151 to 175 of 373 Model Validation Jobs in the UK

driven reasoning. Develop agentic workflows that combine LLMs with tools, databases and APIs to automate multi-step scientific tasks. Support the evaluation, validation and governance of AI-powered tools, ensuring outputs are reliable, scientifically sound and appropriate for human decision-making. Work with R&D IT and software engineering … relevant professional or research experience; internships, academic projects and thesis work may be considered. Strong foundation in machine learning, statistical modelling, experimental design and model validation. Proficiency in Python for data science and machine learning, including libraries such as 'pandas', 'scikit-learn', 'PyTorch' or 'TensorFlow'. Experience cleaning, integrating ...

opportunities, and prioritize agentic AI use cases. Design and implement scalable AI/ML architectures covering claims intake, data extraction, eligibility verification, medical coding validation, automated adjudication, fraud detection, payment processing, and denial management. Lead the end-to-end delivery of enterprise AI/ML solutions, taking responsibility … decision-making workflows. Develop and oversee retrieval-augmented generation (RAG) architectures using Amazon Bedrock Knowledge Bases, vector stores, and relevant data retrieval technologies. Guide model development, training, validation, deployment, and ongoing optimization throughout the healthcare claims lifecycle. Establish AI/ML pipelines capable of processing enterprise-scale workloads ...

pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance … analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About you You will have experience in many of the following: Hands ...

pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance … analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About you You will have experience in many of the following: Hands ...

customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality … experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into ...

team needed to scale.You'll lead the development of systems for forecasting, optimisation, algorithmic bidding and automated dispatch, while establishing robust standards for model validation, deployment, monitoring and incident response. You'll also identify technology and data bottlenecks, make build-versus-buy decisions and ensure production investment delivers … quantitative models from research into productionYou have strong software fluency, including Python based quantitative workflows, architecture and deploymentYou have experience with production ML or model platforms, data-intensive systems and live monitoringYou have an understanding of optimisation, automated bidding, dispatch or execution systemsYou have sound commercial judgement, with ...

professional soccer clubs. You will work with player tracking and event data to identify undervalued players, quantify skill, and support recruitment decisions. Responsibilities include model validation, client-facing reporting, and collaboration with engineering to deploy models on cloud infrastructure, ensuring reliable production systems and clear communication of results. ...

data to support decisions across the development pipeline. This role emphasizes interface between computational science and drug development, with responsibility for scalable data pipelines, model validation, and cross-functional #J-18808-Ljbffr ...

looking for: Electronic commodities experience is a must Strong experience in quantitative development, ideally within commodity or OTC derivatives. Hands-on expertise in pricing model development, calibration and validation. Strong programming skills in Python, C++ or Java. Experience building or enhancing pricing engines, quantitative libraries, trade booking ...

looking for: Electronic commodities experience is a must Strong experience in quantitative development, ideally within commodity or OTC derivatives. Hands-on expertise in pricing model development, calibration and validation. Strong programming skills in Python, C++ or Java. Experience building or enhancing pricing engines, quantitative libraries, trade booking ...

Engineering Hardware Motherboard. The team works across chip, package, board and system engineering to solve problems end to end. Work moves through modelling, simulation, validation and lab evidence. You will collaborate closely with hardware teams and third parties to improve power and signal performance. You will be trusted ...

deployment and ongoing monitoring. Work with engineering and data teams to deploy models into production, considering scalability, maintainability and performance. Evaluate and monitor model performance, identifying opportunities for improvement. Data Analysis & Scoring Explore large and complex datasets to identify patterns, opportunities and suitable modelling approaches. Develop scoring and predictive … solutions such as propensity, classification, ranking, segmentation or behavioural models. Turn model outputs into actionable scores, insights or decision-support tools. Work closely with Data Scientists, Data Engineers and business stakeholders to deliver end-to-end solutions. Clearly communicate analytical approaches, findings and recommendations to both technical ...

validate and deploy these models working closely with clinical colleagues, and integrate them with our population health system and data integration platform so that model outputs feed directly back into the information clinicians see. You'll be applying deep learning directly to patient outcomes -- helping clinicians spot disease progression … before deployment. Integrating models with our population health system and data integration platform so that predictive insights reach clinical records and care workflows. Implementing model monitoring, validation, explainability and drift detection approaches. Building natural language processing (NLP) models to derive insights from clinical and operational text data where ...

