51 to 75 of 2,511 Machine Learning Jobs in the UK

clients. Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. 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 machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client … functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. 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) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big More ❯

Senior Platform Engineer, Machine Learning Cardiff, London or Remote (UK); London We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service … re not about selling products - we want to solve problems and change lives through Monzo ️ London/UK Remote £95,000 - £130,000 + stock options + Benefits About Machine Learning Platform Engineering at Monzo: The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We … our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale. Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions. How we work Locations & Flexible Working: Our More ❯

Senior Platform Engineer, Machine Learning Cardiff, London or Remote (UK); London We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service … re not about selling products - we want to solve problems and change lives through Monzo ️ London/UK Remote £95,000 - £130,000 + stock options + Benefits About Machine Learning Platform Engineering at Monzo: The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We … our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale. Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions. How we work Locations & Flexible Working: Our More ❯

Revolutionising Healthcare Through Machine Learning. The field of machine learning has advanced far beyond the futuristic ideas portrayed in Sci-Fi films like Robocop and Transformers. Today, machine learning represents a groundbreaking tool in healthcare and pharmaceuticals, offering solutions to transform patient outcomes and advance the industry. This is your opportunity to join a brand … new Machine Learning team within one of Europes fastest-growing AI start-ups. Their mission? To develop cutting-edge AI solutions that tackle the unique challenges in healthcare and pharma, delivering scalable innovations that improve drug development, diagnostics, and treatment delivery. Based in vibrant offices in Barcelona or Madrid, youll work at the forefront of machine learning … Collaborating closely with Data Scientists and Engineers, youll produce advanced AI solutions while optimizing MLOps processes to drive efficiency and impact. The ideal candidate will bring experience as a Machine Learning Engineer or Data Scientist, preferably within the healthcare, biotech, or pharmaceutical space. Strong Python coding skills and expertise with cloud infrastructure (AWS preferred) are essential, as is More ❯

Senior Platform Engineer, Machine Learning Cardiff, London or Remote (UK); London We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service … re not about selling products - we want to solve problems and change lives through Monzo ️ London/UK Remote £95,000 - £130,000 + stock options + Benefits About Machine Learning Platform Engineering at Monzo: The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We … our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale. Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions. How we work Locations & Flexible Working: Our More ❯

We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion … including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Drive diverse groups of engineers to achieve ambitious goals; you will work … our product and technical direction. Grow the engineers around you through mentorship and support, ensuring we are all continuously improving together. This position allows you to influence what the ML team is working towards, and to efficiently leverage other engineers to increase the output of your experience. Who we are looking for: Someone who can act as a tech lead More ❯

We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion … including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Drive diverse groups of engineers to achieve ambitious goals; you will work … our product and technical direction. Grow the engineers around you through mentorship and support, ensuring we are all continuously improving together. This position allows you to influence what the ML team is working towards, and to efficiently leverage other engineers to increase the output of your experience. Who we are looking for: Someone who can act as a tech lead More ❯

and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based Machine Learning Development * Collaborate with domain experts and analysts to design and … implement machine learning models that predict key outcomes such as life expectancy, investment return scenarios, and financial risks. * Deploy and manage ML solutions using Azure Machine Learning (Azure ML), covering training, testing, and deployment to production. * Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps … Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools. * Implement CI/CD pipelines with Azure DevOps, ensuring robust version control, testing, and seamless deployment. * Monitor production ML systems for performance, data drift, and anomalies using Azure Monitor or other observability tools. * Schedule and automate model retraining pipelines More ❯

and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based Machine Learning Development * Collaborate with domain experts and analysts to design and … implement machine learning models that predict key outcomes such as life expectancy, investment return scenarios, and financial risks.* Deploy and manage ML solutions using Azure Machine Learning (Azure ML), covering training, testing, and deployment to production.* Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps … Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools.* Implement CI/CD pipelines with Azure DevOps, ensuring robust version control, testing, and seamless deployment.* Monitor production ML systems for performance, data drift, and anomalies using Azure Monitor or other observability tools.* Schedule and automate model retraining pipelines More ❯

Senior Machine Learning Engineer Senior Machine Learning Engineer Innovation team working on Autonomous Vehicle Control Salary: £550 - £700 per day - 1 year minimum project The Senior Machine Learning Engineer will join a Government backed innovation project around Autonomous Vehicle Control. You will join a team of 10 people working in London, whilst also collaborating … closely with a European based team. A suitable candidate will likely have 2-3 years experience experience working in AI & deep learning API's, with a focus on robotics/automation. It is not essential to have experience in Autonomous Vehicle Control. Experience of computer vision systems/Advanced visual perception. Neural Networks Signal & Image Processing Algorithmic knowledge of … supervised/unsupervised machine learning systems and deep learning API/principles Python/C++. OpenCV, Ubuntu/Debian This is an urgent requirement to join a passionate innovation team working on next generation autonomous vehicle control. The project is minimum 1 year in length with a clear goal to reach, which if achieved will offer the More ❯

