This includes a highly competitive salary with discretionary annual bonus and a company pension contribution match of up to 10%. To support your well being, we provide 25 days annual leave plus Bank Holidays, Private Medical Insurance (with optional family cover), Private Dental care and an Employee Assistance Programme. We are deeply committed to investing in future talent; our scale allows us to provide clear career development opportunities and dedicated initiatives to boost your skill sets, ensuring you remain future ready for the evolving workplace. Furthermore, our team enjoys a flexible hybrid working model, typically three days a week at our core UK sites like Bristol, and access to a bespoke rewards platform featuring a variety of high street discounts and salary sacrifice schemes, including Electric Car, Cycle to Work and Technology options.
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. What You'll Do: Conduct in-depth analysis of data available to Equifax and its partners. Collaborate with product managers to conduct market research and validate product needs. Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML. Contribute to the creation of business cases for proposed AI solutions. Evaluate the feasibility and potential impact of AI projects. Provide technical guidance and support to junior analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development or projects with multiple deliverables, leveraging business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy What experience you need Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering). Solid experience in data analysis, machine learning, and AI development. Hands-on experience with cloud-based AI platforms and tools. Proficiency in programming languages such as Python and SQL. Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Good communication and presentation and visualisation skills. Strong experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based certifications may be required depending upon region/BU requirements What could set you apart Experience with specific AI techniques, such as neural networks or natural language processing. Knowledge of the financial services industry. Contributions to open-source AI projects. Experience with data visualization tools. Passion for data science, data mining, machine learning and experience with big data architectures and methods A Master's degree in a quantitative field (Statistics, Mathematics, Economics)We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums. Primary Location: GBR-LondonGBR-Leeds-6-Wellington, GBR-Nottingham Function: Function - Data and Analytics Schedule: Full timeAt Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life's pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.Equifax is an Equal Opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, ancestry, age, sex/gender, sexual orientation, gender identity or expression, service in the Armed Forces, protected veteran status, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law. For US Applicants If you'd like more information on your EEO rights under the law, please view our , and . If you need a reasonable accommodation to assist with your job search or applicant for employment, please contact us by sending an email to . In your email, please include a description of the specific accommodation you are requesting and a description of the position for which you are applying. Equifax participates in and (English and Spanish).
15/06/2026
Full time
Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. What You'll Do: Conduct in-depth analysis of data available to Equifax and its partners. Collaborate with product managers to conduct market research and validate product needs. Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML. Contribute to the creation of business cases for proposed AI solutions. Evaluate the feasibility and potential impact of AI projects. Provide technical guidance and support to junior analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development or projects with multiple deliverables, leveraging business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy What experience you need Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering). Solid experience in data analysis, machine learning, and AI development. Hands-on experience with cloud-based AI platforms and tools. Proficiency in programming languages such as Python and SQL. Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Good communication and presentation and visualisation skills. Strong experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based certifications may be required depending upon region/BU requirements What could set you apart Experience with specific AI techniques, such as neural networks or natural language processing. Knowledge of the financial services industry. Contributions to open-source AI projects. Experience with data visualization tools. Passion for data science, data mining, machine learning and experience with big data architectures and methods A Master's degree in a quantitative field (Statistics, Mathematics, Economics)We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums. Primary Location: GBR-LondonGBR-Leeds-6-Wellington, GBR-Nottingham Function: Function - Data and Analytics Schedule: Full timeAt Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life's pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.Equifax is an Equal Opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, ancestry, age, sex/gender, sexual orientation, gender identity or expression, service in the Armed Forces, protected veteran status, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law. For US Applicants If you'd like more information on your EEO rights under the law, please view our , and . If you need a reasonable accommodation to assist with your job search or applicant for employment, please contact us by sending an email to . In your email, please include a description of the specific accommodation you are requesting and a description of the position for which you are applying. Equifax participates in and (English and Spanish).
