351 to 375 of 606 Model Validation Jobs in the UK

inference pipelines. Integrate with third-party LLM APIs and manage usage, rate limits, reliability, and cost efficiency. Optimise AI prompting strategies, including chaining, templating, output post-processing and future model output validation. Implement modular AI workflows with orchestration logic for latency, cost, and reliability. Build and maintain CI/CD pipelines, infrastructure-as-code, and container orchestration (Kubernetes, Airflow … Databricks Jobs). Ensure best practices in model tracking, versioning, performance monitoring, logging, and retraining workflows. Collaborate with cross-functional teams to align technical delivery with business and product goals. Drive performance and cost optimisation for all AI systems. Document processes for a range of audiences Contribute to a collaborative, low-ego, high-performance engineering culture. About You Strong … or Databricks. Deep understanding of cloud platforms (especially Azure and AWS), containers, microservices, and event-driven architecture. Strong problem-solving and debugging skills, including debugging AI pipelines and multi-model systems. Experience with version control and model versioning protocols. Demonstrated ability to work in Agile/Scrum environments and drive iterative delivery. Comfortable working independently as well as More ❯

and bridge the gap between the R&D expert modelling community and R&D IT. Your role involves supporting diverse modelling communities across R&D, identifying new opportunities for model deployment at scale, and exploring new technologies for model building and validation. You will be accountable for the overall success of the platform, providing strategic direction and guiding … working in an academic or industrial R&D setting. Strong Python skills and familiarity with standard data science tooling for data-driven modelling/machine learning. Understanding of the model lifecycle and tools to manage it, as well as technical aspects such as deployment, containerization/virtualization, and handling metadata. Experience with DataIKU/DSS is a plus, but More ❯

and develop models to quantity Supply Chain risks, and identify key data sources to help measure risk Work with a team of analysts in training/validating the AI model, and mentor the team to drive performance and engagement Be a key point of contact for customers, understanding their needs and positioning our Supply Chain solution to their business … content and presenting at industry events Demonstrated ability to train and mentor junior staff What Would Make You Stand Out: Familiarity with AI/ML techniques, with experience in model development Proficiency in data analytics tools and programming languages Strong analytical and problem-solving skills Ability to work effectively in a fast-paced, dynamic environment Why Fitch? At Fitch More ❯

solve business problems but do so optimally. Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have … solutions, Develop and validate models for structured and unstructured data (e.g. NLP, computer vision, time series), Translate complex business requirements into scalable, production-ready pipelines, Where applicable, contribute to model monitoring, CI/CD integration, and post-deployment support, Engage directly with clients and stakeholders to communicate results and advise on solution direction, Contribute to internal best practices and … solutions - not just models - that solve real problems. Preferred Qualifications Experience working with LLMs, GenAI, or retrieval-augmented generation systems, Familiarity with MLOps, including Docker, CI/CD, or model deployment in cloud environments, Exposure to cloud platforms (Azure, GCP, AWS) and data tools such as MLflow, Airflow, Databricks, Previous consulting or client-facing experience, Contributions to open-source More ❯

solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have … solutions, Develop and validate models for structured and unstructured data (e.g. NLP, computer vision, time series), Translate complex business requirements into scalable, production-ready pipelines, Where applicable, contribute to model monitoring, CI/CD integration, and post-deployment support, Engage directly with clients and stakeholders to communicate results and advise on solution direction, Contribute to internal best practices and … solutions - not just models - that solve real problems. Preferred Qualifications Experience working with LLMs, GenAI, or retrieval-augmented generation systems, Familiarity with MLOps, including Docker, CI/CD, or model deployment in cloud environments, Exposure to cloud platforms (Azure, GCP, AWS) and data tools such as MLflow, Airflow, Databricks, Previous consulting or client-facing experience, Contributions to open-source More ❯

to enhance pricing accuracy and maintain competitiveness. Continuously validating and monitoring models to ensure effectiveness in reducing loss ratios and boosting revenue. Implementing monitoring and alerting systems to track model performance and automate updates when necessary. Customising reports to meet the unique requirements of various users and teams. YOUR SKILLS AND EXPERIENCE Strong experience with Python and SQL. Experience More ❯

protection, safeguarding customer and bank interests. Support fraud operations to enhance efficiency and decision accuracy, translating strategies into operational impacts. Collaborate with second-line fraud risk teams to validate model and rule effectiveness. Ensure compliance with audit and control frameworks, using data to verify adherence to regulations. Share best practices across JP Morgan Chase & Co. Communicate effectively with management More ❯

