A leading technology firm in London is seeking a Principal Machine Learning Engineer to drive the design and deployment of AI-powered products. This high-impact role requires hands-on experience in Machine Learning engineering and a deep understanding of LLM fine-tuning and alignment. The ideal candidate will architect production systems and mentor engineers while ensuring compliance with the company's standards. This is an excellent opportunity to shape the future of AI at a global scale.
Jul 11, 2026
Full time
A leading technology firm in London is seeking a Principal Machine Learning Engineer to drive the design and deployment of AI-powered products. This high-impact role requires hands-on experience in Machine Learning engineering and a deep understanding of LLM fine-tuning and alignment. The ideal candidate will architect production systems and mentor engineers while ensuring compliance with the company's standards. This is an excellent opportunity to shape the future of AI at a global scale.
Contract Principal Data Scientist (Senior Data Scientist) The Opportunity We're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact. This role sits at the intersection of data science, AI, and business strategy , combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data. What You'll Be Doing Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value Design, develop and deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights and recommendations Work closely with data engineers to ensure robust, scalable data pipelines and solutions Provide technical leadership , setting standards and coaching other data scientists Drive innovation and champion the use of AI and advanced analytics Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What We're Looking For Essential: Extensive experience designing and delivering data science and AI solutions in real-world environments Strong expertise in statistical analysis, machine learning, and advanced analytics techniques Proven ability to write and optimise complex code Experience working closely with data engineers and multidisciplinary teams Demonstrable contribution to building data science capability and best practice Ability to communicate complex findings clearly to both technical and non-technical audiences Desirable: Experience working in agile, iterative delivery environments Understanding of user research and user needs in product development What Makes This Role Stand Out Opportunity to lead and shape AI and data science strategy Combination of hands-on delivery and technical leadership Focus on delivering real-world impact through data Work across a variety of complex, high-value problem spaces Key Skills Advanced statistical analysis and modelling Data engineering collaboration and data lifecycle understanding Storytelling with data and visualisation Data ethics, privacy, and governance awareness Stakeholder engagement and influencing Product thinking and delivery What You'll Deliver High-quality AI models and analytical solutions Insightful dashboards, reports, and visualisations Scalable and reusable data science products Established standards, practices, and capability improvements Thought leadership in data science and AI innovation Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Jul 09, 2026
Contractor
Contract Principal Data Scientist (Senior Data Scientist) The Opportunity We're looking for a Principal Data Scientist (Senior Data Scientist level) to lead the development of advanced analytics, AI models, and data-driven solutions that deliver real organisational impact. This role sits at the intersection of data science, AI, and business strategy , combining technical expertise with leadership to shape high-value initiatives and unlock insights from complex data. What You'll Be Doing Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value Design, develop and deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights and recommendations Work closely with data engineers to ensure robust, scalable data pipelines and solutions Provide technical leadership , setting standards and coaching other data scientists Drive innovation and champion the use of AI and advanced analytics Contribute to best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What We're Looking For Essential: Extensive experience designing and delivering data science and AI solutions in real-world environments Strong expertise in statistical analysis, machine learning, and advanced analytics techniques Proven ability to write and optimise complex code Experience working closely with data engineers and multidisciplinary teams Demonstrable contribution to building data science capability and best practice Ability to communicate complex findings clearly to both technical and non-technical audiences Desirable: Experience working in agile, iterative delivery environments Understanding of user research and user needs in product development What Makes This Role Stand Out Opportunity to lead and shape AI and data science strategy Combination of hands-on delivery and technical leadership Focus on delivering real-world impact through data Work across a variety of complex, high-value problem spaces Key Skills Advanced statistical analysis and modelling Data engineering collaboration and data lifecycle understanding Storytelling with data and visualisation Data ethics, privacy, and governance awareness Stakeholder engagement and influencing Product thinking and delivery What You'll Deliver High-quality AI models and analytical solutions Insightful dashboards, reports, and visualisations Scalable and reusable data science products Established standards, practices, and capability improvements Thought leadership in data science and AI innovation Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note:We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Senior ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. Team Context In this role, you will be vertically embedded in Research, working daily with: Research Scientists who determine the model architectures and methods ML Engineers who implement and develop the models Simulation Data Engineers who are accountable for upstream data pipelines You will have end-to-end responsibilities over the research infrastructure, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably. Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company. What you will do Training Infrastructure Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform. Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization. Build and maintain experiment tracking and observability systems that give researchers clear visibility into training runs, hyperparameter sweeps, and model performance. Data I/O and Performance Solve data loading bottlenecks for large-scale mesh datasets. Optimize data pipelines for efficient I/O from cloud storage, including prefetching, caching, and format optimization. Work with heterogeneous data sources of varying formats and resolutions. Model Serving and Deployment Build serving infrastructure for pre-trained LPMs, supporting both zero shot inference and uncertainty quantification (Monte Carlo Dropout). Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine tuning capabilities. Ensure reproducibility: any model checkpoint should be deployable with consistent behaviour. Platform and Tooling Improve developer experience for the Research team with fast iteration cycles, reliable CI/CD, clear debugging tools. Collaborate with the broader Infrastructure team on shared patterns and standards. What you bring to the table Ability to scope and effectively deliver projects, prioritising activity as needed. Problem solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience building and operating ML infrastructure at scale: Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds Ideally Experience with geometric deep learning or neural operators, architectures that operate on meshes, point clouds, or graphs Background in HPC for simulation engineering, familiarity with how CFD/FEA workflows generate and consume data Experience building model serving infrastructure with latency and throughput requirements Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana) What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Jul 09, 2026
Full time
Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note:We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Senior ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. Team Context In this role, you will be vertically embedded in Research, working daily with: Research Scientists who determine the model architectures and methods ML Engineers who implement and develop the models Simulation Data Engineers who are accountable for upstream data pipelines You will have end-to-end responsibilities over the research infrastructure, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably. Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company. What you will do Training Infrastructure Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform. Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization. Build and maintain experiment tracking and observability systems that give researchers clear visibility into training runs, hyperparameter sweeps, and model performance. Data I/O and Performance Solve data loading bottlenecks for large-scale mesh datasets. Optimize data pipelines for efficient I/O from cloud storage, including prefetching, caching, and format optimization. Work with heterogeneous data sources of varying formats and resolutions. Model Serving and Deployment Build serving infrastructure for pre-trained LPMs, supporting both zero shot inference and uncertainty quantification (Monte Carlo Dropout). Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine tuning capabilities. Ensure reproducibility: any model checkpoint should be deployable with consistent behaviour. Platform and Tooling Improve developer experience for the Research team with fast iteration cycles, reliable CI/CD, clear debugging tools. Collaborate with the broader Infrastructure team on shared patterns and standards. What you bring to the table Ability to scope and effectively deliver projects, prioritising activity as needed. Problem solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience building and operating ML infrastructure at scale: Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds Ideally Experience with geometric deep learning or neural operators, architectures that operate on meshes, point clouds, or graphs Background in HPC for simulation engineering, familiarity with how CFD/FEA workflows generate and consume data Experience building model serving infrastructure with latency and throughput requirements Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana) What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity Relation is offering an outstanding opportunity for a Principal Scientist, Biologics Drug Discovery to bring deep biologics drug discovery knowledge to our growing pipeline. You will help shape how we choose targets, select modalities, design discovery cascades, and progress biologics candidates from early concept through to IND enabling studies. As Relation grows its scientific and machine learning capabilities, you will act as a senior individual contributor and technical authority on biologics drug discovery, working alongside our computational, ML, and translational teams to translate biological insight into well designed molecules with a credible path to the clinic. You will be a key technical voice in pipeline decisions and a trusted partner to colleagues across Drug Discovery and beyond. Day to day, you will Apply deep biologics drug discovery knowledge to shape program plans, modality choice, and discovery cascades, contributing to the wider strategy set by Drug Discovery leadership. Drive biologics programs end to end - from target validation and hit identification through lead characterization, optimization, and developability triage - against agreed Target Product Profiles (TPPs). Make informed modality decisions across the biologics landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and ensure the right molecule is selected for the right target and indication. Design and oversee fit for purpose discovery packages, combining cell based functional assays, biophysical characterization (SPR/Biacore, BLI/Octet), and developability assessment to drive sound candidate selection. Operate effectively in a matrixed pharma/biotech environment, partnering with Computational Biology, Machine Learning, CMC, DMPK, Toxicology, and Translational colleagues to de risk candidates and progress them toward IND enabling studies. Manage externalised workstreams day to day: support CRO selection and oversee outsourced biologics production, in vitro pharmacology, and in vivo studies, ensuring data quality and timelines. Represent biologics drug discovery in project teams and pipeline reviews; communicate scientific progress, data, and risks clearly to project leadership and broader cross functional stakeholders. Partner with our ML and computational biology teams to bring biologics drug discovery insight into how predictive and generative approaches are applied to target selection, molecule design, and lead optimisation. Contribute to the development and continuous improvement of biologics discovery workflows and standard operating procedures, ensuring data integrity, reproducibility, and readiness for regulatory milestones. Contribute to Relation's scientific culture by mentoring junior scientists in biologics drug discovery, supporting publications and conference visibility, and helping to shape the broader scientific identity of the biologics group. Professionally, you will have A PhD. in Molecular Biology, Immunology, Pharmacology, Cell Biology, Protein Engineering, or a related life science discipline. Hands on drug discovery experience gained in a pharma or biotech setting, with a clear track record of contributing to biologics programmes progressing through key discovery milestones (target validation, hit to lead, lead optimisation, candidate selection). Proven experience working in a matrixed pharma/biotech environment, partnering effectively across functions (e.g. CMC, DMPK, Toxicology, Computational/ML, Translational) and balancing multiple stakeholders. Deep working knowledge of biologics drug discovery: how biology is translated into a molecule, how modalities are chosen, how discovery cascades are designed, and what data are needed at each stage to make sound progression decisions. Familiarity with the biologics modality landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and an informed view of when each modality is the right tool for the biology. Hands on experience with the data types that drive biologics drug discovery decisions, including cell based functional and screening assays and biophysical characterization (SPR/Biacore, BLI/Octet). Working experience of CRO management across biologics drug discovery activities (e.g. molecule production, in vitro pharmacology, in vivo studies). A good understanding of biologics drug discovery end to end, including TPP driven decision making, developability considerations, and awareness of what is required to support IND enabling activities. Curiosity about how ML and computational approaches can complement traditional biologics discovery workflows, and an interest in shaping how those tools are deployed. Bonus experience: Familiarity with bone biology and bone microenvironment models (osteoblast, osteoclast, osteocyte; mineral binding or resorption assays). Peer reviewed publications in the biologics drug discovery space, prior experience mentoring junior scientists, and exposure to a TechBio or computationally driven discovery environment are also welcome. Personally, you: Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.
Jul 08, 2026
Full time
About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity Relation is offering an outstanding opportunity for a Principal Scientist, Biologics Drug Discovery to bring deep biologics drug discovery knowledge to our growing pipeline. You will help shape how we choose targets, select modalities, design discovery cascades, and progress biologics candidates from early concept through to IND enabling studies. As Relation grows its scientific and machine learning capabilities, you will act as a senior individual contributor and technical authority on biologics drug discovery, working alongside our computational, ML, and translational teams to translate biological insight into well designed molecules with a credible path to the clinic. You will be a key technical voice in pipeline decisions and a trusted partner to colleagues across Drug Discovery and beyond. Day to day, you will Apply deep biologics drug discovery knowledge to shape program plans, modality choice, and discovery cascades, contributing to the wider strategy set by Drug Discovery leadership. Drive biologics programs end to end - from target validation and hit identification through lead characterization, optimization, and developability triage - against agreed Target Product Profiles (TPPs). Make informed modality decisions across the biologics landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and ensure the right molecule is selected for the right target and indication. Design and oversee fit for purpose discovery packages, combining cell based functional assays, biophysical characterization (SPR/Biacore, BLI/Octet), and developability assessment to drive sound candidate selection. Operate effectively in a matrixed pharma/biotech environment, partnering with Computational Biology, Machine Learning, CMC, DMPK, Toxicology, and Translational colleagues to de risk candidates and progress them toward IND enabling studies. Manage externalised workstreams day to day: support CRO selection and oversee outsourced biologics production, in vitro pharmacology, and in vivo studies, ensuring data quality and timelines. Represent biologics drug discovery in project teams and pipeline reviews; communicate scientific progress, data, and risks clearly to project leadership and broader cross functional stakeholders. Partner with our ML and computational biology teams to bring biologics drug discovery insight into how predictive and generative approaches are applied to target selection, molecule design, and lead optimisation. Contribute to the development and continuous improvement of biologics discovery workflows and standard operating procedures, ensuring data integrity, reproducibility, and readiness for regulatory milestones. Contribute to Relation's scientific culture by mentoring junior scientists in biologics drug discovery, supporting publications and conference visibility, and helping to shape the broader scientific identity of the biologics group. Professionally, you will have A PhD. in Molecular Biology, Immunology, Pharmacology, Cell Biology, Protein Engineering, or a related life science discipline. Hands on drug discovery experience gained in a pharma or biotech setting, with a clear track record of contributing to biologics programmes progressing through key discovery milestones (target validation, hit to lead, lead optimisation, candidate selection). Proven experience working in a matrixed pharma/biotech environment, partnering effectively across functions (e.g. CMC, DMPK, Toxicology, Computational/ML, Translational) and balancing multiple stakeholders. Deep working knowledge of biologics drug discovery: how biology is translated into a molecule, how modalities are chosen, how discovery cascades are designed, and what data are needed at each stage to make sound progression decisions. Familiarity with the biologics modality landscape (antibodies, bispecifics, ADCs, fusion proteins, fragments) and an informed view of when each modality is the right tool for the biology. Hands on experience with the data types that drive biologics drug discovery decisions, including cell based functional and screening assays and biophysical characterization (SPR/Biacore, BLI/Octet). Working experience of CRO management across biologics drug discovery activities (e.g. molecule production, in vitro pharmacology, in vivo studies). A good understanding of biologics drug discovery end to end, including TPP driven decision making, developability considerations, and awareness of what is required to support IND enabling activities. Curiosity about how ML and computational approaches can complement traditional biologics discovery workflows, and an interest in shaping how those tools are deployed. Bonus experience: Familiarity with bone biology and bone microenvironment models (osteoblast, osteoclast, osteocyte; mineral binding or resorption assays). Peer reviewed publications in the biologics drug discovery space, prior experience mentoring junior scientists, and exposure to a TechBio or computationally driven discovery environment are also welcome. Personally, you: Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.
