76 to 100 of 229 Deep Learning Jobs in the UK excluding London

the cutting edge. I’m working with a top robotics firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Engineer – Computer Vision/Autonomous Machinery 🌍 Location … London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from data to deployment. Building pipelines that fuse vision, language, audio, proprioception & 3D data. Scaling distributed training + optimising models for real-time edge inference. Helping shape how intelligent systems learn and act in the real world. What we … re looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve More ❯

the cutting edge. I’m working with a top robotics firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Engineer – Computer Vision/Autonomous Machinery 🌍 Location … London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from data to deployment. Building pipelines that fuse vision, language, audio, proprioception & 3D data. Scaling distributed training + optimising models for real-time edge inference. Helping shape how intelligent systems learn and act in the real world. What we … re looking for 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible … for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions … environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible … for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions … environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible … for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions … environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning More ❯

Job Description Role Overview: Apply cutting-edge AI and deep learning methods to communication system challenges. Contribute to high-impact research with opportunities to publish at leading AI or communication venues (NeurIPS, IEEE, etc.). Collaborate closely with our top Cambridge-based researchers and international colleagues. Requirement Preferred Qualifications Currently pursuing (or recently completed) a PhD, preferably in … Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and teamwork skills. Enthusiasm for innovative research with real-world impact. Join us to More ❯

Job Description Role Overview: Apply cutting-edge AI and deep learning methods to communication system challenges. Contribute to high-impact research with opportunities to publish at leading AI or communication venues (NeurIPS, IEEE, etc.). Collaborate closely with our top Cambridge-based researchers and international colleagues. Requirement Preferred Qualifications Currently pursuing (or recently completed) a PhD, preferably in … Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and teamwork skills. Enthusiasm for innovative research with real-world impact. Join us to More ❯

Job Description Role Overview: Apply cutting-edge AI and deep learning methods to communication system challenges. Contribute to high-impact research with opportunities to publish at leading AI or communication venues (NeurIPS, IEEE, etc.). Collaborate closely with our top Cambridge-based researchers and international colleagues. Requirement Preferred Qualifications Currently pursuing (or recently completed) a PhD, preferably in … Electrical Engineering or related quantitative fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and teamwork skills. Enthusiasm for innovative research with real-world impact. Join us to More ❯

shared capabilities. What you'll bring To succeed, you'll bring expertise in data science, advanced analytics, and AI/ML techniques, with practical experience in statistical modelling, machine learning, deep learning, and predictive analytics. You'll have strong knowledge of ethical AI principles, data governance, and compliance in regulated environments. Experience in asset-intensive or regulated … strategic leadership, stakeholder influence, and cross-functional collaboration skills. You'll demonstrate the ability to build and manage high-performing teams, mentor talent, and foster a culture of continuous learning, balancing technical leadership with strategic oversight. What the role is offering In return, we offer the opportunity to shape the future of analytics and AI in a leading organisation. … job, but don't tick all the boxes, apply anyway! We hardly ever hire people who can do every part of a job from Day One. Everyone has a learning curve. So don't rule yourself out! Let us know if there are any changes we can make to our recruitment process to help you perform at your best. More ❯

environmental impact. .# Job Description # Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment of data … science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear, actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data scientists, fostering a … culture of continuous learning, knowledge sharing, and skills development within the organization. Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and contribute to the development of novel solutions to solve complex business problems. Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team. More ❯

Data Scientist (LLMs & ML) - UK Remote A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role click apply for full job details More ❯

technology and analytics team , working alongside experienced engineers, data scientists, and AI specialists shaping the future of intelligent finance. In this role, you’ll: 🧠 Develop, train, and optimise machine learning and deep learning models for real-world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to … frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career Growth – Gain structured mentorship, ongoing learning opportunities, and exposure to cutting-edge AI technologies. 💡 Innovation Culture – Work in a collaborative environment that values experimentation, curiosity, and real-world impact. 🏢 Hybrid Flexibility – Enjoy a balance of … What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data More ❯

technology and analytics team , working alongside experienced engineers, data scientists, and AI specialists shaping the future of intelligent finance. In this role, you’ll: 🧠 Develop, train, and optimise machine learning and deep learning models for real-world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to … frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career Growth – Gain structured mentorship, ongoing learning opportunities, and exposure to cutting-edge AI technologies. 💡 Innovation Culture – Work in a collaborative environment that values experimentation, curiosity, and real-world impact. 🏢 Hybrid Flexibility – Enjoy a balance of … What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI specialist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc. Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI specialist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation – Python, R, Java, etc. Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. This … is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger … hear from you. What You’ll Be Doing You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. This … is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger … hear from you. What You’ll Be Doing You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. This … is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger … hear from you. What You’ll Be Doing You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. This … is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science, or a related field, if you have a passion for AI and a hunger … hear from you. What You’ll Be Doing You’ll work with experienced AI engineers and data scientists to: Build & Train Models : Support the development and training of machine learning and deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI strategist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator, able to translate complex More ❯

identify opportunities for AI integration and help turn complex concepts into real-world impact The Candidate Key attributes of the suitable AI strategist include: Strong technical grounding in machine learning, deep learning, and AI tool implementation Proactive, curious mindset with a passion for applying AI to solve real-world business challenges. Excellent communicator, able to translate complex More ❯

mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. • Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability … to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in both English and Mandarin will be a plus. • Minimum 6-month full-time internship More ❯

mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. • Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability … to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in both English and Mandarin will be a plus. • Minimum 6-month full-time internship More ❯

mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. • Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability … to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in both English and Mandarin will be a plus. • Minimum 6-month full-time internship More ❯

global financial services firm in the search for a Head of Data Science a strategic and delivery-focused leader who will drive enterprise-wide impact through advanced analytics, machine learning, and generative AI. This is a high-profile opportunity to lead a global team and embed data science into the core of decision-making, product innovation, and operational excellence. … science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master's or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in More ❯