1 to 25 of 29 Remote/Hybrid Synthetic Data Jobs in England

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. Our Future Health … 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 web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health ...

autonomous driving research. The team’s mission is to accelerate AV2.0 by incubating capabilities that become company-level advantages — generative world models and the synthetic data they produce are one of those. The goal of this role is to build, scale, and optimise next-generation world model architectures … GAIA and successors) and bridge them into high-throughput generation and training infrastructure, so synthetic data can dramatically accelerate autonomy development. You will post-train world models for new embodiments and behaviours (rig transfer, pose transfer, dashcam restaging), generate multimodal synthetic experience at scale, and land that ...

Title: Senior Data ScientistJob Location: Salford Quays, ManchesterJob Type: Permanent, Full-timeJob ID: SF19357Naimuri is offering the chance to help make the UK a safer place through innovation. We partner with government and law enforcement on some of the most challenging data and technology problems out there … looking for a Senior Data Scientist to join our mission. We strongly encourage candidates of all different backgrounds and identities to apply. We are committed to building an inclusive, safe and supportive environment that allows everyone to do their best work. We are happy to support any accessibility ...

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 ...

based knowledge graph construction pipelines that extract and link heterogeneous legal knowledge including citations, entities, and legal concepts across diverse legal content. Develop scalable synthetic data generation systems to support model training, simulate complex legal research queries and generate hallucination-free answers. Work in collaboration with engineering … ensure well-managed software delivery and reliability at scale. Evaluate & Optimize: Develop comprehensive data and evaluation strategies for both component-level and end-to-end quality, leveraging expert human annotation and synthetic data generation. Apply robust training and evaluation methodologies that balance model performance with latency requirements ...

effect. Customers want to promote working with Warden because it helps them win their own deals. About the role We're hiring a Senior Data Scientist/Senior Applied Scientist to run highly defensible bias audits of high-stakes AI systems, used everywhere from startups to industry-leading enterprises. … with regulators, courts, customers and candidates, and the methodology behind them has to hold up. The role spans AI system evaluation, rigorous statistical analysis, synthetic data generation, and an applied understanding of hiring and selection procedures. You’ll join a team with deep expertise in behavioral and social ...

DescriptionThe AI Revenue Growth Manager will lead commercial development and revenue generation for Keywords AI Data Services across the UK and EMEA, identifying, qualifying and closing new business opportunities with frontier AI labs and physical/embodied AI customers. Reporting directly to the General Manager of Keywords AI Data … scaling of Keywords' newest service line. The role combines strategic market hunting, consultative solution selling and trusted advisory relationship-building, translating Keywords' proprietary data networks, specialist labour pools and AI service capabilities into measurable client outcomes and a predictable, defensible revenue pipeline. The named target landscape includes frontier ...

Revenue Growth Manager# AI Revenue Growth ManagerThe AI Revenue Growth Manager will lead commercial development and revenue generation for Keywords AI Data Services across the UK and EMEA, identifying, qualifying and closing new business opportunities with frontier AI labs and physical/embodied AI customers. Reporting directly … General Manager of Keywords AI Data Services, this is a senior individual contributor role, mission-critical to the launch and scaling of Keywords’ newest service line. The role combines strategic market hunting, consultative solution selling and trusted advisory relationship-building, translating Keywords’ proprietary data networks, specialist labour pools ...

industry due to work in seas Why this role matters Our customer partners with UK Central Government and Defence to deliver trusted, value-driven data and AI outcomes. We're recruiting a Senior Data & AI Governance Consultant to help clients build robust data governance foundations and adopt … under broad direction to deliver engagements, advise on good practice, and create practical artefacts-policies, standards, operating models, and evaluation frameworks-that measurably improve data quality, model reliability, risk posture, and compliance. What you'll do Delivery & client engagement (SFIA L4 - Enable) Deliver data governance workstreams: policies & standards ...

