51 to 75 of 2,506 Machine Learning Jobs in England

Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary team, youll help shape next-generation tools across areas such as multi-modal … impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design, implement, and evaluate ML models for structured and unstructured data Contribute to R&D proposals, technical reports, and demonstrator systems Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation … Support mentoring and knowledge sharing within the wider AI/ML group About You PhD or Masters degree in Computer Science, Machine Learning, Data Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise More ❯

Social network you want to login/join with: ML Operations Engineer II (Viator), Oxford col-narrow-left Client: Location: Oxford, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: adae2754f7c6 Job Views: 3 Posted: 12.07.2025 Expiry Date: 26.08.2025 col-wide Job Description: About Viator Viator, a Tripadvisor company, is the leading marketplace for … mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration More ❯

mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration … and real-time model needs, ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible. Touch code at every level - from the UI, backend microservices, database, big data processing, operations More ❯

mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration … and real-time model needs, ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible. Touch code at every level - from the UI, backend microservices, database, big data processing, operations More ❯

mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration … and real-time model needs, ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible. Touch code at every level - from the UI, backend microservices, database, big data processing, operations More ❯

Sr. Specialist BD, AI/ML/GenAI, SSO/GenAI Team Amazon Web Services, an Company, has been the world's leading cloud provider for more than 17 years with the most mature, comprehensive, and broadly adopted cloud platform. We have over 200 fully featured cloud services, managed from 114 availability zones within 36 geographic regions across the globe. … companies in financial services, pharmaceuticals, and technology. AWS customers are looking for ways to transform their businesses and solve their own complex business challenges with machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with end-to-end AI/ML/GenAI platforms such as Bedrock, SageMaker. Are you passionate about … AI/ML/GenAI, Deep Learning, and scalable distributed systems? Are you passionate about developing impactful ML content and strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)? AWS is seeking a Sr. Specialist BD for AI/ML/GenAI. More ❯

ll join their Data Science team working on complex problems for their digital advertising platform that processes millions of requests per second. You'll collaborate directly with Data Scientists, ML engineers, and the CTO/Co-Founder on building pipelines and ad optimization models. The role offers a perfect blend of big data challenges and cutting-edge ML applications in … and innovation. The position offers competitive compensation, comprehensive benefits, and the flexibility to work remotely from anywhere in the UK. You'll be instrumental in designing and implementing scalable ML pipelines, working with microservice architectures, and handling massive datasets in a low-latency environment. The company's commitment to personal development, work-life balance, and inclusive culture makes it an … ideal place for ambitious ML engineers looking to make a significant impact in the adtech industry. Last updated 3 months ago Responsibilities For Senior/Staff Machine Learning Engineer Design modular and scalable real time data pipelines to handle huge datasets Suggest, implement, and coordinate architectural improvements for big data ML pipelines Understand and implement custom ML algorithms More ❯

Applied Scientist, ATS Machine Learning & Engineering Job ID: Amazon UK Services Ltd. Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. … of unique products, and that improve experience of over hundreds of millions of online shoppers. As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current … operations and execution while driving quality improvements and enhanced customer experience across the entire value chain. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in building models for business application - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or More ❯

The Role - Senior Software Engineer We are seeking a talented Senior Developer with a strong focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data-driven applications. You will work on end-to-end solutions - from writing robust … machine learning models into our product ecosystem. This role requires a mix of software engineering excellence, an eye for automation, and hands-on experience with AI/ML frameworks. If you are passionate about leveraging Python to solve complex problems and deliver scalable AI solutions, we want to hear from you. Experience in the travel or retail industry … Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing. Develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to collect, preprocess, and transform data for machine learning and analytics. Work with large datasets More ❯

Description We're seeking a Junior Machine Learning Engineer to join our transversal Data team, where you'll support the transformation and modernisation of our machine learning platform. You'll collaborate across the organisation to define and implement MLOps best practices, while designing, implementing, and maintaining the infrastructure, essential for the development and deployment of machine learning models. Working closely with data scientists, data engineers, solution engineers, and other stakeholders, you'll ensure the seamless integration of machine learning models into our production systems, driving innovation and excellence within AXA UK. At AXA we work smart, empowering our people to balance their time between home and the office in a way that … and external communities and working groups. Develop reliable, scalable machine learning pipelines on Azure Databricks. Design workflows with MLFlow for the effective development, deployment, and monitoring of ML models. Stay updated on advancements in MLOps, LLMOps, Azure, and Databricks, identifying opportunities to improve ML capabilities. Work on pioneering projects that leverage data analytics and AI to revolutionise our More ❯

the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning … Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical … to senior client leadership and teams Contribute data science expertise to new sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and More ❯

