4 of 4 Synthetic Data Jobs in the Thames Valley

team is drawn from the world’s top physical AI specialists and led by originators of the field. Your Role: We are hiring a Data Engineer to help build the systems that prepare, curate, and scale training and evaluation data for machine learning in autonomous driving. You will … work across the full data lifecycle, from raw vehicle logs and simulation outputs to curated, labelled, and model-ready datasets. This includes handling multimodal sensor data, scaling labelling through both human and ML-based workflows, and enabling intelligent selection of high-value data from thousands of hours ...

will formulate, train and deploy machine learning models for robotic systems that perceive the world through vision and sensors, learn structured representation in data, and operate reliably in real‐world industrial environments. You’ll translate research into clean, production‐grade software that improves system performance and accelerates deployment. … reducing unnecessary complexity with scalable and reliable designs. You’ll push beyond incremental improvements by applying ideas from foundation models and generative AI, leveraging synthetic data generation, and validating results on real robots. Your work will raise the bar for capability, reliability, and speed of iteration. Responsibilities ...

think beyond incremental improvements and apply modern machine learning techniques to solve complex industrial challenges. This includes leveraging foundation models, generative AI approaches, synthetic data generation, and scalable ML infrastructure to improve robotics capability and deployment speed. A key responsibility will be developing robust neural network architectures focused … operate effectively in real time robotics applications. In addition, the Applied Scientist/ML Engineer will contribute to the design and maintenance of data pipelines covering collection, ingestion, curation, versioning, and synthetic data generation. The ability to create scalable and maintainable ML workflows will be highly valuable ...

into proof‐of‐concepts and demonstrators Ensure high research quality through reproducibility and documentation Required Skills PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Demonstrated research background in AI/ML, particularly in LLM or agentic AI, with either publications, preprints … both technical and non‐technical audiences Nice to Have Research experience in areas such as large language models (e.g., training, fine‐tuning, RAG, evaluation, synthetic data generation), agentic AI, big data technologies, or digital twins Familiarity with emerging research and tooling ecosystems such as LangChain, LangGraph, SmolAgents ...