376 to 400 of 461 Model Validation Jobs in the UK

genetic and genomic data at scale.You will have validated predictive models in independent cohorts and populations, and understand what it takes to move a model into clinical or health system use. You will still write code and work with data yourself. You will enjoy setting direction for a community … design and good research practice* Experience validating predictive models in independent cohorts and populations, and an understanding of what it takes to move a model into clinical or health system use* Demonstrable recent experience of personally writing code and analysing data at scale, with good software practice including version ...

genomic data at scale. You will have validated predictive models in independent cohorts and populations, and understand what it takes to move a model into clinical or health system use. You will still write code and work with data yourself. You will enjoy setting direction for a community … design and good research practice Experience validating predictive models in independent cohorts and populations, and an understanding of what it takes to move a model into clinical or health system use Demonstrable recent experience of personally writing code and analysing data at scale, with good software practice including version ...

genomic data at scale. You will have validated predictive models in independent cohorts and populations, and understand what it takes to move a model into clinical or health system use. You will still write code and work with data yourself. You will enjoy setting direction for a community … design and good research practice Experience validating predictive models in independent cohorts and populations, and an understanding of what it takes to move a model into clinical or health system use Demonstrable recent experience of personally writing code and analysing data at scale, with good software practice including version ...

Job Title: Computational Biophysics Engineer Coherence Neuro is a fast-growing, venture‐backed company pioneering implantable technologies that interface with the human body to address critical unmet medical needs. We are looking for driven individuals ...

Quantitative Researcher | HFT | Crypto | London £250k + PnL We are a fast-growing, venture-backed technology firm focused on building trading and liquidity solutions across multiple markets. We operate in a collaborative, flat start up ...

We are looking for a full-time data scientist to work with us on the following areas: Product deployment – creating, deploying, and maintaining new KPI trackers. Research – finding, collecting, and evaluating new data sources, developing ...

Autodesk Forma, SharePoint, and the SPA GIS platform. Key responsibilities Lead the development of MEP, process, civils Non-Infra, and structural Revit models. Approve model geometry, metadata, and model maturity progression. Create and maintain Revit families, schedules, templates, and discipline libraries. Conduct technical reviews on models produced … modelling work allocation and planning across multiple work packages. Own and maintain Non-Infra Revit modelling procedures, ensuring compliance across the team. Manage Revit model QA/QC, including model audits, clash resolution, and quality gates. Proactively identify modelling risks and escalation/mitigation early. A little ...

airline community and SITA's wider product and innovation teams. This is a senior, strategic product partnership role, newly created within the operating model and elevated because of the scale of common‐use deployment across the MAG estate. MAG sets the product vision, strategic direction, priorities and desired outcomes. … manage airline onboarding and change delivery in line with MAG standards, owning the collation of business requirements and carrying them cleanly through solution design, Model Office validation, live flight proving and post‐deployment review. Drive product adoption and self‐service utilisation across the MAG estate, anticipating onboarding needs ...

underpinned by robust analysis and structured trade studies. What youll do Deliver EO modelling tasks to support system concept development, requirements definition and design validation Conduct sensitivity analyses and trade studies to evaluate design options and inform system parameters, such as aperture size. Generate robust technical evidence to support … requirements development, verification and validation activities. Ensure modelling activities are configured, documented and managed. Translate system requirements into modelling approaches and use modelling outputs to inform design decisions and requirements evolution. Present technical recommendations, progress updates and risks clearly and effectively to stakeholders. Collaborate with multidisciplinary engineering teams ...

code, and who cares that biology retains its integrity as models move from research to production. Your engineering work will go far beyond the model card; it will connect directly to human health outcomes. Key Responsibilities Contribute engineering perspectives to architectural design discussions, supporting decisions that ensure foundation models … train and infer efficiently and are scalable Under the guidance of senior ML engineers, implement biomedical foundation model components such as training code, data loaders, tokenisers, inference logic and fine-tuning interfaces to a high engineering standard Work closely with AI scientists to help translate validated research prototypes into ...

empowered by an intentional workplace culture, to solve problems better and faster.SummaryThe Systems Engineer is responsible for leading systems engineering activities using Model-Based Systems Engineering (MBSE) methodologies across the product lifecycle. The role involves defining system requirements, developing system architectures, managing interfaces, conducting trade studies, and ensuring … verification and validation. · Develop and maintain system requirements, functional architectures, and physical architectures.· Perform requirements analysis, decomposition, allocation, and traceability. · Conduct system integration, verification, validation, and acceptance activities. · Support technical reviews including SRR, PDR, CDR, TRR, and PRR. · Develop and maintain MBSE models using SysML and industry-standard modeling ...

empowered by an intentional workplace culture, to solve problems better and faster.SummaryThe Systems Engineer is responsible for leading systems engineering activities using Model-Based Systems Engineering (MBSE) methodologies across the product lifecycle. The role involves defining system requirements, developing system architectures, managing interfaces, conducting trade studies, and ensuring … verification and validation. · Develop and maintain system requirements, functional architectures, and physical architectures.· Perform requirements analysis, decomposition, allocation, and traceability. · Conduct system integration, verification, validation, and acceptance activities. · Support technical reviews including SRR, PDR, CDR, TRR, and PRR. · Develop and maintain MBSE models using SysML and industry-standard modeling ...