that support investment decisions. Create and refine ROAS and payback models. Support budgeting, scaling and portfolio allocation decisions with robust forecasting frameworks. Continuously improve model accuracy through validation and iteration. User Acquisition Analytics Partner closely with User Acquisition teams to help optimise marketing investment. Identify opportunities to improve ...

want to find out more about life at Paysafe, check out our careers page here. How we work: We follow a hybrid working model, spending an average of three days per week at our office location. We are open to this role being based in either our London … models Representation learning & embeddings Autoencoders and anomaly detection Graph/network-based models Semi-supervised and weakly supervised learning Own the end-to-end model lifecycle: problem framing, feature representation, model development, validation, deployment, monitoring, and iteration. Partner closely with Risk Strategy, Operation, MLOps and Data Engineering ...

OVERVIEW Croud is an independent global media, creative and data agency that helps businesses unlock growth through a Return on Intelligence. Our unique business model brings together in-house expertise and a global network of Intelligent Creative Specialists, enabling us to deliver smarter, more effective solutions for our clients … Interface with our clients to ensure we get the data inputs we need and they fully understand how to apply our services. Explore and model large data sets using Python, SQL and related tools. Leverage AI tools including Claude Code, to develop and enhance Croud solutions. Take a leading ...

opportunity has arisen to join the Sparkworks RF Directed Energy Weapons and Low Observability (Stealth) Integration and Systems Validation Team, due to an increasing workload. The role involves providing a world leading and business winning trials and testing capability to the UK MoD. Salary: Up to £56,000 depending … multitude of differing projects, typically running for only a year or two at a time. Whilst the primary focus is testing of hardware and model validation, a lot of work is involved is getting to the point of testing. Agreeing testing requirements, producing planning and safety documentation, developing ...

using statistical and machine learning techniques, with a focus on probabilistic approaches. Contribute across the modelling lifecycle from feature engineering and training through to validation and deployment. Data Work: Query, clean and explore datasets using Python and SQL to surface patterns and support model development. Data Pipelines: Help … often built around specific sporting events, meaning fixed deadlines and go-live support requirements that you will help to provide. Quality & Rigour: Apply good model development discipline through version control, testing and documentation. What You’ll Bring Passion for Sport: You follow sport closely and understand the context ...

define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions.* Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks.* Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks … variance reduction, and online-offline alignment.* Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways.* Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated ...

Moody's is expanding its Model Development team to advance inland flood catastrophe modeling that supports global risk assessment. The role involves developing, validating, and deploying advanced models, incorporating ML and AI tools, and collaborating with scientists and engineers to deliver robust, reproducible workflows. You will work with geospatial ...

interrogate financial data, challenge outputs and identify inconsistencies or errors. Experience with Adaptive HTML reporting. Previous involvement in finance systems implementations, upgrades or model rebuilds. Advanced Excel skills and excellent analytical capabilities. Confident working independently with Finance stakeholders and external implementation partners. Desirable Experience Oracle NetSuite implementation or integration ...

Mechanical Design Engineers, Material Scientists, nanofabrication specialists, Cryogenic specialists and Quantum Test Engineers. Your primary focus will be thermal simulation and optimisation. You’ll model how materials, components and interfaces behave as they move into the cryogenic regime, tackling challenges such as thermal contraction, material mismatch and heat flow. ...

Mechanical Design Engineers, Material Scientists, nanofabrication specialists, Cryogenic specialists and Quantum Test Engineers. Your primary focus will be thermal simulation and optimisation. You'll model how materials, components and interfaces behave as they move into the cryogenic regime, tackling challenges such as thermal contraction, material mismatch and heat flow. ...

proven experience in designing and building systems for authorization that can scale. This includes deep experience designing scalable RBAC/ABAC models and token validation pipelines. It includes permission compilation and distributed cache invalidation strategies. You have a solid comprehension of distributed systems security, including node-to-node mutual ...

proven experience in designing and building systems for authorization that can scale. This includes deep experience designing scalable RBAC/ABAC models and token validation pipelines. It includes permission compilation and distributed cache invalidation strategies.You have a solid comprehension of distributed systems security, including node-to-node mutual trust ...