15 of 15 Remote/Hybrid 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 ...

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 ...

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 ...

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/ ...

Data Analytics. Advanced Power BI dashboard development and data visualisation. Experience with AI-enabled conversational insights. Exploratory Data Analysis (EDA) and feature engineering. Model development, selection and validation. Model governance, productionisation and monitoring. Experience managing the full end-to-end data science lifecycle. Ability to translate complex analysis ...

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 ...

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 ...

Job title: Service Transition Lead Contract type: Fixed Term (24 Months) Location: Manchester Salary: Manchester £55,000 - £60,000 Working arrangements: Hybrid, with a minimum of 2 days per week in the office Support the ...

Bet365 is seeking a Lead Data Scientist to spearhead probabilistic modeling for real-time betting markets in a hybrid work setup. The role emphasizes building and validating sophisticated models to price sports bets and decisions ...

developing and validating motor-twin models for permanent magnet synchronous machines. You will work with academic and industrial partners to generate simulation and validation evidence using machine data, dynamometer testing and HIL methods. The role requires a PhD in electrical machines or related area, with expertise in modelling, simulation ...