151 to 175 of 189 Model Validation Jobs in London

Investigate the kinematics, dynamics and actuation of robotic manipulators, particularly soft and continuum robots, and establish computational frameworks that capture their complex physical behaviour.Experimental validation: Design and conduct experiments to validate high-fidelity computational models of robotic systems, integrating experimental measurements with numerical simulations to assess model accuracy … investigate dynamic behaviour and support the development of robotic manipulation and control.Research collaboration and validation: Work closely with researchers in robotics, modelling and control to validate theoretical developments through simulations and experiments, contribute to scientific publications, and support the delivery of project achievements.About youYou will have ...

Platform Engineer London Company Overview 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 ...

leaders and HR IT stakeholders about their priorities, constraints and HR technology landscape. Diagnose the underlying causes of HR process, experience, data and operating model pain points, rather than the symptoms a client first describes. Translate clients’ strategic HR goals (e.g., productivity, skills, employee experience, cost to serve) into … models (token‐based, API, enterprise) to inform solution design and client cost implications. Own technical oversight across the AI solution lifecycle, validating architecture integrity, model performance, and integration quality at stage gates through to production handover. Required technical and professional expertise Proven ability to advise, influence and successfully ...

Shell Energy Europe & Environmental Products seeks a Data Scientist to build and productionise time series forecasting and optimisation models for trading decisions. You will develop, validate and deploy models in a cloud environment (Azure/ ...

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 ...

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you ...

behavioural analytics, collaborating with analysts, managers and experts to capture business requirements and translate findings into actionable recommendations. The role emphasizes hands-on model development, rigorous validation, and presenting results to clients within a hybrid London setting (2 days per week in #J-18808-Ljbffr ...

Responsibilities: * Design, develop and enhance enterprise-scale risk and analytics applications. * Translate quantitative and regulatory requirements into technical solutions. * Develop & implement testing frameworks, analytical validation & data processing solutions. * Work with time-series data, risk analytics and complex financial systems. * Validate model outputs, testing results and risk factor data. … required). * Experience developing and enhancing complex enterprise applications. * Understanding of Market Risk, Capital Markets or Risk Technology. * Knowledge of quantitative analytics, data validation and testing methodologies. * Understanding of FRTB, particularly the Internal Models Approach (IMA). * Experience with time-series data processing and financial market data. Desirable: * Experience ...

Responsibilities: * Design, develop and enhance enterprise-scale risk and analytics applications. * Translate quantitative and regulatory requirements into technical solutions. * Develop & implement testing frameworks, analytical validation & data processing solutions. * Work with time-series data, risk analytics and complex financial systems. * Validate model outputs, testing results and risk factor data. … required). * Experience developing and enhancing complex enterprise applications. * Understanding of Market Risk, Capital Markets or Risk Technology. * Knowledge of quantitative analytics, data validation and testing methodologies. * Understanding of FRTB, particularly the Internal Models Approach (IMA). * Experience with time-series data processing and financial market data. Desirable: * Experience ...

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 … other top global investors, bringing total funding to $90 million. The Role: We’re looking for a Growth Marketing Manager to build and scale Model ML’s growth engine across paid, organic, lifecycle, and experimentation. You’ll be one of the earliest hires on the marketing team, driving measurable ...

Twin and physics-based simulation models. Perform dynamic and static simulations to support system optimisation. Validate simulation results against real-world test data. Support Model-in-the-Loop (MIL) and Hardware-in-the-Loop (HIL) activities. Collaborate with multidisciplinary engineering teams. Requirements Strong hands-on experience with MATLAB, Simulink … Simscape . Experience in Digital Twin development, plant modelling or model-based simulation. Knowledge of electromechanical systems and control engineering. Experience in simulation validation, data analysis and optimisation. Relevant engineering degree or equivalent technical experience. Python for engineering analysis and automation. Experience with HIL testing environments. An opportunity ...

pathways from extraction through refining into industrial transformation, with the assets, technologies and system boundaries involved, to a design ready to build. The upstream model layer. Datasets and models for where materials are produced, how production varies by location and technology, and the carbon intensity that goes with it. … sources fall short. Upstream data products. Evaluate, ingest and reconcile open and commercial datasets, resolve assets across conflicting sources, and ship documented, versioned outputs. Validation and provenance. External benchmarks, quantified uncertainty, and each important output carrying its source, vintage, allocation choices and known limits. Upstream authority. The person ...

