An analytics consulting firm is seeking a Lead Data Scientist to drive data-driven solutions through machine learning and statistical modelling. You will collaborate with clients to develop end-to-end analytical solutions and build ML infrastructure. The ideal candidate has a degree in a related field, at least 3 years of experience in data science, and strong communication skills. This position is full-time and remote, available for applicants from the US, UK, or Colombia.
Apr 03, 2026
Full time
An analytics consulting firm is seeking a Lead Data Scientist to drive data-driven solutions through machine learning and statistical modelling. You will collaborate with clients to develop end-to-end analytical solutions and build ML infrastructure. The ideal candidate has a degree in a related field, at least 3 years of experience in data science, and strong communication skills. This position is full-time and remote, available for applicants from the US, UK, or Colombia.
Overview Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Want to stand out? Consulting Experience Databricks Machine Learning Associate or Machine Learning Professional Certification Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc Experience with deep learning frameworks like TensorFlow or PyTorch Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the US, UK or Colombia.
Apr 03, 2026
Full time
Overview Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code leveraging key Databricks features. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Want to stand out? Consulting Experience Databricks Machine Learning Associate or Machine Learning Professional Certification Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc Experience with deep learning frameworks like TensorFlow or PyTorch Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the US, UK or Colombia.
Biology Specialist Haringey September 2026 A forward-thinking, academically driven secondary school in Haringey is seeking an exceptional Biology Specialist to join their thriving Science faculty from September 2026. This is a permanent Biology Specialist role within a school rated Outstanding by Ofsted, renowned for its evidence-based teaching culture, ambitious scientific curriculum, and genuine commitment to developing talented practitioners within a high-performing department. About the School This Haringey secondary school has cultivated a strong and well-deserved reputation for Science education, with Biology provision that consistently delivers excellent outcomes at GCSE and beyond. The department embraces a mastery-led approach to curriculum design, with sequenced, knowledge-rich lessons that build conceptual understanding progressively from KS3 through to KS4. The school's diverse and academically ambitious community brings genuine richness to topics spanning ecology, genetics, and human biology - making this an especially rewarding environment for a committed Biology Specialist. Behaviour is underpinned by firm, respectful whole-school expectations, and enrichment activities including biology field trips, dissection workshops, and medical careers programmes reflect the department's commitment to inspiring the next generation of scientists. What the School Offers A well-resourced Science faculty with dedicated lab technician support and modern practical facilities Subject-specific CPD including access to national Biology networks and university research partnerships A collaborative departmental culture with shared planning, peer observation, and genuinely manageable workloads Enthusiastic, intellectually curious pupils drawn from a vibrant and diverse North London community Clear internal progression routes for practitioners looking to move into middle leadership over time The Role As a Biology Specialist, you will plan and deliver high-quality, practical, and intellectually stimulating Biology lessons across KS3 and KS4, using your subject expertise to bring complex concepts to life with clarity and precision. You will analyse assessment data to identify and address gaps in pupil understanding, contribute to curriculum sequencing and resource development within the Science department, and play an active role in enrichment and careers provision that broadens pupil ambition. Establishing strong, respectful relationships with pupils, parents, and colleagues will be a natural extension of your practice as a Biology Specialist in this school. What the School is Looking For This permanent Biology Specialist position will suit candidates who: Hold UK Qualified Teacher Status (QTS), or are in the final stages of completing a UK-recognised teacher training programme Graduated with a 2:1 or above in Biology or a closely related life sciences discipline, ideally from a Russell Group or similarly well-regarded institution Can point to solid classroom experience within a UK secondary school setting, whether through placements, an ECT year, or a permanent teaching post Show clear evidence of well-planned, structured lessons that have produced measurable improvements in pupil outcomes Are comfortable and effective within a structured whole-school behaviour framework Are fully entitled to work in the UK - this school is not in a position to offer visa sponsorship ECT applicants with a strong Biology specialism are warmly encouraged to apply, provided formal UK teacher training has been completed or is nearing completion. Salary & Contract Inner London MPS: £40,317 to £52,300, with UPS up to £62,496. TLR opportunities may be available for candidates who demonstrate a clear readiness to contribute to departmental leadership or curriculum development. Biology specialists are among the most sought-after Science teachers in London, and this Haringey school offers a genuinely compelling environment in which to build a long-term career. If you are a dedicated Biology Specialist looking for a permanent Secondary Teaching Opportunity where your expertise will be valued, your practice developed, and your ambitions supported, we would very much like to hear from you. Ribbons & Reeves is one of London's leading Education Recruitment agencies. We specialise in helping teachers secure long-term and permanent roles like this Biology Specialist position in Haringey. For more opportunities, search 'Ribbons & Reeves' online or get in touch today - we're here to support your next step. Biology Specialist September 2026 INDTEACH
Apr 03, 2026
Full time
Biology Specialist Haringey September 2026 A forward-thinking, academically driven secondary school in Haringey is seeking an exceptional Biology Specialist to join their thriving Science faculty from September 2026. This is a permanent Biology Specialist role within a school rated Outstanding by Ofsted, renowned for its evidence-based teaching culture, ambitious scientific curriculum, and genuine commitment to developing talented practitioners within a high-performing department. About the School This Haringey secondary school has cultivated a strong and well-deserved reputation for Science education, with Biology provision that consistently delivers excellent outcomes at GCSE and beyond. The department embraces a mastery-led approach to curriculum design, with sequenced, knowledge-rich lessons that build conceptual understanding progressively from KS3 through to KS4. The school's diverse and academically ambitious community brings genuine richness to topics spanning ecology, genetics, and human biology - making this an especially rewarding environment for a committed Biology Specialist. Behaviour is underpinned by firm, respectful whole-school expectations, and enrichment activities including biology field trips, dissection workshops, and medical careers programmes reflect the department's commitment to inspiring the next generation of scientists. What the School Offers A well-resourced Science faculty with dedicated lab technician support and modern practical facilities Subject-specific CPD including access to national Biology networks and university research partnerships A collaborative departmental culture with shared planning, peer observation, and genuinely manageable workloads Enthusiastic, intellectually curious pupils drawn from a vibrant and diverse North London community Clear internal progression routes for practitioners looking to move into middle leadership over time The Role As a Biology Specialist, you will plan and deliver high-quality, practical, and intellectually stimulating Biology lessons across KS3 and KS4, using your subject expertise to bring complex concepts to life with clarity and precision. You will analyse assessment data to identify and address gaps in pupil understanding, contribute to curriculum sequencing and resource development within the Science department, and play an active role in enrichment and careers provision that broadens pupil ambition. Establishing strong, respectful relationships with pupils, parents, and colleagues will be a natural extension of your practice as a Biology Specialist in this school. What the School is Looking For This permanent Biology Specialist position will suit candidates who: Hold UK Qualified Teacher Status (QTS), or are in the final stages of completing a UK-recognised teacher training programme Graduated with a 2:1 or above in Biology or a closely related life sciences discipline, ideally from a Russell Group or similarly well-regarded institution Can point to solid classroom experience within a UK secondary school setting, whether through placements, an ECT year, or a permanent teaching post Show clear evidence of well-planned, structured lessons that have produced measurable improvements in pupil outcomes Are comfortable and effective within a structured whole-school behaviour framework Are fully entitled to work in the UK - this school is not in a position to offer visa sponsorship ECT applicants with a strong Biology specialism are warmly encouraged to apply, provided formal UK teacher training has been completed or is nearing completion. Salary & Contract Inner London MPS: £40,317 to £52,300, with UPS up to £62,496. TLR opportunities may be available for candidates who demonstrate a clear readiness to contribute to departmental leadership or curriculum development. Biology specialists are among the most sought-after Science teachers in London, and this Haringey school offers a genuinely compelling environment in which to build a long-term career. If you are a dedicated Biology Specialist looking for a permanent Secondary Teaching Opportunity where your expertise will be valued, your practice developed, and your ambitions supported, we would very much like to hear from you. Ribbons & Reeves is one of London's leading Education Recruitment agencies. We specialise in helping teachers secure long-term and permanent roles like this Biology Specialist position in Haringey. For more opportunities, search 'Ribbons & Reeves' online or get in touch today - we're here to support your next step. Biology Specialist September 2026 INDTEACH
