1 to 25 of 1,779 Machine Learning Jobs in the UK

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 ...

services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. Design, train, and optimise machine learning models for audio processing … tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results ...

specific line between engineering and research teams. We operate as one cohesive unit, sharing tech stack, knowledge, and objectives. Our focus spans from fundamental ML research to commercial‐grade software development, offering diverse learning and impact opportunities. Your main responsibilities Work in the machine learning team … great fit looks like You have 2 or more years of experience as a machine learning engineer. You are familiar with several ML techniques, and have both theoretical ML knowledge and experience implementing different types of solutions. You are proficient in Python and have a good understanding ...

Machine Learning Platform Engineering Manager We’re Kingfisher, a team made up of over 74,000 passionate people bringing Kingfisher and our other brands – B&Q, Screwfix, Brico Dépôt, Castorama and Koctasto life – guided by our purpose: Better Homes. Better Lives. For Everyone. We believe a better world … This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineering Manager who can lead the productionisation of advanced AI solutions created by our Group AI team. Your work will help shape ...

ROLE OVERVIEW: We are currently looking for a Machine Learning Engineer to join a leading research organisation based in London. As Machine Learning Engineer, you will be responsible for advancing data-processing, model-building, and deployment capabilities for a pioneering research organisation. KEY DUTIES AND RESPONSIBILITIES … Your duties as the Machine Learning Engineer will be varied; however, the key duties and responsibilities are as follows: 1. Develop deep-learning pipelines for nuclear magnetic resonance (NMR) data and innovative machine learning approaches to elucidate and quantify interactions between small molecules and intrinsically ...

dedicated to supporting the advancement science and technology in an innovative environment, we encourage you to apply! Role Overview We are seeking a Machine Learning Engineer to advance data-processing and model-building and deployment capabilities at Bind. This role includes developing new machine-learning models … productionizing these models internally and externally, contributing to open-source software, and large-scale data analysis, curation, and pipeline building. Key Responsibilities Develop innovative machine learning approaches to elucidate and quantify the interactions between small molecules and intrinsically disordered proteins Integrate molecular simulations and deep learning approaches ...

Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing … Engineering Manager to join our team help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline’s rich datasets with cutting edge algorithms. What unites ...

Scientist/Machine Learning Engineer Role We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream’s physiological monitoring and alert systems. You will work closely with the biostatistics team to translate probabilistic and Bayesian models … into deployable algorithms that operate on real-world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi-sensor inputs in complex and noisy environments. You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate ...

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 recommendation capabilities across our mobile and web applications Pricing and routing optimisations to find the best … 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. Key responsibilities Work in cross ...

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 ...

learning solutions, helping organisations turn complex data into intelligent, real-world outcomes. What you'll have the opportunity to do as a Data & ML Engineer Building and maintaining scalable data pipelines that support analytics and machine learning Developing and deploying machine learning models into production … Supporting good engineering practice across testing, automation and deployment Contributing to Agile delivery through teamwork and continuous improvement About the Candidate The right Data & ML Engineer should have: Experience in data engineering, machine learning or applied AI roles Strong skills in Python and SQL, with exposure ...

Machine Learning Engineer - Spacetime UK Aalyria is a leading technology company that supplies laser communications technology and temporospatial software-defined networking platforms to the aerospace industry. With technology acquired from Google, Aalyria is at the forefront of innovation in satellite and airborne mesh networks, as well as cislunar … space. Role Overview: Aalyria’s Spacetime team is seeking an experienced machine learning engineer for a hybrid role involving ML research and development. This role will involve applying cutting-edge machine learning algorithms to solve some of Spacetime’s most challenging temporospatial networking and resource management ...

Scientist/Machine Learning Engineer We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream’s physiological monitoring and alert systems. You will work closely with the biostatistics team to translate probabilistic and Bayesian models into … deployable algorithms that operate on real‐world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi‐sensor inputs in complex and noisy environments. You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate ...

very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers … challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands‐on support for our machine learning models as they come to market but then will gradually develop self‐service tools that empower customers to achieve value independently. ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over … time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud ...

Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team – a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core … directly into the OneView platform. This includes hands‐on work with model architectures, feature engineering, model optimisation, performance debugging, schema‐aligned data preparation, and ML‐driven interfaces. This is a role for engineers who want to build and maintain real models, ship real systems, and solve real operational ML problems ...

machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation … learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial ...

world.As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with researchers and engineers to build and enable ML-powered capabilities in Autodesk products. You are an ML engineer with strong software engineering skills who is passionate about solving problems and building things … offices in London.**Responsibilities*** Collaborate on projects at the intersection of research and product with a diverse, global team* Build and iterate on ML pipelines, prototypes, and evaluation workflows, enabling rapid deployment and testing of experimental models* Work with complex datasets and representations for model training, evaluation, and analysis* Analyze ...

will shape how millions of customers play, watch, and connect every day. As a Staff Machine Learning Engineer in our Applied ML & Research team , you’ll drive the development of cutting‐edge machine‐learning solutions that power critical features across our online gaming platforms. Your work … daily. This role blends hands‐on technical work with strategic thinking. You’ll lead by example, contribute high‐quality code, and help shape the ML roadmap in the organization through cross‐functional collaboration. What you’ll you be doing: Identify high‐impact ML opportunities and influence stakeholders to prioritize ...

projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure Working with clients to take them on the journey, upskilling along … loop and can take ownership after you roll off the project Performing maturity assessments across clients’ Cloud/AI environments and recommending improvements Building ML strategy blueprints and advising clients on the different technology options Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations ...