1 to 25 of 31 Permanent Model Validation Jobs in the North of England

attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities • Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. • Build production-grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/… data lakes, and case-management systems. • Develop entity extraction, identity resolution, deduplication, schema mapping, relationship inference, confidence scoring, temporal modeling, and graph enrichment capabilities. • Model assets, applications, users, service accounts, privileges, vulnerabilities, misconfigurations, controls, alerts, incidents, indicators, threat actors, campaigns, tactics, techniques, and procedures. • Implement graph analytics for attack ...

attack-path analysis, threat investigation, exposure prioritization, GraphRAG , and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production-grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/… data lakes, and case-management systems. Develop entity extraction, identity resolution, deduplication, schema mapping, relationship inference, confidence scoring, temporal modeling, and graph enrichment capabilities. Model assets, applications, users, service accounts, privileges, vulnerabilities, misconfigurations, controls, alerts, incidents, indicators, threat actors, campaigns, tactics, techniques, and procedures. Implement graph analytics for attack ...

technical modelling specialist. Comfortable operating across both analytics and data science disciplines. Build intuitive Power BI dashboards that act as the first stage of model productionisation before solutions are integrated into broader business workflows and operational processes. Key Requirements Essential Skills Data Science & Data Analytics Data Visualisation & Power … including AI-enabled Conversational Insights Data Product Development Exploratory Data Analysis (EDA) & Feature Engineering Model Development & Selection Model Validation & Governance Model Productionisation & Monitoring End-to-End Data Science Model Lifecycle Management Analytics Integration into Business Workflows & Operational Processes Desirable Skills Financial Services experience, particularly within ...

systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Identifying tools and specifying processes Mentoring junior team members and contributing to solution architecture, Preparing and presenting analytical results to business … team growth. What We Offer Opportunity to work on cutting-edge AI and ML projects, Collaboration with international clients (US and Europe), Hybrid working model – 3 days per week in the office, with the option to work remotely on the remaining days, Supportive, innovation-driven work environment focused ...

recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating with clients and internal teams to translate analytical results into actionable insights, Qualifications We don’t expect you to know everything … looking for someone who has: 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux ...

immunohistochemistry, spatial transcriptomics and clinical variables. Build and maintain reproducible pipelines for slide preprocessing, stain normalisation, tissue and cell segmentation, feature extraction and model evaluation, using version control and clear documentation. Curate and manage large imaging and clinical datasets in line with ethics approvals, data protection … information governance requirements. Carry out external validation across centres and scanners, and assess model calibration, bias and failure modes. Bring histopathological and computational thinking together, working with pathologists to design annotation protocols, check that model outputs make morphological sense and interpret explainability analyses. Support the principal investigator ...

delivery within the Dreadnought Active Vehicle Control (AVC) Functional Software Team . You'll be part of a multi-disciplinary engineering environment adopting a Model Based Design approach-developing and validating behavioural/dynamic models used to derive requirements, support verification & validation activities, and gain stakeholder acceptance … Simulink Verify models meet user needs and maintain alignment with the system being modelled Integrate models into a wider whole-boat/vehicle control model framework Support deployment of models into real-time environments (e.g., rigs) Support model validation to ensure models are representative of real components ...

Prepare reliable infrastructure for future commercial deployment. Engineering Data, Simulation & Computational Modelling • Develop simulation, optimisation, computational modelling and Digital Twin tools for autonomous machinery. • Model machine performance, operating sequences, capacity and efficiency. • Analyse machine, sensor and operational data and test engineering concepts before physical implementation. • Work with robotics ...

exploration to deployment, turning insights into production-ready models for international clients. You will collaborate with diverse teams, handle data cleaning, feature engineering, and model validation, and contribute to cross-functional projects across US and Europe. #J-18808-Ljbffr ...

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 ...

deployment and ongoing monitoring. Work with engineering and data teams to deploy models into production, considering scalability, maintainability and performance. Evaluate and monitor model performance, identifying opportunities for improvement. Data Analysis & Scoring Explore large and complex datasets to identify patterns, opportunities and suitable modelling approaches. Develop scoring and predictive … solutions such as propensity, classification, ranking, segmentation or behavioural models. Turn model outputs into actionable scores, insights or decision-support tools. Work closely with Data Scientists, Data Engineers and business stakeholders to deliver end-to-end solutions. Clearly communicate analytical approaches, findings and recommendations to both technical ...

reliability. Write, review, and improve high‐quality production code while promoting engineering best practices. Provide constructive technical guidance and code review feedback, including validation of AI‐generated code. Champion software engineering excellence through testing, automation, documentation, and continuous improvement. AI‐Native Software Development Build production‐grade AI agents … solve real‐world business challenges. Required experience developing evaluation and testing frameworks for LLM and AI‐agent solutions, including regression testing, evaluation datasets, and model performance validation. Experience leveraging AI‐assisted development practices and transforming manual engineering workflows into automated solutions. Experience with infrastructure as code, CI/ ...