About Chainlink Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stablecoins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi. Many of the world's largest financial services institutions have also adopted Chainlink's standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where offchain and onchain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic Chainlink Reserve. Learn more at chain.link. About The Role Chainlink Labs is seeking Research Engineers to support its mission of building the world's most secure and flexible decentralized oracle technologies. Research Engineers will work directly with top domain experts in applied cryptography, mechanism design (crypto economics), distributed systems, and other disciplines to identify and solve key research challenges and build production solutions that keep Chainlink at the forefront of oracle system deployment and fuel the success of the smart contract ecosystem. Your Impact Working with Chainlink core engineering to identify short- and long-term research challenges critical to the company's success and to transition innovations from Chainlink Labs into production. Working with research scientists and technical advisors to study, invent, and build cutting-edge oracle technologies for the benefit of the company and community. Staying abreast of the evolution of relevant technology ecosystems and participating in relevant technical communities for more effective application development and to guide research toward practical and impactful work. Required Qualifications B.S. in computer science or equivalent professional experience along with coursework in algorithms and data structures and discrete math. Familiarity with academic process and ability to engage with existing literature on relevant research topics, e.g. by performing literature searches and comprehending papers in a wider context. Professional software development experience is required. Preferred Qualifications Advanced computer science or related degree, coursework in applied and theoretical cryptography, mechanism design, distributed systems, or related fields. Familiarity with Go or Rust. Broad knowledge of blockchain technologies and familiarity specifically with smart contracts. Our Stack We use Go, Typescript, Solidity, Python, LATEX, git, and Linux/Unix. Smart contracts are on track to revolutionize how all agreements work, through an entirely new system of technologically enforced contract guarantees. Chainlink enables next-generation smart contracts that can be written about any/all events in the real world, the details of our approach can be found in our whitepaper. We are well recognized for providing highly secure and reliable blockchain connectivity to the world's largest enterprises such as Google, Oracle, SWIFT, and many more. All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST). We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date. Commitment to Equal Opportunity Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form. Global Data Privacy Notice for Job Candidates and Applicants Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit is subject to our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.
Apr 03, 2026
Full time
About Chainlink Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stablecoins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi. Many of the world's largest financial services institutions have also adopted Chainlink's standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where offchain and onchain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic Chainlink Reserve. Learn more at chain.link. About The Role Chainlink Labs is seeking Research Engineers to support its mission of building the world's most secure and flexible decentralized oracle technologies. Research Engineers will work directly with top domain experts in applied cryptography, mechanism design (crypto economics), distributed systems, and other disciplines to identify and solve key research challenges and build production solutions that keep Chainlink at the forefront of oracle system deployment and fuel the success of the smart contract ecosystem. Your Impact Working with Chainlink core engineering to identify short- and long-term research challenges critical to the company's success and to transition innovations from Chainlink Labs into production. Working with research scientists and technical advisors to study, invent, and build cutting-edge oracle technologies for the benefit of the company and community. Staying abreast of the evolution of relevant technology ecosystems and participating in relevant technical communities for more effective application development and to guide research toward practical and impactful work. Required Qualifications B.S. in computer science or equivalent professional experience along with coursework in algorithms and data structures and discrete math. Familiarity with academic process and ability to engage with existing literature on relevant research topics, e.g. by performing literature searches and comprehending papers in a wider context. Professional software development experience is required. Preferred Qualifications Advanced computer science or related degree, coursework in applied and theoretical cryptography, mechanism design, distributed systems, or related fields. Familiarity with Go or Rust. Broad knowledge of blockchain technologies and familiarity specifically with smart contracts. Our Stack We use Go, Typescript, Solidity, Python, LATEX, git, and Linux/Unix. Smart contracts are on track to revolutionize how all agreements work, through an entirely new system of technologically enforced contract guarantees. Chainlink enables next-generation smart contracts that can be written about any/all events in the real world, the details of our approach can be found in our whitepaper. We are well recognized for providing highly secure and reliable blockchain connectivity to the world's largest enterprises such as Google, Oracle, SWIFT, and many more. All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST). We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date. Commitment to Equal Opportunity Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form. Global Data Privacy Notice for Job Candidates and Applicants Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit is subject to our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in; Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONISIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus 28 days annual leave, plus bank holidays and volunteering days Life Insurance Wellness programs and support Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period:5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time
Apr 03, 2026
Full time
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in; Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONISIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus 28 days annual leave, plus bank holidays and volunteering days Life Insurance Wellness programs and support Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period:5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time
A dynamic data-driven company in the UK is seeking a Senior Data Scientist to design and implement customer-facing ML/AI features. This role involves using SQL and Python to analyze data, prototyping ideas, and collaborating with teams to transform raw data into product features. The ideal candidate should have over 5 years of experience in data science and a strong product-oriented mindset. You'll work in a remote-first environment, having real ownership over the product's development and impact.
Apr 03, 2026
Full time
A dynamic data-driven company in the UK is seeking a Senior Data Scientist to design and implement customer-facing ML/AI features. This role involves using SQL and Python to analyze data, prototyping ideas, and collaborating with teams to transform raw data into product features. The ideal candidate should have over 5 years of experience in data science and a strong product-oriented mindset. You'll work in a remote-first environment, having real ownership over the product's development and impact.
What we do At GoodFit, we help our customers unlock their next stages of growth with highly actionable & relevant data. Without spending thousands of hours on manual research, B2B companies use GoodFit's data engine to identify their next opportunities, understand their customers & generate demand. Our platform takes data from hundreds of sources across the internet and combines it into a real-time, constantly updated view of each opportunity our clients monitor. We process large volumes of data to do this and utilise best-in-class data technologies to deliver this at scale, robustly and efficiently. We have a strong market opportunity and are working with many of the highest-growth B2B companies. To continue accelerating product development and expanding our AI capabilities, we are growing our Data team. About the role As a Senior Data Scientist at GoodFit, you'll be responsible for designing, prototyping, and shipping customer-facing ML/AI features that create measurable product value. You'll operate at the intersection of experimentation and production - partnering closely with Product, Design, and Engineering to explore new ML capabilities, validate them quickly, and help turn them into scalable product features. We're looking for someone who is comfortable navigating ambiguity, framing problems independently, and moving from raw data to shipped product features. Your ability to combine strong modeling fundamentals with product thinking will be key to our success. You will Design and develop ML models (e.g., classification, ranking, scoring) that power customer-facing features Use SQL and Python (pandas, scikit-learn) to analyse product data and identify opportunities Rapidly prototype new AI/ML-driven product ideas in collaboration with Product and Design Define hypotheses, evaluate model performance, and iterate quickly Collaborate with Engineering to productionise validated models Improve automation, personalisation, and predictive capabilities within the product Ensure models are measurable, interpretable, and aligned with user value Assess and validate internal and external data sources used in ML features Evaluate signal quality, bias, completeness, and reliability Define metrics and checks to ensure data is fit for customer-facing use Move from ambiguous problem prototype shipped feature with strong ownership We'd love to hear from you if you have 5+ years of professional experience in data science or applied ML Strong SQL skills and confidence working directly with product data Strong Python experience for modelling (pandas, scikit-learn) Solid understanding of statistics and model evaluation techniques Experience shipping ML-powered features in production A product-oriented mindset and comfort working cross-functionally Strong communication skills and the ability to explain complex concepts clearly Experience working in a startup environment or high-growth company Bonus Experience shipping ML features in a B2B SaaS product Experience with LLM-based systems Experience with recommendation or ranking systems Why you'll love working at GoodFit We are an early-stage startup with a strong growth trajectory. The work you do will have a direct & recognisable impact on our product and customers. We're a remote-first team, valuing long stretches of uninterrupted work over constant connectivity. We have an office near Old Street for those who prefer a hybrid working pattern. The entire team gets together for occasional planning and team meetings (max once per month). As a small team, you'll work across multiple parts of the product and gain exposure to a wide range of technologies. You'll have real ownership - from idea to shipped feature to happy customers - and the opportunity to work directly with experienced founders and product leaders. Hiring process Initial call Main technical interview Two project discussions (including experimentation and product improvement) Final stage interview with Product Manager + team member Inclusion at GoodFit Ltd GoodFit Ltd. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process - please don't hesitate to let us know how we can help. Research shows that some candidates, particularly women and people from underrepresented groups, may hesitate to apply if they don't meet every listed qualification. If this role excites you, we encourage you to apply even if your experience doesn't align perfectly.
