10 of 10 Remote/Hybrid Model Validation Jobs in London

science, setting best practices and standards across the organization Mentor and guide junior and senior data scientists, fostering a high-performance, collaborative team environment Model Development & Deployment Develop and deploy machine learning models for use cases such as: Fraud detection Credit risk modeling Customer segmentation and personalization Forecasting … adoption Data Strategy & Governance Support the development of data strategy frameworks, ensuring alignment with regulatory and compliance requirements Promote best practices in data governance, model validation, and ethical AI usage Qualifications: Required Background: MSc or Higher in Artificial Intelligence, Computer Science, Data Science, or a closely related discipline ...

ensure our tools and platforms remain cutting‐edge. Champion AI tools and solutions through AI governance committees for approval, demonstrating compliance with security standards, model validation requirements, and regulatory guidelines to ensure safe release into production. Monitor and maintain compliance of deployed AI tools through regular security audits ...

analytical background with curiosity to explore data beyond the initial brief. What They Offer Salary up to £65,000 depending on experience. Hybrid working model with two days per week in London and flexibility for Northern based candidates. Exposure to a wide range of industries and business problems. Clear ...

Engineering Assurance Provide assurance across AI engineering workstreams Review design artefacts, integration plans and testing approaches Ensure AI components align with SDLC updates, including model validation, safety checks and governance controls Problem Solving & Enablement Support engineering teams in resolving complex technical challenges related to AI model behaviour ...

government or regulated environments Strong hands-on experience with Python for data science and machine learning Solid understanding of machine-learning techniques (supervised, unsupervised, model evaluation) Experience with MLOps practices, including: Model versioning and deployment CI/CD for ML workflows Monitoring and performance management Experience working with … stakeholders Responsibilities Design, build, and evaluate machine-learning models to solve real-world government problems Use Python and related libraries to explore, transform, and model complex datasets Work with engineers to integrate models into production pipelines using MLOps best practices Validate, test, and monitor models to ensure accuracy, reliability ...

Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback Contribute to the automation of testing, deployment, and validation pipelines for AI agents Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications Bachelor … resilience Experience with business process automation or workflow automation in real-world environments Comfortable working with SQL/NoSQL databases , including data modeling and validation Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP) Understanding of security concepts including authentication (OAuth2), authorization ...

Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback Contribute to the automation of testing, deployment, and validation pipelines for AI agents Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications Bachelor … resilience Experience with business process automation or workflow automation in real-world environments Comfortable working with SQL/NoSQL databases , including data modeling and validation Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP) Understanding of security concepts including authentication (OAuth2), authorization ...

GenAI use cases with business leaders Define architectures for AI-enabled solutions across data, applications, and workflows Provide hands-on technical leadership in prototyping, model integration, and validation Establish best practices for embedding AI/GenAI into development workflows Build reusable AI patterns and accelerators for enterprise adoption … Align with data teams on readiness, governance, and model performance Support frameworks for evaluating and deploying AI responsibly at scale Required Skills 10–15+ years in software/data engineering or related technical roles 5+ years in AI/ML, with recent GenAI/LLM exposure Proven track record ...

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing ...

As data consultant, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing ...