626 to 650 of 1,909 Machine Learning Jobs in the UK excluding London

SQL databases Git proficiency and collaborative working approach Bonus points for: Agile experience, Linux familiarity, cloud platforms (AWS/Azure), CI/CD, or exposure to hardware integration and machine learning. Who Thrives Here You're curious, detail-oriented, and enjoy tackling diverse technical challenges. You write clean code, learn fast, and contribute ideas. You're comfortable working both More ❯

SQL databases Git proficiency and collaborative working approach Bonus points for: Agile experience, Linux familiarity, cloud platforms (AWS/Azure), CI/CD, or exposure to hardware integration and machine learning. Who Thrives Here You're curious, detail-oriented, and enjoy tackling diverse technical challenges. You write clean code, learn fast, and contribute ideas. You're comfortable working both More ❯

role in designing and delivering the next generation of their data platform. What you’ll be doing Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and More ❯

role in designing and delivering the next generation of their data platform. What you’ll be doing Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and More ❯

role in designing and delivering the next generation of their data platform. What you’ll be doing Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . Implementing data quality, observability, and governance frameworks to ensure reliability and More ❯

and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure, AWS or GCP) Logical, problem-solving mindset with a passion for automation Ability to communicate technical ideas clearly More ❯

and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure, AWS or GCP) Logical, problem-solving mindset with a passion for automation Ability to communicate technical ideas clearly More ❯

and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with cloud platforms (Azure, AWS or GCP) Logical, problem-solving mindset with a passion for automation Ability to communicate technical ideas clearly More ❯

a remote, fast-paced startup environment. Bonus points for: Background in healthcare, pharma, or academic research. Experience authoring or contributing to data-focused publications. Interest in applying AI/ML techniques to enhance analytical processes. Our team values autonomy, creativity, and technical excellence. If you’re someone who thrives in a dynamic environment, enjoys variety, and wants to see your More ❯

related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation More ❯

related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation More ❯

related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation More ❯

on-site delivery personnel. · Strong problem-solving, documentation, and communication skills. Desirable: · Experience integrating drone or remote sensing data into operational systems. · Exposure to predictive maintenance and AI/ML-driven fault detection. · Familiarity with SCADA protocols (Modbus, OPC-UA, DNP3) and power system data acquisition. What We Offer · Competitive salary of £70,000 – £80,000 per annum · Comprehensive benefits More ❯

of RAG solutions • Drive Agentic development and intelligent automation • Provide guidance on AI architecture and technology strategy • Build and deploy scalable machine learning applications on AWS • Apply ML Ops tooling and workflows for training, deployment, and monitoring • Evaluate and compare multiple AI solutions to select the best fit • Deliver secure, compliant solutions, mitigating both external and internal risks … Proven experience delivering RAG implementations in production environments • Strong background in Agentic development and LLM system design • Experience with MCP or similar model control frameworks • Hands-on experience with ML Ops tooling and workflows (CI/CD, model lifecycle, monitoring) • Deep understanding of security and governance in AI environments • Advanced experience working with AWS infrastructure • Strong analytical and communication skills More ❯

of RAG solutions • Drive Agentic development and intelligent automation • Provide guidance on AI architecture and technology strategy • Build and deploy scalable machine learning applications on AWS • Apply ML Ops tooling and workflows for training, deployment, and monitoring • Evaluate and compare multiple AI solutions to select the best fit • Deliver secure, compliant solutions, mitigating both external and internal risks … Proven experience delivering RAG implementations in production environments • Strong background in Agentic development and LLM system design • Experience with MCP or similar model control frameworks • Hands-on experience with ML Ops tooling and workflows (CI/CD, model lifecycle, monitoring) • Deep understanding of security and governance in AI environments • Advanced experience working with AWS infrastructure • Strong analytical and communication skills More ❯

of RAG solutions • Drive Agentic development and intelligent automation • Provide guidance on AI architecture and technology strategy • Build and deploy scalable machine learning applications on AWS • Apply ML Ops tooling and workflows for training, deployment, and monitoring • Evaluate and compare multiple AI solutions to select the best fit • Deliver secure, compliant solutions, mitigating both external and internal risks … Proven experience delivering RAG implementations in production environments • Strong background in Agentic development and LLM system design • Experience with MCP or similar model control frameworks • Hands-on experience with ML Ops tooling and workflows (CI/CD, model lifecycle, monitoring) • Deep understanding of security and governance in AI environments • Advanced experience working with AWS infrastructure • Strong analytical and communication skills More ❯

