1 to 25 of 37 Synthetic Data Jobs in England

Test Data Lead - Leeds (Hybrid) Test Data Management/Data Masking/Synthetic Data/Financial Services Salary/Rate: £400-£500 (12-month contract) Location: Leeds (2-3 days per week onsite) Start: ASAP Duration: 12-month contract with strong likelihood of extension … services organisation as they continue to deliver a major Core Transformation Programme. Due to continued growth, they are looking to appoint an experienced Test Data Lead to head up their Quality Engineering Test Data capability, leading a team responsible for delivering secure, compliant and scalable test data ...

Test Data Lead - Leeds (Hybrid) Test Data Management/Data Masking/Synthetic Data/Financial Services Salary/Rate: £400-£500 (12-month contract) Location: Leeds (2-3 days per week onsite) Start: ASAP Duration: 12-month contract with strong likelihood of extension … more information, please call , or email me at This is an exciting opportunity to shape the future Test Data strategy while leading a team focused on data masking, synthetic data and test data provisioning using modern tooling. WHAT YOU WILL BE DOING? As the Test ...

Overview Do you want to apply data science to one of the most important challenges in health research: enabling safe use of sensitive data at scale? In this role, you’ll develop privacy and security controls that protect participants while helping researchers generate insights faster and more safely. … biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power websites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health ...

customers through diverse business units, KBR offer challenging assignments on some of the world's largest and most complex projects. We are seeking a Data Lead for a 7 month assignment, based in Leatherhead, Surrey JOB DESCRIPTION Job Purpose KBR are a global technical solutions provider with … services. Estates Intelligence teams utilise the 6 As Methodology to deliver business benefit by deploying their Viaverse platform to enable each A aggregation of data, automation of transactional processing and operational data flows, assurance of process and data integrity to promote sanctity of management information, audit ...

that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities … major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production. Your central focus is how we blend data and shape model behaviour after pre-training. You will fuse high-value human expert data with synthetic data, and you will ...

experiments, and drive breakthroughs all the way into production. You will develop models that reason about document layout by fusing expert, real world and synthetic data, while leading efforts to make our translation highly steerable and adaptable. You will: Drive the development of vision and multimodal models … model post‐training, knowledge distillation (teacher‐student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modeling). Strong data‐centric instincts for building synthetic‐data and preference‐data pipelines, Model‐as‐judge generation, data curation and filtering, data ...

that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities … experiments, and drive breakthroughs all the way into production. You will develop models that reason about document layout by fusing expert, real world and synthetic data, while leading efforts to make our translation highly steerable and adaptable. You will: Drive the development of vision and multimodal models ...

stage of our VLM and VLA-based framework powering the fleet across wheeled and bipedal platforms. You will define the base model strategy — architecture, data mixture, and scaling — and lead a team of research engineers training foundation policies on a diverse, multi-embodiment corpus of real-world trajectories, teleoperation … synthetic data, and internet-scale video and language data. The base models you deliver are the substrate every downstream team fine-tunes for locomanipulation, so your decisions shape the capability ceiling of every robot we ship. What You'll Do Own the VLA pretraining roadmap ...

join our AI Platform team and help build the GenAI platform that powers every AI feature at Flo. You will bridge core infrastructure, data engineering, and LLM development to deliver production-grade medical safety judges, fine-tuning pipelines, evaluation frameworks, and real-time personalisation. The team operates 60+ … Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain models (Llama, Gemma, MedGemma) and manage model serving at scale on Databricks Data and Evaluation Pipelines: build synthetic Q&A generation, golden test sets, reward function engineering, and Delta table schemas in Unity Catalog for reliable ...

platforms that Wayve uses to develop, evaluate, and validate the AI Driver. This includes open and closed loop simulation platforms, the evaluation test platform, synthetic data production, critical event pipelines, validation, and the workflows that connect them You will directly lead and indirectly influence sub team platform leads … across Simulation, Evaluation, Data, and Validation to convert a complex set of cross-cutting initiatives into a single, opinionated product strategy The job is part developer-tools PM (your users are engineers and scientists who will tell you immediately when something is slow, wrong, or in the way), part ...

