151 to 175 of 941 Machine Learning Jobs in the UK excluding London

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

voice across all technical content, ensuring it aligns with the Ultralytics brand. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community. 🛠️ Skills and Experience 5+ years of experience in technical writing, preferably for a developer audience in the AI or software industry. … on experience with static site generators like MkDocs or Sphinx. Basic proficiency in Python to understand and document code examples and APIs. A strong interest in or experience with machine learning, computer vision, and object detection models like YOLO. Experience documenting APIs, SDKs, and other developer tools. Knowledge of SEO principles and how to apply them to technical … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

Delivery Consultant - AI/ML, Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and … a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Design and develop robust and scalable AI/ML solutions for business problems 2. Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem 3. Effectively use Foundation Models available … When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years experience in cloud architecture, a ML practitioner with hands-on implementation of ML systems; building, validating and deploying GenAI models - 5+ years of professional experience in a business environment; experience of IT platform implementation in a More ❯

AI/ML and Data Science Developer Hybrid - Stevenage 3/4dpw £70,000 - £80,000 About the Role: We are looking for an AI/ML and Data Science Developer to join a growing team working on cutting-edge Generative AI and Data Science solutions. This role offers the opportunity to design, develop, and deploy advanced AI/Machine Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies. You'll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including … and deliver solutions aligned to business needs. Document workflows, data pipelines, and model processes for knowledge transfer and reproducibility. Key Skills & Experience: 4-5 years' experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques More ❯

AI/ML and Data Science Developer Hybrid - Stevenage 3/4dpw £70,000 - £80,000 About the Role: We are looking for an AI/ML and Data Science Developer to join a growing team working on cutting-edge Generative AI and Data Science solutions. This role offers the opportunity to design, develop, and deploy advanced AI/Machine Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies. You’ll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including … and deliver solutions aligned to business needs. Document workflows, data pipelines, and model processes for knowledge transfer and reproducibility. Key Skills & Experience: 4–5 years’ experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques More ❯

AI/ML and Data Science Developer Hybrid - Stevenage 3/4dpw £70,000 - £80,000 About the Role: We are looking for an AI/ML and Data Science Developer to join a growing team working on cutting-edge Generative AI and Data Science solutions. This role offers the opportunity to design, develop, and deploy advanced AI/Machine Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies. You’ll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including … and deliver solutions aligned to business needs. Document workflows, data pipelines, and model processes for knowledge transfer and reproducibility. Key Skills & Experience: 4–5 years’ experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques More ❯

and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning … partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms … Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can More ❯

of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI/ML Implementation: Design and implement AI/ML algorithms to … automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical … presentations. Desirable Experience PhD in geoscience. Proven application of AI/ML in geoscience projects. Experience with the energy sector. Familiarity with geological process modelling. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

business challenges, developing models, and ensuring seamless deployment into production environments. Key Responsibilities Collaborate with clients to identify opportunities for AI-driven innovation. Design, develop, and optimise AI/ML models across areas such as machine learning, natural language processing, and computer vision. Perform data analysis and preprocessing to prepare datasets for model training. Deploy AI models into … support on AI tools and best practices. Stay current with emerging trends and advancements in AI technologies. About You The successful candidate will have: Proven experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

C++ Software Engineers (Numerical Modelling, AI/ML, Python) Guildford, Surrey (On-site)£65000 - £140,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Computing or STEM disciplines.- Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are looking to bolster their engineering team … the Innovation Team which have a broad mandate to work across the entire suite of internal products. You will contribute to the early-stage exploration of technologies such as Machine Learning and AI Engineering and translate experimental code into production quality implementations in an R&D style environment.You'll be working to deliver a new suite of highly … C++, C#) and at least one high-level scientific language (e.g., Python, Julia) andExperience with scientific computing, numerical methods, or computational modelling.Familiarity with emerging and interdisciplinary technologies such as: machine learning, digital twins, agentic systems, reinforcement learning, probabilistic computing, or control systems. What you'll get in return You'll work for a technology focused company building More ❯

time, 5 days a week in Guildford in the office. Your new company This leading Software provider are looking to bolster their engineering team with an experienced AI/ML Engineer to work on C++ products. You will be working full-time in their head office location in the heart of Guildford close to the University and with excellent transport … to London and the surrounding areas in Surrey. Your new role This role is for someone to design, developing, deploying and integrate scalable, production-grade software and AI/ML systems with existing desktop and web applications. It is not purely an AI/ML role, nor is it a pure coding role - it sits in between the two disciplines … the line. What you'll need to succeed We're looking for 5+ years proficiency working in an R&D environment, with 3 of those directly on AI/ML projects, alongside a Masters or PhD Degree in a STEM or Computing discipline.You must have proven experience working with C++ (ideally integrating ML features into C++ applications), and at least More ❯

The role is remote working with Adhoc travel within the UK for client meetings, workshops etc. Your role will involve: Building, scaling and leading a high performance team of machine learning engineers, AI researchers, and data scientists, driving end-to-end AI solution delivery. Designing and implementing AI architectures across cloud and on-prem environments, leveraging tools … like PyTorch, TensorFlow, and Hugging Face. Spearheading the development of production ready AI models, from foundational LLMs to custom built cognitive agents, solving real world business challenges. Establishing scalable ML/AI pipelines and infrastructure, working closely with data engineering and DevOps functions (Kubernetes, MLflow, Vertex AI, etc.). Acting as a thought leader, identifying new AI use cases and … LLMs, or intelligent agents. Strategic mindset with the ability to balance research innovation and commercial value delivery. Comfortable operating across cloud environments (GCP, Azure, AWS) and deploying AI/ML systems at scale. Strong knowledge of MLOps practices and infrastructure including CI/CD, model versioning, orchestration, and monitoring. A collaborative and inspiring leader who brings out the best in More ❯

issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools … and methodologies which improve the team and car’s performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API’s, and will have experience in … and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than More ❯

issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools … and methodologies which improve the team and car’s performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API’s, and will have experience in … and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than More ❯