Apr 03, 2026
Full time
What we do At GoodFit, we help our customers unlock their next stages of growth with highly actionable & relevant data. Without spending thousands of hours on manual research, B2B companies use GoodFit's data engine to identify their next opportunities, understand their customers & generate demand. Our platform takes data from hundreds of sources across the internet and combines it into a real-time, constantly updated view of each opportunity our clients monitor. We process large volumes of data to do this and utilise best-in-class data technologies to deliver this at scale, robustly and efficiently. We have a strong market opportunity and are working with many of the highest-growth B2B companies. To continue accelerating product development and expanding our AI capabilities, we are growing our Data team. About the role As a Senior Data Scientist at GoodFit, you'll be responsible for designing, prototyping, and shipping customer-facing ML/AI features that create measurable product value. You'll operate at the intersection of experimentation and production - partnering closely with Product, Design, and Engineering to explore new ML capabilities, validate them quickly, and help turn them into scalable product features. We're looking for someone who is comfortable navigating ambiguity, framing problems independently, and moving from raw data to shipped product features. Your ability to combine strong modeling fundamentals with product thinking will be key to our success. You will Design and develop ML models (e.g., classification, ranking, scoring) that power customer-facing features Use SQL and Python (pandas, scikit-learn) to analyse product data and identify opportunities Rapidly prototype new AI/ML-driven product ideas in collaboration with Product and Design Define hypotheses, evaluate model performance, and iterate quickly Collaborate with Engineering to productionise validated models Improve automation, personalisation, and predictive capabilities within the product Ensure models are measurable, interpretable, and aligned with user value Assess and validate internal and external data sources used in ML features Evaluate signal quality, bias, completeness, and reliability Define metrics and checks to ensure data is fit for customer-facing use Move from ambiguous problem prototype shipped feature with strong ownership We'd love to hear from you if you have 5+ years of professional experience in data science or applied ML Strong SQL skills and confidence working directly with product data Strong Python experience for modelling (pandas, scikit-learn) Solid understanding of statistics and model evaluation techniques Experience shipping ML-powered features in production A product-oriented mindset and comfort working cross-functionally Strong communication skills and the ability to explain complex concepts clearly Experience working in a startup environment or high-growth company Bonus Experience shipping ML features in a B2B SaaS product Experience with LLM-based systems Experience with recommendation or ranking systems Why you'll love working at GoodFit We are an early-stage startup with a strong growth trajectory. The work you do will have a direct & recognisable impact on our product and customers. We're a remote-first team, valuing long stretches of uninterrupted work over constant connectivity. We have an office near Old Street for those who prefer a hybrid working pattern. The entire team gets together for occasional planning and team meetings (max once per month). As a small team, you'll work across multiple parts of the product and gain exposure to a wide range of technologies. You'll have real ownership - from idea to shipped feature to happy customers - and the opportunity to work directly with experienced founders and product leaders. Hiring process Initial call Main technical interview Two project discussions (including experimentation and product improvement) Final stage interview with Product Manager + team member Inclusion at GoodFit Ltd GoodFit Ltd. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process - please don't hesitate to let us know how we can help. Research shows that some candidates, particularly women and people from underrepresented groups, may hesitate to apply if they don't meet every listed qualification. If this role excites you, we encourage you to apply even if your experience doesn't align perfectly.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Work by yourself, or play your part in larger projects Deliver high quality security assessments within agreed deadlines Produce written and verbal reports for clients to an excellent standard. Develop and share knowledge with the rest of the penetration testing team Work with teams across PA Consulting, providing technical knowledge and expertise where required Be self-motivated and client oriented, aiming to exceed expectations in all areas of your role Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Hold CTM/CSTM or CTL/CSTL status and/or other industry recognised certifications such as the OSCP or CREST/CyberScheme qualifications Have developed their SME knowledge in one or more fields of penetration testing, such as mobile application testing, Cloud, Operational Technology, or a specific industry/environment such as telecoms, defence, or maritime Desire to help build and maintain the team though internal training, building our infrastructure and tooling or helping to plan and execute engagements Be interested in delivering and contributing to our CREST accredited ethical hacking training. You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast-paced environment Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
Apr 03, 2026
Full time
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth - you'll have budget to take courses (technical and non-technical training), plus gain certifications What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams Work by yourself, or play your part in larger projects Deliver high quality security assessments within agreed deadlines Produce written and verbal reports for clients to an excellent standard. Develop and share knowledge with the rest of the penetration testing team Work with teams across PA Consulting, providing technical knowledge and expertise where required Be self-motivated and client oriented, aiming to exceed expectations in all areas of your role Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Hold CTM/CSTM or CTL/CSTL status and/or other industry recognised certifications such as the OSCP or CREST/CyberScheme qualifications Have developed their SME knowledge in one or more fields of penetration testing, such as mobile application testing, Cloud, Operational Technology, or a specific industry/environment such as telecoms, defence, or maritime Desire to help build and maintain the team though internal training, building our infrastructure and tooling or helping to plan and execute engagements Be interested in delivering and contributing to our CREST accredited ethical hacking training. You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast-paced environment Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round : Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
Overview Frontend Engineering Manager / Arch Manager ( GenAI experience ) Location: London Do you want to help leading organisations launch world class human-centric products that re-imagine experiences with digital, data, AI and technology at their core? Then come and join our Accenture Song team. Our team accelerates growth and value for our clients through sustained customer relevance. We are a bold and generous team of creatives, designers, technologists, strategists and engineers working together to make possibilities a reality. We are purpose-built to help businesses serve the modern customer and their ever-evolving needs. As part of our team, you will help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate, and deliver value provides an unparalleled opportunity to grow and advance. You will learn and grow within an innovative culture that thrives on shared success, diverse and innovative ways of thinking that enables boundary-less opportunities that can drive your career in new & exciting ways. This is a fast-paced and client-centric focused environment. We have a constant focus on our people development and a collaborative and mutually encouraging culture. As part of our team, you will be working with cutting-edge design systems and digital platforms, and you will have the opportunity to develop a wide range of new skills on the job. If this sounds like you, we would love to hear from you! As a team: Are you ready to take your career to the next level? At Accenture, you'll be working alongside innovative colleagues on exciting projects that drive collaboration from strategy through to implementation. You'll have access to the latest technologies and work directly with clients to help them achieve their goals. But it's not just about the work - it's about the culture. Our organisation thrives on shared success and diverse ways of thinking, enabling opportunities that can propel your career in new and exciting ways. With a focus on learning, growth, and advancement, you'll be part of an innovative culture that encourages you to push boundaries and think outside the box. We're especially looking for individuals who are experts in front-end engineering for mobile or web platforms, with deep experience in modern frameworks and performance optimization. You'll bring hands-on experience with generative AI technologies and understand how to apply them to enhance product experiences. Consulting experience is also key - you'll be comfortable engaging with clients, shaping solutions, and driving strategic outcomes. If you're looking