51 to 75 of 18,859 Machine Learning Jobs in England

a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML solutions and ensuring implementation of AI initiatives across the Fitch Ratings organization. You will manage a team of 2-3 engineers, blending hands-on technical … and cross-functional teams to integrate advanced AI solutions into flagship Fitch Ratings products and workflows. The AI Chapter’s Team Objectives Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient … and secure development and deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You’ll Make An Impact Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects Oversee the design, development, and More ❯

you’ll lead impactful projects using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. … business, aligning with quarterly team objectives. Collaborative Development : Work cross-functionally with product and engineering teams to deliver high-quality results through incremental improvements. ML Lifecycle Optimization : Enhance team capabilities across the entire ML lifecycle, including data annotation, model training, deployment, and monitoring. Location and Flexibility This role is open … Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS . Demonstrated success in building and maintaining production-scale AI/ML systems . A track record of collaborating with product teams to deliver user-impactful solutions. Preferred Qualifications Experience using AI/ML in the sports More ❯

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. AI - Our AI teams are spearheading the research and development, presenting innovations at … As a Principal Machine Learning Engineer in the ShareChat AI team, you will play a pivotal role in defining and executing the ML strategy across key business domains. You will serve as one of the senior-most individual contributors in machine learning, with opportunities to lead … and deploying large-scale machine learning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machine learning systems, including data engineering, model training, and real-time inference. Domain Mastery: Specialization in large-scale More ❯

team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you’ll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions—such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows … efficient training (e.g., LoRA, PEFT), and distillation. Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack—from data preparation and model training to serving and observability—either independently or in collaboration with other specialists. Optimize model pipelines for latency, scalability … preprocessing, and feature engineering. Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). More ❯

solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We … are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and … improvement of core AI services Take ownership of the services within your expertise Contribute to the ongoing innovation R&D projects Implement and maintain ML Infrastructure Requirements Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud More ❯

Time Job Description An exceptional career opportunity is available to work for a cutting-edge fintech company dedicated to transforming financial services through innovative machine learning solutions. They are at the forefront of AI technology, offering an exciting role where your contributions will directly impact the future of … financial products and services. This is a fantastic chance to advance your career in a dynamic and supportive environment. Senior Machine Learning Engineer Key Skills: We are eager to connect with experienced Machine Learning Engineers, Machine Learning Specialists, or Data Scientists passionate about AI … and machine learning. To excel in this position, you should possess many of the following: Strong understanding of machine learning algorithms and frameworks. Proven experience with Python, TensorFlow, PyTorch, or similar tools. Expertise in developing and deploying machine learning models in a production environment. Experience More ❯

Time Job Description An exceptional career opportunity is available to work for a cutting-edge fintech company dedicated to transforming financial services through innovative machine learning solutions. They are at the forefront of AI technology, offering an exciting role where your contributions will directly impact the future of … financial products and services. This is a fantastic chance to advance your career in a dynamic and supportive environment. Senior Machine Learning Engineer Key Skills: We are eager to connect with experienced Machine Learning Engineers, Machine Learning Specialists, or Data Scientists passionate about AI … and machine learning. To excel in this position, you should possess many of the following: Strong understanding of machine learning algorithms and frameworks. Proven experience with Python, TensorFlow, PyTorch, or similar tools. Expertise in developing and deploying machine learning models in a production environment. Experience More ❯

Join the elite Applied Innovation of AI (AI2) team at JP Morgan Chase, strategically located within the CTO office. As a Machine Learning Specialist within the JPMC businesses, you will be responsible for addressing business-critical priorities using innovative machine learning techniques. You will work closely … support the growth of the business and explore novel challenges that could revolutionize the way the bank operates. Your role will involve applying advanced machine learning methods to a range of complex tasks, such as data mining, text understanding, anomaly detection, and generative AI. You will collaborate with … production. Additionally, your responsibilities will include researching new methods, developing models, and contributing to reusable code and components. Job Responsibilities: Research and explore new machine learning methods through independent study, attending conferences, and experimentation. Develop state-of-the-art machine learning models to solve real-world More ❯

ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture. Your impact As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform the … some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs You will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will … will do Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery. Identify and create novel ML techniques and the required data to train. Develop the architectures and training algorithms of machine More ❯

London, England, United Kingdom 1 day ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 6 days ago Senior ML Product Engineer - £90-125K + Benefits + Equity - London - Hybrid … days in office) Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) London, England, United Kingdom 6 hours ago Quantitative Researcher - Mid Freq Futures & Equities Actuarial Data Scientist (Non-Life Insurance Pricing) Quantitative Researcher: Europe Tactic Specialist - Two Sigma Securities UK London, England … Internship London, England, United Kingdom 2 days ago London, England, United Kingdom 6 days ago London, England, United Kingdom 1 month ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each More ❯

feedback, improving clarity, naturalness, and emotional expression in voice output. Contribute to customer-specific deployments with high adaptability and quick turnaround requirements. Collaborate with ML, product, and engineering teams to ensure seamless voice experiences across our platform. What we’re Looking For from you: Strong proficiency in Python, with deep … knowledge of software development principles, architecture patterns, and ML model integration. Hands-on experience with TTS systems (e.g., Tacotron, FastSpeech, VITS) and an understanding of SST pipelines. Familiarity with real-time AI systems, including LLM integration and latency-sensitive applications. Experience tuning and maintaining ML models for performance, scalability, and … quality in production. Bonus: Experience with Pytest or other testing frameworks for ML systems. Why should you join Praktika: Be part of the story of one of the fastest-growing early-stage consumer AI companies globally Work with a highly ambitious team using the best technologies on the market Drive More ❯

learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML-driven trading. You’ll also contribute to hiring, mentor teammates, and share insights from the broader research community through papers, internal talks, and conference travel. … candidate will have: An advanced degree in machine learning, statistics, applied math, or a related discipline; or equivalent experience in industry applying ML to challenging problems Expertise in one or more of: deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods Strong … tools like NumPy, Pandas, JAX, PyTorch or TensorFlow A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms The ability to independently formulate research questions and design experiments to answer them A desire to work on More ❯

learning foundational to this mission. With over 50 data scientists, Machine Learning engineers, data engineers and software engineers involved in ML development across multiple squads, the only scalable way forward to keep increasing our momentum is through centralised ML platforms. These platforms allow safe, efficient and … reliable ML operations. We are looking for an experienced Machine Learning engineer to scale our ML capabilities further. You will be joining a team of 5 Engineers and will be responsible for designing and implementing the infrastructure and tools that enable the development and deployment of machine … models. In this role, you will be using ground-breaking technology on the Google Cloud Platform (GCP) to build and support world-class ML systems, both batch and real-time. Who we are At Virgin Media O2, we are putting data at the heart of what we do to More ❯

about the options for this particular role. Grade: GG10-GG11 Referral Bonus: £5,000 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE … Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on prototype development and be responsible … for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring More ❯

and especially in scaling such solutions to real-world settings Degree (Master's/Doctorate) in computer science, software engineering or equivalent Experience scaling ML models, both in compute and data storage Federated learning experience is a bonus 1+ year of experience in a data-driven role, with exposure … Quantum London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago Machine Learning Engineer - Content and Catalog Management London, England, United Kingdom 6 days … Machine Learning and AI Engineering Lead London, England, United Kingdom 9 months ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Graduate Software Engineer – ML Data Platform London, England More ❯

