5 of 5 Permanent Synthetic Data Jobs in London

Sr. Data Engineer – Industry 4.0 We are hiring a senior Data Engineer to lead the development of intelligent, scalable data platforms for Industry 4.0 initiatives. This role will drive integration across OT/IT systems, enable real-time analytics, and ensure robust data governance and quality … functional teams to support AI/ML, GenAI, and IIoT use cases in manufacturing and industrial environments. Key Responsibilities Architect and implement cloud-native data pipelines on AWS or Azure for ingesting, transforming, and storing industrial data. Integrate data coming from OT systems (SCADA, PLC, MES, Historian ...

Principal Product Manager - Data Innovation £125,000-£150,000 + Bonus Fully Remote in The UK (With occasional US Travel) The Company This role sits within a global research technology platform operating at the intersection of data, media measurement, and advanced analytics. The organisation operates at significant scale … across international markets, supporting enterprise clients with data-driven solutions. Responsibilities: * Define and champion a multi-year product vision for a Data Innovation portfolio, driving adoption, revenue growth, and market penetration * Identify, size, and validate product opportunities through customer research, market analysis, and data insights * Translate complex ...

motor policies using Behavior Cloning and RL . Scale VLA Research: Lead pre/post-training on our Vision-Language-Action (VLA) stack. Engineered Data: Build automated pipelines to ingest teleop logs/synthetic data, apply weak-supervision , and curate high-quality datasets. Failure Analysis: Systematically identify ...

motor policies using Behavior Cloning and RL . Scale VLA Research: Lead pre/post-training on our Vision-Language-Action (VLA) stack. Engineered Data: Build automated pipelines to ingest teleop logs/synthetic data, apply weak-supervision , and curate high-quality datasets. Failure Analysis: Systematically identify ...

deepfake-detection models. Train and benchmark large-scale vision-language models for document extraction. Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton. Profile, debug and improve model training speed on multiple GPUs. Create a large-scale dataset ...