for a challenging and rewarding career in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll have the chance to develop a wide range of new skills on the job and work with cutting-edge technologies. So why wait? Join us and take your career to new heights. Responsibilities and qualifications As a frontend engineering manager, you will: Support growth within our customer technology product engineering practice Advise clients on how to build product and platform engineering capabilities and teams Build strong client relationships focused on customer, digital and platforms Lead engineering across large digital & agile transformation programmes Collaborate with Product Managers, Designers, Data Scientists and Engineers to deliver compelling user-facing products and solutions Propel the use of Generative AI within our work and products Provide input to technology & engineering thought leadership to our clients and teams Maximise team performance through mentorship, skills learning and career development Contribute to developing offerings, assets, capabilities, and attend events Job Qualifications We are looking for experience in the following: Experience leading front end engineering teams/squads Experience of building with modern frontend technologies on web and/or mobile (e.g. React/iOS/Android/React Native) Use of Generative AI within your workflows and/or products you are creating Experience with integrating cloud services directly into complex solutions(GraphQL/Restful APIs) Previous experience in software engineering senior roles (e.g. Engineering Lead, Team Lead) Extensive experience in agile environments for digital product creation Broad experience in modern engineering practices including: Systems Architecture Front End Engineering Platform & SRE Engineering Quality Engineering CI/CD Comfortable in articulating trends in technology and engineering practices Experience improving speed and quality outcomes using modern engineering practices Set yourself apart: Presented your work at an event or conference Experience developing short & long-term plans for a teams growth and transformation Track record at engaging with senior leadership as a trusted advisor Created proven scalable solutions, especially with AI Academic Requirements: Bachelor's Degree or equivalent with MBA or Masters preferred Does this appeal to you? If so, we wish to hear from you. Please advise if you have any requirements, so we can investigate into arranging reasonable adjustments to the recruitment process. You can contact us at What's in it for you: At Accenture, in addition to a competitive base salary, you will also have an extensive benefits package which includes pension, private health insurance, discounted gym membership, emergency caring facilities, and 3 days' leave per year for charitable work of your choice! Flexible working arrangements can be discussed depending on the position. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. We offer Strategy and Consulting, Interactive, Technology and Operations services - all powered by the world's largest network of Advanced Technology and Intelligent Operations centres. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders,partners and communities. Visit us at Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. Join Accenture to work at the heart of change. Visit us at
Apr 03, 2026
Full time
Overview Frontend Engineering Manager / Arch Manager ( GenAI experience ) Location: London Do you want to help leading organisations launch world class human-centric products that re-imagine experiences with digital, data, AI and technology at their core? Then come and join our Accenture Song team. Our team accelerates growth and value for our clients through sustained customer relevance. We are a bold and generous team of creatives, designers, technologists, strategists and engineers working together to make possibilities a reality. We are purpose-built to help businesses serve the modern customer and their ever-evolving needs. As part of our team, you will help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate, and deliver value provides an unparalleled opportunity to grow and advance. You will learn and grow within an innovative culture that thrives on shared success, diverse and innovative ways of thinking that enables boundary-less opportunities that can drive your career in new & exciting ways. This is a fast-paced and client-centric focused environment. We have a constant focus on our people development and a collaborative and mutually encouraging culture. As part of our team, you will be working with cutting-edge design systems and digital platforms, and you will have the opportunity to develop a wide range of new skills on the job. If this sounds like you, we would love to hear from you! As a team: Are you ready to take your career to the next level? At Accenture, you'll be working alongside innovative colleagues on exciting projects that drive collaboration from strategy through to implementation. You'll have access to the latest technologies and work directly with clients to help them achieve their goals. But it's not just about the work - it's about the culture. Our organisation thrives on shared success and diverse ways of thinking, enabling opportunities that can propel your career in new and exciting ways. With a focus on learning, growth, and advancement, you'll be part of an innovative culture that encourages you to push boundaries and think outside the box. We're especially looking for individuals who are experts in front-end engineering for mobile or web platforms, with deep experience in modern frameworks and performance optimization. You'll bring hands-on experience with generative AI technologies and understand how to apply them to enhance product experiences. Consulting experience is also key - you'll be comfortable engaging with clients, shaping solutions, and driving strategic outcomes. If you're looking for a challenging and rewarding career in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll have the chance to develop a wide range of new skills on the job and work with cutting-edge technologies. So why wait? Join us and take your career to new heights. Responsibilities and qualifications As a frontend engineering manager, you will: Support growth within our customer technology product engineering practice Advise clients on how to build product and platform engineering capabilities and teams Build strong client relationships focused on customer, digital and platforms Lead engineering across large digital & agile transformation programmes Collaborate with Product Managers, Designers, Data Scientists and Engineers to deliver compelling user-facing products and solutions Propel the use of Generative AI within our work and products Provide input to technology & engineering thought leadership to our clients and teams Maximise team performance through mentorship, skills learning and career development Contribute to developing offerings, assets, capabilities, and attend events Job Qualifications We are looking for experience in the following: Experience leading front end engineering teams/squads Experience of building with modern frontend technologies on web and/or mobile (e.g. React/iOS/Android/React Native) Use of Generative AI within your workflows and/or products you are creating Experience with integrating cloud services directly into complex solutions(GraphQL/Restful APIs) Previous experience in software engineering senior roles (e.g. Engineering Lead, Team Lead) Extensive experience in agile environments for digital product creation Broad experience in modern engineering practices including: Systems Architecture Front End Engineering Platform & SRE Engineering Quality Engineering CI/CD Comfortable in articulating trends in technology and engineering practices Experience improving speed and quality outcomes using modern engineering practices Set yourself apart: Presented your work at an event or conference Experience developing short & long-term plans for a teams growth and transformation Track record at engaging with senior leadership as a trusted advisor Created proven scalable solutions, especially with AI Academic Requirements: Bachelor's Degree or equivalent with MBA or Masters preferred Does this appeal to you? If so, we wish to hear from you. Please advise if you have any requirements, so we can investigate into arranging reasonable adjustments to the recruitment process. You can contact us at What's in it for you: At Accenture, in addition to a competitive base salary, you will also have an extensive benefits package which includes pension, private health insurance, discounted gym membership, emergency caring facilities, and 3 days' leave per year for charitable work of your choice! Flexible working arrangements can be discussed depending on the position. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. We offer Strategy and Consulting, Interactive, Technology and Operations services - all powered by the world's largest network of Advanced Technology and Intelligent Operations centres. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders,partners and communities. Visit us at Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. Join Accenture to work at the heart of change. Visit us at
A leading insurance firm is seeking a Senior Data Scientist in London to tackle complex challenges and contribute to data-driven decision-making. This role involves developing predictive models, collaborating with technical teams, and communicating analytical solutions to stakeholders. The ideal candidate will have a strong background in data science, proficiency in tools like Python and SQL, and excellent communication skills. Enjoy a hybrid work model and benefits that promote wellbeing in a unique company culture.
