1 to 25 of 1,744 Machine Learning Jobs in the UK

Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists … Learning Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/Generative AI Engineer/LLM Engineer/ML Software Engineer/AI Software Engineer/Machine Learning Software Engineer/ML Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer ...

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical … hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning ...

world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most organisations are still building cloud-first systems. They are building ground-truth systems: devices that operate autonomously, make decisions in real time … relevant libraries: scikit-learn, TensorFlow, pandas, NumPy Real-world experience working with sensor data, time-series data, or IoT data streams Familiarity with embedded ML tools and approaches: TensorFlow Lite, Edge Impulse, ONNX Runtime, or equivalent Hands-on mindset; comfortable getting close to hardware, firmware code, and the real-world ...

move beyond experimentation and into real-world production environments. The Role As a Machine Learning Engineer, you will work across the full ML lifecycle, from designing and developing models through to deploying, scaling and continuously improving production systems. Depending on seniority, you will also have the opportunity … Develop and deploy production-grade Machine Learning solutions , building scalable AI systems that solve complex real-world challenges. Design end-to-end ML architectures , including model development, MLOps pipelines, deployment strategies and continuous optimisation. Collaborate with engineering, data and product teams to deliver robust, production-ready AI solutions ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI capabilities. As part of an expanding team, the business is delivering a range … learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with ...

robust, scalable production systems. Youll work closely with engineers, data scientists, technical leadership and clients to understand challenges, shape solutions and deliver high-quality ML products. Youll be involved across the full lifecycle, from technical discovery and architecture through to deployment, optimisation and ongoing improvement. Key Responsibilities: Build and deploy … production-grade machine learning software, tooling and infrastructure. Design reusable and scalable solutions that accelerate the delivery of ML systems. Work collaboratively with software engineers, data scientists and commercial stakeholders to solve complex client challenges. Lead technical discovery, scoping and architectural decisions. Help establish and improve engineering standards ...

Talent team know if you need any adjustments throughout the process in whatever way works best for you.Job DescriptionWe're looking for a Senior Machine Learning Engineer to join our Outfits Discovery team, where we're building the next generation of AI-powered fashion experiences at ASOS.Our mission … customers.Working alongside Machine Learning Scientists, Software Engineers and Product Managers, you'll play a key role in designing, building and operating production ML systems at scale. You'll tackle challenging problems across recommendation systems, personalisation, deep learning and AI-powered outfit generation, helping shape the future ...

Data Scientist Job Title: Data Scientist Type: Fix Term Contract Work Pattern: Hybrid (2-3 days per week in office Sector: Data Science | Machine Learning | Advanced Analytics Duration: 06 MonthsPay: £500 to £750 per day Inside IR35 Location: Welwyn Garden City and London About the Role … seeking a talented Data Scientist to develop and deploy machine learning solutions that directly influence business decisions, enhance customer experiences, and improve operational efficiency. You will be responsible for translating complex business challenges into scalable data science solutions, building and deploying robust machine learning models ...

Machine Learning Engineer £75k-£100k DOE | UK Remote About the Role We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone … combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer ...

artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity … apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly ...

build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML lifecycle … using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data ...

core of how Trainline is transforming travel, helping millions of customers make smarter, more sustainable journeys every day. Our ML models and AI solutions power critical aspects of our platform, including:Advanced search and recommendations capabilities across our mobile and web applicationsPricing and routing optimisations to find the best fares … Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML & AI enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of customers.As a Machine Learning ...

learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML productsDeep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using … required; a Master's or Ph.D. in a related discipline is preferred, but not requiredResponsibilitiesLead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business.Lead the end-to-end design, development ...

machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools … deliver innovative solutions using AI & Cloud.What You'll DoTranslating Requirements: Interpret vague requirements and develop models to solve real-world problems.Data Science: Conduct ML experiments using programming languages with machine learning libraries.GenAI: Leverage generative AI to develop innovative solutions.Optimisation: Optimise machine learning solutions for performance ...

STEM discipline such as Computer Science, Mathematics, Physics, Engineering, or related fields Commercial experience developing machine learning solutions using Python and modern ML frameworks Strong understanding of applied machine learning techniques, particularly around modelling complex systems and large-scale datasets Experience working with time-series, forecasting … work autonomously within a fast-moving environment Interest in applying machine learning to operational, industrial, or physical systems Desirable Experience Experience deploying ML systems into production environments Exposure to scientific machine learning, simulation, or reinforcement learning Familiarity with cloud infrastructure and scalable ML pipelines ...

About the Job ML Research PhD Expert Location: Remote Engagement Type: Hourly Contract Compensation: $60–$100/hour About the Opportunity This opportunity is for accomplished Machine Learning Researchers with publications at top-tier AI conferences including ICML, NeurIPS, and ICLR . You will contribute to advanced … learning, and problem-solving capabilities of next-generation AI systems. The role is focused on researchers with a strong track record of original ML contributions and algorithmic innovation rather than purely applied analytics work. Ideal Qualifications • PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely ...

About the Job ML Research PhD Expert Location: Remote Engagement Type: Hourly Contract Compensation: $60–$100/hour About the Opportunity This opportunity is for accomplished Machine Learning Researchers with publications at top-tier AI conferences including ICML, NeurIPS, and ICLR . You will contribute to advanced … learning, and problem-solving capabilities of next-generation AI systems. The role is focused on researchers with a strong track record of original ML contributions and algorithmic innovation rather than purely applied analytics work. Ideal Qualifications • PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely ...

About the Job ML Research PhD Expert Location: Remote Engagement Type: Hourly Contract Compensation: $60–$100/hour About the Opportunity This opportunity is for accomplished Machine Learning Researchers with publications at top-tier AI conferences including ICML, NeurIPS, and ICLR . You will contribute to advanced … learning, and problem-solving capabilities of next-generation AI systems. The role is focused on researchers with a strong track record of original ML contributions and algorithmic innovation rather than purely applied analytics work. Ideal Qualifications • PhD in Machine Learning, Artificial Intelligence, Computer Science, or a closely ...

take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems. Your responsibilities will include: Designing and implementing production-ready machine learning systems. Owning the full ML lifecycle … learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into production. Strong understanding of modern ML architectures and production challenges. Excellent software engineering skills with a focus on maintainable, production-quality code. Ability to work independently and take ownership of technical ...

preclinical, clinical, external).Contribute to translational programs across disease areas and communicate modelling insights to influence decision-making.Stay current with advances in AI/ML and their application to ADME, PK/PD, and drug discovery and development, and proactively evaluate and bring appropriate innovation into practice to improve efficiency … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language ...

team in Cambridge working on cutting-edge machine learning projects from concept through to deployment.The Role:Research and develop innovative AI/ML solutions for challenging technical problems.Design, train and evaluate machine learning models across a variety of applications.Rapidly prototype, test and optimise new ideas.Analyse research … papers and apply the latest ML techniques.Design experiments, interpret results and present technical findings.Requirements:Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject.Commercial or research experience in Machine Learning (industry, PhD, MSc or personal projects).Strong Python programming skills.Experience with one or more ML ...

+ Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised … techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high ...

Engineer to join a growing AI and Data Science function within a leading global organisation. This team is responsible for developing innovative AI, Machine Learning and Natural Language Processing (NLP) solutions that power intelligent products used by customers around the world. Working within a collaborative, cross-functional engineering … environment, you'll play a key role in designing scalable AI platforms, productionising machine learning models and building cloud-native services that deliver real business value. This is an excellent opportunity for someone who enjoys solving complex technical challenges while mentoring others and influencing engineering best practices. ...

work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation … with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine ...