76 to 100 of 189 Model Validation Jobs in London

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 ...

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 ...

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 ...

driven reasoning. Develop agentic workflows that combine LLMs with tools, databases and APIs to automate multi-step scientific tasks. Support the evaluation, validation and governance of AI-powered tools, ensuring outputs are reliable, scientifically sound and appropriate for human decision-making. Work with R&D IT and software engineering … relevant professional or research experience; internships, academic projects and thesis work may be considered. Strong foundation in machine learning, statistical modelling, experimental design and model validation. Proficiency in Python for data science and machine learning, including libraries such as 'pandas', 'scikit-learn', 'PyTorch' or 'TensorFlow'. Experience cleaning, integrating ...

pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance … analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About you You will have experience in many of the following: Hands ...

pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance … analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About you You will have experience in many of the following: Hands ...

customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality … experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into ...

team needed to scale.You'll lead the development of systems for forecasting, optimisation, algorithmic bidding and automated dispatch, while establishing robust standards for model validation, deployment, monitoring and incident response. You'll also identify technology and data bottlenecks, make build-versus-buy decisions and ensure production investment delivers … quantitative models from research into productionYou have strong software fluency, including Python based quantitative workflows, architecture and deploymentYou have experience with production ML or model platforms, data-intensive systems and live monitoringYou have an understanding of optimisation, automated bidding, dispatch or execution systemsYou have sound commercial judgement, with ...

data to support decisions across the development pipeline. This role emphasizes interface between computational science and drug development, with responsibility for scalable data pipelines, model validation, and cross-functional #J-18808-Ljbffr ...

want to find out more about life at Paysafe, check out our careers page here. How we work: We follow a hybrid working model, spending an average of three days per week at our office location. We are open to this role being based in either our London … models Representation learning & embeddings Autoencoders and anomaly detection Graph/network-based models Semi-supervised and weakly supervised learning Own the end-to-end model lifecycle: problem framing, feature representation, model development, validation, deployment, monitoring, and iteration. Partner closely with Risk Strategy, Operation, MLOps and Data Engineering ...

OVERVIEW Croud is an independent global media, creative and data agency that helps businesses unlock growth through a Return on Intelligence. Our unique business model brings together in-house expertise and a global network of Intelligent Creative Specialists, enabling us to deliver smarter, more effective solutions for our clients … Interface with our clients to ensure we get the data inputs we need and they fully understand how to apply our services. Explore and model large data sets using Python, SQL and related tools. Leverage AI tools including Claude Code, to develop and enhance Croud solutions. Take a leading ...

using statistical and machine learning techniques, with a focus on probabilistic approaches. Contribute across the modelling lifecycle from feature engineering and training through to validation and deployment. Data Work: Query, clean and explore datasets using Python and SQL to surface patterns and support model development. Data Pipelines: Help … often built around specific sporting events, meaning fixed deadlines and go-live support requirements that you will help to provide. Quality & Rigour: Apply good model development discipline through version control, testing and documentation. What You’ll Bring Passion for Sport: You follow sport closely and understand the context ...

define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions.* Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks.* Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks … variance reduction, and online-offline alignment.* Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways.* Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated ...

Moody's is expanding its Model Development team to advance inland flood catastrophe modeling that supports global risk assessment. The role involves developing, validating, and deploying advanced models, incorporating ML and AI tools, and collaborating with scientists and engineers to deliver robust, reproducible workflows. You will work with geospatial ...

interrogate financial data, challenge outputs and identify inconsistencies or errors. Experience with Adaptive HTML reporting. Previous involvement in finance systems implementations, upgrades or model rebuilds. Advanced Excel skills and excellent analytical capabilities. Confident working independently with Finance stakeholders and external implementation partners. Desirable Experience Oracle NetSuite implementation or integration ...

process for new services, applications and significant changes. Ensure transitions meet agreed Service Acceptance Criteria and include a complete operational service wrapper. Validate support model, support hours, incident/request/problem processes, escalation paths, monitoring, runbooks, knowledge articles, RACI, CMDB and service catalogue updates. Ensure structured handover into ...

data engineers, operations, and consultants to deliver end-to-end analytical solutions and ensure continuous feedback and iteration Maintain clear documentation of data methodologies, model architectures, and validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced ...

Goldman Sachs’ Model Risk Management (MRM) team is seeking an AI Model Risk Associate in London to validate AI models, ensuring accuracy, reliability, and regulatory compliance. The role involves working with AI researchers and developers to understand methodologies, assess risks, and implement robust validation plans. You will … contribute to independent oversight of model risk across derivatives, risk management, and capital computations, collaborating with stakeholders to document and challenge #J-18808-Ljbffr ...

develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. Collaborate with data engineers and architects to operationalise solutions. Ensure solutions follow Responsible AI, governance, and security best practices. Support deployment, monitoring … Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience in client-facing consulting roles. Exposure to cloud-based AI and analytics platforms. Understanding of Responsible AI and governance ...