Apr 03, 2026
Full time
A leading insurance firm is seeking a Senior Data Scientist in London to tackle complex challenges and contribute to data-driven decision-making. This role involves developing predictive models, collaborating with technical teams, and communicating analytical solutions to stakeholders. The ideal candidate will have a strong background in data science, proficiency in tools like Python and SQL, and excellent communication skills. Enjoy a hybrid work model and benefits that promote wellbeing in a unique company culture.
Overview Are you a recent graduate with a curiosity for AI, automation, and how technology can improve real businesses? This is a rare opportunity to join a growing organisation at an early stage of its data and AI journey, where your ideas and technical skills can make a genuine impact from day one. We're hiring a Graduate Data Scientist to help explore, test, and implement modern AI-driven solutions across the business. You'll be working in a hands-on, exploratory role that blends data analysis, applied AI, and problem-solving. Ideal for someone looking to build practical experience beyond theory. About the role As a Graduate Data Scientist, you'll support the identification and development of AI and data-led opportunities across the company. You'll look at existing processes, ask "how could this be done better?", and work to prototype solutions using modern tools, platforms, and technologies. This role is deliberately broad. You won't be boxed into one narrow technical area, instead, you'll gain exposure to automation, data analysis, APIs, and AI tooling, while learning how to translate business challenges into workable technical ideas. About the company You'll be joining a well-established organisation that is actively investing in data, technology, and AI to drive smarter decision-making and improve efficiency. This is an environment where learning is encouraged, experimentation is valued, and you'll be trusted with real responsibility. The role is hybrid, with three days per week based in the London office. What we're looking for A strong interest in AI, automation, and emerging technologies A degree in a relevant subject (Data Science, Computer Science, Mathematics, or similar) Some hands-on technical experience through internships, projects, placements, or coursework (e.g. Python, data analysis, automation, APIs, or similar) A curious, problem-solving mindset and a willingness to experiment Good communication skills and the confidence to share ideas and ask questions You don't need to be an expert, what matters most is enthusiasm, technical foundations, and a desire to learn in a real-world environment.
Apr 03, 2026
Full time
Overview Are you a recent graduate with a curiosity for AI, automation, and how technology can improve real businesses? This is a rare opportunity to join a growing organisation at an early stage of its data and AI journey, where your ideas and technical skills can make a genuine impact from day one. We're hiring a Graduate Data Scientist to help explore, test, and implement modern AI-driven solutions across the business. You'll be working in a hands-on, exploratory role that blends data analysis, applied AI, and problem-solving. Ideal for someone looking to build practical experience beyond theory. About the role As a Graduate Data Scientist, you'll support the identification and development of AI and data-led opportunities across the company. You'll look at existing processes, ask "how could this be done better?", and work to prototype solutions using modern tools, platforms, and technologies. This role is deliberately broad. You won't be boxed into one narrow technical area, instead, you'll gain exposure to automation, data analysis, APIs, and AI tooling, while learning how to translate business challenges into workable technical ideas. About the company You'll be joining a well-established organisation that is actively investing in data, technology, and AI to drive smarter decision-making and improve efficiency. This is an environment where learning is encouraged, experimentation is valued, and you'll be trusted with real responsibility. The role is hybrid, with three days per week based in the London office. What we're looking for A strong interest in AI, automation, and emerging technologies A degree in a relevant subject (Data Science, Computer Science, Mathematics, or similar) Some hands-on technical experience through internships, projects, placements, or coursework (e.g. Python, data analysis, automation, APIs, or similar) A curious, problem-solving mindset and a willingness to experiment Good communication skills and the confidence to share ideas and ask questions You don't need to be an expert, what matters most is enthusiasm, technical foundations, and a desire to learn in a real-world environment.
A growing technology organisation is seeking a Graduate Data Scientist to support AI-driven solutions. In this role, you will identify and develop data-led opportunities, prototype solutions, and gain hands-on experience with emerging technologies. Ideal candidates will have a degree in Data Science or a related field, along with a strong interest in AI and problem-solving. This position offers a hybrid work model, with three days per week in the London office.
Apr 03, 2026
Full time
A growing technology organisation is seeking a Graduate Data Scientist to support AI-driven solutions. In this role, you will identify and develop data-led opportunities, prototype solutions, and gain hands-on experience with emerging technologies. Ideal candidates will have a degree in Data Science or a related field, along with a strong interest in AI and problem-solving. This position offers a hybrid work model, with three days per week in the London office.
Overview M+C Saatchi World Services are looking for a Data Scientist specialising in NLP. In this role, you will design, build, and scale production grade language systems that transform how our products understand, retrieve, and generate text. You'll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities. This is a full time role, based in London on a hybrid basis (2-3 days per week in the office). About the Role This is an applied, highly technical role focused on leveraging frontier LLM services (OpenAI, Anthropic, etc.) as well as locally deployed models to solve real business problems. You will architect intelligent systems, implement robust NLP pipelines, and deploy solutions that are reliable, secure, and performant at scale. You'll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities. What you'll do: Design and build LLM powered applications using third party APIs (OpenAI, Anthropic, etc.). Develop RAG (retrieval augmented generation) systems including document ingestion, chunking strategies, and vector search infrastructure. Implement advanced prompt engineering patterns, evaluation frameworks, and output reliability mechanisms. Build NLP pipelines for text classification, entity extraction, semantic search, summarisation, and document understanding. Develop agentic workflows and tool use systems for complex multi step tasks. Optimise for cost, latency, reliability, and model selection across LLM providers and configurations. Collaborate with product and engineering teams to translate business requirements into robust technical solutions. Build monitoring, observability, and evaluation systems for LLM applications in production. About You What you bring (knowledge, expertise, experience, and skills): Solid experience in applied NLP or machine learning roles. Strong proficiency in Python and experience building production systems. Hands on experience with LLM APIs (OpenAI, Anthropic, or similar). Experience building RAG systems including loaders, text splitting, embedding models, and vector stores. Solid understanding of NLP fundamentals: embeddings, semantic similarity, text classification, and evaluation. Experience with prompt engineering and structured output parsing. Strong software engineering fundamentals: version control, testing, code review, documentation. Experience with cloud infrastructure (AWS preferred). Desirable: Experience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.). Background working with vector databases (Pinecone, Weaviate, pgvector, Chroma). Experience building agentic LLM workflows (tool calling, function calling, multi step reasoning). Familiarity with LLM evaluation and observability tools (LangSmith, Weights & Biases, etc.). Experience fine tuning API based models or working with embedding models. Understanding of cost optimisation strategies across providers and model tiers. What You Get A competitive salary and benefits package that includes 27 days holiday per year, pension contributions, private healthcare, discounted dental insurance, enhanced maternity/parental leave, plus a whole host of others including: Cultural stimulation allowance - £250 per person per year Half days off before bank holidays Emergency care days for dependants Up to 5 days volunteering leave per year to work for a registered charity Up to 10 days special emergency leave per year Season Ticket loan Payroll Giving Scheme Thursday drinks to unwind and socialize An annual Summer and Christmas party Our commitment to Diversity and Inclusion sees us offer inclusive bank holidays We also offer learning opportunities around D&I, targeted mentoring programmes and the opportunity to participate in several active Employee Led Networks and associated events. Finally, this role will be supported with all the necessary personal development required to set someone up for success. About M+C Saatchi World Services M+C Saatchi World Services is a specialist division of M+C Saatchi Group, the world's largest independent communications network. Our specialists work in office hubs across six continents, grounding our global expertise in local nuance. We offer award-winning commercial communications capabilities, which are utilized by global organizations to address the world's most complex problems across defence, development, diplomacy, homeland and national security, law and order, health, education, and the environment. We work with clients that want to help the hardest-to-reach, hardest-to-influence audiences. This includes a range of Western Government departments, such as DOS and USAID; partner governments, including the U.K. and Australia; and prominent IGOs/NGOs such as the U.N. We are a comms agency that works on behaviour change projects typically focused on issues related to Security, Defence and Stabilization. Whether it's producing critically acclaimed feature films in Africa, to TV shows in the Middle East, to pop music videos in Asia, we have a record of leveraging creativity to access communities anywhere in the world.