support decision taking and design laboratory, glasshouse and field trials. Guiding technical managers in designing field trials aimed at validating scientific hypotheses and model predictions. Working with R&D IT and software developers to improve data-models integrations and to deploy applications tailored on shareholders’ needs. Monitoring and exploring … experience in developing machine-learning models relevant to biological or crop protection outcomes. Hands-on experience leveraging generative AI (genAI) approaches for data exploration, model development, or research acceleration is a plus. Knowledge of data analysis and extracting data insights and new understanding, while communicating scientific and data concepts ...

selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate model accuracy, inference speed, memory usage and application performance. Develop … automated tests for software components and AI functionality. Diagnose issues involving image quality, model behaviour and software integration. Collaborate with colleagues to translate application requirements into working solutions. Document technical decisions, evaluation results and implementation details. Essential Skills and Experience Commercial software development experience, with strong capability ...

selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate model accuracy, inference speed, memory usage and application performance. Develop … automated tests for software components and AI functionality. Diagnose issues involving image quality, model behaviour and software integration. Collaborate with colleagues to translate application requirements into working solutions. Document technical decisions, evaluation results and implementation details. Essential Skills and Experience Commercial software development experience, with strong capability ...

selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate model accuracy, inference speed, memory usage and application performance. Develop … automated tests for software components and AI functionality. Diagnose issues involving image quality, model behaviour and software integration. Collaborate with colleagues to translate application requirements into working solutions. Document technical decisions, evaluation results and implementation details. Essential Skills and Experience Commercial software development experience, with strong capability ...

Design, develop, and maintain Copilot agents, plugins, connectors, and LLM workflows in Copilot Studio Build scalable components: prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies for accuracy and reliability Integrate AI agents with enterprise systems … monitoring for quality and incident triage Create reusable assets - prompt libraries, agent templates, connectors, test harnesses, and documentation Conduct rapid prototyping to validate feasibility, model behaviour, UX, and performance Enable pro-/low-/no-code teams to adopt AI safely - support the satellite model across business functions ...

Reliability teams to improve the understanding, prediction and optimization of device performance. The successful candidate will bring strong expertise in semiconductor device physics, compact model development, parameter extraction methodologies and system simulation. This position focuses on enabling accurate device representation and performance prediction across a wide range of power … power semiconductor technologies. Build compact device models using silicon characterization and simulation data. Perform device simulations to understand electrical, thermal and reliability behaviour. Drive model calibration, validation and correlation against measured silicon data. Collaborate with technology development teams to support new process generations and device architectures. Analyse device ...

reliable and optimised to support customer design requirements. The Role As Device Modelling & PDK Engineer, you will be responsible for the characterisation, modelling and validation of compound semiconductor devices, supporting the development and continuous improvement of MMIC Process Design Kits. You will work closely with device engineers, designers … device performance and provide customers with effective design solutions. Key responsibilities will include: Performing and coordinating RF/microwave device characterisation to support device model development and validation. Developing compact device models for GaN and GaAs semiconductor technologies. Carrying out DC, pulsed I-V, noise, small-signal and large ...

This role leads a team of engineers delivering HVDC control and DC protection solutions for wind farm connections and interconnectors. Key responsibilities include design validation, managing engineering work packages, and promoting a “Right first time” culture through mentoring and process improvement. Reporting to both UK and global department heads … protection concepts for HVDC systems in collaboration with global technical teams. Manage simulation studies using tools like PSCAD, MATLAB/Simulink, and LabVIEW, including model development, validation, and customer training. Support project management through technical discussions, customer engagement, and coordination with external partners and stakeholders. Promote continuous improvement ...

development of Process Design Kits (PDKs) used in MMIC design. The position combines hands‐on RF and DC measurements, semiconductor device physics, model development and collaboration with RF design teams. Our client is open to engineers at different experience levels, including graduates and PhD researchers with strong RF fundamentals … technologies Support the development and improvement of Process Design Kits (PDKs) for MMIC applications Carry out RF measurements and analyse device performance to support model extraction and validation Work with RF and microwave measurement equipment, including vector network analysers and semiconductor test systems Collaborate with device engineers ...

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

join our team developing the semiconductor structures and devices at the heart of Aegiq's next-generation quantum computing systems. You will design, model and optimise advanced III-V semiconductor heterostructures, with a focus on InP and GaAs-based materials systems. Your work will span bandgap engineering, strain management … quantum dots, quantum wells, superlattices and metamorphic buffer layers, with a focus on optical and electronic performance, material quality and manufacturability. Device Modelling & Simulation: Model electronic band structures, carrier confinement and transport, optical emission and electro-optical behaviour. Investigate device characteristics such as emission wavelength, optical confinement, carrier dynamics ...

Sage City is seeking a Data Scientist to translate business questions into data-driven AI solutions. You will design, validate, and deploy ML models within the Nexus platform, collaborating with product, data engineering, software and ...

into clear product outcomes and delivery priorities. Lead, support and develop the existing product function, creating clear roles, responsibilities Introduce a consistent product operating model covering discovery, validation, prioritisation, requirements, delivery, launch and optimisation. Provide clear recommendations and constructive challenge when priorities or proposed solutions are not sufficiently ...