151 to 175 of 11,673 Machine Learning Jobs in the UK

supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure … Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. … stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud More ❯

the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML …/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. … Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code More ❯

delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning … Science, with a specialization in machine learning or equivalent experience. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data, and ideally also unstructured data. Industry work experience in designing and implementing large-scale machine learning-based solutions that … DL training/Inference. Experience with reducing model serving latency, memory footprint. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender More ❯

delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning … Science, with a specialization in machine learning or equivalent experience. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data, and ideally also unstructured data. Industry work experience in designing and implementing large-scale machine learning-based solutions that … DL training/Inference. Experience with reducing model serving latency, memory footprint. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender More ❯

by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will … choices, and be able to explain them to the organization. Qualifications Required Qualifications: Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A strong More ❯

medical notes for use in oncology research. The Data Curation team is helping to build these next generation research data products, developing and applying ML models to capture a complete picture of the patient journey As part of our team, you will develop and validate models to solve applied clinical … to conduct high quality research. Build models to turn raw clinical data into high quality research variables, drawing on your knowledge of LLMs, traditional ML, and NLP techniques to determine the right methods to use for a given problem. Work with quantitative scientists and oncologists to validate that your models … can be used to generate sound scientific insights. Collaborate with other Data Scientists to accelerate our ML capabilities and develop novel approaches to clinical data extraction from unstructured health records. Work cross-functionally with software engineers to productionize, scale, and monitor your models. Who You Are You're a product More ❯

by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will … choices, and be able to explain them to the organization. Qualifications Required Qualifications: Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A strong More ❯

data to create the ultimate private company database for the UK and, as of recently, Germany too. Through a combination of people power and machine learning, our platform helps 20+ different industries invest in, understand, and partner with these exciting businesses. We're at a pretty exciting stage … and work better with the UK's private companies. (read more about our exciting engineering team on our dedicated notion page): The role Our Machine Learning team is expanding into three key areas: [1] enabling us to significantly expand the depth and breadth of our data, [2] empowering … responsibilities might include: Research & Evaluation: Understand the specifics of a business requirement and assess whether it could be improved by a data product or machine learning solution Develop Proofs of Concept: Start with a problem, investigate possible solutions, and create a proof of concept to assess whether it More ❯

complex defence use cases-ranging from autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with … software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background in machine … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. This year, we’ve embarked on an exciting double collaboration with GSK to tackle … that push the boundaries of drug discovery and therapeutic discovery. The Turing team focuses on advanced machine learning techniques such as graph ML, recommender systems, and multi-agent reasoning to transform drug discovery. Meanwhile, the Ada team specialises in integrating single-cell transcriptomics and computational biology with machine … skills in at least two of the following areas: Data engineering (e.g., handling large-scale datasets like billion-row data frames and databases). ML engineering (e.g., model optimisation, deployment, and training). Software engineering (e.g., OOP, system design, CI/CD, and testing). Familiarity with industry-standard cloud More ❯

company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such … on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine … ll collaborate closely with data scientists, data engineers, architects, and the software development team. 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 More ❯

company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such … on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine … ll collaborate closely with data scientists, data engineers, architects, and the software development team. 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 More ❯

Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required Mid-level professional with 2-4 years of ML/AI experience, typically at an Analyst level role or external equivalent A scientific approach to solving problems, an analytical mind, and experience in applied … LLM outputs Good foundational knowledge of standard machine learning algorithms and statistical methods Proficient in python and its standard data science and ML libraries (e.g., numpy, pandas, scikit-learn, boosting and data visualization libraries) Practical experience in data processing and feature engineering for machine learning applications … London, England, United Kingdom 1 week ago Senior Analyst, Software Solutions (Oxford Based Role) London, England, United Kingdom 1 month ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 days ago City Of London, England, United Kingdom 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 … and, most importantly, impact patients’ lives. 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 ❯

educational institutions on the globe. They’re working on cutting edge technologies that are revolutionizing the AI landscape. Now is the time for another ML Engineer to come on board and be a key part of the UK team. This role is fully remote, but it would be good if … are open to travelling to Silicon Valley 1-2 times per year for collaboration. The Job You’ll be a talented, motivated or aspiring ML Engineer with either a top Uni degree in Maths/CS or 6-18 months experience in a native AI start up. As a key … hire you will work on training next gen models alongside an established US team. Required Skills and Experience: Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. Proficiency in MLOps best practices, including model versioning, CI More ❯

Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Machine Learning Engineer specialising in Imitation Learning to join our dynamic R&D team. A passion for pushing the boundaries of artificial intelligence … and a commitment to publishing in top-tier conferences and journals are essential. Our team is at the forefront of Imitation Learning and Reinforcement Learning techniques for game-playing agents, and we seek an expert in the field to join us in developing new technologies. As a Machine Learning Engineer, you will be a key contributor to our research team, supporting the technical lead in driving technical excellence and innovation. You will be responsible for designing, implementing and optimising novel machine learning models and algorithms to perform challenging and diverse tasks. You will perform More ❯

Associate Machine Learning Scientist page is loaded Associate Machine Learning Scientist Apply remote type Partially Remote locations London, UK time type Full time posted on Posted 6 Days Ago job requisition id JR4784 Company Description Depop is the community-powered circular fashion marketplace where anyone can … cadence, technical whiteboarding sessions, planning and product roadmapping) Report and present technical findings to technical and non-technical audiences Skills and Experience: Experience developing ML models to solve real-world problems, experience working as a Data Scientist or Machine Learning Scientist Proficiency in Python Solid understanding of machine … work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up to date with applied ML developments Bonus Points: Experience with pricing models, causal inference, or revenue optimisation Experience with NLP, image processing, information retrieval, and deep learning models Experience More ❯

including millions of cells across multiple tissues and conditions (e.g., disease, healthy). This involves a detailed understanding of the training of large-scale ML models and a track record of undertaking large data-science projects. What you'll be doing: Independently manage and lead machine learning projects … helps us understand biological processes and disease progression more deeply . You will work within an interdisciplinary team of life scientists and computer/ML scientists, with a shared objective of advancing biological research through these foundational models. This role will sit within the AI/ML Faculty group led … Physics, Engineering, or Applied Statistics/Mathematics) Proven experience using advanced statistical techniques, machine learning, and modern deep learning techniques. Previous ML work experience in scientific/academic environment (RA/Internships are considered as work experience) Strong knowledge of Python, including core data science libraries such More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model … models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with existing systems and workflows. CI/CD for ML : Design and implement continuous integration and delivery pipelines for efficient model deployment. Model Monitoring : Monitor machine learning models in production, ensuring ongoing performance … improve machine learning infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g. More ❯

Machine Learning Engineer - SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to collaborate with top talent in the field of artificial intelligence. Their latest AI … are reshaping the landscape of AI, offering innovative models that exceed current industry benchmarks. Come aboard our team and help shape the future of machine learning and AI. Our client is looking for passionate Machine Learning Engineer candidates with experience in some or all of the More ❯

and supply chain software. Data Mastery: Utilize your expertise in R/Python, SQL, and Azure to extract, analyse, and interpret complex data sets. Machine Learning: Design and deploy machine learning models that drive business insights and operational efficiencies. Cutting-Edge Tools: Leverage advanced AI tools … to support scalable, robust data solutions. What We're Looking For: Technical Proficiency: Strong experience with R/Python, SQL, Azure, and AI tools. Machine Learning Expertise: Proven track record in developing and deploying machine learning models. Data Platform Experience: Solid understanding of data platforms and … Widows) and life assurance (2x basic salary). Perks & Benefits: Access to Perkbox and Medicash, and eligibility to join our electric vehicle scheme. Continuous Learning: Exposure to new technology with company-sponsored learning and development opportunities. Why Join Us? At our company, we are constantly evolving and staying More ❯

Engineering Lead role at Firemind Get AI-powered advice on this job and more exclusive features. Artificial Intelligence (AI)/Machine Learning (ML) Engineering Lead Location: UK, Finland (Hybrid) About Firemind Firemind is a specialist in Generative AI and Data Modernisation and an AWS Premier Partner. We help … placing just after Nvidia - this is a big milestone for our small and focused team! The Role We’re looking for an AI/ML Engineering Lead to manage and support our AI and machine learning team. This role combines hands-on technical work with people leadership. You … and operate, particularly as we expand our presence in Finland. Key Responsibilities Team leadership and development Manage and support a team of AI/ML engineers through regular 1:1 meetings and coaching. Help the team stay focused, balanced, and aligned with project goals. Spend approximately 1.5 days per week More ❯

work with: Reporting to the Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're … proactive problem-solver with a passion for machine learning, we'd love to meet you. The impact you'll have: As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You … algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance efficient machine learning pipelines, ensuring their scalability and performance. Collaboration & Cross-functional Integration: Work closely More ❯

techniques. We are uniquely positioned to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build algorithmic products that power the company. We are embedded in … product teams, close to business problems, and tackle some of the hardest challenges. ML Engineers translate fuzzy business problems into concrete pipelines, design and implement them, deploy models to production, and collaborate with data scientists to run experiments. ML Engineers at Deliveroo report to our Science management team. We have … robust technical review process, a career progression framework, and many learning opportunities. We offer career pathways for both managers and individual contributors. Our ML Engineers come from diverse disciplines but share a common excellence; many are formally trained in Machine Learning, many are not. We are seeking More ❯

Graduate AI and Machine … Learning Engineer About Data Reply: DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. www.data.reply.com Role overview: As a Graduate AI … in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data More ❯