The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Apr 13, 2026
Full time
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
The Role This Research Engineer role sits within The Alan Turing Institute s Defence and National Security programme and focuses on designing, building and evaluating LLM-driven agentic systems to strengthen the cyber resilience of critical national infrastructure, particularly legacy operational technology and industrial control systems that cannot easily be patched or upgraded. The postholder will develop autonomous hardening and monitoring capabilities, create realistic digital twin and simulation environments, run robust large-scale evaluations, and produce high-quality research software, technical outputs, and publications, while working closely with multidisciplinary experts across AI, cyber security and critical systems. It s a highly applied research role suited to someone excited by combining machine learning, software engineering and cyber security to solve complex real-world resilience challenges with national importance. Your Profile We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will bring hands-on experience building LLM-powered agentic or tool-calling systems, strong scientific software development skills in Python and related frameworks and a track record of delivering practical research or engineering outputs with measurable impact. They ll be comfortable working across disciplines, communicating complex ideas clearly to both technical and non-technical audiences and operating with a high degree of autonomy while contributing positively to a team environment. Experience with network security, cyber-physical systems, virtualisation, OT/ICS environments and research publications would be especially valuable, as would a thoughtful, evidence-led approach and eligibility for Security Check clearance. How You Will Make an Impact Collaboratively design, build and maintain agentic, AI systems and evaluation suites that support CNI cyber resilience and legacy software hardening against known vulnerabilities. Develop virtualisation based digital twin environments and implement techniques for assuring operational continuity in the context of CNI. Develop realistic virtualised environments with legacy OT/ICS hosts, including legacy operating system instances running OT/ICS control software and with representative OT protocol traffic. Contribute to high-quality collaborative research as part of the Turing s CNI resilience mission. Develop CNI-relevant scenarios with clear threat models, operational continuity criteria, and defensible assumptions; document limitations and known failure modes explicitly. Implement reproducible evaluation pipelines: configuration-driven runs, dataset/version management, baseline implementations and auditable reporting outputs. Develop and validate metrics and scoring methods. Carry out analysis that supports credible interpretation of results (failure case analysis, ablations and sensitivity checks). Application Procedure If you are interested in this opportunity, please click the apply button below. It will redirect you to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter. CLOSING DATE FOR APPLICATIONS: SUNDAY 19 APRIL :59 (LONDON, UK BST) Terms and Conditions This post is offered on a full time, fixed-term basis until 31 March 2027. The annual salary is £45,505 - £51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance The successful candidate may be required to undergo a pre-screening check prior to an offer being made. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check whether they are eligible to apply for SC clearance before applying to this role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to advise us how we can assist you.
Apr 13, 2026
Full time
The Role This Research Engineer role sits within The Alan Turing Institute s Defence and National Security programme and focuses on designing, building and evaluating LLM-driven agentic systems to strengthen the cyber resilience of critical national infrastructure, particularly legacy operational technology and industrial control systems that cannot easily be patched or upgraded. The postholder will develop autonomous hardening and monitoring capabilities, create realistic digital twin and simulation environments, run robust large-scale evaluations, and produce high-quality research software, technical outputs, and publications, while working closely with multidisciplinary experts across AI, cyber security and critical systems. It s a highly applied research role suited to someone excited by combining machine learning, software engineering and cyber security to solve complex real-world resilience challenges with national importance. Your Profile We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will bring hands-on experience building LLM-powered agentic or tool-calling systems, strong scientific software development skills in Python and related frameworks and a track record of delivering practical research or engineering outputs with measurable impact. They ll be comfortable working across disciplines, communicating complex ideas clearly to both technical and non-technical audiences and operating with a high degree of autonomy while contributing positively to a team environment. Experience with network security, cyber-physical systems, virtualisation, OT/ICS environments and research publications would be especially valuable, as would a thoughtful, evidence-led approach and eligibility for Security Check clearance. How You Will Make an Impact Collaboratively design, build and maintain agentic, AI systems and evaluation suites that support CNI cyber resilience and legacy software hardening against known vulnerabilities. Develop virtualisation based digital twin environments and implement techniques for assuring operational continuity in the context of CNI. Develop realistic virtualised environments with legacy OT/ICS hosts, including legacy operating system instances running OT/ICS control software and with representative OT protocol traffic. Contribute to high-quality collaborative research as part of the Turing s CNI resilience mission. Develop CNI-relevant scenarios with clear threat models, operational continuity criteria, and defensible assumptions; document limitations and known failure modes explicitly. Implement reproducible evaluation pipelines: configuration-driven runs, dataset/version management, baseline implementations and auditable reporting outputs. Develop and validate metrics and scoring methods. Carry out analysis that supports credible interpretation of results (failure case analysis, ablations and sensitivity checks). Application Procedure If you are interested in this opportunity, please click the apply button below. It will redirect you to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter. CLOSING DATE FOR APPLICATIONS: SUNDAY 19 APRIL :59 (LONDON, UK BST) Terms and Conditions This post is offered on a full time, fixed-term basis until 31 March 2027. The annual salary is £45,505 - £51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance The successful candidate may be required to undergo a pre-screening check prior to an offer being made. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check whether they are eligible to apply for SC clearance before applying to this role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to advise us how we can assist you.