Overview Bruker is enabling scientists and engineers to make breakthrough post-genomic discoveries and develop new applications that improve the quality of human life. Bruker's high performance scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in post-genomic life science molecular and cell biology research, in applied and biopharma applications, in microscopy and nanoanalysis, as well as in industrial and cleantech research, and next-gen semiconductor metrology in support of AI. Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, clinical phenomics research, proteomics and multiomics, spatial and single-cell biology, functional structural and condensate biology, as well as in clinical microbiology and molecular diagnostics. For more information, please visit. We are seeking an Applications Scientist to support our X ray activities, primarily in HRXRD, XRD, XRR and XRT, in Durham UK. Bruker's Semiconductor X-ray group is the leader in advanced X-ray and other metrology for the silicon and compound semiconductor industries. We offer a comprehensive portfolio of X-ray tools, based on technologies including XRD (X ray diffraction) and HRXRD (High Resolution X Ray Diffraction), XRT (X ray topography), XRR (X ray reflectometry), XRF (X ray fluorescence), and XCD (X ray Critical Dimensions). Responsibilities Provides specialist technical support particularly through demonstrations of product capabilities (hardware and software) but also via sales presentations, customer training and support and qualification of company X-ray products. Assists customers with assessing potential applications of company products to meet process metrology needs via the demo process, presentations and discussions. Works with our customers from before the sale, through demonstration measurements, delivery and installation to specialist user support for applications. Ensures that the product application/solution is functioning according to specifications including source inspection of the tools prior to shipment and following installation. Applications development based on customer requirements to demonstrate feasibility of the application, often requiring rapid demos. Develops and disseminates Best Known Methods. Supports the core technology, engineering and production teams in qualification of new technologies, algorithms, methodologies, software and hardware features. Supports Product Managers in preparing detailed product specifications for the development and implementation of customer applications/solutions. Feeds back customer requirements and interests for hardware and software development. Provides follow-up support to company sales staff and customer service personnel by disseminating technical information on specific applications. Qualifications EDUCATIONAL/EXPERIENCE REQUIREMENTS: Degree in physics, chemistry, material science or engineering (B.Sc. minimum, Masters or higher degree preferred). Fluent in English with experience in technical communication (writing, presenting, discussing, listening). Good knowledge of basic crystallography/crystal structure, interference of waves; knowledge of thermodynamics, kinetics, diffusion, etc.; experience/understanding of deposited electronic layers is an advantage. Experience of metrology and characterisation techniques (preferably hands on work and results analysis). Experience in X ray materials characterisation techniques is an advantage. Experience with problem analysis and troubleshooting techniques. Experience of working in the semiconductor industry and in a fab is an advantage. Experience in reconciling results of similar measurements by different techniques preferred. Good knowledge of statistics and data analysis. Able to understand the problems that our customers are trying to solve, understand the customer's current and future metrology requirements, and recommend new metrology opportunities to Bruker KNOWLEDGE, SKILLS, AND ABILITIES: Positive "can do" attitude, a highly motivated self starter. Critical thinking, problem solving, creative approaches to troubleshooting. Quick learner and keen to learn. Resourceful, proactive, able to take initiative, meticulous attention to detail. Ability to be creative under pressure with tight deadlines. Good organisational skills; able to manage priorities and multiple tasks. Demonstrated oral and written communication skills. Clear communication and description of problems and solutions, with both customers and colleagues (local and overseas). Strong team player as part of a multi disciplinary team focused on achieving shared goals, able to work independently when required. Strong orientation towards meeting customer expectations. Strong customer facing skills, in the creation and delivery of presentations of data and marketing materials and in obtaining customer feedback. Strong interpersonal skills, particularly inter cultural awareness. Ability to interface with internal and external customers and support groups within Bruker. Goal oriented with good track record of achieving targets on time. Good IT literacy; familiarity with file transfer, word processing, spreadsheets, etc. Willing and able to travel both domestically and internationally, sometimes at short notice. Expect up to approx. 20% travel over a year.