machine learning solutions. You’ll support the implementation of AI, GenAI and Machine Learning on cloud (Experience with Azure, Azure ML, Azure Open AI and Databricks is advantageous). You’ll provide technical thought-leadership to the organisation around the ethical, sustainable and scalable use of … scientists, data engineers, MLOps engineers, architects, and the software development team when developing solutions. You’ll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You’ll adhere to the Group Code of Conduct and Fitness … and apply a relevant set of analytics techniques to a business problem, including simple analysis, visualisation, advanced analysis, and modelling. Experience of developing production ML systems, incorporating MLOps best practices to ensure long-term value delivery and minimal risk. Knowledge of AI and Generative AI implementation and the ability to More ❯

workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the foremost technical authority in Machine Learning within Monzo. You’ll shape foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business. You will work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy. You’ll … influence the development of Monzo’s ML capabilities across diverse areas, from automating support experiences to optimizing operational efficiency, and pioneering AI-driven products that improve customer outcomes. Beyond technical execution, you will mentor and guide the next generation of ML talent at Monzo, elevating the standard of ML expertise More ❯

AI, Machine learning, Deep Learning and Data science solutions across the organization. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … where the candidate will work on some flagship products The candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science promotes an excellent work culture and is known for providing a good work life balance The successful candidate will … Conduct experiments to validate the performance and effectiveness of developed models and iterate on improvements based on results. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to business Collaborate with MLEs to identify innovative machine learning More ❯

to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific … delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. More ❯

Research Scientist – Generative & Applied Machine Learning Join to apply for the Research Scientist – Generative & Applied Machine Learning role at M-KOPA Research Scientist – Generative & Applied Machine Learning 1 day ago Be among the first 25 applicants Join to apply for the Research Scientist – Generative … Applied Machine Learning role at M-KOPA We are looking for a Research Scientist – Generative & Applied Machine Learning to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets. Join M-KOPA's central Data Science team in … a fully remote role that bridges cutting-edge machine learning research with tangible social impact. You'll develop sophisticated models that drive financial inclusion while solving complex business challenges for a company that has already improved the lives of over 23 million people worldwide. Why This Role Is More ❯

Machine Learning Scientist - Graph ML/GNN's Join to apply for the Machine Learning Scientist - Graph ML/GNN's role at Relation . About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is … disease understanding—from cause to cure. Opportunity Join the Turing team as a Machine Learning Scientist, where you will develop cutting-edge ML methods, including graph machine learning, reinforcement learning, and large language models (LLMs). This role is ideal for a technically skilled ML … data challenges. The team you will become part of The Turing team focuses on leveraging advanced machine learning techniques, such as graph ML, recommender systems, and multi-agent reasoning systems, to transform drug discovery. The team’s work integrates computational insights across diverse domains, accelerating therapeutic development and More ❯

us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and … division which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You’ll be working across … our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges you will own Technical leadership of at least one company wide program Developing and implementing machine learning models and robotics systems to enhance the capabilities More ❯

an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are … machine learning techniques to analyse genetic data and DNA models. Collaborate with experimental teams and computational biologists to design, test, and validate ML-driven hypotheses. Implement transformers and other ML techniques to address challenges in biological sequences, such as DNA modelling. Contribute to building foundational models with external … data. Alternatively, expertise in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Flexibility and the ability to tackle new challenges at the intersection of biology and machine learning. Desirable Knowledge or More ❯

Social network you want to login/join with: Machine Learning Researcher - NLP/LLM, Cambridge col-narrow-left Client: RedTech Recruitment Location: Cambridge, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job … Description: Machine Learning Research Engineer - NLP/LLM Expert A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with … of cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating More ❯

an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are … machine learning techniques to gene regulation networks and cellular biology challenges. Collaborate with computational biologists and experimental teams to design and validate ML-driven hypotheses. Implement statistical and ML models for pathway analysis and single-cell transcriptomics. Contribute to the integration of machine learning methods within … the lab-in-the-loop framework. Stay at the forefront of ML and biological research to inform and innovate in computational methods. Professionally, you have PhD in machine learning, computational biology, or a related field, or equivalent industrial experience. Strong background in statistics and machine learning More ❯