Apr 03, 2026
Full time
Overview M+C Saatchi World Services are looking for a Data Scientist specialising in NLP. In this role, you will design, build, and scale production grade language systems that transform how our products understand, retrieve, and generate text. You'll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities. This is a full time role, based in London on a hybrid basis (2-3 days per week in the office). About the Role This is an applied, highly technical role focused on leveraging frontier LLM services (OpenAI, Anthropic, etc.) as well as locally deployed models to solve real business problems. You will architect intelligent systems, implement robust NLP pipelines, and deploy solutions that are reliable, secure, and performant at scale. You'll work closely with engineering, product, and operational stakeholders to translate business goals into technical solutions, whilst shaping the overall direction of our AI capabilities. What you'll do: Design and build LLM powered applications using third party APIs (OpenAI, Anthropic, etc.). Develop RAG (retrieval augmented generation) systems including document ingestion, chunking strategies, and vector search infrastructure. Implement advanced prompt engineering patterns, evaluation frameworks, and output reliability mechanisms. Build NLP pipelines for text classification, entity extraction, semantic search, summarisation, and document understanding. Develop agentic workflows and tool use systems for complex multi step tasks. Optimise for cost, latency, reliability, and model selection across LLM providers and configurations. Collaborate with product and engineering teams to translate business requirements into robust technical solutions. Build monitoring, observability, and evaluation systems for LLM applications in production. About You What you bring (knowledge, expertise, experience, and skills): Solid experience in applied NLP or machine learning roles. Strong proficiency in Python and experience building production systems. Hands on experience with LLM APIs (OpenAI, Anthropic, or similar). Experience building RAG systems including loaders, text splitting, embedding models, and vector stores. Solid understanding of NLP fundamentals: embeddings, semantic similarity, text classification, and evaluation. Experience with prompt engineering and structured output parsing. Strong software engineering fundamentals: version control, testing, code review, documentation. Experience with cloud infrastructure (AWS preferred). Desirable: Experience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.). Background working with vector databases (Pinecone, Weaviate, pgvector, Chroma). Experience building agentic LLM workflows (tool calling, function calling, multi step reasoning). Familiarity with LLM evaluation and observability tools (LangSmith, Weights & Biases, etc.). Experience fine tuning API based models or working with embedding models. Understanding of cost optimisation strategies across providers and model tiers. What You Get A competitive salary and benefits package that includes 27 days holiday per year, pension contributions, private healthcare, discounted dental insurance, enhanced maternity/parental leave, plus a whole host of others including: Cultural stimulation allowance - £250 per person per year Half days off before bank holidays Emergency care days for dependants Up to 5 days volunteering leave per year to work for a registered charity Up to 10 days special emergency leave per year Season Ticket loan Payroll Giving Scheme Thursday drinks to unwind and socialize An annual Summer and Christmas party Our commitment to Diversity and Inclusion sees us offer inclusive bank holidays We also offer learning opportunities around D&I, targeted mentoring programmes and the opportunity to participate in several active Employee Led Networks and associated events. Finally, this role will be supported with all the necessary personal development required to set someone up for success. About M+C Saatchi World Services M+C Saatchi World Services is a specialist division of M+C Saatchi Group, the world's largest independent communications network. Our specialists work in office hubs across six continents, grounding our global expertise in local nuance. We offer award-winning commercial communications capabilities, which are utilized by global organizations to address the world's most complex problems across defence, development, diplomacy, homeland and national security, law and order, health, education, and the environment. We work with clients that want to help the hardest-to-reach, hardest-to-influence audiences. This includes a range of Western Government departments, such as DOS and USAID; partner governments, including the U.K. and Australia; and prominent IGOs/NGOs such as the U.N. We are a comms agency that works on behaviour change projects typically focused on issues related to Security, Defence and Stabilization. Whether it's producing critically acclaimed feature films in Africa, to TV shows in the Middle East, to pop music videos in Asia, we have a record of leveraging creativity to access communities anywhere in the world.
Senior Data Scientist page is loaded Senior Data Scientistremote type: Hybridlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Position: Senior Data Scientist Reporting to: Lead Data Scientist Location: London Type: PermanentAs a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You'll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.You'll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox's data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.You'll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market's first AI-enhanced lead underwriting solution. This achievement reflects the team's commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.As a Data Scientist, you'll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis. Key Responsibilities: Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business. Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation. Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques. Person Specification: Degree in a STEM or closely related field or equivalent experience. A further degree is a plus. Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value. Experience of data science in finance or insurance is an advantage but not required. Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task. Familiarity with version control, agile working and other IT delivery tools is required Skills : Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience. Experience with analytical tools / programming languages and databases (for example: Python, R, SQL). Experience with large language models and prompting, GCP experience is a plus. Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning. A particular interest in natural language processing or machine vision. A strong grasp of foundational statistics is essential. Experience working both in small teams and independently on analytics projects. Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders. Willingness to learn best practice in software development. Knowledge of insurance is an advantage but not essential. Apply now for further information Work with amazing people and be part of a unique culture If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.
Apr 03, 2026
Full time
Senior Data Scientist page is loaded Senior Data Scientistremote type: Hybridlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Position: Senior Data Scientist Reporting to: Lead Data Scientist Location: London Type: PermanentAs a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You'll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.You'll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox's data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.You'll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market's first AI-enhanced lead underwriting solution. This achievement reflects the team's commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.As a Data Scientist, you'll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis. Key Responsibilities: Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business. Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation. Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques. Person Specification: Degree in a STEM or closely related field or equivalent experience. A further degree is a plus. Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value. Experience of data science in finance or insurance is an advantage but not required. Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task. Familiarity with version control, agile working and other IT delivery tools is required Skills : Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience. Experience with analytical tools / programming languages and databases (for example: Python, R, SQL). Experience with large language models and prompting, GCP experience is a plus. Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning. A particular interest in natural language processing or machine vision. A strong grasp of foundational statistics is essential. Experience working both in small teams and independently on analytics projects. Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders. Willingness to learn best practice in software development. Knowledge of insurance is an advantage but not essential. Apply now for further information Work with amazing people and be part of a unique culture If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.
A leading communications agency in Westminster seeks a Data Scientist to design and build LLM-powered applications. The role emphasizes developing intelligent systems leveraging NLP, working with APIs like OpenAI and Anthropic. Candidates should have solid experience in machine learning, Python proficiency, and hands-on experience with LLM APIs. This full-time position offers a competitive salary, hybrid work model, and diverse benefits, including generous holiday allowance and cultural stimulation support.
Apr 03, 2026
Full time
A leading communications agency in Westminster seeks a Data Scientist to design and build LLM-powered applications. The role emphasizes developing intelligent systems leveraging NLP, working with APIs like OpenAI and Anthropic. Candidates should have solid experience in machine learning, Python proficiency, and hands-on experience with LLM APIs. This full-time position offers a competitive salary, hybrid work model, and diverse benefits, including generous holiday allowance and cultural stimulation support.
About The Generalist Company We're making it radically easier for founders to find the talent they actually need, and for operators to do their most impactful and meaningful work. We exist because founders waste time, effort and money on mis-scoped roles, mismatched skill sets, and slow recruiting - while brilliant generalists and operators struggle to find work that values their range and impact. We fix that. We connect high-context talent with high-growth opportunities: freelance, fractional, contract, or full-time. Whether it's a launch, a turnaround, or a first hire, we bring in the right people at the right moment. It's faster, sharper, and built on trust. At a glance Location: Remote (global opportunities) Compensation: You set your rate - freelance/contract, fractional, or full-time Contract Type: Flexible - project-based, deployments, part-time, full-time Start Date: Ongoing - join the pool, we'll match you when the fit is right About our opportunities We work with early-stage startups and scaling tech companies that need technical minds that can think like product owners and build like engineers. This is for builders who want to be where it matters - not on the sidelines. Whether you're turning zero-to-one ideas into shipping MVPs, levelling up product systems, or stabilising messy technical debt, the work is fast-moving and high-impact. You might embed for a product launch, act as an interim tech lead, or join a long term rebuild. These teams need people who can think in systems and build with speed - whether it's product, design, engineering, or data. The kinds of disciplines and roles we match for You don't need to fit neatly into a box - but here's an idea of what we're talking about: Product Management Product Manager, Group PM, CPO UX/UI Design UX Designer, UI Designer, Product Designer Engineering Frontend, Backend, Full-Stack Engineer, AI Engineer (Product side or infra focused) Data Science / ML / AI ML Engineer, Data Scientist, AI Engineer (Model development, LLMs, embeddings) QA & DevOps QA Lead, DevOps Engineer, Infrastructure Engineer You might go deep on one discipline or span multiple. That's the beauty of this pool. Who you are You've built before - and you know how to work across teams, users, and use cases. You ship and shape outcomes. Some traits we often see in great fit operators: You're user-obsessed - you ask why, not just what You're systems-minded - you design for scale and change You're hands on - you're not afraid to prototype, refactor, or jump into details You're product aware - you think in roadmaps and experiences, not just features You're collaborative - you play well with design, product, ops, and leadership You're curious - always learning, iterating, and improving your craft This might not be for you if You prefer highly structured corporate environments You need a team around you to make decisions You want to specialise in one narrow function only You're not comfortable with ambiguity or autonomy You find it difficult to context switch and adapt to fast paced changes Volatility scares you more than opportunity excites you What you can expect Joining means you're on our radar for exciting roles that match your zone of expertise. Here's how it works: Step 1: You'll apply Step 2: You'll connect with us - we'll explore your experience, craft, and fit Step 3: When a client brief fits your craft and expertise, we'll get in touch and introduce you to the client and you can explore the opportunity with them directly Step 4: If it's a fit, we'll onboard you and continue to support throughout You won't hear from us every week. But when you do, it'll be for something relevant and real. We're building a diverse network We actively welcome applications from people of all backgrounds, lived experiences, and perspectives. No matter your gender, race, age, neurodiversity, or path into this industry, you're welcome here. If you've got the skills and mindset, we want to hear from you. Ready to join?
Apr 03, 2026
Full time
About The Generalist Company We're making it radically easier for founders to find the talent they actually need, and for operators to do their most impactful and meaningful work. We exist because founders waste time, effort and money on mis-scoped roles, mismatched skill sets, and slow recruiting - while brilliant generalists and operators struggle to find work that values their range and impact. We fix that. We connect high-context talent with high-growth opportunities: freelance, fractional, contract, or full-time. Whether it's a launch, a turnaround, or a first hire, we bring in the right people at the right moment. It's faster, sharper, and built on trust. At a glance Location: Remote (global opportunities) Compensation: You set your rate - freelance/contract, fractional, or full-time Contract Type: Flexible - project-based, deployments, part-time, full-time Start Date: Ongoing - join the pool, we'll match you when the fit is right About our opportunities We work with early-stage startups and scaling tech companies that need technical minds that can think like product owners and build like engineers. This is for builders who want to be where it matters - not on the sidelines. Whether you're turning zero-to-one ideas into shipping MVPs, levelling up product systems, or stabilising messy technical debt, the work is fast-moving and high-impact. You might embed for a product launch, act as an interim tech lead, or join a long term rebuild. These teams need people who can think in systems and build with speed - whether it's product, design, engineering, or data. The kinds of disciplines and roles we match for You don't need to fit neatly into a box - but here's an idea of what we're talking about: Product Management Product Manager, Group PM, CPO UX/UI Design UX Designer, UI Designer, Product Designer Engineering Frontend, Backend, Full-Stack Engineer, AI Engineer (Product side or infra focused) Data Science / ML / AI ML Engineer, Data Scientist, AI Engineer (Model development, LLMs, embeddings) QA & DevOps QA Lead, DevOps Engineer, Infrastructure Engineer You might go deep on one discipline or span multiple. That's the beauty of this pool. Who you are You've built before - and you know how to work across teams, users, and use cases. You ship and shape outcomes. Some traits we often see in great fit operators: You're user-obsessed - you ask why, not just what You're systems-minded - you design for scale and change You're hands on - you're not afraid to prototype, refactor, or jump into details You're product aware - you think in roadmaps and experiences, not just features You're collaborative - you play well with design, product, ops, and leadership You're curious - always learning, iterating, and improving your craft This might not be for you if You prefer highly structured corporate environments You need a team around you to make decisions You want to specialise in one narrow function only You're not comfortable with ambiguity or autonomy You find it difficult to context switch and adapt to fast paced changes Volatility scares you more than opportunity excites you What you can expect Joining means you're on our radar for exciting roles that match your zone of expertise. Here's how it works: Step 1: You'll apply Step 2: You'll connect with us - we'll explore your experience, craft, and fit Step 3: When a client brief fits your craft and expertise, we'll get in touch and introduce you to the client and you can explore the opportunity with them directly Step 4: If it's a fit, we'll onboard you and continue to support throughout You won't hear from us every week. But when you do, it'll be for something relevant and real. We're building a diverse network We actively welcome applications from people of all backgrounds, lived experiences, and perspectives. No matter your gender, race, age, neurodiversity, or path into this industry, you're welcome here. If you've got the skills and mindset, we want to hear from you. Ready to join?
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 03, 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.