15/06/2026
Full time
Overview Bruker is enabling scientists and engineers to make breakthrough post-genomic discoveries and develop new applications that improve the quality of human life. Bruker's high performance scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in post-genomic life science molecular and cell biology research, in applied and biopharma applications, in microscopy and nanoanalysis, as well as in industrial and cleantech research, and next-gen semiconductor metrology in support of AI. Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, clinical phenomics research, proteomics and multiomics, spatial and single-cell biology, functional structural and condensate biology, as well as in clinical microbiology and molecular diagnostics. For more information, please visit. We are seeking an Applications Scientist to support our X ray activities, primarily in HRXRD, XRD, XRR and XRT, in Durham UK. Bruker's Semiconductor X-ray group is the leader in advanced X-ray and other metrology for the silicon and compound semiconductor industries. We offer a comprehensive portfolio of X-ray tools, based on technologies including XRD (X ray diffraction) and HRXRD (High Resolution X Ray Diffraction), XRT (X ray topography), XRR (X ray reflectometry), XRF (X ray fluorescence), and XCD (X ray Critical Dimensions). Responsibilities Provides specialist technical support particularly through demonstrations of product capabilities (hardware and software) but also via sales presentations, customer training and support and qualification of company X-ray products. Assists customers with assessing potential applications of company products to meet process metrology needs via the demo process, presentations and discussions. Works with our customers from before the sale, through demonstration measurements, delivery and installation to specialist user support for applications. Ensures that the product application/solution is functioning according to specifications including source inspection of the tools prior to shipment and following installation. Applications development based on customer requirements to demonstrate feasibility of the application, often requiring rapid demos. Develops and disseminates Best Known Methods. Supports the core technology, engineering and production teams in qualification of new technologies, algorithms, methodologies, software and hardware features. Supports Product Managers in preparing detailed product specifications for the development and implementation of customer applications/solutions. Feeds back customer requirements and interests for hardware and software development. Provides follow-up support to company sales staff and customer service personnel by disseminating technical information on specific applications. Qualifications EDUCATIONAL/EXPERIENCE REQUIREMENTS: Degree in physics, chemistry, material science or engineering (B.Sc. minimum, Masters or higher degree preferred). Fluent in English with experience in technical communication (writing, presenting, discussing, listening). Good knowledge of basic crystallography/crystal structure, interference of waves; knowledge of thermodynamics, kinetics, diffusion, etc.; experience/understanding of deposited electronic layers is an advantage. Experience of metrology and characterisation techniques (preferably hands on work and results analysis). Experience in X ray materials characterisation techniques is an advantage. Experience with problem analysis and troubleshooting techniques. Experience of working in the semiconductor industry and in a fab is an advantage. Experience in reconciling results of similar measurements by different techniques preferred. Good knowledge of statistics and data analysis. Able to understand the problems that our customers are trying to solve, understand the customer's current and future metrology requirements, and recommend new metrology opportunities to Bruker KNOWLEDGE, SKILLS, AND ABILITIES: Positive "can do" attitude, a highly motivated self starter. Critical thinking, problem solving, creative approaches to troubleshooting. Quick learner and keen to learn. Resourceful, proactive, able to take initiative, meticulous attention to detail. Ability to be creative under pressure with tight deadlines. Good organisational skills; able to manage priorities and multiple tasks. Demonstrated oral and written communication skills. Clear communication and description of problems and solutions, with both customers and colleagues (local and overseas). Strong team player as part of a multi disciplinary team focused on achieving shared goals, able to work independently when required. Strong orientation towards meeting customer expectations. Strong customer facing skills, in the creation and delivery of presentations of data and marketing materials and in obtaining customer feedback. Strong interpersonal skills, particularly inter cultural awareness. Ability to interface with internal and external customers and support groups within Bruker. Goal oriented with good track record of achieving targets on time. Good IT literacy; familiarity with file transfer, word processing, spreadsheets, etc. Willing and able to travel both domestically and internationally, sometimes at short notice. Expect up to approx. 20% travel over a year.