Location(s): Manchester, Cheltenham or Samlesbury Salary: £50,354 to £60,036, including a concessionary payment of £2,758. The final amount depends on your skills and experience. You ll also receive a one-off recruitment bonus of £3,500, split into two payments: £1,750 on arrival and £1,750 after successfully completing probation. In the future, there may be an opportunity to qualify for a higher skill level. Following a successful skills assessment, this could increase your salary by up to £9,766. Flexible Working: We recognise the importance of a healthy work-life balance and offer full-time, part-time, and compressed hours. While hybrid working may be more limited due to the nature of the work, some home working may be available depending on business needs. Find out more about flexible working on our website . GCHQ is an intelligence, cyber and security agency with a mission to keep the UK safe. We use cutting-edge technology, ingenuity, and partnerships to identify, analyse and disrupt threats. Working with our intelligence partners MI5 and MI6, we protect the UK from terrorism, cyber-attacks, and espionage. At GCHQ, you ll do varied and fascinating work in a supportive and inclusive environment that puts the emphasis on teamwork. As a Senior Software Engineer, you ll bring your experience of modern software frameworks and team leadership to our passionate tech community. You ll help design new and existing systems, establish best working practices, and deliver high-quality solutions to mission-critical problems. With your expertise, you ll operate at a deep technical level, leveraging your familiarity with languages and frameworks such as Golang, Java, JavaScript, .NET, Node, Python, Rust, and cloud platforms (AWS, Azure, and GCP). You might be mentoring a team or leading as a technical expert. You ll be keen to develop not just your own skills, but those of others. Whether you re bringing new approaches, sharing innovative ways of working, or identifying new priorities, you ll set the standard. You ll engage with technical and non-technical customers and have a positive influence on the wider engineering community. With our encouragement to spend up to 30% of your time on development, innovation, and experimentation, you ll have the freedom to explore new possibilities for yourself and for GCHQ. You don t need to be a Software Engineer to apply; you might be working in Cloud Engineering and Security, UX, Site Reliability Engineering, Front-End Design, Agile, Solution Architecture, Data Engineering, or Machine Learning Operations. You ll also have experience leading Agile project teams and evaluating customer business requirements. Upon joining, you ll have access to a wide range of learning resources from online courses conferences and opportunities to pursue formal qualifications (funded by us). We ll provide all the support you need for a rewarding career, whether that s through tailored training or flexible working options. In this role, we offer full-time, part-time, and compressed hours, meaning you can enjoy a great work-life balance without compromising on what matters to you. At GCHQ, diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking, and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce, such as women, those from an ethnic minority background, people with disabilities, and those from low socio-economic backgrounds. Find out more about our culture, working environment, and diversity on our website. To find out more and apply, please visit our website. To be eligible to apply, you must be a British Citizen. If you hold dual nationality, of which one component is British, you will nonetheless be considered. Candidates must normally have been resident in the UK for seven out of the last ten years. This is particularly important if you were born outside the UK. We welcome applications from candidates of all ages, and there is no upper age limit. You can apply at 17, if successful, you will not be offered a start date prior to your 18th birthday. Full eligibility details can be found on our website.
Apr 13, 2026
Full time
Location(s): Manchester, Cheltenham or Samlesbury Salary: £50,354 to £60,036, including a concessionary payment of £2,758. The final amount depends on your skills and experience. You ll also receive a one-off recruitment bonus of £3,500, split into two payments: £1,750 on arrival and £1,750 after successfully completing probation. In the future, there may be an opportunity to qualify for a higher skill level. Following a successful skills assessment, this could increase your salary by up to £9,766. Flexible Working: We recognise the importance of a healthy work-life balance and offer full-time, part-time, and compressed hours. While hybrid working may be more limited due to the nature of the work, some home working may be available depending on business needs. Find out more about flexible working on our website . GCHQ is an intelligence, cyber and security agency with a mission to keep the UK safe. We use cutting-edge technology, ingenuity, and partnerships to identify, analyse and disrupt threats. Working with our intelligence partners MI5 and MI6, we protect the UK from terrorism, cyber-attacks, and espionage. At GCHQ, you ll do varied and fascinating work in a supportive and inclusive environment that puts the emphasis on teamwork. As a Senior Software Engineer, you ll bring your experience of modern software frameworks and team leadership to our passionate tech community. You ll help design new and existing systems, establish best working practices, and deliver high-quality solutions to mission-critical problems. With your expertise, you ll operate at a deep technical level, leveraging your familiarity with languages and frameworks such as Golang, Java, JavaScript, .NET, Node, Python, Rust, and cloud platforms (AWS, Azure, and GCP). You might be mentoring a team or leading as a technical expert. You ll be keen to develop not just your own skills, but those of others. Whether you re bringing new approaches, sharing innovative ways of working, or identifying new priorities, you ll set the standard. You ll engage with technical and non-technical customers and have a positive influence on the wider engineering community. With our encouragement to spend up to 30% of your time on development, innovation, and experimentation, you ll have the freedom to explore new possibilities for yourself and for GCHQ. You don t need to be a Software Engineer to apply; you might be working in Cloud Engineering and Security, UX, Site Reliability Engineering, Front-End Design, Agile, Solution Architecture, Data Engineering, or Machine Learning Operations. You ll also have experience leading Agile project teams and evaluating customer business requirements. Upon joining, you ll have access to a wide range of learning resources from online courses conferences and opportunities to pursue formal qualifications (funded by us). We ll provide all the support you need for a rewarding career, whether that s through tailored training or flexible working options. In this role, we offer full-time, part-time, and compressed hours, meaning you can enjoy a great work-life balance without compromising on what matters to you. At GCHQ, diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking, and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce, such as women, those from an ethnic minority background, people with disabilities, and those from low socio-economic backgrounds. Find out more about our culture, working environment, and diversity on our website. To find out more and apply, please visit our website. To be eligible to apply, you must be a British Citizen. If you hold dual nationality, of which one component is British, you will nonetheless be considered. Candidates must normally have been resident in the UK for seven out of the last ten years. This is particularly important if you were born outside the UK. We welcome applications from candidates of all ages, and there is no upper age limit. You can apply at 17, if successful, you will not be offered a start date prior to your 18th birthday. Full eligibility details can be found on our website.
