126 to 150 of 1,905 Machine Learning Jobs in the UK excluding London

Java Software Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Hybrid 3 days a week in the office) Java Software Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of … Technologies (AWS) and Microservices Strong Database experience Degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Experience or interest in AI or Machine Learning Salary for the Java Software Engineer will depend on experience, but expect between £60,000 and £80,000 + Pension + benefits Other benefits include:- Free breakfast … games etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Java Software Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Remote or Hybrid - You choose!) Applicants must have the right to work in the UK, no sponsorship is offered for this role More ❯

ML pipelines for time-series forecasting. Central London office based £90-120k+ highly negotiable Discretionary bonus 50-100% of salary An opportunity for an elite Machine Learning Engineer to join a very small, top-flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is unparalleled. … The challenges genuinely interesting from a data perspective. You will work closely with AI and Research teams to own the design, implementation, and maintenance of ML pipelines for forecasting. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast. Responsibilities: Build scalable machine learning pipelines for predominantly time-series forecasting Collaborate … with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in ML engineering/MLOps roles Strong proficiency in Python and experience with relevant ML libraries/frameworks (pandas, numpy, sklearn, TensorFlow, PyTorch) Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with ML More ❯

adversarial attacks and enhance generalization performance by exposing the model to perturbed input examples during training. Supervised Fine tuning (SFT): Develop and execute SFT strategies for specific tasks. Reinforcement Learning from Human Feedback (RLHF): Run and refine RLHF pipelines to align models with human preferences. Pruning: Design and implement model pruning strategies to reduce model size and computational complexity … and deploy AI powered products. Contribute to the development of internal tools and infrastructure for model training and evaluation. Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field and 5+ years of relevant work experience or 7+ years of relevant work experience. Strong programming skills in Python and experience with deep … learning frameworks like PyTorch. Solid understanding of machine learning principles, including supervised learning, unsupervised learning, and reinforcement learning. Proven experience in designing and conducting experiments, analyzing data, and drawing meaningful conclusions. Familiarity with large language models, transformer architectures, and related concepts. Experience with data processing tools and techniques (e.g., Pandas, NumPy). Experience working with More ❯

Learning Engineer, London (5 days a month), £90,000 - £110,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based in Central London and … you will be required in their London office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand of the Team’s … knowledge via demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate. Produce high quality, modular More ❯

Learning Engineer, London (5 days a month), £90,000 - £110,000 per annum My client, a leading regulatory intelligence company are currently looking to bring on an ML Engineer on a permanent basis. This is a key hire for the business and will look to move quickly for the right candidate. They are based in Central London and … you will be required in their London office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand of the Team’s … knowledge via demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches, wherever appropriate. Produce high quality, modular More ❯

world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. … interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning … Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Programming: Solid experience in Python and SQL. Experience with R is a nice-to-have. ML and AI: Practical experience using ML modeling libraries like Scikit-Learn, Keras, Tensorflow, PyTorch and similar Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa … people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience … and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems and create areas for improvement Degree in Computer Science, AI, Big Data, or More ❯

Role: Machine Learning Engineer London: Central London - hybrid working Salary: £125,000 + bonus + benefits Industry: Technology Scale Up, circa … people The role: You will lead the design & development of robust Machine Learning models to solve complex problems. You will work alongside MLOps to help build the ML infrastructure for these models to be deployed, and then maintain & scale these efficiently. You will continuously collaborate across internal stakeholders to ensure the models being built are improving customer experience … and business efficiency. What we're looking for: Experienced ML Engineer, working across LLM, Computer Vision, NLP, Deep Learning Experience with deploying ML models into production An understanding of emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs A proactive mindset to identify problems and create areas for improvement Degree in Computer Science, AI, Big Data, or More ❯

and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You will be responsible for shaping the strategy, building high-performing … teams, and delivering impactful ML-driven features that directly influence key business outcomes. This is a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership Define and execute the long-term strategy for Data Science & ML aligned with company goals. Champion a culture of innovation, experimentation, and scientific rigor. … Stay on top of industry trends and emerging technologies in AI/ML, particularly in GenAI, Search, RecSys, and Personalisation. Search & Information Retrieval Lead the development and optimization of scalable search systems, including relevance tuning, semantic search, and ranking algorithms. Integrate LLMs and transformer-based models to enhance search accuracy and contextual understanding. Recommendation Systems & Personalisation Oversee the design and More ❯

and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You will be responsible for shaping the strategy, building high-performing … teams, and delivering impactful ML-driven features that directly influence key business outcomes. This is a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership Define and execute the long-term strategy for Data Science & ML aligned with company goals. Champion a culture of innovation, experimentation, and scientific rigor. … Stay on top of industry trends and emerging technologies in AI/ML, particularly in GenAI, Search, RecSys, and Personalisation. Search & Information Retrieval Lead the development and optimization of scalable search systems, including relevance tuning, semantic search, and ranking algorithms. Integrate LLMs and transformer-based models to enhance search accuracy and contextual understanding. Recommendation Systems & Personalisation Oversee the design and More ❯

