501 to 525 of 1,944 Machine Learning Jobs in the UK excluding London

science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with external innovation … Python, SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics More ❯

science projects across the organisation. • Working with senior colleagues to provide data science development support for business functions. This includes building, validating and managing intermediate prediction, simulation, optimisation, reinforcement learning, Generative and agentic AI models. • Working with senior colleagues on initiatives using innovative data science techniques to foster innovation within the Centre of Enablement by collaborating with external innovation … Python, SQL and PySpark • Have a novice knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) • A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics More ❯

technical guidance and mentorship to junior team members Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience Hands-on experience in NLP, deep learning, and transformer-based architectures Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert-level Python … model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private More ❯

technical guidance and mentorship to junior team members Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience Hands-on experience in NLP, deep learning, and transformer-based architectures Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert-level Python … model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private More ❯

technical guidance and mentorship to junior team members Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience Hands-on experience in NLP, deep learning, and transformer-based architectures Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment Strong track record in scalable AI system development Technical Expertise Expert-level Python … model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/AI More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/AI More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/AI More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

Security Senior Manager to join their cybersecurity practice. Working across multiple sectors you'll be involved in supporting clients when it matters the most. You'll define AI/ML security strategies, architect secure AI systems, and lead enterprise security initiatives. You will be responsible for shaping proposals, supporting sales efforts, delivering client projects, leading teams, and managing cross-functional … stakeholders. Responsibilities of the AI Security Senior Manager: Lead and deliver AI/ML security projects, including architecture, risk assessments, and governance frameworks. Design and implement security architectures for AI/ML systems and pipelines. Advise clients on AI security best practices, threat mitigation, and compliance. Develop AI/ML security policies, standards, and reference architectures. Conduct threat modelling, adversarial … foster continuous learning. Experience and Skills Required of the AI Security Senior Manager: Current Security Professional Certification (CISSP, CISM required). 7+ years cybersecurity experience with proven AI/ML security expertise. Deep understanding of AI/ML concepts, algorithms, and regulations (EU AI Act, GDPR). Strong knowledge of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Proven experience More ❯

timely delivery. Get the opportunity to work with modern tech, data stacks, and cloud-based architectures, managing both the foundational data solutions alongside the adoption of advanced AI and ML capabilities. Work alongside the team Product Owner to plan and manage the delivery of feature roadmap to drive continuous improvement and operational excellence. Why Lloyds Banking Group We're on … Data Engineer/Cloud Architect certifications Good appreciation of data security and privacy, and architectural implications it has on application design. Modern progressive technologies– e.g. batch/streaming pipelines, machine learning, artificial intelligence etc. High-level knowledge of QA, data quality, and software quality tools such as SonarQube, etc. About working for us Our ambition is to be More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI More ❯

VP of AI/ML and Data ?? UK - Cardiff, London or Remote (with occasional travel) ?? £100,000 - £200,000 total package What You'll Do: Define and lead the company-wide AI and data strategy , reporting directly to the CTO. Build and lead a new AI/ML function , while shaping the existing data team. Establish a modern data platform … requirements into scalable AI solutions. Champion an AI-first culture , embedding automation and data-driven decision-making across the organisation. What You'll Bring: Proven experience delivering AI/ML capabilities in production , ideally within a SaaS or enterprise setting. Technical depth across machine learning, MLOps, and data engineering . Experience building and scaling teams in data and More ❯

capable of shaping the future of secure, ethical, and compliant AI adoption across critical environments. What you’ll do This is a senior, strategic consulting role — driving AI/ML security architecture, influencing C-suite direction, and ensuring security-by-design across complex AI systems and data pipelines. You’ll define and deliver AI security strategies, develop reference architectures, and … of the band (£90–115K), you’ll need strong consulting experience and commercial awareness alongside deep technical expertise. Key areas of focus Define and implement enterprise-level AI/ML security strategies, policies, and architectures. Lead on AI risk assessment, threat modelling, and mitigation planning. Ensure compliance with GDPR, the EU AI Act, and international security frameworks (ISO 27001, NIST … practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. Deep understanding of AI/ML security architecture, adversarial ML mitigation, and model governance. Current security certifications such as CISSP or CISM. Proven experience across cloud security, data privacy, and DevSecOps. Familiarity with frameworks including NIST More ❯

capable of shaping the future of secure, ethical, and compliant AI adoption across critical environments. What you’ll do This is a senior, strategic consulting role — driving AI/ML security architecture, influencing C-suite direction, and ensuring security-by-design across complex AI systems and data pipelines. You’ll define and deliver AI security strategies, develop reference architectures, and … of the band (£90–115K), you’ll need strong consulting experience and commercial awareness alongside deep technical expertise. Key areas of focus Define and implement enterprise-level AI/ML security strategies, policies, and architectures. Lead on AI risk assessment, threat modelling, and mitigation planning. Ensure compliance with GDPR, the EU AI Act, and international security frameworks (ISO 27001, NIST … practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. Deep understanding of AI/ML security architecture, adversarial ML mitigation, and model governance. Current security certifications such as CISSP or CISM. Proven experience across cloud security, data privacy, and DevSecOps. Familiarity with frameworks including NIST More ❯

capable of shaping the future of secure, ethical, and compliant AI adoption across critical environments. What you’ll do This is a senior, strategic consulting role — driving AI/ML security architecture, influencing C-suite direction, and ensuring security-by-design across complex AI systems and data pipelines. You’ll define and deliver AI security strategies, develop reference architectures, and … of the band (£90–115K), you’ll need strong consulting experience and commercial awareness alongside deep technical expertise. Key areas of focus Define and implement enterprise-level AI/ML security strategies, policies, and architectures. Lead on AI risk assessment, threat modelling, and mitigation planning. Ensure compliance with GDPR, the EU AI Act, and international security frameworks (ISO 27001, NIST … practice. Communicate complex risks clearly to senior stakeholders and boards. What you’ll bring 7+ years’ strategic cybersecurity experience, ideally in consulting or advisory. Deep understanding of AI/ML security architecture, adversarial ML mitigation, and model governance. Current security certifications such as CISSP or CISM. Proven experience across cloud security, data privacy, and DevSecOps. Familiarity with frameworks including NIST More ❯

tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank More ❯

Collaboration & Leadership • Work closely with retail operations and supply chain, to align IT solutions with business needs. • Work closely with other IT team members. • Evaluate emerging technologies including AI, machine learning, and automation to enhance customer experience and operational efficiency. • Support Industry 4.0 initiatives such as smart warehousing, robotics, and real-time data analytics. Essential Requirements: A Bachelor More ❯

hints, code review, packaging). Cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking (MLflow/W&B). Machine Learning for time series/tabular data; LLM/agentic systems, retrieval pipelines, and evaluation/guardrails. Research driven, rigorous and curious; clear scientific writing with a publication More ❯

ML Engineer Erskine, Scotland or Newcastle, UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area click apply for full job details More ❯