Job Overview We are seeking a highly motivated and versatile Senior/Staff Product Engineer with expertise in the development of Optoelectronic ICs or Photonic Devices. Specialization in SPAD ICs is highly desirable. This role will involve cross-functional collaboration to drive product development from NPI through to mass production, with focus on the development, and qualification stages. The ideal candidate will have a deep understanding of automotive qualification standards and the creation of qualification plans for optoelectronic ICs. Extensive experience with both Automated Test Equipment (ATE) and bench debugging of ICs is required. Significant experience in the characterization of Optoelectronic ICs or SPADs is also highly preferred. As a growing start up, we value individuals who are adaptable, willing to take on multiple roles, and thrive in a fast paced, dynamic environment. Key Responsibilities NPI (New Product Introduction): Work closely with cross-functional teams (design, process, test, and reliability engineers) to drive SPAD ICs from prototype to mass production, ensuring seamless product launches. Work alongside OSATs to develop and implement manufacturing and testing solutions. ATE Test Development & Hardware: Lead the design and implementation of innovative multi-site hardware and software solutions (Test Programs) to minimize test cost and optimize test time. Own the development of production-ready hardware, including probe cards and loadboards. Develop robust ATE-level characterization solutions to validate key ASIC parameters. Automotive Qualification: Develop and implement robust automotive qualification plans for SPAD ICs, ensuring compliance with industry standards and relevant regulatory requirements (e.g., ISO 26262, AEC Q100). Collaborate with Reliability Engineers to design hardware and software systems that support qualification efforts. Perform and oversee ATE and bench-level debugging of SPAD ICs throughout the qualification process. Document qualification processes and results to ensure traceability. Direct failure analysis initiatives to identify and resolve potential manufacturing or process issues effectively. Cross-Functional Collaboration: Engage with both system-level and ASIC-level teams to ensure effective communication and mutual understanding of product requirements. Facilitate technical discussions and collaborations to drive key project milestones and ensure alignment across teams. Data Analysis & Reporting: Analyze test data to identify trends and product performance improvements. Generate detailed reports for both internal and external stakeholders, summarizing key performance metrics. Failure Analysis & Yield Improvement: Conduct failure analysis to drive yield enhancement initiatives during product ramp and mass production. Product Documentation: Create and maintain comprehensive product documentation, including test reports, qualification reports and production release notes. Qualifications Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, or a related field. 10+ years of experience in IC product engineering, with a focus on optoelectronic devices or SPADs. Hands on experience with ATE and bench-level debugging tools and methods. Advanced knowledge of PCB layout and schematic design. Extensive knowledge of SPAD ICs, including opto electrical characterization parameters such as DCR, APP, PDP and more. Strong understanding of automotive qualification standards (e.g., AEC Q100) and experience creating qualification plans. Experience working with cross functional teams and managing complex projects. Proficiency in data analysis and reporting using tools like Python, JMP or the equivalent. Strong problem solving and analytical skills. Excellent written and verbal communication skills. Highly Desirable Skills Extensive experience in New Product Introduction (NPI) and product lifecycle management, encompassing all phases from prototyping to mass production. Proven experience on automotive qualification (i.e. AEC Q100) of optoelectronic devices, preferably SPAD based ICs. Knowledge of SPAD pixel architecture and its integration in CMOS processes. Hands on experience on opto electrical validation and characterization is a plus. Familiarity with LIDAR systems.
