9 of 9 Synthetic Data Jobs in England

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 ...

appropriate testing methodologies, performance metrics, and evaluation techniques Assess AI systems against governance frameworks and responsible AI principles , including bias detection and mitigation Perform data testing , including synthetic data generation, data quality assessment, and test data management Identify, document, and manage defects through the full … defect lifecycle , including creation, review, assessment, confirmation testing, and closure or deferral Collaborate with data scientists, engineers, and stakeholders to ensure testing outcomes are clearly communicated and actioned Required Skills & Experience Proven experience in QA/testing of AI and ML systems Strong understanding of AI model validation, testing ...

PRINCIPAL PRODUCT MANAGER - DATA INNOVATION UK (Remote) | £125k-£150k + 10% Bonus COMPANY Global ResTech leader. €1.3B valuation. 800 employees. World's largest programmatic insights marketplace for Fortune 500 brands . THE ROLE Principal PM (Director-level scope) . Senior IC. Build 0-1 AI/ML data products . Focus: Synthetic Data, Data Collaboration, and Media Measurement . Lead high-level strategy and technical execution with Data Science teams. WHAT YOU'LL DO Strategy: Own Data Innovation vision, adoption, and revenue. 0-1 Building: Validate opportunities and build production-ready ...

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 ...

multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets, adversarial evaluation corpora, and scenario-based test sets. Help transition research outputs into scalable controls for engineering teams to integrate. Design, run, and document high … teaming, or uncertainty estimation. Knowledge of AI governance, risk frameworks, or industry standards (e.g., NIST AI RMF, ISO/IEC 42001). Experience with synthetic data generation or test corpus construction. Familiarity with experiment tracking tools (Comet/Opik,, MLflow, SageMaker Experiments). Interest in governance, risk ...

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 ...

experimental science. The team is pioneering large-scale language models that reason, adapt, and accelerate discovery workflows. They are combining experimental validation, synthetic data generation, and scalable infrastructure to push the boundaries of autonomous research. This is a rare chance to be part of the founding team, shaping ...

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 ...