51 to 75 of 419 Model Validation Jobs in the UK

online platforms. Established in 1804, we have around 5,500 people across 36 global locations. Schroders' success can be attributed to its diversified business model, spanning different asset classes, client types and geographies. About Us We're a global investment manager. We help institutions, intermediaries and individuals around … have everything we need to work flexibly. The team The Quantitative Risk team sits within the independent Group Risk function and providesfirmwide oversight of model risk and governance. The team also develops and enhances risk models and oversees the monitoring and control of business-critical tools used across ...

agents, and shared skills; Accio, our centralised MCP server, which consumes other MCP servers and presents enterprise datasets through one governed interface; the AI model gateway and its routes to external model providers; and our Copilot services. Accio and Nexus matter most: both propagate permissions and data … than asserted. Your responsibilities Act as security design authority for AI systems, leading threat modelling, architecture review, and risk assessment for agentic applications, the model gateway, Accio, Nexus, and any novel or high-risk AI initiative, applying STRIDE, PASTA, MITRE ATT&CK, and MITRE ATLAS as appropriate. Define ...

project stakeholders. Manage and maintain Common Data Environments (CDEs) to ensure accurate, controlled, and timely sharing of project information. Lead and support clash detection, model federation, model validation, and design coordination using tools such as Navisworks, Revit, and Solibri. Review and coordinate multidisciplinary BIM models to identify … management, and BIM coordination processes. Proficient in Revit, Navisworks, AutoCAD, and CDE platforms such as BIM 360, Viewpoint, or Asite. Experience with clash detection, model coordination, and multidisciplinary BIM environments. Strong understanding of construction processes, particularly within commercial fit-out or complex construction projects. Excellent communication and coordination skills ...

creating consistent definitions, trusted measures, governed models and reliable reporting outputs across Data Services. Use Microsoft Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast … practical use of AI, helping build team capability, confidence and consistent ways of working. Apply an automation mindset to streamline repeatable reporting, data preparation, validation and analytical processes. Train and support key stakeholders to use reports and dashboards effectively, helping them interpret outputs, apply filters and use insight confidently ...

enhancements to the data pipelines and engineering infrastructure to embed scaled machine learning & AI solutions. You’ll support data science and AI discovery and model development activities, through acquisition and transformation of data. You’ll support model development, with an emphasis on auditability, versioning, and data security. … collaboratively design and implement AI Ops on cloud (Azure). You’ll optimise deployment of ML & AI model scoring code in production services. You’ll use CI/CD pipelines, manage the deployment and version management of large numbers of data science & AI models, supporting customer and operational processes. ...

/ELT processes to ingest, transform, and publish data across enterprise platforms. Work with structured and semi-structured data, applying appropriate data modelling, validation, and quality checks. Write and optimise SQL for data transformation, reconciliation, and performance tuning. Cloud Data Platform & DataOps Develop and support data solutions on Snowflake ...

Assurance/Validation Practice Leader AI Assurance/AI Validation Financial Services To 170k base + equity London An exceptional opportunity for a AI Assurance leader to join a global leader in AI Leading the AI Assurance and Validation capability across Financial Services you will build … lead the team, lead across GTM capability and drive revenue. Create value around model validation and 2nd line Defence. This is a unique career defining role where you will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically ...

Assurance/Validation Practice Leader AI Assurance/AI Validation Financial Services To 170k base + equity London An exceptional opportunity for a AI Assurance leader to join a global leader in AI Leading the AI Assurance and Validation capability across Financial Services you will build … lead the team, lead across GTM capability and drive revenue. Create value around model validation and 2nd line Defence. This is a unique career defining role where you will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically ...

delivered capabilities and help shape the roadmap from basic reporting through to advanced analytics and predictive modelling Product engineering – Analysing product performance, quality and validation data to identify trends, establish relationships with manufacturing processes and support product and process improvement activities. Simulation Engineers – providing real data to support simulation … model validation, develop reduced order data models from large, simulated data sets. Work with data engineering and simulation to package models into software for internal and external customers. All functions – presenting findings and insights. Required Qualifications, Skills & Experience: Master Degree qualified MEng/ ...

data scientists and analysts, fostering a culture of continuous learning and methodological excellence within the team. Ensure robust documentation of modelling approaches, assumptions and validation procedures to support reproducibility and knowledge transfer. Communicate complex analytical findings to non-technical stakeholders through clear visualisations and executive summaries. In the first … scientific, agricultural, life-science or Crop Protection-related outcomes Strong knowledge of Python and relevant data science, analytics and modelling tools Strong understanding of model validation, robustness assessment and the interpretation of predictive-model performance Experience analysing complex datasets and translating findings into clear, actionable insights Experience ...

used to mitigate fraud risk within ICB. You will work with multiple partner teams—including Strategy, Technology, Product Management, Legal, Compliance, Business Management, and Model Governance — to ensure the models meet the firm's high governance standards and regulatory requirements, and support audit and other business functions around model … leading vendors for detecting and preventing fraudulent activities. Job Responsibilities Develop and manage proprietary fraud models and perform due diligence for vendor models. Validate model performance on internal data, ensure modelling choices are appropriate for the portfolio, decisioning context, and operational constraints. Work closely with platform engineers to support ...