reports to communicate findings and predictions to stakeholders, including good presentation skills. Collaboration: Work closely with commercial, operational, and technical teams to understand business challenges and deliver actionable insights. Model Evaluation & Maintenance: Continuously monitor, validate, and refine predictive models to ensure accuracy and relevance. Essential Skills & Experience Preference for 'R' programming language but other machine learning languages/tools More ❯

ve got up your sleeve It would be great if you also have some of the following skills: · Experience with Data Build Tool (DBT) including building data models, tests, validation, and transformations. · In-depth knowledge of sports betting markets, including odds calculation, betting types and market trends · Previous experience in the online gaming or casino industry, with a strong More ❯

Job Description: The Opportunity We are currently recruiting to support the development of Active Electronically Scanned Array (AESA) Antennas for airborne platforms. This new opportunity has arisen in the Antenna Group at the Edinburgh site of Leonardo to support research More ❯

Business Analyst, SC, NPPV3 We are currently looking for a Technical BA to join a leading central government organisation Key Responsibilities: Elicit, analyse, and document business and technical requirements for data warehousing and secure data access. Collaborate with the technical More ❯

We are looking for a motivated and talented postdoctoral-level researcher with experience in executable modelling to join a cutting-edge project developing Digital Twins for rare diseases. This is a unique opportunity to work at the intersection of systems More ❯

Job Description: The Opportunity We are currently recruiting to support the development of Active Electronically Scanned Array (AESA) Antennas for airborne platforms. This new opportunity has arisen in the Antenna Group at the Edinburgh site of Leonardo to support research More ❯

pay range Direct message the job poster from Harnham Building Credit Risk, Fraud, and Pricing Analytics teams across Lending and Insurance | The Talent Driving The Data and AI Revolution MODEL VALIDATION MANAGER LONDON, HYBRID WORKING (2-3 DAYS A WEEK IN OFFICE) In this role, you’ll be leading a talented team of analysts to validate a range … of models across the business, including ML, AI, IFRS9, and Forecasting. You’ll be leading Risk Assurance reviews and presenting high-level validation insights to senior leadership. THE COMPANY This Fintech is well known for its data-driven approach to both consumer and SME finance solutions and is experiencing consistent levels of growth. You’ll be working within a … highly talented team and have the opportunity to drive real change. THE ROLE Validate and support in the validation of various models across the business, from more traditional models like IFRS9 and Forecasting, to AI and ML models. Engage with model owners and developers to ensure validation findings are accurate and understood Lead the Risk Assurance reviews More ❯

is seeking a liquidity risk specialist to join their investment risk te My client is a leading wealth manager and retail bank with a growing UK focussed business. The Model Risk Management (MRM) team are responsible for the design and maintenance of the Bank's Model Risk Management policy and framework, ensuring comprehensive model governance and carrying … out model validations and reviews across all the Banks models. The team is based in in London and work on a hybrid basis with 3 days in the office. Key Responsibilities Perform independent validation of models of a wide range of models in the group inventory, including stochastic models (IRB and non-IRB) and non-models (also known … as deterministic quantitative methods/DQM's), engaging with Analytics teams and Senior Management in the timely completion of model validations and reporting of identified findings and weaknesses of models. Support and shape the Model Risk Management Framework, including model identification process, attestation, validation, and monitoring. This also includes identifying further areas of non-compliance to More ❯

pay range Direct message the job poster from Quant Capital Director and Head of FinTech at Quant Capital Consulting Contract OUTSIDE IR35 Quant Capital is urgently looking for a Model Validation Quant to join our high profile client. Our client is a Tier 1 Investment Bank. This is a first-line quant role — embedded with the quant desk … shaping modelling outcomes, not validating them after the fact. This isn’t just about implementing models. It’s about being the person who sees the cracks before they become validation blockers. We need someone who can: • Challenge model assumptions • Spot weaknesses in structure, calibration, or data • Write documentation that defends the model with clarity and depth You … ll work closely with FO quants, guide their submissions, and act as a bridge to model validation — pre-empting issues before they escalate. Responsibilities: • Review and guide FO quant model submissions with a critical eye • Develop, test, and refine models using Python notebooks • Interact proactively with model validation teams • Support trading and structuring teams as More ❯