Future Health Limited in London is seeking a Senior Data Scientist specialising in privacy, security and risk modelling to design, build and scale data‐driven controls that protect participants while enabling cutting‐edge research. This hands‐on role combines data science with engineering to create safe outputs … identification risk assessment, synthetic data and governance‐aligned solutions. You will collaborate across Product, Security, Engineering, Science, Data Protection and #J-18808-Ljbffr ...

markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value … product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. The Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning ...

training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc.) Data-centric Machine Learning (Synthetic data, curriculum learning, learned data mixtures, etc.) Evaluation (Benchmarking best practices, humans/LLMs as a judge … serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters ...

will own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs into production. You will fuse high-value human data with synthetic data, guiding models to follow user instructions and context at scale. #J-18808-Ljbffr ...

lead fine-tuning, post-training, model steerability, and reinforcement learning for the next generation of translation models. You will fuse high-value human data with synthetic data and drive breakthroughs from research to production at scale. You will work with architectures at hundreds of billions of parameters ...

hiring a Senior Research Scientist to lead fine-tuning, post-training, and RL for its next-generation translation models. You will blend human expert data with synthetic data to steer models according to user instructions and context, working on models with hundreds of billions of parameters. ...

foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research We are focused on research and development, with a particular focus on advanced algorithms … training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination ...

equally comfortable writing production code, presenting technical solutions to C-level executives, and debugging complex AI systems on factory floors or in customer data centers. You've shipped voice agents, video processing systems, or conversational AI to production. You thrive translating ambiguous business requirements into concrete technical solutions that … APIs and custom SDKs (Python, TypeScript) Act as trusted technical advisor to customers, shaping AI strategy and guiding roadmap decisions from concept to production Data Strategy & MLOps Infrastructure Design data architectures with efficient processing pipelines and ingestion workflows for training and inference on aion's platform Implement ...

latency and accelerate training cycles. Implement robust profiling and debugging pipelines to diagnose bottlenecks in GPU memory, compute, and inter-node communication. Collaborate with data and evaluation teams to design dense reward functions and synthetic data generation pipelines. Design, benchmark, and deploy highly optimized custom tensor operators … Huawei Research and Development UK Limited. Person Specification Required Master's or PhD (or equivalent industry research experience) in Machine Learning, Computer Science, Data Science, or a highly quantitative field with a heavy focus on Machine Learning. Deep proficiency in PyTorch and experience writing custom training loops and data ...

optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national security projects. ...

Modelling in London, UK. Business Unit Mission M3 MR, part of M3 Inc., provides the most comprehensive and highest-quality healthcare market research recruitment, data collection, and insight support services globally. With proprietary access to healthcare professionals and patient communities across more than 70 countries, M3 MR partners with … decision-ready insights at speed and scale. M3 MR holds ISO 20252, ISO 27001, and ISO 27701 certifications, reflecting the group’s commitment to data quality, respondent integrity, information security, and operational excellence across quantitative and qualitative methodologies. The group combines deep healthcare expertise, advanced technology platforms, and global ...

agent behaviours in the wild and contribute to research projects. You will write production-grade Python, design scalable benchmarks, and extend evals to new data, drawing on experience creating LLM benchmarks and synthetic data, with strong experimental rigor and #J-18808-Ljbffr ...

foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company’s code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. … deep expertise in reinforcement learning and reasoning to guide, shape, and advance agentic behavior, enabling them to tackle complex, multi-step tasks reliably. Create Synthetic Worlds: Contribute to the creation of synthetic world models and complex simulation environments where agents can train, experiment, and learn at a massive ...

degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience. A track record of building AI products in a systematic, data‐driven way with at least two years of industry experience or equivalent Hands‐on experience building and evaluating LLM‐powered products that reached real … practices. Understanding of prompt engineering principles and techniques Experience with systematic LLM evaluation techniques – for example, golden/regression datasets, LLM‐as‐judge pipelines, synthetic data for evaluation, structured error analysis, human‐in‐the‐loop review with domain experts (indicative, not exhaustive) Strong communication skills, including the ability ...

approaches to identify effective solutions. Analyse datasets, model performance, and system behaviour to improve algorithm capability. Support the development of automated workflows for data processing, training, testing, and evaluation. Contribute to the integration and deployment of algorithms within advanced software systems. Share technical knowledge, mentor colleagues, and contribute … obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management, or CI/CD pipelines. Automation ...