developments.Writing reports that are rigorous, readable and useful.Explaining findings to clients, project teams and senior stakeholders.Using analysis techniques such as static analysis, dynamic analysis, model checking, formal methods, testing or modelling where appropriate.Developing scripts, tools, models or analysis approaches to support the work.Working with colleagues across safety, security, software … critical, mission-critical or high-integrity systems.Embedded software, software assurance or systems engineering.Safety assessment, hazard analysis, independent review or assurance cases.Static analysis, formal methods, model checking, verification or validation.Standards such as IEC 61508, ISO 26262, DO-178C, EN 50128, IEC 62304 or related frameworks.Regulated sectors such as nuclear, defence ...

that are rigorous, readable and useful. Explaining findings to clients, project teams and senior stakeholders. Using analysis techniques such as static analysis, dynamic analysis, model checking, formal methods, testing or modelling where appropriate. Developing scripts, tools, models or analysis approaches to support the work. Working with colleagues across safety … high-integrity systems. Embedded software, software assurance or systems engineering. Safety assessment, hazard analysis, independent review or assurance cases. Static analysis, formal methods, model checking, verification or validation. Standards such as IEC 61508, ISO 26262, DO-178C, EN 50128, IEC 62304 or related frameworks. Regulated sectors such as nuclear ...

## facultyLondon# Senior Service Designer at facultyON-SITESENIORPosted about 18 hours ago## Quick Summary### Role OverviewThe Senior Service Designer designs complex service ecosystems within the Applied AI division to balance user needs with strategic commercial ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

A Computational Ship Hydrodynamics and Design Optimisation specialist is required to work on an ambitious and novel project to embed physics informed generative AI tools within a marine vessel concept, generation and evaluation platform. This ...

rule Design and own the vendor neutral rule schema (v1 and v2), with worked examples for both platforms, forming the Policy as Code data model Specify the fields, validation and workflow of the Ivanti firewall request catalogue item ready for client configuration. Validate access, tooling and Elastic … Refresh replacement firewalls are brought into the standard and schema from day one Produce the Firewall Policy as Code high-level design, covering architecture, validation pipeline and integration with Ivanti, change control and AlgoSec. What you'll bring: Cisco Firepower (FMC/FTD) & FortiGate Policy Engineering Large Scale Rule ...

combining custom models with cloud services to deliver production-ready outcomes. The role spans the full lifecycle, from problem framing and data assessment to model selection, MLOps pipelines, validation, and collaboration with clients and cross-functional teams to drive measurable business value. #J-18808-Ljbffr ...

Company Overview: 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 … rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors. The Role: As one of Model ML’s founding Business Development Representatives, you’ll be at the forefront of our global market expansion. You’ll grow Model ...

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 … corporate, commercial and transaction banking teams. Based in London, you will cover EMEA and the GCC. You will turn real banking workflows into scalable Model ML products, make sure the output clients rely on is accurate, and help live bank customers expand across their corporate and commercial divisions. Responsibilities ...

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 … formats. Design high impact assets across web, product marketing, presentations, social, and large format OOH. Ensure every touchpoint feels cohesive, elevated, and unmistakably Model ML. Partner with marketing and product teams to shape narratives for product launches and case studies. Work closely with the Creative Director to build templates ...

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 ...

tracking actual costs and benefits against forecasts and revising assumptions as adoption and scale change. Detailed knowledge of lifecycle costs: data, integration, software and model licensing, compute, implementation, evaluation and monitoring, security and governance, adoption, human oversight, and ongoing support. Ability to model unit cost at different volumes ...

open-ended workflows, often on the same screen. The aim Make Productboard one coherent product that people and agents both use. Own the conceptual model and the MCP tool surface that exposes it, so Spark, the UI and outside agents all speak the same language. Product decides what … build; engineering owns the data model and APIs. Two personas need different things from the same conceptual model. The navigation, the agent interface and the approval moments have to work for both. ICPM. Works inside one product area. Needs a fast path from feedback to insight to feature ...