PhysicsX Ltd in Greater London is seeking candidates for a research-focused position that combines machine learning and physics to solve engineering challenges. The role requires a PhD and over 4 years of experience in data-driven roles. You will collaborate with engineers to develop predictive models, communicate effectively across teams, and contribute to the company's innovation efforts. The position offers a hybrid working model and a range of benefits, including equity options and a robust parental leave policy.
Jul 01, 2026
Full time
PhysicsX Ltd in Greater London is seeking candidates for a research-focused position that combines machine learning and physics to solve engineering challenges. The role requires a PhD and over 4 years of experience in data-driven roles. You will collaborate with engineers to develop predictive models, communicate effectively across teams, and contribute to the company's innovation efforts. The position offers a hybrid working model and a range of benefits, including equity options and a robust parental leave policy.
IMC B.V. is looking for a Principal Research Scientist to help define and accelerate their machine learning research agenda. This position is ideal for an established researcher who wants to remain at the forefront of machine learning while applying their expertise. The successful candidate will work with quantitative researchers and represent IMC at leading conferences, contributing to publication efforts and guiding future research initiatives. Competitive compensation and access to exceptional datasets and resources will be provided.
Jun 29, 2026
Full time
IMC B.V. is looking for a Principal Research Scientist to help define and accelerate their machine learning research agenda. This position is ideal for an established researcher who wants to remain at the forefront of machine learning while applying their expertise. The successful candidate will work with quantitative researchers and represent IMC at leading conferences, contributing to publication efforts and guiding future research initiatives. Competitive compensation and access to exceptional datasets and resources will be provided.
We are seeking a Principal Research Scientist to help define and accelerate our long term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. Responsibilities Shape the long term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof of concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research direction. Help guide future investments in research tooling, infrastructure and compute capabilities. Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience in a faculty equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist. Deep expertise in modern machine learning and strong awareness of emerging research trends. Experience influencing research direction, mentoring researchers, or leading research initiatives. Strong programming skills and experience with modern machine learning frameworks. Excellent communication skills and the ability to collaborate across disciplines. What We Offer The opportunity to influence the future of machine learning at one of the world's leading trading firms. Access to exceptional datasets, infrastructure and large scale compute resources. Continued engagement with the academic community through conferences, collaborations and publication opportunities. A collaborative environment where research can move rapidly from idea to impact. Competitive compensation that reflects both scientific excellence and commercial impact.
Jun 29, 2026
Full time
We are seeking a Principal Research Scientist to help define and accelerate our long term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. Responsibilities Shape the long term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof of concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research direction. Help guide future investments in research tooling, infrastructure and compute capabilities. Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience in a faculty equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist. Deep expertise in modern machine learning and strong awareness of emerging research trends. Experience influencing research direction, mentoring researchers, or leading research initiatives. Strong programming skills and experience with modern machine learning frameworks. Excellent communication skills and the ability to collaborate across disciplines. What We Offer The opportunity to influence the future of machine learning at one of the world's leading trading firms. Access to exceptional datasets, infrastructure and large scale compute resources. Continued engagement with the academic community through conferences, collaborations and publication opportunities. A collaborative environment where research can move rapidly from idea to impact. Competitive compensation that reflects both scientific excellence and commercial impact.
IMC is looking for a Principal Research Scientist in London to drive machine learning research in their Systematic Equities business. You'll mentor researchers and guide strategic research direction while collaborating on pioneering projects with access to exceptional datasets and computing resources. The ideal candidate will hold a PhD in a related field and have a strong publication record, aiming to influence the future of machine learning at a leading trading firm.
Jun 29, 2026
Full time
IMC is looking for a Principal Research Scientist in London to drive machine learning research in their Systematic Equities business. You'll mentor researchers and guide strategic research direction while collaborating on pioneering projects with access to exceptional datasets and computing resources. The ideal candidate will hold a PhD in a related field and have a strong publication record, aiming to influence the future of machine learning at a leading trading firm.
Principal Research Scientist - Machine Learning London, United Kingdom IMC is one of the world's leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. With access to world class datasets, significant compute resources and a highly collaborative environment, IMC offers a unique opportunity to see cutting edge research translated into real world impact. We are seeking a Principal Research Scientist to help define and accelerate our long term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. Responsibilities Shape the long term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof of concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research direction. Help guide future investments in research tooling, infrastructure and compute capabilities. Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience in a faculty equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist. Deep expertise in modern machine learning and strong awareness of emerging research trends. Experience influencing research direction, mentoring researchers, or leading research initiatives. Strong programming skills and experience with modern machine learning frameworks. Excellent communication skills and the ability to collaborate across disciplines. What We Offer The opportunity to influence the future of machine learning at one of the world's leading trading firms. Access to exceptional datasets, infrastructure and large scale compute resources. Continued engagement with the academic community through conferences, collaborations and publication opportunities. A collaborative environment where research can move rapidly from idea to impact. Competitive compensation that reflects both scientific excellence and commercial impact.
Jun 28, 2026
Full time
Principal Research Scientist - Machine Learning London, United Kingdom IMC is one of the world's leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. With access to world class datasets, significant compute resources and a highly collaborative environment, IMC offers a unique opportunity to see cutting edge research translated into real world impact. We are seeking a Principal Research Scientist to help define and accelerate our long term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. Responsibilities Shape the long term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof of concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research direction. Help guide future investments in research tooling, infrastructure and compute capabilities. Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience in a faculty equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist. Deep expertise in modern machine learning and strong awareness of emerging research trends. Experience influencing research direction, mentoring researchers, or leading research initiatives. Strong programming skills and experience with modern machine learning frameworks. Excellent communication skills and the ability to collaborate across disciplines. What We Offer The opportunity to influence the future of machine learning at one of the world's leading trading firms. Access to exceptional datasets, infrastructure and large scale compute resources. Continued engagement with the academic community through conferences, collaborations and publication opportunities. A collaborative environment where research can move rapidly from idea to impact. Competitive compensation that reflects both scientific excellence and commercial impact.
