26 to 36 of 36 Model Validation Jobs in the UK excluding London

Engineering Analyst, Data Analyst, Data Scientist, Mechanical engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity Are you an engineer with a passion for data-driven problem solving and structural analysis? I More ❯

Engineering Analyst, Data Analyst, Data Scientist, Mechanical engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity Are you an engineer with a passion for data-driven problem solving and structural analysis? I More ❯

Engineering Analyst, Data Analyst, Data Scientist, Mechanical engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity Are you an engineer with a passion for data-driven problem solving and structural analysis? I More ❯

passion for delivering robust, secure, and ethical AI services at scale. Youll be a part of a Scrum team and work closely with developers and architects to design effective validation strategies, automated testing frameworks, and AI-specific evaluation tools - with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up Key Responsibilities: ? Perform functional, performance … to establish service-level quality metrics and observability hooks. ? Validate services against AI regulatory frameworks and ensure traceability, fairness, and robustness in outcomes. ? Participate in threat modelling and security validation of exposed APIs and AI services. ? Provide feedback early in the lifecycle to reduce defects and improve design. ? Mentor junior testers, encourage continuous learning, and contribute to a culture … of innovation. ? AI & Cloud Expertise ? Familiarity with LLM evaluation techniques, output scoring, and validation frameworks. ? Understanding of key concepts such as prompt engineering, RAG , model orchestration, and hallucination detection. ? Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations ? Defining Performance Metrics for AI services and testing for the same ? Awareness of AI More ❯

identify and resolve system-level issues and optimize performance. Document and present results, including technical reports and presentations, to internal and external stakeholders. Support the development of verification and validation strategies for complex systems. Contribute to the continuous improvement of modelling standards, tools, and methodologies. Required Qualifications: Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Computer … Science, or a related field. Proven experience with MATLAB and Simulink in a professional or academic setting. Strong understanding of control systems, signal processing, and system dynamics. Experience with model-based design (MBD) principles and practices. Ability to interpret and translate system requirements into simulation models. Excellent problem-solving skills and attention to detail. Effective communication and collaboration skills. More ❯

Are you an experienced statistical/modeller with strong SAS programming skills This role offers the perfect blend of hands-on model development, governance, and the opportunity to shape how statistical models are built and managed across the business. You’ll play a key role in reviewing and strengthening existing models and frameworks , ensuring robust governance and best practice. … As the team evolves, you’ll move into hands-on model design and development , building and refining statistical models in SAS — including propensity , sentiment , behavioural , density , and survival models . Key Requirements: Strong, hands-on SAS programming experience – essential Proven experience in statistical or predictive modelling (any industry background) Ability to design, build, and validate models such as propensity … sentiment , or survival models Experience in model oversight, validation, or governance Strong STEM related education Analytical mindset with a drive to challenge and improve modelling frameworks Comfortable working both independently and collaboratively in a changing environment This is a great opportunity to join a business investing heavily in analytics, where you’ll have real influence over how statistical More ❯

This is a dynamic, cross-functional role that blends on-vehicle debugging , software calibration , and Simulink-based control development , with a strong emphasis on requirements management and system-level validation . Area of Responsibility Software Integration & Vehicle Testing Conduct on-vehicle testing and debugging of chassis control systems across multiple driver modes Perform software flashing, calibration updates, and data … performance across off-road and dynamic driving conditions Manage driving permits and coordinate test activities with proving grounds and development fleets Support fault diagnosis and resolution during integration and validation phases Systems & Controls Engineering Write, manage, and trace system and software requirements for off-road and driver mode functionalities Develop and maintain Simulink models for chassis control algorithms (e.g. … embedded software integration Strong hands-on experience with vehicle testing, calibration, and debugging tools (e.g., Vector CANape, ETAS INCA) Proficiency in Simulink/Stateflow for control system modelling and validation Familiarity with automotive communication protocols (CAN, LIN, FlexRay) Experience in requirements management tools (e.g., DOORS, Polarion) Excellent problem-solving and communication skills Valid driving license and willingness to travel More ❯

Role: Slots Developer Location: Remote Our client, a leading and innovative force in the iGaming industry, is seeking a highly skilled and experienced Slot Mathematician to join their dynamic team. This is a fantastic opportunity to play a pivotal role More ❯

clients. The role has been determined outside IR35 and will run for a minimum of 6-months. Technical Skills Machine Learning & Deep Learning Supervised/unsupervised/reinforcement learning Model selection, training, validation, and evaluation Deep learning architectures (CNNs, RNNs, Transformers) Data Science Statistical analysis, feature engineering, A/B testing Experiment design and hypothesis testing MLOps & Engineering More ❯

Select how often (in days) to receive an alert: We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them More ❯

Are you a hands-on engineer ready to bring AI to life on the factory floor? I'm working with a leading UK-based automation provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're More ❯