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 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 Java Engineer to join our Security and Intelligence consulting team and will be responsible for designing, developing and maintaining secure software services and mission applications within classified government environments. The role focuses on building high-performance backend systems, microservices and APIs that enable intelligence data platforms, analytics systems and operational applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, data scientists, DevOps engineers and mission analysts to deliver secure, production grade software systems. Typical engagements include: Developing Java based microservices and backend platforms Building API driven services enabling data exploitation and analytics Supporting distributed analytics platforms and intelligence applications Integrating software components across complex secure environments Delivering cloud native and containerised mission software systems Job Responsibilities Design, develop and maintain secure Java based backend services supporting mission critical and operational systems. Build scalable microservices architectures and robust RESTful APIs to support data driven and intelligence platforms. Engineer high performance, distributed applications capable of processing large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing and continuous improvement activities. Implement logging, monitoring and observability to support the operation of production systems. Collaborate closely with multi disciplinary teams including engineers, data specialists and operational stakeholders. Skills Required Strong experience developing Java based backend applications (Java 11+) using modern frameworks such as Spring Boot / Spring Framework. Solid understanding of object oriented design, software architecture and building RESTful APIs. Experience designing and developing distributed systems and microservices architectures, including service to service communication and API integration patterns. Proven ability to build high performance, scalable backend systems for data intensive or mission critical applications. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, automated testing and observability tooling. Ability to work directly with stakeholders to understand requirements and translate them into robust, secure and scalable software solutions. Strong collaboration and communication skills, with the ability to explain technical concepts to both technical and non technical audiences. Comfortable working in secure or regulated environments, delivering software within complex operational constraints. 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 a 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 03, 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 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 Java Engineer to join our Security and Intelligence consulting team and will be responsible for designing, developing and maintaining secure software services and mission applications within classified government environments. The role focuses on building high-performance backend systems, microservices and APIs that enable intelligence data platforms, analytics systems and operational applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, data scientists, DevOps engineers and mission analysts to deliver secure, production grade software systems. Typical engagements include: Developing Java based microservices and backend platforms Building API driven services enabling data exploitation and analytics Supporting distributed analytics platforms and intelligence applications Integrating software components across complex secure environments Delivering cloud native and containerised mission software systems Job Responsibilities Design, develop and maintain secure Java based backend services supporting mission critical and operational systems. Build scalable microservices architectures and robust RESTful APIs to support data driven and intelligence platforms. Engineer high performance, distributed applications capable of processing large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing and continuous improvement activities. Implement logging, monitoring and observability to support the operation of production systems. Collaborate closely with multi disciplinary teams including engineers, data specialists and operational stakeholders. Skills Required Strong experience developing Java based backend applications (Java 11+) using modern frameworks such as Spring Boot / Spring Framework. Solid understanding of object oriented design, software architecture and building RESTful APIs. Experience designing and developing distributed systems and microservices architectures, including service to service communication and API integration patterns. Proven ability to build high performance, scalable backend systems for data intensive or mission critical applications. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, automated testing and observability tooling. Ability to work directly with stakeholders to understand requirements and translate them into robust, secure and scalable software solutions. Strong collaboration and communication skills, with the ability to explain technical concepts to both technical and non technical audiences. Comfortable working in secure or regulated environments, delivering software within complex operational constraints. 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 a 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.
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 an 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. Why you? 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. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ 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 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. 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 $136,125 to $226,875. 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. 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. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. 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 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. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained 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. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit
Apr 03, 2026
Full time
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 an 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. Why you? 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. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ 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 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. 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 $136,125 to $226,875. 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. 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. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. 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 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. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained 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. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. 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About Encord Encord is the universal data layer for AI, helping 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle - from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $110M in total funding, including a $60M Series C led by Wellington Management, with participation from CRV, Next47, Y Combinator, and others. The Role Encord has earned the trust of ML engineers and researchers who care deeply about data quality. We're now hiring a Developer Relations Engineer to build on that at scale. This is a technical role first. You'll be embedded in the ML and data engineering communities, helping craft technical content and building relationships that help practitioners genuinely level up how they think about training data, model evaluation, and the full data lifecycle. Whether that's a hands on tutorial, a conference talk, an integration demo - you'll meet ML/AI engineers where they are. What you'll do Create technical content - tutorials, notebooks, integration guides, video walkthroughs, and technical blog posts that showcase real world applications of Encord across data curation, annotation, and model evaluation workflows. You'll own a consistent publishing cadence and produce work that gets cited and shared by practitioners. Be a community presence - engage authentically with ML engineers, data scientists, and AI practitioners online (X, LinkedIn, Discord, GitHub, etc.) and at in person events. Run and attend events - represent Encord at conferences, meetups, and hackathons; plan and host your own workshops and developer sessions in London, the SF Bay Area, and beyond. Build partnerships - develop relationships with complementary open source projects, ML tooling companies, and DevRel teams to co create content and integrations. Close the feedback loop - act as the voice of the developer community internally, with a direct line to product and engineering to surface insights that shape product direction and documentation. Track what works - set clear objectives aligned with the GTM team and take a rigorous, data driven approach to measuring the impact of everything you ship. Who we're looking for A strong background in ML, AI, or data engineering - hands on experience building in these domains, not just familiarity with the terminology. Understanding of why data quality matters for model performance and enjoys helping other developers improve their craft. At ease reading and discussing research papers and ML tooling docs. Metrics driven with a systematic approach to prioritising initiatives. Experience requirements 3+ years of software engineering experience with a strong background in ML, AI, or data pipelines. An existing presence in the ML or data community - a newsletter, a GitHub repo people use, a social following, or anything that shows you've already been doing this. Demonstrated ability to explain complex technical concepts clearly in writing, in code, and in person. Experience working with ML workflows: model training, data labelling, evaluation, or adjacent areas. Bonus: experience with agentic AI systems, computer vision, or multimodal data; background in developer tools, open source, or ML infrastructure; or experience speaking at a conference, running a hackathon, or organising a technical workshop. Why Encord Competitive salary, commission, and equity in a high growth startup. Strong in person culture - most of the team works from our London office 3+ days/week. 25 days annual leave + UK public holidays. Annual learning & development budget. Travel for customer visits, events, and conferences across the UK and Europe. Company lunches twice a week. Monthly socials & bi annual team offsites.
Apr 03, 2026
Full time
About Encord Encord is the universal data layer for AI, helping 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle - from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $110M in total funding, including a $60M Series C led by Wellington Management, with participation from CRV, Next47, Y Combinator, and others. The Role Encord has earned the trust of ML engineers and researchers who care deeply about data quality. We're now hiring a Developer Relations Engineer to build on that at scale. This is a technical role first. You'll be embedded in the ML and data engineering communities, helping craft technical content and building relationships that help practitioners genuinely level up how they think about training data, model evaluation, and the full data lifecycle. Whether that's a hands on tutorial, a conference talk, an integration demo - you'll meet ML/AI engineers where they are. What you'll do Create technical content - tutorials, notebooks, integration guides, video walkthroughs, and technical blog posts that showcase real world applications of Encord across data curation, annotation, and model evaluation workflows. You'll own a consistent publishing cadence and produce work that gets cited and shared by practitioners. Be a community presence - engage authentically with ML engineers, data scientists, and AI practitioners online (X, LinkedIn, Discord, GitHub, etc.) and at in person events. Run and attend events - represent Encord at conferences, meetups, and hackathons; plan and host your own workshops and developer sessions in London, the SF Bay Area, and beyond. Build partnerships - develop relationships with complementary open source projects, ML tooling companies, and DevRel teams to co create content and integrations. Close the feedback loop - act as the voice of the developer community internally, with a direct line to product and engineering to surface insights that shape product direction and documentation. Track what works - set clear objectives aligned with the GTM team and take a rigorous, data driven approach to measuring the impact of everything you ship. Who we're looking for A strong background in ML, AI, or data engineering - hands on experience building in these domains, not just familiarity with the terminology. Understanding of why data quality matters for model performance and enjoys helping other developers improve their craft. At ease reading and discussing research papers and ML tooling docs. Metrics driven with a systematic approach to prioritising initiatives. Experience requirements 3+ years of software engineering experience with a strong background in ML, AI, or data pipelines. An existing presence in the ML or data community - a newsletter, a GitHub repo people use, a social following, or anything that shows you've already been doing this. Demonstrated ability to explain complex technical concepts clearly in writing, in code, and in person. Experience working with ML workflows: model training, data labelling, evaluation, or adjacent areas. Bonus: experience with agentic AI systems, computer vision, or multimodal data; background in developer tools, open source, or ML infrastructure; or experience speaking at a conference, running a hackathon, or organising a technical workshop. Why Encord Competitive salary, commission, and equity in a high growth startup. Strong in person culture - most of the team works from our London office 3+ days/week. 25 days annual leave + UK public holidays. Annual learning & development budget. Travel for customer visits, events, and conferences across the UK and Europe. Company lunches twice a week. Monthly socials & bi annual team offsites.