The Role - What You'll Do You will be part of a cross cultural global team working on a variety of business consulting engagements in Capital Markets. You will be a part of a world class product management team which will help drive innovation and improve user experience in Investment Banking, Private Equity, Asset Management or Wealth Management. You will take up a range of roles in the areas of process consulting, experience design, business analysis, applied AI, tech strategy, program and change management. You will analyse problems and come up with solutions, often creative and out of the box, apply business consulting frameworks and methodologies to address business problems, collaborate with client stakeholders and be responsible for the delivery of business results to clients. Infosys Consulting's Financial Services Practice is seeking an experienced Product Manager/Owner with deep Capital Markets experience to be hired at a Principal Level. As a Principal Consultant, you will assist in the leadership and delivery of engagements. You will build on your experience designing and executing transformation programs, collaborate and interface with client stakeholders daily, and be involved in branding, thought leadership and knowledge management efforts to provide value adding consulting services that enable our clients to meet the changing needs of the global landscape. You will anchor sales proposal preparation and engagement delivery efforts. Here are engagements our Capital Markets consultants are working on Conducting strategic assessments to define future state functional/technical architecture to meet strategic client objectives leveraging Design Thinking and Service Blueprinting approach. Digitalisation of Advisory Platforms covering the end to end Advisory lifecycle from Prospecting to Portfolio Management. Machine learning driven personalisation - life events, investment ideas, service alerts, and assessment of client attrition risk. Virtual Assistant - Cognitive Assistant Pilot (CAP) to guide Financial Advisors and Customer Support Associates in Salesforce. Comprehensive portal to do a "Best Match" and find a Financial Advisor (Individual or Teams) by name, nearby location, gender and International Wealth FAs and teams. Smart App where a prospective client can start a bank relationship, find a Financial Advisor, provide discovery for goal based planning, and schedule an appointment. Social App for the Financial Advisor to create their social media profiles, provide complete user flows for Facebook Business Page Enrolment, LinkedIn Business Page Enrolment and Approver Review. Intuitive Advisor Dashboard that provides an advisor full view of his/her book and action items. Re image Operations User Experience to create an Intelligent Ops dashboard (with KPIs, real time notifications, SLAs, etc.) with direct access to ops systems. Responsibilities Functional analysis/SME for specific journeys in Investment Banking, Asset Management, Private Equity or Wealth Management. Collaborate cross functionally with business partners including engineering, marketing, design, and sales to allow for the smooth and efficient flow of product activities. Work closely with technical departments to ensure user needs are met and resolve issues as they emerge and evolve. Manage the product line life cycle from strategic planning to tactical initiatives for both vended and custom solutions. Set product strategy and influence acceptance and adoption of that strategy with the end user's experience at the centre of their decision making. Specify the market requirements in relation to the business's product for both existing and future products based on market research realised through interactions with clients, consumers and prospective users. Lead or contribute to sales pursuits, consulting offerings and internal initiatives to participate in a variety of firm building events. Bachelor's degree or equivalent required. Prior work experience of 10+ years in management consulting or directly working on advisory business, technology or operational change initiatives in Capital Markets. Demonstrated ability in defining, mobilising and delivering complex change programmes in Investment Banking, Private Equity, Asset or Wealth Management firms. Excellent presentation and facilitation skills with ability to build relationships at senior management and CXO levels. Experience of collaborating with teams comprising both IT and business specialists. Candidates authorised to work for any employer in the United Kingdom without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role currently. Preferred Qualifications / Skills Good depth of knowledge and implementation experience in front to back office processes across product areas and leading products in this space. Ability to interact with Financial Advisors, operations, technology and practice leaders alike to understand business models, pain points, regulatory obligations and craft innovative solutions to drive value while balancing standardisation. Understanding of Advisory Solutions - Firm/Advisory/Client Discretionary Products, SMA, UMA, estate planning, trust services, etc. Experience in UX/UI programmes in Investment Banking, Private Equity, Wealth Management or Asset Management industry to improve client and/or advisor experience. Prior experience working with consulting firms and managing/executing programmes in at least one of the Capital Market areas, will be preferred. Experience working on industry leading managed account solutions/platforms. Demonstrate thought leadership, ability to conceptualise and drive new solution/service offerings and take them to market. Ability and willingness to work as part of a cross cultural team including flexibility to support multiple time zones when necessary. Why Join Us? For the right talent that wants to be part of a diverse team, innovation driven practice and a high performance culture, we offer industry leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Join us today!
Jun 28, 2026
Full time
The Role - What You'll Do You will be part of a cross cultural global team working on a variety of business consulting engagements in Capital Markets. You will be a part of a world class product management team which will help drive innovation and improve user experience in Investment Banking, Private Equity, Asset Management or Wealth Management. You will take up a range of roles in the areas of process consulting, experience design, business analysis, applied AI, tech strategy, program and change management. You will analyse problems and come up with solutions, often creative and out of the box, apply business consulting frameworks and methodologies to address business problems, collaborate with client stakeholders and be responsible for the delivery of business results to clients. Infosys Consulting's Financial Services Practice is seeking an experienced Product Manager/Owner with deep Capital Markets experience to be hired at a Principal Level. As a Principal Consultant, you will assist in the leadership and delivery of engagements. You will build on your experience designing and executing transformation programs, collaborate and interface with client stakeholders daily, and be involved in branding, thought leadership and knowledge management efforts to provide value adding consulting services that enable our clients to meet the changing needs of the global landscape. You will anchor sales proposal preparation and engagement delivery efforts. Here are engagements our Capital Markets consultants are working on Conducting strategic assessments to define future state functional/technical architecture to meet strategic client objectives leveraging Design Thinking and Service Blueprinting approach. Digitalisation of Advisory Platforms covering the end to end Advisory lifecycle from Prospecting to Portfolio Management. Machine learning driven personalisation - life events, investment ideas, service alerts, and assessment of client attrition risk. Virtual Assistant - Cognitive Assistant Pilot (CAP) to guide Financial Advisors and Customer Support Associates in Salesforce. Comprehensive portal to do a "Best Match" and find a Financial Advisor (Individual or Teams) by name, nearby location, gender and International Wealth FAs and teams. Smart App where a prospective client can start a bank relationship, find a Financial Advisor, provide discovery for goal based planning, and schedule an appointment. Social App for the Financial Advisor to create their social media profiles, provide complete user flows for Facebook Business Page Enrolment, LinkedIn Business Page Enrolment and Approver Review. Intuitive Advisor Dashboard that provides an advisor full view of his/her book and action items. Re image Operations User Experience to create an Intelligent Ops dashboard (with KPIs, real time notifications, SLAs, etc.) with direct access to ops systems. Responsibilities Functional analysis/SME for specific journeys in Investment Banking, Asset Management, Private Equity or Wealth Management. Collaborate cross functionally with business partners including engineering, marketing, design, and sales to allow for the smooth and efficient flow of product activities. Work closely with technical departments to ensure user needs are met and resolve issues as they emerge and evolve. Manage the product line life cycle from strategic planning to tactical initiatives for both vended and custom solutions. Set product strategy and influence acceptance and adoption of that strategy with the end user's experience at the centre of their decision making. Specify the market requirements in relation to the business's product for both existing and future products based on market research realised through interactions with clients, consumers and prospective users. Lead or contribute to sales pursuits, consulting offerings and internal initiatives to participate in a variety of firm building events. Bachelor's degree or equivalent required. Prior work experience of 10+ years in management consulting or directly working on advisory business, technology or operational change initiatives in Capital Markets. Demonstrated ability in defining, mobilising and delivering complex change programmes in Investment Banking, Private Equity, Asset or Wealth Management firms. Excellent presentation and facilitation skills with ability to build relationships at senior management and CXO levels. Experience of collaborating with teams comprising both IT and business specialists. Candidates authorised to work for any employer in the United Kingdom without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role currently. Preferred Qualifications / Skills Good depth of knowledge and implementation experience in front to back office processes across product areas and leading products in this space. Ability to interact with Financial Advisors, operations, technology and practice leaders alike to understand business models, pain points, regulatory obligations and craft innovative solutions to drive value while balancing standardisation. Understanding of Advisory Solutions - Firm/Advisory/Client Discretionary Products, SMA, UMA, estate planning, trust services, etc. Experience in UX/UI programmes in Investment Banking, Private Equity, Wealth Management or Asset Management industry to improve client and/or advisor experience. Prior experience working with consulting firms and managing/executing programmes in at least one of the Capital Market areas, will be preferred. Experience working on industry leading managed account solutions/platforms. Demonstrate thought leadership, ability to conceptualise and drive new solution/service offerings and take them to market. Ability and willingness to work as part of a cross cultural team including flexibility to support multiple time zones when necessary. Why Join Us? For the right talent that wants to be part of a diverse team, innovation driven practice and a high performance culture, we offer industry leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you Join us today!
