126 to 150 of 373 Model Validation Jobs in the UK

encourage applications from people with diverse and underrepresented backgrounds and perspectives. Why you? Design and implement AI/ML-driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems to solve a variety of scientific tasks. Deliver ...

people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement AI/ML-driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems to solve a variety of scientific tasks. Deliver ...

convert, optimise and manage assets, and reusable components and architectures that scale across facilities. Implement physics, system states, equipment behaviour and engineering logic to model normal operation, faults, failures and abnormal scenarios, allowing configurations to be tested safely and supporting virtual commissioning of equipment and control strategies. Develop automation ...

convert, optimise and manage assets, and reusable components and architectures that scale across facilities. Implement physics, system states, equipment behaviour and engineering logic to model normal operation, faults, failures and abnormal scenarios, allowing configurations to be tested safely and supporting virtual commissioning of equipment and control strategies. Develop automation ...

companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania … Italy, Greece, and Portugal. About this role We are seeking a Lead Data Scientist to provide senior scientific leadership for Data Science and applied-model development within Digital Engineering, Digital & IT. Based flexibly in Newbury or Paddington, UK, you will translate customer, commercial and operational challenges into testable analytical ...

affect the deal, and write clear, practical fixes. What you will bring At least five years building, evaluating or assuring machine learning or language model systems. Hands on experience of fine tuning open source language models and designing evaluation suites. Working knowledge of ISO/IEC 42001, the NIST … Risk Management Framework or the EU AI Act. The ability to explain model risk in plain words to founders, buyers and lawyers. Experience with health, clinical or other regulated data is a strong plus. Experience of due diligence, audit or model validation work is a strong plus. ...

vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking and model validation. Collaborate with software, systems, cyber and data engineering teams to productionise AI capabilities and integrate them into operational systems. Champion Responsible AI principles … practices including CI/CD, testing, version control and code quality standards. Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript. Soft Skills & Collaboration Strong communication skills with the ability to engage technical and non‐technical stakeholders. ...

vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking and model validation. Collaborate with software, systems, cyber and data engineering teams to productionise AI capabilities and integrate them into operational systems. Champion Responsible AI principles … practices including CI/CD, testing, version control and code quality standards. Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript. Soft Skills & Collaboration Strong communication skills with the ability to engage technical and non‐technical stakeholders. ...

vision, NLP/LLMs, time-series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking and model validation. Collaborate with software, systems, cyber and data engineering teams to productionise AI capabilities and integrate them into operational systems. Champion Responsible AI principles … practices including CI/CD, testing, version control and code quality standards. Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript. Strong communication skills with the ability to engage technical and non-technical stakeholders. Collaborative approach with ...

heterogeneity of operating room environments. With customers all over the world operating rooms are often different which creates unique opportunities for problem solving and model design. Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance. Development … within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximie’s data lakes. Document solutions and contribute to internal knowledge sharing and capability building. Requirements PhD in a machine learning field such as computer science, data science, engineering, or a related field. Masters considered ...

programme objectives. Provide technical oversight of project activities, ensuring scientific rigour, technical quality and alignment with objectives. Evaluate emerging AI methodologies, models, datasets and validation approaches relevant to medicines development, safety assessment and regulatory decision-making. Provide expert input into the design, delivery and evaluation of sandbox activities … effectively with external stakeholders, including academia, industry and research organisations. Experience preparing technical reports, scientific assessments, briefings, publications or regulatory submissions. Experience of AI model development, validation or deployment within healthcare or life sciences settings, or of ADMET prediction, computational toxicology, modelling and simulation or related disciplines. Technical ...

auditor through it with live examples. Make auditability a first-class requirement: audit trail, data lineage, evidence retention, reviewer attribution, change-management controls, and validation of filtering and suppression logic. Ship automation and AI into regulated workflows with controls that hold up in Compliance, IT and privacy audits. That … case management, KYC/EDD or sanctions screening. Working knowledge of how an AML programme is examined, including the questions regulators, internal audit and model validation ask about monitoring, filing and control systems. The technical fluency to go deep on data flows and system design with engineers ...