Apr 13, 2026
Full time
Job Overview We are seeking a highly motivated and versatile Senior/Staff Product Engineer with expertise in the development of Optoelectronic ICs or Photonic Devices. Specialization in SPAD ICs is highly desirable. This role will involve cross-functional collaboration to drive product development from NPI through to mass production, with focus on the development, and qualification stages. The ideal candidate will have a deep understanding of automotive qualification standards and the creation of qualification plans for optoelectronic ICs. Extensive experience with both Automated Test Equipment (ATE) and bench debugging of ICs is required. Significant experience in the characterization of Optoelectronic ICs or SPADs is also highly preferred. As a growing start up, we value individuals who are adaptable, willing to take on multiple roles, and thrive in a fast paced, dynamic environment. Key Responsibilities NPI (New Product Introduction): Work closely with cross-functional teams (design, process, test, and reliability engineers) to drive SPAD ICs from prototype to mass production, ensuring seamless product launches. Work alongside OSATs to develop and implement manufacturing and testing solutions. ATE Test Development & Hardware: Lead the design and implementation of innovative multi-site hardware and software solutions (Test Programs) to minimize test cost and optimize test time. Own the development of production-ready hardware, including probe cards and loadboards. Develop robust ATE-level characterization solutions to validate key ASIC parameters. Automotive Qualification: Develop and implement robust automotive qualification plans for SPAD ICs, ensuring compliance with industry standards and relevant regulatory requirements (e.g., ISO 26262, AEC Q100). Collaborate with Reliability Engineers to design hardware and software systems that support qualification efforts. Perform and oversee ATE and bench-level debugging of SPAD ICs throughout the qualification process. Document qualification processes and results to ensure traceability. Direct failure analysis initiatives to identify and resolve potential manufacturing or process issues effectively. Cross-Functional Collaboration: Engage with both system-level and ASIC-level teams to ensure effective communication and mutual understanding of product requirements. Facilitate technical discussions and collaborations to drive key project milestones and ensure alignment across teams. Data Analysis & Reporting: Analyze test data to identify trends and product performance improvements. Generate detailed reports for both internal and external stakeholders, summarizing key performance metrics. Failure Analysis & Yield Improvement: Conduct failure analysis to drive yield enhancement initiatives during product ramp and mass production. Product Documentation: Create and maintain comprehensive product documentation, including test reports, qualification reports and production release notes. Qualifications Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, or a related field. 10+ years of experience in IC product engineering, with a focus on optoelectronic devices or SPADs. Hands on experience with ATE and bench-level debugging tools and methods. Advanced knowledge of PCB layout and schematic design. Extensive knowledge of SPAD ICs, including opto electrical characterization parameters such as DCR, APP, PDP and more. Strong understanding of automotive qualification standards (e.g., AEC Q100) and experience creating qualification plans. Experience working with cross functional teams and managing complex projects. Proficiency in data analysis and reporting using tools like Python, JMP or the equivalent. Strong problem solving and analytical skills. Excellent written and verbal communication skills. Highly Desirable Skills Extensive experience in New Product Introduction (NPI) and product lifecycle management, encompassing all phases from prototyping to mass production. Proven experience on automotive qualification (i.e. AEC Q100) of optoelectronic devices, preferably SPAD based ICs. Knowledge of SPAD pixel architecture and its integration in CMOS processes. Hands on experience on opto electrical validation and characterization is a plus. Familiarity with LIDAR systems.
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python based applications, experimenting with new frameworks and deployment solutions along the way. Your day to day will focus on building real, production grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI powered features and services in our Python based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision support tools into core product workflows. Implement and optimise LLM based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real time data processing and low latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM based systems. Hands on experience with AI assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification driven approaches for technical analysis, code generation, and code review. Hands on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice to text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem solving skills and ability to collaborate in cross functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
Apr 12, 2026
Full time
About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python based applications, experimenting with new frameworks and deployment solutions along the way. Your day to day will focus on building real, production grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI powered features and services in our Python based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision support tools into core product workflows. Implement and optimise LLM based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real time data processing and low latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM based systems. Hands on experience with AI assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification driven approaches for technical analysis, code generation, and code review. Hands on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice to text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem solving skills and ability to collaborate in cross functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). Work closely with all Software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Essential: Experience in production-quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management or mentoring Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
Apr 12, 2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). Work closely with all Software development teams, supporting a culture of quality, security and maintainability. Review code and designs, setting a high bar for software engineering best practices. Mentor and support junior engineers, helping raise the overall technical capability of the team. Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. Candidate Profile Essential: Experience in production-quality software engineering roles. Strong software design and architecture skills, with experience working on large or complex systems. Strong proficiency in Python, including experience building and maintaining production codebases. Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). Experience working in Linux environments. Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. Proven ability to mentor junior engineers and influence engineering practices within a team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). Experience developing for or working with FPGA-based systems. Experience with people management or mentoring Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
A major financial institution is seeking a Senior AWS Data Platform Developer in Glasgow. This role involves building a sustainable data platform infrastructure and ensuring seamlessly integrated software solutions. The ideal candidate will have strong proficiency in Python or Scala, experience with AWS services and frameworks such as Apache Spark. A collaborative mindset and commitment to high-quality coding practices are vital for this position. Join a tech-savvy team during a transformative period in our engineering practices.