PhysicsX is a deep tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high fidelity, multi physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple levels and positions, however please only apply for the role that best aligns with your skillset and career goals. What you will do Own Research work streams at a high level to deliver outcomes. Align priorities with problem stakeholders, internal and external. Set the technical direction for the stream and apply judgement and taste to drive progress. Plan roadmaps with clear milestones for key decisions and outcomes. Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. Contribute towards Research group strategy and culture. Identify research areas that would be valuable to the company and champion their development, ordering wrt other research objectives. Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. The below activities in particular. Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of physical systems using state of the art machine learning and deep learning techniques. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real world problems. Collaborate with colleagues beyond the research team to translate your models into production ready code. Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non academic audiences. What you bring to the table Ability to scope and effectively deliver projects. Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering. Strong problem solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs; geometric deep learning or other 3D computer vision methods for point cloud or mesh structured data; generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non parametric, scaling to large datasets, etc.). Ideally, >4 years of experience in a data driven role in a professional industry setting, where you have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch / CUDA, ideally with exposure to JAX, NumPy / SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance; combining theoretical reasoning with empirical intuition to guide investigation; formulating and running experiment pipelines to benchmark models and produce comparable results; writing skills for communication complex technical concepts to peers and non peers, tailoring the message for the required audience. Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR. What we offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. Watch this space, we're continuing to build this as we grow We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Jun 24, 2026
Full time
PhysicsX is a deep tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high fidelity, multi physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple levels and positions, however please only apply for the role that best aligns with your skillset and career goals. What you will do Own Research work streams at a high level to deliver outcomes. Align priorities with problem stakeholders, internal and external. Set the technical direction for the stream and apply judgement and taste to drive progress. Plan roadmaps with clear milestones for key decisions and outcomes. Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. Contribute towards Research group strategy and culture. Identify research areas that would be valuable to the company and champion their development, ordering wrt other research objectives. Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. The below activities in particular. Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of physical systems using state of the art machine learning and deep learning techniques. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real world problems. Collaborate with colleagues beyond the research team to translate your models into production ready code. Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non academic audiences. What you bring to the table Ability to scope and effectively deliver projects. Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering. Strong problem solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs; geometric deep learning or other 3D computer vision methods for point cloud or mesh structured data; generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non parametric, scaling to large datasets, etc.). Ideally, >4 years of experience in a data driven role in a professional industry setting, where you have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch / CUDA, ideally with exposure to JAX, NumPy / SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance; combining theoretical reasoning with empirical intuition to guide investigation; formulating and running experiment pipelines to benchmark models and produce comparable results; writing skills for communication complex technical concepts to peers and non peers, tailoring the message for the required audience. Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR. What we offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. Watch this space, we're continuing to build this as we grow We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Principal Data Scientist & Machine Learning Researcher Gloucester London Manchester Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions. Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists t click apply for full job details
Jun 24, 2026
Full time
Principal Data Scientist & Machine Learning Researcher Gloucester London Manchester Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions. Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists t click apply for full job details
Principal AI Platform Engineer UBDS Group delivers modern cloud, data and AI solutions across public and private sector organisations. We design and build scalable, secure and production ready platforms that solve real world problems and deliver measurable outcomes. We're looking for a Principal AI Platform Engineer who combines deep AI architecture expertise with strong engineering capability and technical leadership. This is a senior hands on role for someone who can shape AI platforms and production AI solutions, guide delivery teams and help expand AI engineering as a core capability within UBDS. The Role As a Principal AI Platform Engineer at UBDS, you will lead the design and implementation of AI architectures across complex transformation programmes. What You'll Do Lead the design and implementation of AI architectures Help clients move AI solutions from experimentation into secure production delivery for large scale user bases Define platform standards covering governance, observability, security, orchestration and operational support Support technical discovery, bids and client architecture discussions Work closely with delivery, account and capability teams to shape AI opportunities Mentor and upskill engineers moving into AI engineering delivery Build reusable engineering patterns, accelerators and reference architectures Support internal AI enablement and automation initiatives across UBDS What We're Looking For Essential Experience Strong hands on engineering background with experience delivering secure AI platforms, AI enabled applications or machine learning solutions into production environments Deep understanding of modern AI architecture patterns and real world operational delivery, including MLOps/Evals Strong Python engineering capability and experience working across cloud native engineering environments Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems Experience acting as a senior technical lead, principal engineer or design authority Comfortable working directly with senior client stakeholders Strong mentoring and coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude / Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks and MCP servers Model and data lifecycle management Desirable Experience Experience working within public sector or regulated environments Experience with secure government delivery environments Experience contributing to bids, pre sales or technical strategy Knowledge of responsible AI and AI governance frameworks Experience scaling engineering capability or building new technical practices We do not expect candidates to have deep expertise across every technology listed above. We are looking for individuals with strong real world production AI delivery experience, architectural depth and the ability to adapt across evolving AI ecosystems. Employee Benefits Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more Private medical cover for you and your spouse/partner, offered via Vitality Discretionary bonus based on a blend of personal and company performance Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays Electric Vehicle leasing with salary sacrifice Contributed Pension Scheme Death in service cover Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Jun 24, 2026
Full time
Principal AI Platform Engineer UBDS Group delivers modern cloud, data and AI solutions across public and private sector organisations. We design and build scalable, secure and production ready platforms that solve real world problems and deliver measurable outcomes. We're looking for a Principal AI Platform Engineer who combines deep AI architecture expertise with strong engineering capability and technical leadership. This is a senior hands on role for someone who can shape AI platforms and production AI solutions, guide delivery teams and help expand AI engineering as a core capability within UBDS. The Role As a Principal AI Platform Engineer at UBDS, you will lead the design and implementation of AI architectures across complex transformation programmes. What You'll Do Lead the design and implementation of AI architectures Help clients move AI solutions from experimentation into secure production delivery for large scale user bases Define platform standards covering governance, observability, security, orchestration and operational support Support technical discovery, bids and client architecture discussions Work closely with delivery, account and capability teams to shape AI opportunities Mentor and upskill engineers moving into AI engineering delivery Build reusable engineering patterns, accelerators and reference architectures Support internal AI enablement and automation initiatives across UBDS What We're Looking For Essential Experience Strong hands on engineering background with experience delivering secure AI platforms, AI enabled applications or machine learning