Architect preference data collection protocols, reward model validation benchmarks, and adversarial red-teaming pipelines for frontier generative AI labs. Responsibilities Design evaluation rubrics, pairwise ranking schemas, and prompt suites for complex reasoning models Engineer automated pipelines detecting hallucinations, reward hacking, and sycophancy in LLM outputs Direct specialist expert … evaluation rubrics Publications or notable contributions to open-source alignment projects is a strong plus Direct collaboration with top frontier AI researchers and foundation model labs Competitive Silicon Valley-calibrated compensation and equity Unlimited paid time off (PTO) with a mandatory minimum 4 weeks policy Parental leave ...

will fit implied volatility smiles for Equity and FX and enhance prices and risks with robust numerical methods. Work includes AI-accelerated risk analytics, model validation and clear communication with traders, risk managers and developers across teams. #J-18808-Ljbffr ...

operational outcomes. You will define evaluation frameworks and partner with game teams to translate analytics into product actions. You will set engineering standards for model validation, drive scalable experiments, and work with Data Engineering, MLOps, and Game Tech to #J-18808-Ljbffr ...

financial markets to develop financial pricing libraries and algorithms. The successful candidate will work in a dynamic environment, with responsibilities including data analysis and model validation. The company offers a hybrid working policy and numerous employee benefits including private medical insurance, a performance bonus, and 25 days annual leave. ...

consulting role. Proven experience leading the functional aspect of multiple full-lifecycle Salesforce implementation projects. Deep expertise in Salesforce configuration, including object models, validation rules, flows, approval processes, security models, and report and dashboard design. Experience with Agile delivery methodologies. Exceptional communication, presentation, and interpersonal skills, with the ability ...

improving single- and two-qubit gate performance. Develop Hamiltonian-based simulations to understand quantum dynamics, driven interactions and time evolution under realistic experimental conditions. Model and analyse open quantum systems, incorporating decoherence, dissipation and noise mechanisms. Design experiments to identify error sources, validate physical models and establish hardware performance ...

they can be applied to our products Operations: Optionally contribute to our AI infrastructure to help operate self-hosted open-source models Testing & Validation: Development of tooling to assist our Test Team in conducting evals against our many provider models to ensure we are continually optimising for quality ...

language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping, testing, and validation of our client's proprietary models Requirements Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working ...

software engineering skills with experience developing tested, maintainable scientific software. Experience building data pipelines and working with databases or structured scientific data systems, including validation, metadata, provenance and versioning. The ability to define a research question, select an appropriate computational approach and draw defensible conclusions from incomplete or uncertain ...

needs.Provide technical support and guidance on the architectural evolution of Telemetry and On-car electronic systems.Proficient in systems architecture, requirements analysis, system modeling, and validation and verification processes.Be available to attend up to 70% of F1 events including assisting with installing, commissioning, and operating the systems at events.OtherCollaborate with ...

technical support and guidance on the architectural evolution of Telemetry and On-car electronic systems.* Proficient in systems architecture, requirements analysis, system modeling, and validation and verification processes.* Be available to attend up to 70% of F1 events including assisting with installing, commissioning, and operating the systems at events.### ...

technical support and guidance on the architectural evolution of Telemetry and On-car electronic systems. Proficient in systems architecture, requirements analysis, system modeling, and validation and verification processes. Be available to attend up to 70% of F1 events including assisting with installing, commissioning, and operating the systems at events. ...

Pattern: Hybrid Purpose of the Role Working closely with members of the Data Science and Analytics team, the holder will contribute across the full model lifecycle, from data preparation and development through to deployment and monitoring, taking on progressively more ownership of projects. Production experience is welcome … project work. Duties and Accountabilities Delivery of data science products Deliver well‐scoped data science projects, from data preparation and exploratory analysis through model development and validation. Working with team to deliver to production. Take on increasing ownership of the full lifecycle over time, including deployment and in‐life ...