7 of 7 Synthetic Data Jobs in the South East

Senior Data Scientist Remote (UK or EU) This is a rare opportunity to join a newly formed team building applied Generative AI products that sit at the heart of a company's future data and insights strategy. You will play a senior, hands-on role shaping how synthetic data and LLMs are used in real-world, commercial environments, with high autonomy and clear ownership from day one. The Company They are a global technology business operating at the intersection of data, research, and AI. Their platform enables organisations to generate high-quality insights using large ...

Senior Data Scientist London - Remote The Company They are a global, data-driven technology business operating at the intersection of AI, advanced analytics and large-scale data platforms. Their products are used internationally to generate insight from complex datasets and to support better decision-making. With … teams. The Role Lead the research, development and validation of advanced machine learning models, including Generative AI and large language models. Design and deliver synthetic data and data augmentation solutions that enhance existing data assets. Run complex statistical experiments to test model performance and validate hypotheses. ...

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 ...

cloud and edge platforms Design, curate, and manage image/video datasets for training and evaluation Develop and maintain annotation workflows and tooling Create synthetic data pipelines (including generative approaches) to augment real-world datasets Stay current with emerging tools, methods, and best practices in CV/… Analytical mindset with strong problem-solving ability Clear communicator who works well in a collaborative team Nice to Have Experience with real-world sensor data (e.g., RGB-D, thermal, radar) Model optimisation/deployment tooling (ONNX, TensorRT) Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices) Familiarity ...