of RAG solutions • Drive Agentic development and intelligent automation • Provide guidance on AI architecture and technology strategy • Build and deploy scalable machine learning applications on AWS • Apply ML Ops tooling and workflows for training, deployment, and monitoring • Evaluate and compare multiple AI solutions to select the best fit • Deliver secure, compliant solutions, mitigating both external and internal risks … Proven experience delivering RAG implementations in production environments • Strong background in Agentic development and LLM system design • Experience with MCP or similar model control frameworks • Hands-on experience with ML Ops tooling and workflows (CI/CD, model lifecycle, monitoring) • Deep understanding of security and governance in AI environments • Advanced experience working with AWS infrastructure • Strong analytical and communication skills More ❯

of RAG solutions • Drive Agentic development and intelligent automation • Provide guidance on AI architecture and technology strategy • Build and deploy scalable machine learning applications on AWS • Apply ML Ops tooling and workflows for training, deployment, and monitoring • Evaluate and compare multiple AI solutions to select the best fit • Deliver secure, compliant solutions, mitigating both external and internal risks … Proven experience delivering RAG implementations in production environments • Strong background in Agentic development and LLM system design • Experience with MCP or similar model control frameworks • Hands-on experience with ML Ops tooling and workflows (CI/CD, model lifecycle, monitoring) • Deep understanding of security and governance in AI environments • Advanced experience working with AWS infrastructure • Strong analytical and communication skills More ❯

of RAG solutions • Drive Agentic development and intelligent automation • Provide guidance on AI architecture and technology strategy • Build and deploy scalable machine learning applications on AWS • Apply ML Ops tooling and workflows for training, deployment, and monitoring • Evaluate and compare multiple AI solutions to select the best fit • Deliver secure, compliant solutions, mitigating both external and internal risks … Proven experience delivering RAG implementations in production environments • Strong background in Agentic development and LLM system design • Experience with MCP or similar model control frameworks • Hands-on experience with ML Ops tooling and workflows (CI/CD, model lifecycle, monitoring) • Deep understanding of security and governance in AI environments • Advanced experience working with AWS infrastructure • Strong analytical and communication skills More ❯

and governance, while helping shape a platform-as-a-product mindset. Key responsibilities include: Building and maintaining data infrastructure: Develop microservices, pipelines, and backend systems that power analytics and machine learning initiatives. Driving platform evolution: Design and implement scalable, secure, and efficient data services using tools such as Terraform, Docker, and AWS. Data governance and observability: Introduce and … enhance tooling for data lineage, contracts, monitoring, and cataloguing. Operational excellence: Lead automation, monitoring, and incident response to maintain high platform reliability. Cross-functional collaboration: Work with data scientists, ML engineers, analysts, and product teams to understand and meet their data needs. Mentorship and culture: Support the growth of peers through knowledge sharing and by championing engineering best practices. YOUR More ❯

show results Your contributions will be crucial for creating cutting-edge products and carrying out advanced research and development withinOliver Wyman. Notable DNA projects include: Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information Exploring novel GenAI architectures and validation methods for customer-facing tools in the … chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information Why Join us? Expect a steep learning curve, as no two weeks are ever the same: You'll have access to the latest technologies and constantly expand your toolkit with each new endeavour You'll be More ❯

public holidays), with buy/sell options. Flexible Benefits: Life assurance, gym memberships, health plans. Work-Life Balance: 37.5-hour week + up to 2 TOIL days per month. Learning & Development: TechX Academy, unlimited e-learning, career mobility. If you want to work on real-world systems, close to the mission, and in a role where your code … transportation. What Makes Us Different: Purpose:you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration:having flexibility to More ❯

reimagining how AI can transform client delivery, knowledge management, and operational excellence across a global firm. 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. 4+ years experience building enterprise-grade applications. Strong backend skills in Python 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 ❯