models used for CVA calculations, with a focus on products sensitive to implied volatility (eg Corridor Variance Swaps). Collaborate with QA Equity & Hybrid Products, Front Office, Technology, and Model Validation teams to ensure model accuracy and deployment. Maintain high standards in model documentation, compliance, and risk governance. Translate complex mathematical concepts into robust, production-level … code in C++ and Python. Ensure risk model performance, robustness, and alignment with Front Office trading strategies. Required Skills/Qualifications: Strong expertise in C++ (ideally in a shared library context) and solid Python programming. In-depth knowledge of financial mathematics, derivatives modelling, and structured products. Experience working in Front Office or quantitative risk model development roles. Excellent More ❯

as a Simulation & Modelling Engineer with a world class technical engineering company based in Bristol. The opportunity: The Principal Simulation & Modelling Engineer will focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. Working with all elements of a system right down to wider system component level, the Principal Simulation & Modelling Engineer will … lifecycle. Automation is a key part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, so all Simulation & Modelling Engineers participate in this through model … or other programming languages for system modelling and simulation. Knowledge of coding standards and peer review of coding changes Strong understanding of dynamic systems and numerical modelling. Familiarity with model-based design methodologies, the software development cycle, and systems engineering processes. Knowledge of scripting and automation (MATLAB scripts, Gitlab, Jenkins, or similar). Excellent problem-solving, analytical, and communication More ❯

as a Simulation & Modelling Engineer with a world class technical engineering company based in Bristol. The opportunity: The Principal Simulation & Modelling Engineer will focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. Working with all elements of a system right down to wider system component level, the Principal Simulation & Modelling Engineer will … lifecycle. Automation is a key part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, so all Simulation & Modelling Engineers participate in this through model … Simulink, or other programming languagesfor system modelling and simulation. Knowledge of coding standards and peer review of coding changes Strong understanding of dynamic systems and numerical modelling. Familiarity with model-based design methodologies, the software development cycle, and systems engineering processes. Knowledge of scripting and automation (MATLAB scripts, Gitlab, Jenkins, or similar). Excellent problem-solving, analytical, and communication More ❯

root-causes responsible for significant customer drop-offs across the purchase journey. Be responsible for end-to-end storewalk execution, engagement with category L7/L8s for root-cause validation & collaboration with Storewalk+ Solutioning POD leaders. Define the clear requirement of specific business use cases for tech product managers. Support data analysts and product managers by turning business requirements … into functional specifications and then executing delivery. Establish scalable, efficient processes for large scale data analyses, model development, model validation and model implementation. Own the service’s execution strategy. Develop strategies to mitigate risk. Be responsible for all communication to Leadership (Flash updates, WBR, QBR, LT Deep dives). BASIC QUALIFICATIONS 5+ years of working cross More ❯

creating marketing content, developing products & services, and supporting the development of Gain Theory analysts. What you'll be doing: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Be able to explain and oversee the use of data extraction tools (i.e., Advantage, AdDynamix, Sysomos, Google trends, Google analytics, Double Click, etc.) Ensure that ROVA … agencies. Chase outstanding data and manage the process monitoring incoming data accuracy and handing by analysts in your team. Contact client with data questions that may arise. Create data validation deck and oversee a process to ensure all data used is correct and signed off by a client and agencies. Building Models: Model building, validation and signing … scenarios required to answer specific client objectives. Perform quality control of output, statistical modelling and integrate research insight from a wide variety of sources. Start taking ownership of final model selection, initially with guidance from a senior colleague, but work hard to learn the processes and improve your own model sign-off capabilities such that less guidance is More ❯

Please apply only if you have the relevant skills and experiences: Experience with space technology, space science, aerospace, or related field AI qualifications (machine learning algorithms, deep learning architectures) Model training, validation, and optimization MLOps - model deployment, monitoring, and versioning Data preprocessing and feature engineering Model interpretability and explainability techniques This role offers a unique opportunity More ❯

with regulatory returns and reporting as required Further develop and maintain in house process for managing and reporting exposure to Natural Catastrophe and Non-Natural Catastrophe events Assist in model validation to help inform view of risk Complete data quality checks as and when required Demonstrate strong problem solving/numerical ability by possessing a minimum of a More ❯

the business. What you’ll be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely with product, engineering, and business … stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn and innovate Excellent communication skills, especially when simplifying complex findings for non More ❯

the business. What you’ll be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely with product, engineering, and business … stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn and innovate Excellent communication skills, especially when simplifying complex findings for non More ❯