and visionary Head of Data Science & Machine Learning to lead and scale our data science organization. In this role, you will drive innovation and execution across core ML pillars such as Search , Recommender Systems , Personalisation , and Generative AI (GenAI) to power the next generation of user experiences. You will be responsible for shaping the strategy, building high-performing … teams, and delivering impactful ML-driven features that directly influence key business outcomes. This is a hands-on leadership role that blends deep technical expertise with strategic vision and cross-functional collaboration. Key Responsibilities Strategic Leadership Define and execute the long-term strategy for Data Science & ML aligned with company goals. Champion a culture of innovation, experimentation, and scientific rigor. … Stay on top of industry trends and emerging technologies in AI/ML, particularly in GenAI, Search, RecSys, and Personalisation. Search & Information Retrieval Lead the development and optimization of scalable search systems, including relevance tuning, semantic search, and ranking algorithms. Integrate LLMs and transformer-based models to enhance search accuracy and contextual understanding. Recommendation Systems & Personalisation Oversee the design and 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. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse 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. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse 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. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse 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. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse More ❯

groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. … Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with … researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … networks on ARM's computing platforms and devising algorithms that will elevate us to the forefront of the future. Responsibilities: Develop an in-depth understanding of current and future ML workloads on ARM compute platforms with a focus on PPA (performance, power, and area). Engage in architecture exploration, requiring joint development of hardware, software, and algorithms. Serve as the … ML Algorithm expert within this process, including algorithm innovation and prototyping to drive and validate architectural features. Develop hardware-aware optimization algorithms capable of enhancing state-of-the-art networks on Arm platforms, including CPU, GPU, and NPUs. Required Skills and Experience: 3+ years of experience in ML Algorithm Development and/or Optimization environments. A Master's or PhD More ❯

Job ID: AWS EMEA SARL (UK Branch) As a Senior Data Science & AI Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation … in Generative AI, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey. Responsibilities Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using … Amazon Bedrock and SageMaker Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice Influence customer AI strategy through technical expertise and industry insights More ❯

transformation—building the infrastructure and tooling that enables our data scientists to move from prototype to production quickly, safely, and at scale. You'll be part of a growing ML Engineering team, contributing to a modern MLOps platform and delivering robust ML services in collaboration with product, engineering, and data science colleagues. This is a hands-on role that's … ideal for someone who wants to grow in a high-impact environment with strong mentorship and real ownership. What You'll Be Doing ML Engineering & Deployment Develop and maintain machine learning pipelines for training, validation, and deployment Collaborate with data scientists to productionise models and turn prototypes into performant, reliable services Contribute to deployment tooling and automation for … both batch and real-time ML use cases Build monitoring and alerting for model health, performance, and data drift Platform & Standards Support the evolution of our internal ML platform and development workflows Apply best practices in testing, CI/CD, version control, and infrastructure-as-code Contribute to team libraries, reusable components, and shared deployment patterns Collaboration & Growth Work in More ❯

that make a real impact. This is a fantastic opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning … AI trends and contribute fresh ideas to improve models and workflows What’s in it for you? 📈 Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities. ⚙ Real-World Impact – Work on projects where your models and insights directly influence business decisions and products. 💬 Collaborative Environment – Join a supportive, innovative team that values curiosity, creativity … degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data More ❯

that make a real impact. This is a fantastic opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning … AI trends and contribute fresh ideas to improve models and workflows What’s in it for you? 📈 Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities. ⚙ Real-World Impact – Work on projects where your models and insights directly influence business decisions and products. 💬 Collaborative Environment – Join a supportive, innovative team that values curiosity, creativity … degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data More ❯

that make a real impact. This is a fantastic opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, data, and building intelligent systems that solve real-world problems. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning … AI trends and contribute fresh ideas to improve models and workflows What’s in it for you? 📈 Career Growth – Develop your technical expertise through hands-on mentorship and continuous learning opportunities. ⚙ Real-World Impact – Work on projects where your models and insights directly influence business decisions and products. 💬 Collaborative Environment – Join a supportive, innovative team that values curiosity, creativity … degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data More ❯

PRA SS1/23. The ideal candidate will have a strong quantitative background, hands-on programming experience in Python, and a track record of developing or validating AI/machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality … across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability Collaborate with model developers, compliance, and … senior stakeholders Support regulatory validation work under FCA and other relevant frameworks Contribute to the enhancement of validation methodologies for surveillance models Skills and Experience Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries Strong academic background in data science, statistics, mathematics, computer science, or a related field More ❯

Founding Machine Learning Engineer - Rapidly Growing Start-Up - London Principal ML Engineer required to join the founding team on the design and deployment of cutting-edge AI systems. This is a hands-on, high-intensity role - perfect for someone who thrives in fast-moving, high-stakes environments and wants to help build from the ground up. Responsibilities Build … and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track record … of delivering ML projects from idea → production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t More ❯

Founding Machine Learning Engineer - Rapidly Growing Start-Up - London Principal ML Engineer required to join the founding team on the design and deployment of cutting-edge AI systems. This is a hands-on, high-intensity role - perfect for someone who thrives in fast-moving, high-stakes environments and wants to help build from the ground up. Responsibilities Build … and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track record … of delivering ML projects from idea → production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t More ❯