Apr 10, 2026
Full time
A major financial institution is seeking a Senior AWS Data Platform Developer in Glasgow. This role involves building a sustainable data platform infrastructure and ensuring seamlessly integrated software solutions. The ideal candidate will have strong proficiency in Python or Scala, experience with AWS services and frameworks such as Apache Spark. A collaborative mindset and commitment to high-quality coding practices are vital for this position. Join a tech-savvy team during a transformative period in our engineering practices.
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
Apr 10, 2026
Full time
Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Apr 10, 2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
About the Team The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation. Role Description As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. Impact you will have Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production grade systems from data ingestion and transformation through ML/AI model integration to user facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre sales through post deployment. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user facing interfaces. AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C level executives, translating complex concepts into actionable solutions. Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. Ability and interest to travel up to 50% as needed to client sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Apr 10, 2026
Full time
About the Team The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation. Role Description As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. Impact you will have Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production grade systems from data ingestion and transformation through ML/AI model integration to user facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre sales through post deployment. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks. Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user facing interfaces. AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes. Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C level executives, translating complex concepts into actionable solutions. Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges. Ability and interest to travel up to 50% as needed to client sites. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - Multi-omics Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases. Key Tasks Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application. Analysis of in-house wet lab experiments with the purpose to generate proprietary methods and data for our models. Multi-omic bioinformatics pipeline development. Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology. Expected Growth In 1 month you will be responsible for your own analysis and experiments on our cloud compute environment, involving creating an ad hoc Nextflow or Flyte workflow to massively process your data. In 3 months you have integrated your research into our AI models. In 6 months your pipelines run in automated production feeding daily AI model training. You're co-designing experiments with AI/ML engineers and lab scientists and you're leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what's possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data as well as top tier publications and / or patents. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal Experience Commercial experience generating insights from biological data (genomics, epigenetics, transcriptomics, proteomics, ATAC-Seq). Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs, including but not limited to NextFlow, Seqera. Strong working knowledge with cloud computing environments, including but not limited to AWS. Familiar with data wrangling, engineering, analysis, and visualisation libraries using Python or Julia, Spark, Hadoop, NoSQL. Application of artificial intelligence approaches and experience applying them to a biological context. Top tier publications. Patent experience. Location Based onsite in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight Prima Mente is a place where great people get to tackle great challenges together. We're innately curious, fundamentally hands on and passionate about excellence. Together we build an environment where outstanding communication, scientific rigour and creative innovation come together to effect impact at pace. Come build the world's frontier AI biology lab with us. We arrange our lives so we can work in person as much as possible.
Apr 10, 2026
Full time
About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - Multi-omics Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases. Key Tasks Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application. Analysis of in-house wet lab experiments with the purpose to generate proprietary methods and data for our models. Multi-omic bioinformatics pipeline development. Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology. Expected Growth In 1 month you will be responsible for your own analysis and experiments on our cloud compute environment, involving creating an ad hoc Nextflow or Flyte workflow to massively process your data. In 3 months you have integrated your research into our AI models. In 6 months your pipelines run in automated production feeding daily AI model training. You're co-designing experiments with AI/ML engineers and lab scientists and you're leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what's possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data as well as top tier publications and / or patents. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal Experience Commercial experience generating insights from biological data (genomics, epigenetics, transcriptomics, proteomics, ATAC-Seq). Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs, including but not limited to NextFlow, Seqera. Strong working knowledge with cloud computing environments, including but not limited to AWS. Familiar with data wrangling, engineering, analysis, and visualisation libraries using Python or Julia, Spark, Hadoop, NoSQL. Application of artificial intelligence approaches and experience applying them to a biological context. Top tier publications. Patent experience. Location Based onsite in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight Prima Mente is a place where great people get to tackle great challenges together. We're innately curious, fundamentally hands on and passionate about excellence. Together we build an environment where outstanding communication, scientific rigour and creative innovation come together to effect impact at pace. Come build the world's frontier AI biology lab with us. We arrange our lives so we can work in person as much as possible.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 10, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The opportunity Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting edge AI powered solutions that drive business value across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production grade deployments. Key ingredients Design, develop, and deploy high quality, scalable software solutions, focusing on AI enabled applications and infrastructure. Lead and participate in technical projects and deployments of AI systems. Provide guidance and mentoring to other team members on best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects or work streams focused on AI infrastructure and tooling. What you'll bring Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy automating processes. Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high quality work and driving forward best practices in software engineering. Stays up to date with new technology in the AI space. Nice to have Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi step generative AI applications, like LangGraph. Experience with Agent to Agent (A2A) communication or coordination patterns in AI systems. Hands on experience leveraging AI powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Apr 09, 2026
