501 to 525 of 3,716 Machine Learning Jobs in England

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Build strong relationships with a diverse range of stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the … solutions. Drive continuous improvement in engineering processes to enhance efficiency, production stability, and ROI. Manage and own the technical debt process, ensuring long-term maintainability and scalability. Collaborate with ML and GenAI teams to operationalize models into production pipelines. Ensure observability, data quality, lineage, and governance across the data lifecycle. Mentor and lead a team of engineers, fostering a culture … and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of More ❯

to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Build strong relationships with a diverse range of stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the … solutions. Drive continuous improvement in engineering processes to enhance efficiency, production stability, and ROI. Manage and own the technical debt process, ensuring long-term maintainability and scalability. Collaborate with ML and GenAI teams to operationalize models into production pipelines. Ensure observability, data quality, lineage, and governance across the data lifecycle. Mentor and lead a team of engineers, fostering a culture … and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of More ❯

to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Build strong relationships with a diverse range of stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the … solutions. Drive continuous improvement in engineering processes to enhance efficiency, production stability, and ROI. Manage and own the technical debt process, ensuring long-term maintainability and scalability. Collaborate with ML and GenAI teams to operationalize models into production pipelines. Ensure observability, data quality, lineage, and governance across the data lifecycle. Mentor and lead a team of engineers, fostering a culture … and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of More ❯

to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Build strong relationships with a diverse range of stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the … solutions. Drive continuous improvement in engineering processes to enhance efficiency, production stability, and ROI. Manage and own the technical debt process, ensuring long-term maintainability and scalability. Collaborate with ML and GenAI teams to operationalize models into production pipelines. Ensure observability, data quality, lineage, and governance across the data lifecycle. Mentor and lead a team of engineers, fostering a culture … and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of More ❯

to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. Build strong relationships with a diverse range of stakeholders. Gain access to endless learning opportunities. Work closely with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the … solutions. Drive continuous improvement in engineering processes to enhance efficiency, production stability, and ROI. Manage and own the technical debt process, ensuring long-term maintainability and scalability. Collaborate with ML and GenAI teams to operationalize models into production pipelines. Ensure observability, data quality, lineage, and governance across the data lifecycle. Mentor and lead a team of engineers, fostering a culture … and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of More ❯

The Solution Architect works directly with sales teams and clients to assess their needs and design a full solution, including performance, scaling and security requirements-often involving AI/ML systems-that aligns with their business objectives and integrates seamlessly into their existing IT infrastructure. This role is for you if you have: Proven experience architecting AI-driven solutions for … refinement and testing, and compliance strategies. Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration. Understanding of data science principles, enabling informed evaluation of machine learning and statistical models. What you'll receive from us: No matter where you may be in your career or personal life, our benefits are designed to add More ❯

can be reduced to x1 day sometimes) Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML/AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power … data-driven decision-making. As a Senior Machine Learning Engineer, you ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. … models as APIs, streams, and batch services Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on observability, CI/CD automation, and monitoring for ML workflows Contribute to shared ML tooling and experimentation platforms Ensure best practices in model testing, rollback, and deployment hygiene Work across technical and compliance teams to ensure governance and risk More ❯

s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior More ❯

s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior More ❯

s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior More ❯

s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior More ❯

s transition and adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation and insight generation. Soft Skills Strong leadership and mentoring capability to support and develop junior More ❯

be solving real-world problems from day one — not just writing code in the corner. We’re looking for an ambitious Graduate Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a genuine launchpad for your career in tech — ideal for someone who wants to grow into a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists, and product teams on exciting new features Contribute to technical discussions and see your ideas … Science, Engineering, Physics, Maths, etc.) Strong coding ability in at least one of: Python, C++, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not More ❯

mentor a team of experts, and ensure delivery of world-class solutions. While you will not be coding daily, you must possess deep technical knowledge across the AI/ML spectrum and the ability to review, advise, and step in when critical decisions or mentorship are needed. You will play a pivotal role in building and scaling the AI & Data … Time AI Deployments . Act as the architect and reviewer of AI systems, ensuring scalability, robustness, and compliance. Guide the adoption of MLOps best practices (CI/CD for ML, monitoring, retraining, governance). Drive innovation while balancing pragmatism and production readiness . Mentorship & Team Development Build and grow a world-class AI & Data Science team , including hiring, onboarding, and … suite. Translate business challenges into scalable, impactful AI solutions . Represent the department in industry conferences, technical forums, and client engagements . Required Qualifications Significant experience in AI/ML, including experience in a technical leadership or team lead role . Strong knowledge (architectural & practical) of: LLMs, RAG, and AI Agents . Predictive analytics & time-series forecasting . Computer vision More ❯

team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. Understanding what drives new enrolments … a function, own the roadmap, and have direct influence on strategy within a high-growth, PE-backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build … experience leading data science or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement More ❯

team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. Understanding what drives new enrolments … a function, own the roadmap, and have direct influence on strategy within a high-growth, PE-backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build … experience leading data science or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement More ❯

team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. Understanding what drives new enrolments … a function, own the roadmap, and have direct influence on strategy within a high-growth, PE-backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build … experience leading data science or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement More ❯

team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. Understanding what drives new enrolments … a function, own the roadmap, and have direct influence on strategy within a high-growth, PE-backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build … experience leading data science or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement More ❯