mentor at least one Machine Learning Engineer (MLE), and collaborate closely with machine learning engineers, backend engineers, and product managers to develop scalable, high-performing ML solutions that elevate the customer journey. You'll combine technical brilliance with strong commercial acumen and understanding ofproduct needs, with pragmatic scalable and robust solutions at the core of your … deliver industry standard data quality. Collaborate cross-functionally: Work closely with data analysts, product managers, and business stakeholders to translate business needs into technical solutions. Manage and mentor other ML practitioners, sharing knowledge and raising the technical bar across the team. Lead the innovation! You'll have a keen passion for staying updated with the rapidly evolving AI landscape, identifying … as prompt engineering, chain-of-thought reasoning, prompt chaining, Retrieval-Augmented Generation (RAG), custom-built agents. Familiarity with LLM and agentic frameworks like LangChain, PydanticAI, or similar. Proficiency in ML-Ops practices and tools; strong understanding of DevOps and CI/CD. Experience with cloud platforms, e.g. AWS (preferred), GCP, and deploying models in production. Experience developing and shipping GenAI More ❯

and solutions at the cutting edge of Machine Learning and AI. If that excites you, we'd love to chat. We're looking for an AI/ML Engineer to help us make this vision a reality. Competitive candidates are outstanding engineers with a track record in developing SOTA deep learning models for solving challenging real world …/drug discovery challenges into well-defined machine learning problems, particularly in the computer vision domain (both images and video). Execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmarking, and product driven research for model performance improvement, to shipping stable, tested, performant … achieve our goals: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional AI/ML engineer. Experienced in developing deep learning models for solving real world scientific problems. For example, creating a visual transformer to detect anomalous tissue from a tissue sample or creating More ❯

Intelligence & Machine Learning) £400 - £500 per day | Remote/UK-Based | Contract/Freelance Are you an expert in Artificial Intelligence (AI) and Machine Learning (ML) looking for flexible freelance opportunities? We are seeking an experienced AI Trainer to deliver AI and Machine Learning training courses to professionals and organisations across the UK. As … provider of IT and technology training , you'll deliver high-quality, hands-on AI training programmes that help businesses harness the power of modern AI technologies. Responsibilities ? Deliver AI, Machine Learning, and Data Science training courses virtually or in-person ? Create an interactive, engaging learning experience for corporate teams and professionals ? Share best practices and real-world … AI use cases to enhance learning outcomes ? Keep training content up-to-date with emerging AI technologies and trends Requirements ? Proven expertise in AI, Machine Learning, Deep Learning, and Data Science ? Experience as a trainer, instructor, or consultant in a technical field ? Strong communication and presentation skills for diverse learners ? Familiarity with AI tools such as More ❯

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 ❯

Synechron is looking for a skilled Machine Learning Developer with expertise in Spark ML to work with a leading financial organisation on a global programme of work. The role involves predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimise machine learning solutions for … large-scale data processing and predictive analytics. Role: Develop and implement machine learning models using Spark ML for predictive analytics Design and optimise training and inference pipelines for distributed systems (e.g., Hadoop) Process and analyse large-scale datasets to extract meaningful insights and features Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines … tasks Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering) Experience with distributed systems like Hadoop for data storage and processing Proficiency in Python, Scala, or Java for ML development Familiarity with data preprocessing techniques and feature engineering Knowledge of model evaluation metrics and techniques Experience with deploying ML models in production environments Permanent or Contract position - Swift onboarding More ❯

Learning Consultant at La Fosse Machine Learning Engineer London (Hybrid) Up to 65,000 One of La Fosses best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. Im looking … Machine Learning Engineer to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systemswith real-world impact on financial security and compliance. What Youll Do: Develop and deploy machine learning … dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using Python and modern tooling (gRPC, Alembic, Pytest, etc.). Requirements: 13 years of experience in ML or AI Proficiency in Python, SQL 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 ❯

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 ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you’ll be … at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and … implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. Requirements: Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling. Experience in Python, TensorFlow, or similar frameworks. A passion for cryptocurrency More ❯

supporting them in their day-to-day tasks. As a Sr. Machine Learning Engineer, you will need to: Develop a state of the art data science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity … and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and … libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences. Self-starter with excellent communication and time management skills. Strong computer programming skills, with knowledge of Python, R More ❯

Machine Learning Engineer - Forecasting The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform … review process; a career progression framework; and plenty of opportunities to learn new things. The Role In this role, you'll be designing, building and continuously improving the algorithmic, machine learning systems and decision-making processes that power forecasting at Deliveroo. Our goal is to provide accurate forecasting models across Deliveroo domains and markets at the appropriate level … solution. And you get satisfaction from working with non-technical stakeholders and seeing your algorithms shipped and driving measurable impact to the business. Requirements 3+ years' experience as a ML Engineer or Data Scientist Ability to produce accurate forecasts across multiple business domains accounting for change in trends due to seasonality and other factors with focus on robustness and reusability 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 ❯

to explain what you do to your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across multiple industries and functions. … on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications … Senior Consultant, Data Scientist - Software Engineering - Digital Engineering - FS London, England, United Kingdom 2 weeks ago Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) London, England, United Kingdom 2 weeks ago Associate Director - Research & Insights AI Associate Director, Life Sciences, Research & Development London, England, United Kingdom 2 weeks ago Senior Manager - Machine More ❯