solutions into production environments Deep understanding of modern AI architecture patterns and real world operational delivery, including MLOps/Evals Strong Python engineering capability and experience working across cloud native engineering environments Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems Experience acting as a senior technical lead, principal engineer or design authority Comfortable working directly with senior client stakeholders Strong mentoring and coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude / Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks and MCP servers Model and data lifecycle management Desirable Experience Experience working within public sector or regulated environments Experience with secure government delivery environments Experience contributing to bids, pre sales or technical strategy Knowledge of responsible AI and AI governance frameworks Experience scaling engineering capability or building new technical practices We do not expect candidates to have deep expertise across every technology listed above. We are looking for individuals with strong real world production AI delivery experience, architectural depth and the ability to adapt across evolving AI ecosystems. Employee Benefits Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more Private medical cover for you and your spouse/partner, offered via Vitality Discretionary bonus based on a blend of personal and company performance Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays Electric Vehicle leasing with salary sacrifice Contributed Pension Scheme Death in service cover Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
As a Principal Software Engineer at JPMorgan Chase within the Asset & Wealth Management space, you will provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable manner. You will leverage your advanced technical capabilities and collaborate with colleagues across the organization to promote best-in-class outcomes across various technologies, supporting one or more of the firm's portfolios. Job responsibilities Creates complex and scalable coding frameworks using appropriate software design frameworks Develops secure and high-quality production code, and reviews and debugs code written by others Advises cross-functional teams on technological matters within your domain of expertise Drives the adoption of AI technologies to enhance software capabilities and improve user experience Serves as the function's go-to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that are leveraged across teams and functions Influences leaders and senior stakeholders across business, product, and technology teams Champions the firm's culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proven applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Extensive experience in enterprise programming, with a strong understanding of technology and development principles. Proficiency in modern cloud platforms, particularly AWS, with experience in designing and managing scalable cloud-based solutions. Experience in integrating AI and machine learning technologies into software solutions to enhance functionality and user experience. Strong skills in database design, optimization, and maintenance, with experience in ensuring data integrity and performance. Demonstrated experience in leading teams using agile methodologies, such as Scrum or Kanban, to deliver projects efficiently and effectively Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines Ability to present and effectively communicate with Senior Leaders and Executives and understanding of the business Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Prior experience in the financial industry, with an understanding of regulatory requirements and industry-specific challenges. Ability to lead and collaborate with cross-functional teams, including product management, design, and quality assurance, to achieve project goals. Strong analytical and problem-solving skills, with a track record of developing innovative solutions to complex technical challenges.
Jun 20, 2026
Full time
As a Principal Software Engineer at JPMorgan Chase within the Asset & Wealth Management space, you will provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable manner. You will leverage your advanced technical capabilities and collaborate with colleagues across the organization to promote best-in-class outcomes across various technologies, supporting one or more of the firm's portfolios. Job responsibilities Creates complex and scalable coding frameworks using appropriate software design frameworks Develops secure and high-quality production code, and reviews and debugs code written by others Advises cross-functional teams on technological matters within your domain of expertise Drives the adoption of AI technologies to enhance software capabilities and improve user experience Serves as the function's go-to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that are leveraged across teams and functions Influences leaders and senior stakeholders across business, product, and technology teams Champions the firm's culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proven applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Extensive experience in enterprise programming, with a strong understanding of technology and development principles. Proficiency in modern cloud platforms, particularly AWS, with experience in designing and managing scalable cloud-based solutions. Experience in integrating AI and machine learning technologies into software solutions to enhance functionality and user experience. Strong skills in database design, optimization, and maintenance, with experience in ensuring data integrity and performance. Demonstrated experience in leading teams using agile methodologies, such as Scrum or Kanban, to deliver projects efficiently and effectively Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines Ability to present and effectively communicate with Senior Leaders and Executives and understanding of the business Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Prior experience in the financial industry, with an understanding of regulatory requirements and industry-specific challenges. Ability to lead and collaborate with cross-functional teams, including product management, design, and quality assurance, to achieve project goals. Strong analytical and problem-solving skills, with a track record of developing innovative solutions to complex technical challenges.
Site EHS Leader page is loaded Site EHS Leaderlocations: Rugbytime type: Full timeposted on: Posted Todayjob requisition id: JR102391At Arabelle Solutions, part of EDF Group, we're proud to design services and solutions that are generating power not just for today and tomorrow but for generations to come. You'll work alongside passionate bright minds. We offer a broad range of opportunities for those eager to build tomorrow's world. We believe a supportive culture is key to reach common goals. Diversity and an inclusive mindset makes us and our business stronger. Your working environment: The Senior EHS Leader is responsible for shaping and executing the Environmental, Health & Safety strategy for a major heavy-engineering manufacturing site entering a significant period of expansion. As the organisation undertakes a factory extension to enhance steam turbine manufacturing capability, this role will provide strategic oversight, governance, and operational leadership to ensure all construction and manufacturing activities meet the highest standards of regulatory compliance, worker safety, environmental protection, and sustainability.Working collaboratively with key stakeholders such as the UK Country Lead, EXCOM, Rugby Factory Leader, Engineering, and other operational/functional departments , this position is pivotal in embedding a proactive safety culture through Arabelle Solutions Life Saving Principles, strengthening risk management systems, and ensuring seamless integration of EHS requirements across construction, commissioning, and ongoing operations.Rugby is a leading manufacturing site delivering new rotating equipment (generators and steam turbines) as well servicing equipment (repairs, refurbishment and retrofits) for nuclear civil power generation and naval applications.This is a multi-site role (Rugby, Loughborough, Newcastle Upon Tyne and Nether Alderley). Strategic EHS Leadership Develop and deliver the site's long-term EHS strategy aligned to corporate objectives, future growth, and UK/EU regulations. Advise the senior leadership team on EHS matters related to large-scale CAPEX projects, manufacturing risks, and environmental impact. Lead EHS input into the steam turbine factory extension programme, ensuring risk controls are embedded in project design, contractor management, and commissioning. Construction & Expansion Programme Support Serve as the principal EHS authority for the extension project, working closely with project managers, architects, engineering firms, and contractors. Ensure full compliance with CDM regulations. Conduct design-stage EHS reviews. Drive implementation of safe systems of work, construction phase plans, and environmental controls throughout the project lifecycle. Site Security Leadership Own the strategy and daily governance for site security , ensuring the facility remains protected during both normal operations and the high risk construction period. Implement security risk assessments covering physical, personnel, and operational security. Manage access control systems, perimeter protection, CCTV, intruder detection, and security protocols for visitors and contractors. Work collaboratively with other key stakeholders including security team or third-party security providers to ensure high standards of vigilance, professionalism, and incident response readiness. Develop and maintain emergency preparedness and response plans, including fire, security breaches, evacuation, terrorism threats, and business continuity. Liaise with local authorities, emergency services, and relevant national security bodies as needed. Operational EHS Management Ensure robust risk assessment, PUWER compliance, safe operating procedures, and machinery safeguarding-critical in heavy engineering and turbine manufacturing environments. Establish KPIs and monitor EHS performance, ensuring continuous improvement aligned with ISO 45001 