10 of 10 Remote Model Validation Jobs in the UK excluding London

inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability … develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Communication : The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning : The ability to stay informed of the latest advancements in data science, including … AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions. Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that align with strategic visions More ❯

with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills What's in it for you: As a Quantitative Analyst/Modeller, you will earn a More ❯

inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability … develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Communication : The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning : The ability to stay informed of the latest advancements in data science, including … statistics, mathematics, AI principles and programming is essential for success in this role. Nice-to-have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions. Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that align with strategic visions More ❯

per fortnight on site Job Role: Lead rotor dynamic analysis tasks to inform equipment and system design and specification Produce verification evidence to underpin system and equipment performance Undertake model validation including comparison of predicted and test data at system and equipment level Provide direction to more junior engineers and undertake mentoring and coaching Undertake peers' reviews/ More ❯

per fortnight on site Job Role: Lead rotor dynamic analysis tasks to inform equipment and system design and specification Produce verification evidence to underpin system and equipment performance Undertake model validation including comparison of predicted and test data at system and equipment level Provide dire click apply for full job details More ❯

to work on high-impact projects in a collaborative, hybrid-working environment (typically 2 days on-site). Location: Coventry Roles Available We are recruiting across multiple specialisms, including: Model-Based Architecture & Design Systems Modelling (SysML, Enterprise Architect) Systems Governance & Lifecycle Management Systems Architecture & Integration What You'll Do Depending on your level and specialism, you may: Develop and 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 ❯

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 ❯