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What's special about this group is they do this dozens of times per year working across multiple domains. … one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly A top degree in More ❯

Applied Scientist, ATS Machine Learning & Engineering (ML&E) Job ID: Amazon EU SARL (Spain Branch) Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those … work within our team include machine learning forecasting, planning systems and robust decision making on large networks, as well as uncertainty quantification, generative models on graphs and ml explainability, among others. We are looking for an Applied Scientist with a strong academic background in the areas of machine learning, time series forecasting, and/or optimization. … from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable and ecologically sustainable. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in building models for business application - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or More ❯

Postdocs and Research Fellows: Probabilistic machine learning, Centre for AI Fundamentals, Manchester, UK, DL July 27, 2025 Jul 14, 2025 I am hiring in my machine learning group in Manchester, UK, DL July 27, 2025 Funded by UKRI Turing AI World-Leading Researcher Fellowship, in the Manchester Centre for AI Fundamentals. We are particularly interested in … developing new machine learning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and … simulation-based inference. The positions come with excellent opportunities for collaboration with machine learning researchers in the ELLIS Unit Manchester and the rest of the ELLIS network, and with researchers in other fields for AI for Research. These are fixed-term positions for a year, but there will be opportunities for excellent researchers to continue in my team More ❯

us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we've built in functional expertise. We are looking for a Machine Learning Scientist III to use Machine Learning to help optimise hundreds of millions of dollars of Marketing spend and to help increase customer long-term value … multiple marketing channels to enhance performance, cost-effectiveness, and strategic capital allocation. Collaborate with engineering, MetaSearch partners such as Google, trivago, and other key stakeholders to integrate and improve ML models that support efficient decision-making and scalability. Tackle high-impact modelling challenges, including data scarcity and dynamic auction environments, to ensure effective programmatic solutions for travel product engagement. Continuously … experiment and learn to adapt strategies to emerging trends and insights, improving efficiency and outcomes. Experience and qualifications: You have 3+ years of proven experience in machine learning and statistical modelling, including building datasets, selecting and engineering features, and developing and optimising algorithms. You are a skilled programmer with a strong command of major machine learning More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design, engineering, and systems control. We help our customers fundamentally improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of … PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. The core of this platform is powered by several Machine Learning Python Libraries handling everything from data processing, to deep learning model training, and complex optimisation algorithms. The Libraries team is responsible for designing, developing, and maintaining … those Machine Learning Libraries. As a Software Engineer within the team, you will focus on the underlying engineering that makes our libraries fast, scalable, and a pleasure to use. You are a software craftsperson who champions best practices, ensuring that our entire development lifecycle-from code design to CI/CD-is robust and maintainable. Your work provides More ❯

Machine Learning Full Time The opportunity We are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. You will play a key role amongst a team of scientists designing and engineering proteins for specific functions. This is an opportunity to help shape and grow an organization that … challenges. Using your blend of computational expertise and in-depth biochemical understanding of proteins, you will generate insights to improve protein functionality and operate at the interface between our machine learning and experimental platform units, working closely to seamlessly integrate AI generations and lab validation data. Who we are At Latent Labs, we are building frontier models that … protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and More ❯

Tech Companies Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale. If you're experienced with model design, training, and deployment and want to work globally from home we want to hear from … you. What Youll Do: Build and deploy machine learning models to address complex business needs Develop scalable data pipelines and feedback loops for model training Integrate ML into production systems alongside US product and data teams Optimise model performance for accuracy, speed, and cost Run experiments, A/B tests, and validate approaches statistically Use tools like Python … in Computer Science, AI, Machine Learning, or related field 1+ year of experience in a Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus More ❯

Tech Companies Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale. If you're experienced with model design, training, and deployment and want to work globally from home we want to hear from … you. What Youll Do: Build and deploy machine learning models to address complex business needs Develop scalable data pipelines and feedback loops for model training Integrate ML into production systems alongside US product and data teams Optimise model performance for accuracy, speed, and cost Run experiments, A/B tests, and validate approaches statistically Use tools like Python … in Computer Science, AI, Machine Learning, or related field 1+ year of experience in a Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus More ❯