Full time
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The opportunity Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting edge AI powered solutions that drive business value across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production grade deployments. Key ingredients Design, develop, and deploy high quality, scalable software solutions, focusing on AI enabled applications and infrastructure. Lead and participate in technical projects and deployments of AI systems. Provide guidance and mentoring to other team members on best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects or work streams focused on AI infrastructure and tooling. What you'll bring Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy automating processes. Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high quality work and driving forward best practices in software engineering. Stays up to date with new technology in the AI space. Nice to have Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi step generative AI applications, like LangGraph. Experience with Agent to Agent (A2A) communication or coordination patterns in AI systems. Hands on experience leveraging AI powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
JD: Integration Engineer (EMEA) About k-ID k-ID is the global leader in privacy-first compliance and age verification infrastructure. Recognized as one of TIME's Best Inventions of 2025, named a Tech Pioneer by the World Economic Forum and a winner of Fast Company's Next Big Things in Tech, we are building the Age Layer for the internet-the fundamental infrastructure that allows digital platforms to verify age and manage compliance globally without friction. Our core platform, anchored by the Compliance Development Kit (CDK) and AgeKit, is the trusted engine for the world's largest game publishers and digital ecosystems. We replace fragmented, manual compliance with a unified API that handles age verification, parental consent, and regulatory logic across 200+ markets. Backed by top-tier venture capital firms like a16z and Lightspeed, k-ID is entering a phase of growth to define the standard for global digital safety. About The Role As an Integration Engineer, you'll be a core technical expert responsible for designing, developing, and maintaining integrations between k-ID's services and client systems. You'll leverage expertise in full-stack web development and game engines to ensure our Global Compliance Engine, AgeKit+ and AgeKeys are implemented seamlessly. This role focuses on supporting EMEA customers and providing regional time zone coverage. Location & Language Location: London, UK Languages: Proficiency in English and one more European language is a plus Key Responsibilities Serve as primary technical contact for European customers during local business hours Design, develop, and deploy integration solutions connecting k-ID services with client systems Build and troubleshoot integrations across a variety of platforms including game engines, mobile apps, and web Create and maintain technical documentation, integration guides, and code samples Collaborate with engineering, product, and go-to-market teams Troubleshoot complex technical issues and ensure high availability Minimum Qualifications Bachelor's in CS, Engineering, or related field 5+ years in software development with focus on systems integration and API development Fluency in English Proficiency in multiple languages (JavaScript/TypeScript, Python, C#, C++, Java) Experience with RESTful APIs and webhook integrations Strong understanding of web technologies and modern frameworks such as NextJS and React Experience with cloud platforms (AWS, Azure, GCP) Preferred Qualifications 8+ years of relevant experience Familiarity with Python as well as OOP languages such as C# or Java a plus Deep knowledge of digital identity, computer security, cryptography, and user data privacy practices Experience with various methods of age verification such as facial age estimation, ID verification, mobile driver's license, etc. Experience with WebView implementations and cross-platform development Hands-on experience with native mobile app development History of leading complex integration projects Experience with customers across multiple European markets Familiarity with global youth privacy frameworks such as COPPA and GDPR-K preferred. Proficiency in more than two European languages Benefits Competitive Salary A competitive startup salary aligned with experience and market benchmarks. Employee Stock Ownership Plan so you participate directly in the long term upside of the company. Health and Wellbeing Comprehensive family health coverage, including medical, dental, and vision benefits Provided Mental Health and Wellness support benefit Professional Development Hands on exposure with key clients in a scaling global tech company Opportunities for continuous learning through real ownership rather than formal training alone. Direct collaboration with the Founders and the tech leadership team Culture and Ways of Working A collaborative, inclusive and low politics work environment. Flexible, trust based working culture shaped by a US startup operating model. A mission driven company focused on improving online experiences for kids and teens globally. Applicants Privacy Policy
Apr 09, 2026
Full time
JD: Integration Engineer (EMEA) About k-ID k-ID is the global leader in privacy-first compliance and age verification infrastructure. Recognized as one of TIME's Best Inventions of 2025, named a Tech Pioneer by the World Economic Forum and a winner of Fast Company's Next Big Things in Tech, we are building the Age Layer for the internet-the fundamental infrastructure that allows digital platforms to verify age and manage compliance globally without friction. Our core platform, anchored by the Compliance Development Kit (CDK) and AgeKit, is the trusted engine for the world's largest game publishers and digital ecosystems. We replace fragmented, manual compliance with a unified API that handles age verification, parental consent, and regulatory logic across 200+ markets. Backed by top-tier venture capital firms like a16z and Lightspeed, k-ID is entering a phase of growth to define the standard for global digital safety. About The Role As an Integration Engineer, you'll be a core technical expert responsible for designing, developing, and maintaining integrations between k-ID's services and client systems. You'll leverage expertise in full-stack web development and game engines to ensure our Global Compliance Engine, AgeKit+ and AgeKeys are implemented seamlessly. This role focuses on supporting EMEA customers and providing regional time zone coverage. Location & Language Location: London, UK Languages: Proficiency in English and one more European language is a plus Key Responsibilities Serve as primary technical contact for European customers during local business hours Design, develop, and deploy integration solutions connecting k-ID services with client systems Build and troubleshoot integrations across a variety of platforms including game engines, mobile apps, and web Create and maintain technical documentation, integration guides, and code samples Collaborate with engineering, product, and go-to-market teams Troubleshoot complex technical issues and ensure high availability Minimum Qualifications Bachelor's in CS, Engineering, or related field 5+ years in