51 to 75 of 373 Model Validation Jobs in the UK

recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating with clients and internal teams to translate analytical results into actionable insights, Qualifications We don’t expect you to know everything … looking for someone who has: 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux ...

techniques to engineering and simulation problems. Experience working with engineering simulation platforms such as: ANSYS Abaqus COMSOL Experience designing and executing research programmes and validation studies. AI & Advanced Analytics Machine Learning and Deep Learning applied to engineering systems. Experience with LLMs and Generative AI technologies. Retrieval-Augmented Generation … knowledge-based systems. Hybrid AI-physics modelling approaches. Model validation, benchmarking, and performance assessment. Knowledge of Model-Based Systems Engineering (MBSE). Experience with SysML and tools such as: Cameo Capella Enterprise Architect Experience integrating simulation environments with system-level engineering processes. Software & Cloud API development ...

program dates: 14 June – 20 August, 2027 Responsibilities Support the cyber product management team in developing research, tools, and materials that drive cyber model and product adoption. Run client and sample data through Moody’s cyber model to support analysis and evaluation Utilize and test cyber modelling applications … industry reports Synthesize analysis and market research into presentations, blog posts, and other sales and marketing materials Generate comparative reports to assess and quantify model changes Develop automated and/or agent-based approaches to support model validation and reporting About the Team Our Cyber Product Management ...

grow a cross‐functional team of software engineers (and closely partnered OR/data science specialists) Own technical direction and delivery for products that model, optimise, and operationalise solutions to disruption and crewing problems (e.g., recovery planning, re‐optimisation, what‐if analysis). Drive architecture and design decisions … down ambiguous problem statements, and define measurable outcomes and acceptance criteria. Collaborate with OR/optimisation experts to integrate solvers (e.g., Gurobi) and ensure model performance, correctness, explainability, and maintainability. Establish strong engineering practices: code review, automated testing, CI/CD, release management, incident response, and post‐incident learning. ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

senior scientific, technical, quality and enterprise leaders.Strong track record managing budgets, headcount and resources, including external technology partners and contractors.Working knowledge of data governance, model validation, data quality and responsible AI practice in a regulated Good Practice (GxP) environment.Strong analytical skills. You define portfolio-level metrics … culture of technical excellence and continuous improvement.Work Location and Flexibility This role is based in the United States and offers a hybrid work model, combining remote work with on-site collaboration to foster strong teamwork and engagement. #LI-GSK#AGTechSkillsArtificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification ...

statistical and data science methods, such as projections, statistical and simulation modelling, machine learning (supervised and unsupervised, NLP), econometrics, regression and causal inference, including model validation and communicating uncertainty Data management and engineering skills, such as working with complex, high-volume, structured and unstructured data; SQL/NoSQL ...

post holder will work across the full application lifecycle, including system configuration, software deployment, Linux server administration, scripting and automation, troubleshooting, GIS–ADMS model integration, data quality, data mastery, system integration, testing, and change management activities. The role will help the delivery of new functionality, upgrades, interfaces, and operational … integration of GIS network models into ADMS platforms to support LV Management use cases. Implement and maintain GIS adaptor technologies to ensure accurate model exchange between GIS and ADMS. Help end‐to‐end delivery from data extraction and transformation through to ADMS model validation and operational acceptance. ...

risks within financial services sector. Proven experience leading and delivering end-to-end internal audits. Solid knowledge of AI governance and risk frameworks, including model risk management (MRM) principles, AI lifecycle controls, bias and fairness assessments, and the design and evaluation of oversight and accountability structures for AI systems. … Demonstrable experience auditing or reviewing AI and machine learning models, including model validation, explainability, performance monitoring, data quality and integrity, and the adequacy of model documentation and change management processes. Why Consultants choose the ATC Work that moves you forward When a project fits your skills ...

Monzo.This role combines near-term commercial impact with long-term strategic advantage:- improving performance across our range of products- unlocking new data and faster model development- helping Monzo build underwriting that scales into new markets- shaping how advanced ML and AI can create real value in BorrowingYou’ll partner … closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo.What you’ll own- Borrowing ML roadmaps across UK optimisation, new customer segments, and EU expansion- Faster model ...

into our inference platform Lead fine-tuning initiatives (LoRA, adapters, PEFT, domain adaptation) Optimise inference workloads for latency, batching, memory efficiency, and throughput Benchmark model quality vs cost vs performance across modalities Improve inference startup times and stability under high load Build evaluation frameworks and internal tooling for model validation Work closely with Infrastructure and Backend teams on scalable serving systems Monitor production performance and drive continuous optimisation Mentor engineers and help raise the ML engineering bar across the team What We’re Looking For Deep, hands-on expertise in Python and PyTorch, comfortable working ...

technical hardware-and-software architect role, not a strategy-only position. The successful candidate operates comfortably across GPU infrastructure, high-performance networking, model training and inference pipelines, and the AI risk/governance disciplines increasingly demanded by regulators and enterprise boards. The Enterprise Architect will lead technical delivery teams … inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data lineage, bias/fairness testing, explainability, and regulatory alignment (EU AI Act, NIST AI RMF, ISO/ ...

immunohistochemistry, spatial transcriptomics and clinical variables. Build and maintain reproducible pipelines for slide preprocessing, stain normalisation, tissue and cell segmentation, feature extraction and model evaluation, using version control and clear documentation. Curate and manage large imaging and clinical datasets in line with ethics approvals, data protection … information governance requirements. Carry out external validation across centres and scanners, and assess model calibration, bias and failure modes. Bring histopathological and computational thinking together, working with pathologists to design annotation protocols, check that model outputs make morphological sense and interpret explainability analyses. Support the principal investigator ...

business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data science solutions. Document methods, assumptions, limitations and validation results clearly and responsibly. Consider data ethics, privacy and security throughout the data science life cycle. Essential skills and experience Experience applying data science … methods to real-world problems. Good knowledge of Python, R or similar programming languages for analysis and modelling. Understanding of machine learning, statistical testing, model validation and performance metrics. Ability to prepare, clean and transform data for analysis and modelling. Ability to communicate technical findings and visualisations ...

create value, then design, build, and ship the solutions that realise it. You will operate at the front of the team's engagement model: turning ambiguous, surfacing opportunities into scoped, working agentic AI and machine learning solutions, and partnering with the core AIML team to productionise and scale what … travel, as engagements benefit from it Experience within financial services, particularly wealth, private banking, or asset management Experience designing or contributing to AI governance, model validation, or guardrail frameworks Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates #J-18808-Ljbffr ...

development ensuring quality reliability performance security and complianceDesign and execute test plans for LLM powered applications chatbots copilots RAG solutions and AI agentsValidate AI model accuracy bias fairness explainability robustness and performanceDevelop and maintain AI test automation frameworks using Python and modern testing toolsPerform functional integration regression API performance … security testing for AI platformsEstablish test data management practices and synthetic data generation approachesDefine and monitor AI quality metrics model drift hallucination rates response consistency and user experience KPIsCollaborate with Data Scientists AI Engineers Product Owners Architects and business stakeholdersSupport CICD integration and quality gates for AI model ...

quality reliability performance security and compliance Design and execute test plans for LLM powered applications chatbots copilots RAG solutions and AI agents Validate AI model accuracy bias fairness explainability robustness and performance Develop and maintain AI test automation frameworks using Python and modern testing tools Perform functional integration regression … performance and security testing for AI platforms Establish test data management practices and synthetic data generation approaches Define and monitor AI quality metrics model drift hallucination rates response consistency and user experience KPIs Collaborate with Data Scientists AI Engineers Product Owners Architects and business stakeholders Support CICD integration ...

deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms. You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical … framework and measuring model impact upon deployment. You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences. You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes. Our Interview Process ...

insights.* Apply appropriate machine learning, predictive analytics and data science techniques to real-world problems.* Develop and evaluate insightful models using robust performance and validation methodologies.* Communicate findings and recommendations clearly to both technical and non-technical stakeholders.* Contribute to development of innovative AI, machine learning and advanced analytics … analyse large-scale datasets.* Develop and manage machine learning workflows within an MLOps environment.* Use tooling such as MLflow, VS Code or JupyterHub for model development, experimentation and deployment.* Work with technologies to access, manage and analyse data at scale (e.g., Apache Iceberg and Trino).**Delivery Excellence*** Participate ...

Monzo.This role combines near-term commercial impact with long-term strategic advantage :improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders … across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo.What you’ll ownBorrowing ML roadmaps across UK optimisation, new customer segments, and EU expansionFaster model improvement through new data ...

Monzo.This role combines near-term commercial impact with long-term strategic advantage :improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders … across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo.What you’ll ownBorrowing ML roadmaps across UK optimisation, new customer segments, and EU expansionFaster model improvement through new data ...

with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, we are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies … Strong foundation in hydrology, hydraulics, climate science, applied mathematics, data science, computer science, or a related quantitative discipline Understanding of machine learning fundamentals including model training and validation, overfitting, and model evaluation Experience with one or more machine learning or deep learning approaches such as Long Short ...