26 to 50 of 67 Synthetic Data Jobs in the UK

Cognizant's Quality Engineering & Assurance (QE&A) Practice is seeking a skilled Test Data Management professional to join enterprise-scale data programs. You will work with mainframe Db2, Oracle and SQL, and help embed data provisioning into CI/CD pipelines, ensuring compliant handling of test data under GDPR and DPA. You will design virtual data copies with Delphix, automate data refresh cycles, and generate synthetic data to support testing while maintaining referential integrity. #J-18808-Ljbffr ...

time. Seven model releases since December 2024, including the first real-time synchronised audio-and-video world model and a four-player shared world. Data is fast becoming one of the biggest bottlenecks in building world models. Models are only as good as the data behind them … getting that data right is one of the hardest and most important problems any research lab has. What you'd own Curating large-scale multimodal datasets across video, robotics and audio to train flagship models The selection logic: filtering, deduplication, quality scoring, captioning and shot detection. The decisions that ...

training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role … familiarize yourself with a new domain quickly. What You'll Do Post-train policies via behaviour cloning and RL; own the full loop from data to deployment. Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure ...

training and deployment workflows. You’ll work end‐to‐end across model adaptation and post‐training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints. This role sits in Applied Science, with direct impact on client outcomes. … customer‐facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others. Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply. What You Will Do Build and improve post‐training and evaluation workflows ...

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 ...

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 ...

more): Native multimodal modelling (vision-language, audio-vision, cross-modal) Pre-training/post-training (SFT, DPO, RLHF/RLAIF) at scale Data engineering & synthetic data pipelines Agentic frameworks, reasoning, tool use, memory systems Evaluation & benchmarking (LLM-as-judge, safety/alignment metrics) Inference optimisation (quantization, distillation ...

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 ...

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 ...

agentic AI workflows, frameworks, and approaches. Preferred qualifications: Master's degree or PhD in Computer Science, Machine Learning, or a related field. Experience with data collection, model fine-tuning, and evaluation. Experience with inference optimization techniques or extensive prompt tuning. Track record of publication at leading conferences … institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. ...

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 ...

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. ...

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. ...

designing evaluation frameworks for real-world applications. Experience providing technical leadership to execute research from concept to product. Experience with clinical and healthcare workflows, data, and environments. Experience partnering with vendors for data and rubric curation in real-world domains, and generating synthetic data and rubrics. ...

designing evaluation frameworks for real-world applications. Experience providing technical leadership to execute research from concept to product. Experience with clinical and healthcare workflows, data, and environments. Experience partnering with vendors for data and rubric curation in real-world domains, and generating synthetic data and rubrics. ...

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 ...

play a key role in shaping how perception software is built, deployed, validated and supported across real‐world maritime operations, turning raw sensor data from camera, sonar, and other sources into reliable outputs that autonomy, navigation, simulation and operational teams can depend on. What you will do Develop, maintain … improve perception pipelines that turn raw camera, sonar and other sensor data into reliable outputs for the wider robotics and autonomy stack. Integrate perception components into ROS2‐based robotics software, working closely with platform engineers on shared interfaces. Build image‐processing and sensor‐processing components that support autonomy, navigation ...

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 ...

Your Role You'll be a force multiplier for the Pre-sales organization. You'll own how Zip demos end to end: the environments, data, scripts, and certification standards that let any Solution Engineer deliver a technically credible demo quickly and consistently. You will be responsible for developing … great demo looks like at Zip. What You'll Do Own demo environment build and operations: Design, build, and maintain the demo environments, data sets, demo pathways, and demo scripts every SEs uses. Build self-service tooling and templates: Turn demo-builds into packages assets that ...

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 ...

Artificial Intelligence and Machine Learning solutions for defence, security and other demanding operational environments. Our client has a highly experienced team of Software Engineers, Data Scientists, Machine Learning specialists and Researchers. The company is growing rapidly and is now looking for a highly capable individual to work closely with … quickly understand technical concepts such as: EO, IR, SAR and RF sensors. The electromagnetic spectrum. Mathematical models. Edge deployment. Machine Learning training data. Synthetic data and simulation. Once up to speed, the Chief of Staff will need to feel comfortable discussing these areas with customers and supporting technical ...