126 to 150 of 189 Model Validation Jobs in London

Innovation on iLoF's technical direction and longer-term technology bets. What you will own Set iLoF's standards for preprocessing, modelling and validation of spectral data in high-dimensional, small-sample settings (p ≫ n, typically N < 200 per cohort). Choose and develop the right methods: chemometrics … Design data augmentation and domain-adaptation strategies, including physically grounded synthetic spectra, that expand training data without introducing bias or leakage. Decide when a model is scientifically ready to move forward: review validation, robustness across batches, sites and instruments, and the risk of overfitting. Spectral interpretation and experimental ...

deploy structure-property prediction ML models of bio-based formulations from experimental, in-silico and literature-mined data. In pursuit of a base model that generalizes across materials systems. Run rigorous experiments to compare modelling approaches , interpret results clearly, and iterate toward quality goals. Quantify how confident models … science and agentic research, and prototype promising methods against Materiom's use cases. MLOps Develop, operate and maintain workflows for data extraction, model training & evaluation, and orchestration workflows against lab equipment/partners. Contribute to LLMOps and MLOps best practices, including versioning, monitoring, evaluation, cost/quality optimisation. Deploy ...

with APIs and webhooks, handling auth, rate limits and errors, and shipping tested code. Hands-on Salesforce or equivalent, declarative and code. Declarative: object model, Flows, validation rules, permission sets, record types. Code: Apex triggers and classes, SOQL and SOSL, Lightning Web Components, Platform Events and Change Data ...

Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending. You’ll own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working at the intersection of data and risk, to shape the future of our lending … What You’ll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks and performance dashboards Drive innovation through new data sources, challenger ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing … powered features in production , including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals) . Create data pipelines for AI model training, evaluation, and continuous improvement. Mentor junior developers and promote engineering best practices. Required Qualifications 5+ years of professional software engineering experience. Hands-on experience ...

constraints Lead option analysis and feasibility assessments, and communicate the benefits, impacts and trade-offs of proposed approaches so decisions are well informed Model business processes, systems and data to build a shared understanding of current and future states, and work with stakeholders to validate that those models reflect … success measures and acceptance criteria Select and apply appropriate analysis methods, tools and techniques, tailoring your approach to the delivery environment Define testing and validation approaches, including business scenarios and acceptance criteria, to give confidence that solutions meet business and user needs Use insight from user research, feedback ...

data pipelines that connect Notion with customers’ systems and workflows. Oversee large‐scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, cutover, and post‐migration optimization. Review technical designs and implementation plans, identify delivery risks early, and step in directly when an engagement requires senior … strategic opportunities. Balance customer priorities, team capacity, and technical complexity to make sound staffing and sequencing decisions. Help define and scale the operating model for Forward Deployed Engineering, including hiring, onboarding, delivery methodologies, quality reviews, documentation, and engineering best practices. Skills You’ll Need to Bring 8+ years ...

deliver. What you’ll do Build accessible, responsive and intuitive web interfaces using Angular, TypeScript, HTML and CSS. Design maintainable components, application state, forms, validation and API integrations. Develop and maintain back-end services, REST APIs, application logic and data integrations. Write meaningful automated tests and review code … maintaining back-end services in Java, C#, Node.js, Python or a comparable server-side technology. Practical knowledge of REST APIs, databases, data modelling, validation, error handling and common web security risks. Confidence with Git, code review, automated testing and debugging—including production incidents. The judgement to evaluate code critically ...

Data Analyst Modeller Rate: £500 per day Status: Outside IR35 Contract: 6-12 months Location: Stratford, London Working Pattern: Hybrid - 3 days per week on-site Industry: Public Sector - International Education Key Responsibilities. Develop and ...

Pricing Data Scientist Remote (UK) | £80,000 - £100,000This is an opportunity to join a specialist insurer undergoing a significant transformation across pricing, data, and technology. You'll play a key role in building new ...

Data Scientist### Data ScientistApply: London Bankside: Poznan Business Garden: Full time: Posted Today: End Date: November 3, 2026 (12 days left to apply): 547522Welcome to Haleon. We’re a purpose-driven, world-class consumer company ...

tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads. Model Strategy and Fine‐Tuning Guide customers … model selection, fine‐tuning strategy (SFT, DPO, RFT), and evaluation methodology. Build and run fine‐tuning pipelines directly with customers, navigating trade‐offs between model families, compute cost, and quality targets. Design and implement evaluation frameworks that measure production‐quality metrics, not just benchmark scores. Customer Engagement ...