Tech Companies Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale. If you're experienced with model design, training, and deployment and want to work globally from home we want to hear from … you. What Youll Do: Build and deploy machine learning models to address complex business needs Develop scalable data pipelines and feedback loops for model training Integrate ML into production systems alongside US product and data teams Optimise model performance for accuracy, speed, and cost Run experiments, A/B tests, and validate approaches statistically Use tools like Python … in Computer Science, AI, Machine Learning, or related field 1+ year of experience in a Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus More ❯

Deliver Scalable AI Solutions Define approaches to embed and scale machine learning models within customer data platforms and enterprise systems. Partner with engineers and developers to deploy ML algorithms that deliver tangible business value. Ensure the scalability and efficiency of AI solutions in real-world production environments. Consult and Guide with Impact Understand business requirements and support the … and provide data science leadership to senior client stakeholders. Contribute expertise to new sales and pre-sales initiatives as a subject matter expert. Consult on complex analyses and advanced ML techniques across industries and use cases. Build Best Practices and Reusable Assets Create reusable components, accelerators, and frameworks to address both current and future business needs. Shape data science strategy … experience in the following skills: Core Data Science & Machine Learning Strong professional experience in data science, machine learning, and business analytics Hands-on experience with ML techniques such as XGBoost, deep neural networks, and transformers Practical knowledge of ML libraries and frameworks such as Fastai, Keras, TensorFlow, PyTorch, and Scikit-learn Ability to research, understand, and More ❯

Job Overview: The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm … development, and tools, driving this unified effort forward. Develop in depth understanding of ML workload, develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current and future Arm platforms. Implementation of performance critical machines specific kernel or ARM assembly codeon dedicated hardware accelerator and CPU to drive algorithm and architecture exploration Collaborate with ML Algorithm development team … to explore performance critical analysis Develop internal tooling capabilities to support algorithmic and architecture exploration Examples: Develop performance critical assembly code to accelerate ML operations done in low precision arithmetic Develop performance critical kernel to accelerate fusing of multiple ML operations on accelerators Explore different quantization schemes and assess performance PPA trade off We are looking for individuals who: 3+ More ❯

Senior Research Scientist (Data Science & ML) £60,000 - 70,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Data Science and Machine Learning Research Scientist Location: Chelmsford | Hybrid (2 days onsite) | Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research … Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary team, you'll help shape next-generation tools across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity You'll join a 35+ person AI & Machine Learning capability … impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design, implement, and evaluate ML models for structured and unstructured data Contribute to R&D proposals, technical reports, and demonstrator systems Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation More ❯

Sciences, Logistics, Chip Design, and Quantum ML. The Role: We seek a highly skilled Machine Learning Engineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a practical reality. If you thrive on system-level analysis, find joy in squeezing every ounce of … you. Responsibilities Scaling Expertise: Design and implement strategies to efficiently scale machine learning models across diverse hardware platforms (GPU/TPU). Performance Optimisation: Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and implementing targeted optimisations. Distributed Systems Architecture: Create robust distributed training and inference solutions for maximum computational efficiency. Algorithmic Optimisation: Research and understand the …/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly Desirable Track record of successfully scaling ML models. Experience writing custom CUDA kernels or XLA operations. Understanding of GPU/TPU architectures and their implications for efficient ML systems. Fundamentals of modern Deep Learning Actively following More ❯

of the outdoors and a desire to protect it for future generations. Responsibilities As a member of our Autonomy organization, you will guide the strategy, architecture, and deployment of machine learning models for our vehicle's perception. These models support autonomous driving features and in-vehicle experiences by enabling environmental understanding. Your work will directly impact the core … architecture, and scaling roadmap for perception systems, ensuring they meet autonomous driving demands and champion new technologies Perception Model Lifecycle Management: Lead the end-to-end development of scalable ML models for critical perception tasks (object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment Team Leadership & Mentorship: Build, mentor, and lead a high … engineers, fostering a culture of innovation, technical excellence, and continuous improvement Cross-Functional Collaboration & Integration: Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML infrastructure) to deliver seamlessly integrated and high-performing autonomous features Qualifications MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field Experience (typically More ❯