software development with focus on systems integration and API development Fluency in English Proficiency in multiple languages (JavaScript/TypeScript, Python, C#, C++, Java) Experience with RESTful APIs and webhook integrations Strong understanding of web technologies and modern frameworks such as NextJS and React Experience with cloud platforms (AWS, Azure, GCP) Preferred Qualifications 8+ years of relevant experience Familiarity with Python as well as OOP languages such as C# or Java a plus Deep knowledge of digital identity, computer security, cryptography, and user data privacy practices Experience with various methods of age verification such as facial age estimation, ID verification, mobile driver's license, etc. Experience with WebView implementations and cross-platform development Hands-on experience with native mobile app development History of leading complex integration projects Experience with customers across multiple European markets Familiarity with global youth privacy frameworks such as COPPA and GDPR-K preferred. Proficiency in more than two European languages Benefits Competitive Salary A competitive startup salary aligned with experience and market benchmarks. Employee Stock Ownership Plan so you participate directly in the long term upside of the company. Health and Wellbeing Comprehensive family health coverage, including medical, dental, and vision benefits Provided Mental Health and Wellness support benefit Professional Development Hands on exposure with key clients in a scaling global tech company Opportunities for continuous learning through real ownership rather than formal training alone. Direct collaboration with the Founders and the tech leadership team Culture and Ways of Working A collaborative, inclusive and low politics work environment. Flexible, trust based working culture shaped by a US startup operating model. A mission driven company focused on improving online experiences for kids and teens globally. Applicants Privacy Policy
My client is seeking to recruit a Fullstack Software Engineer on an initial 12 month contract based in London. It is hybrid and will require 2x days onsite per week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and product Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Demonstrated experience with frontend software development (e.g. React) Demonstrated experience of Python development (e.g. using FastAPI) Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential Strong skills in JavaScript/TypeScript and Python, ensuring best practices are followed for clean and scalable code Demonstrated ability to work directly with designers, particularly using Figma, to convert design prototypes into engaging and interactive applications Experience in using automated testing tools, including Playwright and Cypress, to create, maintain, and execute comprehensive test suites Sound understanding of web development best practices, modern design principles, and continuous integration workflows Knowledge of agile practices and able to perform in agile software development environments Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)
Apr 09, 2026
Contractor
My client is seeking to recruit a Fullstack Software Engineer on an initial 12 month contract based in London. It is hybrid and will require 2x days onsite per week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and product Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Demonstrated experience with frontend software development (e.g. React) Demonstrated experience of Python development (e.g. using FastAPI) Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential Strong skills in JavaScript/TypeScript and Python, ensuring best practices are followed for clean and scalable code Demonstrated ability to work directly with designers, particularly using Figma, to convert design prototypes into engaging and interactive applications Experience in using automated testing tools, including Playwright and Cypress, to create, maintain, and execute comprehensive test suites Sound understanding of web development best practices, modern design principles, and continuous integration workflows Knowledge of agile practices and able to perform in agile software development environments Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
Apr 08, 2026
Full time
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
About Zip Here at Zip, we're reimagining how modern businesses function in the age of AI. The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses. Our co-founders started Zip in 2020 to address this seemingly universal problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 5 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world's leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and JPMorgan Chase rely on Zip to manage billions of dollars in spend. We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we're focused on developing cutting-edge technology, expanding into new global markets, and-above all-driving incredible value for our customers. Join us! Your Role We're looking for a Technical Solutions Consultant to join our rapidly scaling team. You'll work closely with our Sales and Solutions teams to implement the Zip Integration Platform for our customers. As every business needs our type of product, you'll work with a variety of new clients and industries. Current clients include Coinbase, Snowflake, Notion, Canva, Samsara, and Databricks. You Will The Technical Solutions Consultant is a key part of our professional services team helping customers get up and running on the Zip platform. They will use our Zip methodology and work closely with the Solution Lead to advise the customer, technically integrate the Zip solution for that customer, and transfer knowledge to the customer. Zip projects are typically fast-paced and you will work with multiple customers and be a trusted technical expert in your field. Integrate Zip into customer's IT landscape - typically ERP, Ticketing, TPRM, CLM, and other procurement tools. Design and document the integration architecture considering the customer's requirements. Validate customer requirements against third party API documentation. Work with customer stakeholders to build integrations leveraging Zip's internal iPaaS solution. Unit test the configuration with the customer. Provide periodic status reports to your manager and/or client. Provide accurate estimations and timelines of work performed. Collaborate with the product team to steer and provide ongoing feedback to continually improve the Zip product. Improve our technical processes to help our customers accelerate the time to value. Qualifications 4+ years experience integrating systems with ERP (Oracle/Ariba ideally), P2P, Ticketing, CLM, and TPRM systems. Experience using iPaaS tools to configure integrations required. Experience with Python/Javascript scripting Experience working with XML / REST based endpoints and standard authentication protocols. Past ERP implementation, integration, configuration or administration experience is beneficial but not required. Ability to translate highly technical information for audiences with varying degrees of technical knowledge. Ability to lead data architectural discussions and design customer integration solutions for commercial and mid-market customers. Comfortable working with API documentation. Comfortable testing and troubleshooting integration errors. Able to understand customer requirements and document that information quickly, with little oversight A continual learner and open to learning new technologies that Zip may integrate with in the future. Strong communication skills Extreme attention to detail and pride yourself in being incredibly proactive Experience working with product and engineering teams A relentless focus on customer success. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start-up equity Health, vision & dental coverage Flexible PTO Apple equipment plus home office budget We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