Leadership: Manage the rollout of BIM methodologies across programs and projects, ensuring successful adoption by clients, design teams, and contractors. Technical Assurance: Conduct structured model reviews, clash detection, and data analysis to mitigate risks and ensure delivery against project requirements. Stakeholder Management: Facilitate workshops and interface with project partners … Framework), and industry information management standards. 3D Authoring: Proficiency in industry leading 3D modelling software such as Revit or ArchiCAD for interrogation. Coordination & Validation: Expert use of clash detection and model checking tools like Solibri and Navisworks. Common Data Environment (CDE) Experience: Strong experience of CDE platforms such ...

enhance and accelerate portfolio decision-making. Задачи: Bring ML engineering expertise into architectural design, ensuring foundation models are efficient and scalable; Implement biomedical foundation model components, including training code, data loaders, tokenisers, inference logic and fine‐tuning interfaces; Translate validated research prototypes into robust, production-quality model artefacts … pruning to meet production efficiency and latency requirements; Write clean, well‐tested and well‐documented code and uphold engineering standards across the team; Lead model handovers to MLOps engineers with documentation covering capabilities, known limitations, failure modes and retraining criteria; Stay current with advances in ML engineering, distributed training ...

storage and compute (tokens) behind ASKB as AI workflows scale. Reporting to the Team Lead for Enterprise AI, you'll own the capacity model end-to-end: the desktop allowance, enterprise tiers, the pooled-capacity model and priority in ASKB responses — together with the metering, monitoring and decision … partner with the central admin workstream so firm admins can see and manage what they consume. We'll trust you to Own the capacity model for Bloomberg's enterprise AI — storage and tokens, the desktop allowance, enterprise tiers, the pooled-capacity model, and how capacity priority works ...

translating regulatory expectations into scalable governance across cross-border payments and crypto/digital assets. You will drive AI-enabled controls, oversee model development and validation, and partner with technology and data science teams to implement robust, #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

developing, testing and operating modelling tools and assumptions to support client advice and investment technology. Successful candidates will work with experienced colleagues on model runs, validation, assumption setting and scenario generation, contributing to model development and client reporting. #J-18808-Ljbffr ...

energy, etch rate, selectivity and process repeatability. Apply vacuum, thermal, materials and contamination‐control principles to subsystem design. RF sub-assembly development Design, model, build and test RF matching networks, RF feed structures, transmission systems and grounding assemblies at proto‐type level Investigate impedance matching, power‐coupling efficiency, losses … with deep expertise in plasma processing, RF engineering, vacuum systems and semiconductor equipment. Demonstrated success delivering complex technology from concept and modelling through prototype validation and product release. Strong communication skills and the credibility to act as a cross‐functional technical authority. Desirable Experience Formal or informal team‐lead ...

working If you're an RF engineer who enjoys hands on design, problem solving, and developing high performance RF circuits from concept through to validation, this role offers real technical variety and ownership. What you'll be doing - Designing and developing RF circuits, subsystems, and architectures for new products. … while contributing effectively within a team. Why this role? You'll work across the full RF design lifecycle from concept and modelling through to validation and production support with the freedom to innovate and the opportunity to grow into more senior responsibilities over time. For more information, please contact ...

Server solutions to GCP, while helping to design and deliver new cloud-native reporting systems in BigQuery. The work spans data modelling, pipeline development, validation and automation, with AI-assisted development also playing a part in improving consistency and reducing manual effort. Preferred Skills and Experience Strong Google BigQuery … pipelines for ingesting, transforming and loading regulatory data. Supporting the migration of legacy reporting solutions to BigQuery through data modelling and technical delivery. Implementing validation checks, monitoring and alerting to protect submission accuracy and reliability. Working with senior colleagues and technical leads to shape efficient cloud-native reporting solutions. ...

Server solutions to GCP, while helping to design and deliver new cloud-native reporting systems in BigQuery. The work spans data modelling, pipeline development, validation and automation, with AI-assisted development also playing a part in improving consistency and reducing manual effort. Preferred Skills and Experience Strong Google BigQuery … pipelines for ingesting, transforming and loading regulatory data. Supporting the migration of legacy reporting solutions to BigQuery through data modelling and technical delivery. Implementing validation checks, monitoring and alerting to protect submission accuracy and reliability. Working with senior colleagues and technical leads to shape efficient cloud-native reporting solutions. ...

models for respiratory health. You will work with large-scale real-world recordings of speech, breathing and cough, developing self-supervised learning and foundation-model approaches that are robust to noise, demographic variation and different recording environments. You will also contribute to clinically informed acoustic biomarkers … generalisability and clinical utility. Investigate potential confounding factors, demographic bias, background‐noise effects and domain shift, and develop methods that improve trustworthy and equitable model performance. Contribute to clinically informed acoustic modelling, working closely with the Southampton PDRA, who will lead complementary feature‐engineering research; investigate how engineered physiological ...