and ISO 14001. Environmental Lead environmental strategy including emissions, waste management, water sustainability, and compliance with EA permits. Develop initiatives to improve energy efficiency and support the company's net-zero or decarbonisation goals. Ensure environmental risk assessments (ERA), monitoring, and reporting are robust and future-proof. Culture, Training & Stakeholder Engagement Create a culture of safety ownership at all levels through leadership visibility, communication, and coaching. Lead EHS training and competency programmes, including contractor induction and specialist safety training. Partner with HR, Operations, Engineering, and external regulators (HSE, EA, Local Authorities) to support business critical change programmes. Represent the site during audits, inspections, and at corporate EHS forums. Incident Management & Compliance Assurance Lead incident investigations using root-cause methodologies and drive corrective actions. Ensure statutory inspections, audits, risk assessments, and H&S committee meetings are completed on schedule. Maintain compliance with UK legislation including the Health and Safety at Work Act, COSHH, LOLER, PUWER, RIDDOR, and CDM. Your profile Chartered or working toward Chartered status with NEBOSH. Or, degree in Occupational Health & Safety, Environmental Science, Engineering, or similar discipline. Extensive EHS leadership experience within heavy manufacturing, engineering, or industrial operations. Proven track record supporting large-scale CAPEX construction or factory expansion projects. Deep knowledge of UK EHS legislation, CDM and environmental permitting. Strong leadership presence with the ability to influence at all levels. Strategic thinking with long-term planning capability. Highly skilled in risk management and operational control. Strong communication and stakeholder management skills. Data-driven mindset with a continuous improvement approach. Decisive, resilient, and calm under pressure. Ability to coach, motivate, and develop teams. Desirable Experience in power generation, rotating machinery, or turbine-related manufacturing. Experience with lean manufacturing, Six Sigma, or operational excellence tools. Additional qualifications in fire safety, environmental management, or occupational hygiene.This work is undertaken with UK Defence customers which will require any individual applying for the role to hold or be capable of getting SC Level clearance as a UK Passport holder. Applicants not cleared will not be accepted into the business until this clearance is provided. Dual passport holders are acceptable if the second country is approved by the vetting authority.Join us and work with global teams to support global customers ! At Arabelle Solutions, we have team members of more than 49 nationalities spread across 16 countries.At Arabelle Solutions, we know diversity makes teams and business stronger.Arabelle Solutions believes that investing in employee development is key to our success. Our culture of learning focuses on developing our people and promoting the skills for the future. Thrive in a supportive work culture that is committed to continuous learning. Get In TouchIntroduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match !
Jun 17, 2026
Full time
Site EHS Leader page is loaded Site EHS Leaderlocations: Rugbytime type: Full timeposted on: Posted Todayjob requisition id: JR102391At Arabelle Solutions, part of EDF Group, we're proud to design services and solutions that are generating power not just for today and tomorrow but for generations to come. You'll work alongside passionate bright minds. We offer a broad range of opportunities for those eager to build tomorrow's world. We believe a supportive culture is key to reach common goals. Diversity and an inclusive mindset makes us and our business stronger. Your working environment: The Senior EHS Leader is responsible for shaping and executing the Environmental, Health & Safety strategy for a major heavy-engineering manufacturing site entering a significant period of expansion. As the organisation undertakes a factory extension to enhance steam turbine manufacturing capability, this role will provide strategic oversight, governance, and operational leadership to ensure all construction and manufacturing activities meet the highest standards of regulatory compliance, worker safety, environmental protection, and sustainability.Working collaboratively with key stakeholders such as the UK Country Lead, EXCOM, Rugby Factory Leader, Engineering, and other operational/functional departments , this position is pivotal in embedding a proactive safety culture through Arabelle Solutions Life Saving Principles, strengthening risk management systems, and ensuring seamless integration of EHS requirements across construction, commissioning, and ongoing operations.Rugby is a leading manufacturing site delivering new rotating equipment (generators and steam turbines) as well servicing equipment (repairs, refurbishment and retrofits) for nuclear civil power generation and naval applications.This is a multi-site role (Rugby, Loughborough, Newcastle Upon Tyne and Nether Alderley). Strategic EHS Leadership Develop and deliver the site's long-term EHS strategy aligned to corporate objectives, future growth, and UK/EU regulations. Advise the senior leadership team on EHS matters related to large-scale CAPEX projects, manufacturing risks, and environmental impact. Lead EHS input into the steam turbine factory extension programme, ensuring risk controls are embedded in project design, contractor management, and commissioning. Construction & Expansion Programme Support Serve as the principal EHS authority for the extension project, working closely with project managers, architects, engineering firms, and contractors. Ensure full compliance with CDM regulations. Conduct design-stage EHS reviews. Drive implementation of safe systems of work, construction phase plans, and environmental controls throughout the project lifecycle. Site Security Leadership Own the strategy and daily governance for site security , ensuring the facility remains protected during both normal operations and the high risk construction period. Implement security risk assessments covering physical, personnel, and operational security. Manage access control systems, perimeter protection, CCTV, intruder detection, and security protocols for visitors and contractors. Work collaboratively with other key stakeholders including security team or third-party security providers to ensure high standards of vigilance, professionalism, and incident response readiness. Develop and maintain emergency preparedness and response plans, including fire, security breaches, evacuation, terrorism threats, and business continuity. Liaise with local authorities, emergency services, and relevant national security bodies as needed. Operational EHS Management Ensure robust risk assessment, PUWER compliance, safe operating procedures, and machinery safeguarding-critical in heavy engineering and turbine manufacturing environments. Establish KPIs and monitor EHS performance, ensuring continuous improvement aligned with ISO 45001 and ISO 14001. Environmental Lead environmental strategy including emissions, waste management, water sustainability, and compliance with EA permits. Develop initiatives to improve energy efficiency and support the company's net-zero or decarbonisation goals. Ensure environmental risk assessments (ERA), monitoring, and reporting are robust and future-proof. Culture, Training & Stakeholder Engagement Create a culture of safety ownership at all levels through leadership visibility, communication, and coaching. Lead EHS training and competency programmes, including contractor induction and specialist safety training. Partner with HR, Operations, Engineering, and external regulators (HSE, EA, Local Authorities) to support business critical change programmes. Represent the site during audits, inspections, and at corporate EHS forums. Incident Management & Compliance Assurance Lead incident investigations using root-cause methodologies and drive corrective actions. Ensure statutory inspections, audits, risk assessments, and H&S committee meetings are completed on schedule. Maintain compliance with UK legislation including the Health and Safety at Work Act, COSHH, LOLER, PUWER, RIDDOR, and CDM. Your profile Chartered or working toward Chartered status with NEBOSH. Or, degree in Occupational Health & Safety, Environmental Science, Engineering, or similar discipline. Extensive EHS leadership experience within heavy manufacturing, engineering, or industrial operations. Proven track record supporting large-scale CAPEX construction or factory expansion projects. Deep knowledge of UK EHS legislation, CDM and environmental permitting. Strong leadership presence with the ability to influence at all levels. Strategic thinking with long-term planning capability. Highly skilled in risk management and operational control. Strong communication and stakeholder management skills. Data-driven mindset with a continuous improvement approach. Decisive, resilient, and calm under pressure. Ability to coach, motivate, and develop teams. Desirable Experience in power generation, rotating machinery, or turbine-related manufacturing. Experience with lean manufacturing, Six Sigma, or operational excellence tools. Additional qualifications in fire safety, environmental management, or occupational hygiene.This work is undertaken with UK Defence customers which will require any individual applying for the role to hold or be capable of getting SC Level clearance as a UK Passport holder. Applicants not cleared will not be accepted into the business until this clearance is provided. Dual passport holders are acceptable if the second country is approved by the vetting authority.Join us and work with global teams to support global customers ! At Arabelle Solutions, we have team members of more than 49 nationalities spread across 16 countries.At Arabelle Solutions, we know diversity makes teams and business stronger.Arabelle Solutions believes that investing in employee development is key to our success. Our culture of learning focuses on developing our people and promoting the skills for the future. Thrive in a supportive work culture that is committed to continuous learning. Get In TouchIntroduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match !
Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools. Influence stakeholders by communicating technical options, risks, benefits and evidence-based recommendations. Support capability building, mentoring and continuous improvement of the data science practice. Essential skills and experience Extensive experience designing and delivering advanced data science solutions at scale. Deep understanding of applied statistics, machine learning, model validation and data science product delivery. Strong programming capability and ability to set coding, testing and reproducibility standards. Experience working with data engineering, cloud, architecture and software teams to deliver supported solutions. Strong stakeholder communication skills, including challenging delivery plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience in consulting, public-sector, regulated or high-complexity client environments. What success looks like Complex data science work is delivered with clear standards and measurable business impact. Technical choices are well governed, scalable and aligned to delivery realities. Data science capability grows through mentoring, reusable patterns and shared practice.
Jun 16, 2026
Full time
Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools. Influence stakeholders by communicating technical options, risks, benefits and evidence-based recommendations. Support capability building, mentoring and continuous improvement of the data science practice. Essential skills and experience Extensive experience designing and delivering advanced data science solutions at scale. Deep understanding of applied statistics, machine learning, model validation and data science product delivery. Strong programming capability and ability to set coding, testing and reproducibility standards. Experience working with data engineering, cloud, architecture and software teams to deliver supported solutions. Strong stakeholder communication skills, including challenging delivery plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience in consulting, public-sector, regulated or high-complexity client environments. What success looks like Complex data science work is delivered with clear standards and measurable business impact. Technical choices are well governed, scalable and aligned to delivery realities. Data science capability grows through mentoring, reusable patterns and shared practice.
Information Facilities Management Ltd.
Birmingham, Staffordshire
Senior Product Analyst - Band D - Attachment/FTC (12 months) Department: Product Analytics Locations: Salford, London, Newcastle, Birmingham, Glasgow, Edinburgh, Cardiff, Bristol Salary: up to £59,500 (depending on relevant skills, knowledge and experience) We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage. Purpose of the Role The BBC has been serving audiences online for a quarter of a century. Across key products including iPlayer, Sounds, Bitesize, BBC News and BBC Sport, we entertain, educate and inform audiences in their millions every day. Behind the scenes, we are making the shift from broadcasting to a service shaped by our audiences and designed around their wants and needs. We are creating personalised products and services that bring the right content to the right people at the right times- a personalised BBC. Data is fundamental to our future and in Product Analytics we help shape that future by harnessing broad and exciting data sets to understand the experiences and needs of our audiences, providing data driven insights that help Product Group create richer, more personalised experiences that our audiences love. Key Responsibilities and Impact Build a clear understanding of our audiences' experience and needs to guide product design and development Work closely with product managers, engineers and business analysts, championing data and taking the lead in understanding problem areas and working collaboratively on solutions Develop and mentor members of the wider team Support decision making across the Product Group by gaining a broad understanding of our Product portfolio and working flexibly to support business goals Build and maintain dashboards and reports to facilitate data led decision making Support experimentation by working with product and engineering teams to set up and run experiments, and analyse and draw insight from the results Proactively look for opportunities to optimise audience experience and drive engagement Work to improve and shape our data analysis capabilities through automating data pipelines and working to understand and resolve any data issues Advocate for the value of data in driving effective decision making Your Skills and Experience Essential Significant experience in an analytical role, preferably in digital products Proactive self starter, focused on working strategically and for maximum value Advanced SQL skills, experience working with very large and complex datasets and working knowledge of how digital products use experimentation A focus on collaboration and thrives working as part of a cross functional team, ability to mentor and develop others Excellent data visualisation skills and experience with tools such as Tableau Desired Knowledge of R or Python Experience working with on demand audio media products Familiarity with agile or other rapid application development methods Experience with Data Science & Machine Learning and an understanding of data pipelines and/or data modelling Experience with Optimizely integrations and tooling Excellent time management skills and the ability to prioritise effectively Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. This listing expired on 16 Mar. Applications are no longer accepted.
Jun 15, 2026
Full time
Senior Product Analyst - Band D - Attachment/FTC (12 months) Department: Product Analytics Locations: Salford, London, Newcastle, Birmingham, Glasgow, Edinburgh, Cardiff, Bristol Salary: up to £59,500 (depending on relevant skills, knowledge and experience) We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage. Purpose of the Role The BBC has been serving audiences online for a quarter of a century. Across key products including iPlayer, Sounds, Bitesize, BBC News and BBC Sport, we entertain, educate and inform audiences in their millions every day. Behind the scenes, we are making the shift from broadcasting to a service shaped by our audiences and designed around their wants and needs. We are creating personalised products and services that bring the right content to the right people at the right times- a personalised BBC. Data is fundamental to our future and in Product Analytics we help shape that future by harnessing broad and exciting data sets to understand the experiences and needs of our audiences, providing data driven insights that help Product Group create richer, more personalised experiences that our audiences love. Key Responsibilities and Impact Build a clear understanding of our audiences' experience and needs to guide product design and development Work closely with product managers, engineers and business analysts, championing data and taking the lead in understanding problem areas and working collaboratively on solutions Develop and mentor members of the wider team Support decision making across the Product Group by gaining a broad understanding of our Product portfolio and working flexibly to support business goals Build and maintain dashboards and reports to facilitate data led decision making Support experimentation by working with product and engineering teams to set up and run experiments, and analyse and draw insight from the results Proactively look for opportunities to optimise audience experience and drive engagement Work to improve and shape our data analysis capabilities through automating data pipelines and working to understand and resolve any data issues Advocate for the value of data in driving effective decision making Your Skills and Experience Essential Significant experience in an analytical role, preferably in digital products Proactive self starter, focused on working strategically and for maximum value Advanced SQL skills, experience working with very large and complex datasets and working knowledge of how digital products use experimentation A focus on collaboration and thrives working as part of a cross functional team, ability to mentor and develop others Excellent data visualisation skills and experience with tools such as Tableau Desired Knowledge of R or Python Experience working with on demand audio media products Familiarity with agile or other rapid application development methods Experience with Data Science & Machine Learning and an understanding of data pipelines and/or data modelling Experience with Optimizely integrations and tooling Excellent time management skills and the ability to prioritise effectively Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. This listing expired on 16 Mar. Applications are no longer accepted.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jun 02, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jun 02, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jun 02, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