Apr 08, 2026
Full time
About Zip Here at Zip, we're reimagining how modern businesses function in the age of AI. The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses. Our co-founders started Zip in 2020 to address this seemingly universal problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 5 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world's leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and JPMorgan Chase rely on Zip to manage billions of dollars in spend. We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we're focused on developing cutting-edge technology, expanding into new global markets, and-above all-driving incredible value for our customers. Join us! Your Role We're looking for a Technical Solutions Consultant to join our rapidly scaling team. You'll work closely with our Sales and Solutions teams to implement the Zip Integration Platform for our customers. As every business needs our type of product, you'll work with a variety of new clients and industries. Current clients include Coinbase, Snowflake, Notion, Canva, Samsara, and Databricks. You Will The Technical Solutions Consultant is a key part of our professional services team helping customers get up and running on the Zip platform. They will use our Zip methodology and work closely with the Solution Lead to advise the customer, technically integrate the Zip solution for that customer, and transfer knowledge to the customer. Zip projects are typically fast-paced and you will work with multiple customers and be a trusted technical expert in your field. Integrate Zip into customer's IT landscape - typically ERP, Ticketing, TPRM, CLM, and other procurement tools. Design and document the integration architecture considering the customer's requirements. Validate customer requirements against third party API documentation. Work with customer stakeholders to build integrations leveraging Zip's internal iPaaS solution. Unit test the configuration with the customer. Provide periodic status reports to your manager and/or client. Provide accurate estimations and timelines of work performed. Collaborate with the product team to steer and provide ongoing feedback to continually improve the Zip product. Improve our technical processes to help our customers accelerate the time to value. Qualifications 4+ years experience integrating systems with ERP (Oracle/Ariba ideally), P2P, Ticketing, CLM, and TPRM systems. Experience using iPaaS tools to configure integrations required. Experience with Python/Javascript scripting Experience working with XML / REST based endpoints and standard authentication protocols. Past ERP implementation, integration, configuration or administration experience is beneficial but not required. Ability to translate highly technical information for audiences with varying degrees of technical knowledge. Ability to lead data architectural discussions and design customer integration solutions for commercial and mid-market customers. Comfortable working with API documentation. Comfortable testing and troubleshooting integration errors. Able to understand customer requirements and document that information quickly, with little oversight A continual learner and open to learning new technologies that Zip may integrate with in the future. Strong communication skills Extreme attention to detail and pride yourself in being incredibly proactive Experience working with product and engineering teams A relentless focus on customer success. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start-up equity Health, vision & dental coverage Flexible PTO Apple equipment plus home office budget We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!
Company Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We've been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas' Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we're now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you'll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on data requirements. Qualifications What we'd love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What's in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions to esure's success. 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday. Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Company funded private medical insurance for qualifying colleagues. Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members. We'll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn't be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We're a proud supporter of the ABI's 'Make Flexible Work' campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. And much more; See a full overview of our benefits here We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Apr 08, 2026
Full time
Company Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We've been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas' Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we're now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you'll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on data requirements. Qualifications What we'd love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What's in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions to esure's success. 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday. Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Company funded private medical insurance for qualifying colleagues. Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members. We'll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn't be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We're a proud supporter of the ABI's 'Make Flexible Work' campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. And much more; See a full overview of our benefits here We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Apr 07, 2026
Full time
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
Apr 07, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design of complex systems Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad during the implementation of end-to-end solutions Contribute to internal initiatives such as blogs, technical forums, and technology practices Drive your own development using the tools and support from Indicium AI to learn new skills Requirements (These are not ) Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures etc) Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience in a consultancy or client-facing role Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals, etc.) Why Indicium AI Plentiful opportunity and support for learning & development; £2k annual training budget (with 5 study days), access to Udemy, external consulting & leadership skills training Fast-growing start-up organisation with huge opportunity for career growth Competitive salary package along with company annual bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Strong engineering community; regularly run forums and Lunch & Learns, internal technology practices, we host external meet-ups Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Interested in building your career at Indicium AI? Get future opportunities sent straight to your email. Do you consider yourself to have a disability? The Equality Act 2010 defines a "physical or mental impairment which has a substantial and long-term adverse effect on a person's ability to carry out normal day-to-day activities". An effect is long-term if it has lasted, or is likely to last, more than 12 months. Which gender do you identify as?