Revenue Growth Manager will lead commercial development and revenue generation for Keywords AI Data Services across the UK and EMEA, identifying, qualifying and closing new business opportunities with frontier AI labs and physical/embodied AI customers. Reporting directly to the General Manager of Keywords AI Data Services … scaling of Keywords’ newest service line. The role combines strategic market hunting, consultative solution selling and trusted advisory relationship‐building, translating Keywords’ proprietary data networks, specialist labour pools and AI service capabilities into measurable client outcomes and a predictable, defensible revenue pipeline. The named target landscape includes frontier ...

Improve model performance, efficiency and scalability Develop solutions capable of operating on constrained edge hardware Work with large-scale image and sensor datasets Support synthetic data generation and model evaluation Contribute to technical direction and machine learning best practice across the business Requirements Commercial experience developing machine learning … world machine learning challenges Desirable Skills CUDA TensorRT Triton Quantised model training Edge AI deployment Computer Vision Robotics or autonomous systems Advanced C++ development Synthetic data generation What We're Looking For Strong software engineering foundations Passion for machine learning and computer vision Ability to balance research ...

Machine Learning Engineer to advance world models for autonomous driving. You will bridge research and engineering, post-train GAIA-class models, and scale synthetic data generation for training pipelines. You will work with researchers and platform engineers to optimize generation, evaluation, and training at scale, in a hybrid ...

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 ...

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 ...

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 ...

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 is the dedicated core Machine Learning research division of Thomson Reuters. We are focused … 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 ...

unmanned technology, where cutting-edge advancements meet unparalleled innovation. Digital | Defence | Security | Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space. We offer a unique surveillance … Engineer to join our Sensing team. You'll integrate third-party sensors — including military-grade sensing payloads — into our platforms, build and tune the data/sensor fusion and geolocation plugins of our pipelines, meant to turn raw detections into reliable tracks, and ship production C++, Rust and ROS2 ...

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. ...

Lead the development of hybrid algorithmic software in C++, MATLAB, Mathematica, and Python. Design, adapt, and evaluate hybrid algorithms for sensor modelling, processing, data fusion, tracking, state estimation, and anomaly detection. Apply time- and frequency-domain methods, including Fourier analysis, digital sampling, and filter design. Review recent research … translate novel techniques into practical ASP/PNT solutions. Improve the robustness of traditional algorithms for challenging, real-world data and systems. Use machine learning where it adds value, particularly for non-linear dynamics and complex system behaviour. Support proposals, bids, and project delivery for research and development activities. ...

Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also … advanced LLMs and VLMs, including multimodal architectures Research and implement training methods for enhanced capabilities like instruction following and tool use Design and optimize data pipelines and training systems for large-scale distributed training Collaborate with cross-functional teams to integrate models into agentic AI systems Evaluate model performance ...

models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan production and Robotaxi). … parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning. Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviors, and implement data schemes to support training. Run and analyse on-road and offline experiments, translate results into clear ...

world-leading technology organisation, focusing on AI and machine learning research. You'll be embedded in a cutting-edge team working on LLMs, RL, synthetic data, and multi-agent systems. This unusually research-heavy engineering role involves building robust infrastructure to support experiments and deploying production-quality code ...

create lasting value. In this role, you will Design and deploy advanced agentic systems and workflows, establishing governance models for permissions, context-sharing and data access. Architect enterprise-scale agent deployments on leading AI platforms, creating trust layers and cross-agent governance frameworks that enable responsible AI adoption. Define … orchestration patterns, state management strategies, tool-calling frameworks and resilience models for complex AI ecosystems. Establish AI quality engineering practices, including agent evaluation frameworks, synthetic data strategies and agentic testing methodologies. Design and scale enterprise knowledge architectures, ontologies and retrieval systems that enable trustworthy, context-aware AI experiences. ...

Research Engineer to advance AI research and ML systems. The role blends hands-on engineering with rigorous experimentation on large models, reinforcement learning, synthetic data, and multi-agent setups. You will work within a world-leading technology organization, contributing to cutting-edge infrastructure and research initiatives ...

camera and network integration (including streaming protocols such as RTSP or ONVIF), real-time video analytics, edge deployment, or R&D infrastructure such as synthetic data pipelines and evaluation tooling So What's Next? If you are a Senior Software Engineer with strong skills in Python, Linux, Docker ...