6 of 6 Model Validation Jobs in the Thames Valley

based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering to operationalise models through containerised MLOps environments (Kubernetes, CI/CD), enabling continuous learning, automated retraining … real-time model validation across the enterprise. Stakeholder Engagement Partner with senior leaders across Finance, Actuarial, Claims, and Investment to define analytical priorities that align with Enstar's strategic goals. Present findings clearly and persuasively — transforming complex analytics into actionable recommendations for the Executive Committee and Board. ...

forecast demand, optimise staffing, and improve operational performance across thousands of venues. Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring. Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models. Partner with engineers ...

performance, and scalability strategies to support the various business capabilities. • Share perspectives about best practices, common technical issues & approaches. • support high level logical data model definition and discussions to ensure feasibility with MDG. ...

materials scientists, identifying meaningful features and translating complex datasets into impactful insights. You will also help advance our internal ML platforms to support model adoption and scale. In this role, you will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools … such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management. Work within an agile development environment and help prioritise high-value opportunities for rapid delivery. Essential Skills Bachelors degree (2:1 or above) in a STEM field Strong Python development skills Hands ...

perception, and high-level planning. Configure and extend robotic middleware and interfaces (e.g., ROS 2 or similar) Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs. Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence. … frameworks, navigation, or multi-sensor integration. Familiarity with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs. Strong Mechatronics understanding Exposure to simulation and validation tools for robotic systems. Knowledge of Machine Learning principles for perception or control. Offices and Lab located in Oxford. Hybrid working c.3 days ...

designs, evaluates and enhances models that directly influence how execution strategies behave across global markets. This role suits someone who enjoys combining quant research, model development, and hands-on coding, with responsibilities spanning performance analysis, model refinement, and implementation of strategy logic. What you'll be working … within a Java-based algorithmic framework Conducting Python-based research, prototyping, and backtesting Collaborating closely with global quant and engineering teams (including Asia) Explaining model behaviour and insights to internal stakeholders and clients What we're looking for 3-5+ years in a relevant quant developer/algo ...