Legal Entity: AECOM Engineering Technology Services Ltd Business Line: Corporate Work Location Model: Hybrid Operating Group: Corporate Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines … working. Preferred Skills BIM & Digital Engineering Tools: Proficient in BIM platforms such as Revit, Solibri, and similar tools, with a strong understanding of model-based design workflows. Model Preparation & Data Quality: Experienced in preparing and validating Revit models for use in digital and AI-enabled workflows, including managing ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing ...

development, operation and continuous improvement of representative RF test and experimentation environments, designing and executing realistic electromagnetic threat scenarios that enable the testing, validation and performance assessment of EW systems, sensors, Mission Data products and C-UAS capabilities. Working alongside multidisciplinary teams, you'll help ensure test environments accurately … generation, recording, playback and signal analysis capabilities Supporting laboratory, field and synthetic environment testing activities and Test & Evaluation programmes Developing test methodologies, procedures and validation approaches for EW and EMI systems Working with SMEs, analysts and engineers to support representative threat modelling, mission data validation and capability development ...

agents, integrations, automations, and data pipelines connecting Notion with customers’ systems. Oversee large-scale content and data migrations, including discovery, scoping, data modeling, transformation, validation, cutover, and post-migration optimization. Review technical designs, identify delivery risks, and provide senior technical leadership when engagements require escalation. Partner with Sales … Services on qualification, feasibility, scoping, effort estimation, staffing, and delivery planning for strategic opportunities. Define and scale the operating model for Forward Deployed Engineering: hiring, onboarding, delivery methodologies, quality reviews, documentation, and reusable technical assets. Requirements 8+ years in forward deployed engineering, solutions/professional services, customer engineering, software ...

conversational AI frameworks, and (GDPR, DTAC) to inform our technical roadmap. Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice‐agent performance and compliance with healthcare standards. Mentor junior engineers and advocate for best practices in MLOps, prompt engineering, voice‐agent design … model governance. ESSENTIAL Demonstrable hands‐on experience with prompt engineering, LLMs (e.g. GPT, LLaMA, Mistral), RAG frameworks, and voice‐agent or dialogue‐system design, with shipped projects or open‐source contributions. Advanced proficiency in Python for ML/AI development. Experience building APIs in NestJS and familiarity with Next.js ...

estate. Translating asset, lifecycle, application, OS, inventory, compliance and operational data into accurate dashboards and actionable insight. This role will own reporting standards, validation and stakeholder requirements to support management, risk and regulatory decision-making. What you'll do: Define data quality rules and analyse completeness, accuracy and consistency … need: Strong data analysis and reporting experience, ideally in IT Asset Management or enterprise technology operations. Expertise in data preparation, modelling, visualisation, validation and dashboard design. Ability to integrate and reconcile multiple data sources without reliance on a specific IT service-management platform. Ability to interpret complex datasets, identify ...

estate. Translating asset, lifecycle, application, OS, inventory, compliance and operational data into accurate dashboards and actionable insight. This role will own reporting standards, validation and stakeholder requirements to support management, risk and regulatory decision-making. What you'll do: Define data quality rules and analyse completeness, accuracy and consistency … need: Strong data analysis and reporting experience, ideally in IT Asset Management or enterprise technology operations. Expertise in data preparation, modelling, visualisation, validation and dashboard design. Ability to integrate and reconcile multiple data sources without reliance on a specific IT service-management platform. Ability to interpret complex datasets, identify ...

what "good" means for creative work with no single right answer, then build the datasets, offline replays of real runs, rubrics, human labels and model judges (checked against people) that show when the harness gets better or worse. Build benchmarks for the harness, so a change to prompts, models … outputs that can't be checked automatically (creative, writing or open-ended agent tasks): turned fuzzy quality questions into rubrics, labels and validated model judges that drove real decisions. Built or run benchmarks for agents or harnesses, and can explain how you knew a change was real ...

Design, build, and maintain scalable Salesforce solutions using Apex, Lightning Web Components, SOQL/SOSL, and declarative tools such as Flow, validation rules, and Salesforce configuration. Own complex features and technical changes end to end, from understanding the business problem and shaping the technical approach through to testing, release … owning complex Salesforce solutions. Strong knowledge of Apex, Lightning Web Components, and SOQL/SOSL. Strong Salesforce configuration skills, including Flow, object modelling, validation rules, security, and sharing. Experience making or contributing meaningfully to technical design and architecture decisions, rather than only implementing predefined solutions. Experience integrating Salesforce with ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the ...

Abtrace Limited is seeking a Data Scientist (Mid/Senior) to analyse longitudinal healthcare datasets and build predictive models. The role emphasizes Python/SQL proficiency, ML libraries (scikit-learn, pandas, XGBoost) and NLP transformer ...

Capgemini seeks an experienced Lead AI Test Engineer to drive QA across AIML and Generative AI platforms. You will define end-to-end testing strategies, validate AI models for accuracy and bias, and lead QA ...

Senior Health Economist/Data Scientist to develop health economic models and analytical software for HEOR. The role emphasizes strong R and C++ programming, model implementation, validation and collaboration on client projects. You will contribute to research, teaching and the improvement of Dark Peak’s modelling methods while ...