Hey! We're Plum, your smart saving and investing app on a mission to help grow money for life. Whether you're stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum's got your back. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI -that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey. The Role At Plum we're looking for engineers who are passionate about both technology and bringing the best product to our customers. To achieve this mission, we need technical leaders who can look beyond individual features to drive the technical strategy that accelerates our user growth and engagement. We are looking for a Staff Engineer for our First & Last Mile group, the team responsible for driving the core user lifecycle, including user Onboarding, Offboarding, Authentication, Engagement, and Subscriptions. We need a technical leader who understands how to bridge the gap between complex backend services, mobile client architecture, and business impact. You will not only have a strong technical background but also the ability to define technical roadmaps, elevate the engineering culture, and architect systems that enable rapid experimentation across our entire stack. What You Will Do Architect and design modular, scalable, and observable systems that support high-volume experimentation and user engagement flows spanning from the mobile client to backend services Drive the Cross-Platform Strategic Vision and roadmap, ensuring our architecture supports high-volume experimentation, rapid iteration and future business needs Promote Continuous Improvement by driving architectural standards, engineering best practices, and operational excellence across multiple teams. Provide guidance to and mentor Senior Engineers and other team members, fostering a culture of technical excellence and career growth. Identify root causes of systemic issues and architectural bottlenecks, determining short-term mitigations and long term strategic resolutions. Work and intervene on the whole life cycle of the software, from high level system design to deployment and post release monitoring. Partner closely with Product Managers and Data Scientists to design technical solutions that unlock new growth opportunities and optimise user funnels. What We Look For Proven track record of technical leadership, preferably in a mobile heavy or full stack capacity Experience designing and architecting systems at scale Deep experience with A/B testing frameworks, experimentation platforms, or data intensive growth loops. High level of pragmatism; you understand when to build for scale and when to optimise for speed of learning. Positive and solution oriented mindset Strong planning and prioritisation skills, with the ability to translate high level business goals into actionable technical strategies across the stack. Ability to share product insight with stakeholders, challenge product decisions with data, and act as a bridge between Engineering, Product, and Data Science. Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational challenges to both technical and non technical executives. Experience in working within a cross functional team and collaborative environment; ability to facilitate technical decision making and resolve conflicts across teams. Self motivated and self managing, with excellent organisational skills and a focus on high leverage work. Comfortable working with both strongly and dynamically typed languages. We value your ability to architect Plum Perks Own part of the company through stock options Private health insurance Annual training budget Plum Premium Referral scheme: earn competitive rewards Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus Team breakfasts and team lunches. 25 days holiday + bank holidays 45 work from anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave 1 paid volunteering day annuallyAnnual team trip: to a surprise destination! A fun, inclusive company culture If this sounds like you, we'd love to hear from you! Thanks, Team Plum Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.
15/06/2026
Full time
Hey! We're Plum, your smart saving and investing app on a mission to help grow money for life. Whether you're stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum's got your back. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI -that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey. The Role At Plum we're looking for engineers who are passionate about both technology and bringing the best product to our customers. To achieve this mission, we need technical leaders who can look beyond individual features to drive the technical strategy that accelerates our user growth and engagement. We are looking for a Staff Engineer for our First & Last Mile group, the team responsible for driving the core user lifecycle, including user Onboarding, Offboarding, Authentication, Engagement, and Subscriptions. We need a technical leader who understands how to bridge the gap between complex backend services, mobile client architecture, and business impact. You will not only have a strong technical background but also the ability to define technical roadmaps, elevate the engineering culture, and architect systems that enable rapid experimentation across our entire stack. What You Will Do Architect and design modular, scalable, and observable systems that support high-volume experimentation and user engagement flows spanning from the mobile client to backend services Drive the Cross-Platform Strategic Vision and roadmap, ensuring our architecture supports high-volume experimentation, rapid iteration and future business needs Promote Continuous Improvement by driving architectural standards, engineering best practices, and operational excellence across multiple teams. Provide guidance to and mentor Senior Engineers and other team members, fostering a culture of technical excellence and career growth. Identify root causes of systemic issues and architectural bottlenecks, determining short-term mitigations and long term strategic resolutions. Work and intervene on the whole life cycle of the software, from high level system design to deployment and post release monitoring. Partner closely with Product Managers and Data Scientists to design technical solutions that unlock new growth opportunities and optimise user funnels. What We Look For Proven track record of technical leadership, preferably in a mobile heavy or full stack capacity Experience designing and architecting systems at scale Deep experience with A/B testing frameworks, experimentation platforms, or data intensive growth loops. High level of pragmatism; you understand when to build for scale and when to optimise for speed of learning. Positive and solution oriented mindset Strong planning and prioritisation skills, with the ability to translate high level business goals into actionable technical strategies across the stack. Ability to share product insight with stakeholders, challenge product decisions with data, and act as a bridge between Engineering, Product, and Data Science. Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational challenges to both technical and non technical executives. Experience in working within a cross functional team and collaborative environment; ability to facilitate technical decision making and resolve conflicts across teams. Self motivated and self managing, with excellent organisational skills and a focus on high leverage work. Comfortable working with both strongly and dynamically typed languages. We value your ability to architect Plum Perks Own part of the company through stock options Private health insurance Annual training budget Plum Premium Referral scheme: earn competitive rewards Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus Team breakfasts and team lunches. 25 days holiday + bank holidays 45 work from anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave 1 paid volunteering day annuallyAnnual team trip: to a surprise destination! A fun, inclusive company culture If this sounds like you, we'd love to hear from you! Thanks, Team Plum Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.