Forecasting function, including Marketing Mix Modelling and media effectiveness capabilities. The role will build robust internal tools, simulation frameworks, QA processes, and model monitoring routines that improve forecasting accuracy, scenario planning, and marketing decision‐making. They will work closely with project managers, analysts, data scientists, data engineers, and marketing … simulation and scenario planning tools that help marketing teams evaluate media investment, campaign strategies, pricing, promotions, and potential sales outcomes. Support and improve the model performance monitoring process, including tracking forecast accuracy, identifying systematic bias, capturing stakeholder feedback, and feeding these learnings back into model development. Success will ...

functional planning Data Engineering & Architecture Design and build high-performance ETL/ELT pipelines across operational, analytical, and AI data layers Lead schema design, model validation, scalable partitioning, and metadata-driven SQL frameworks Hands-on ownership of the most complex implementation work Data Modelling & Design Define and evolve … DevOps, CI/CD & AI Ops Own CI/CD for data pipelines using Git-based workflows, deployment governance, and rollback handling Orchestrate ML model outputs into production pipelines with resilience controls Drive AI tooling adoption across engineering: code generation, data profiling, documentation, and testing Implement structured logging, alerting ...

solutions that the team delivers Present findings and recommendations to technical and non-technical audiences. Acquire domain knowledge to inform modelling opportunities and model feature creation Qualifications Education: Bachelor’s degree in data science, Statistics, Mathematics, or a related field. Experience: Experience designing experiments or modelling approaches to solve ...

productionise machine learning models (e.g., sales and waste forecasting, customer segmentation, recommendation engines). Build feature sets and establish reusable data science pipelines and validation checks. Apply causal inference and experimental frameworks (A/B testing) to isolate true business impacts from baseline operational noise. Uphold strict compliance with ...

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 ...

implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests … expertise in machine learning runtime development and hardware-accelerated AI execution. The work spans the end-to-end AI software stack, from framework-level model execution and backend delegation through compiler flows to NGP acceleration. Working collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator ...

implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests … machine learning runtime development and hardware-accelerated AI execution . The work spans the end-to-end AI software stack, from framework-level model execution and backend delegation through compiler flows to NGP acceleration. Working collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator partitioning ...

implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests … machine learning runtime development and hardware-accelerated AI execution . The work spans the end-to-end AI software stack, from framework-level model execution and backend delegation through compiler flows to NGP acceleration. Working collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator partitioning ...

code reviews, technical design, and pairing with peers and junior engineers Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping … particularly wealth, private banking, or asset management Experience with Databricks, Kubernetes, or comparable ML/cloud platforms 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 ...

code reviews, technical design, and pairing with peers and junior engineers Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping … particularly wealth, private banking, or asset management Experience with Databricks, Kubernetes, or comparable ML/cloud platforms 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.P. Morgan is a global leader ...

script estate and bringing governance to it. That means walking into a credit risk estate nobody fully understands and producing conclusions that survive a model validation review. The person will do estate discovery, own lineage and evidence capture, bring model lifecycle discipline, industrialise data pipelines, evidence rationalisation … decisions so they survive audit, and work directly with credit risk, modelling and model risk stakeholders. Requirements Required Qualifications Strong practical SAS capability across Base SAS, macro language, PROC SQL, and Enterprise Guide, including the ability to reverse-engineer undocumented code. Working-strength Python experience, with the software engineering ...

modelling projects, ensuring scientific rigour and client relevance. Lead a broad range of healthcare intervention projects and models simultaneously, including oncology. Oversee data sourcing, model protocols, and model validation, ensuring deliverables such as technical documentation meet the highest quality standards. Mentor and coach team members, fostering technical ...

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. ...

models, manage experimentation at scale, operationalise discoveries and deliver production-quality AI depends on the ML platform, tooling and practices that underpin the entire model lifecycle. THE POSITION We are seeking a senior leader inMLOpsEngineeringto join Computational Innovation's AI Accelerator (@computationalinnovation). In this role, you will … models can move efficiently from experimentation to reliable production deploymentand support. You will define the tooling, platforms and engineering practices that enable large-scale model training, experiment tracking, deployment, monitoring and governance. This is both a strategic and hands-on technical leadership role. You will define architecture and standards ...