1 to 25 of 1,064 Machine Learning Jobs in the UK

sustained improvements to products, prices and 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 by using robust test … improve company performance and our 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 the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of … Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel … in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with … techniques in disciplines such as Deep Learning and Reinforcement Learning For more information about the MLCOE, please visit To learn about how we're using AI/ML to drive transformational change, please read this blog: The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes More ❯

customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across … customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you'll be working on As a Senior Lead ML Scientist, you'll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist. This will give you a real opportunity to lead us into an … will help us take our real time systems to the next level. As our most senior technical IC, you'll be providing key technical leadership and shipping highly impactful ML-based solutions. You'll be empowered to work across the collective identifying the most impactful areas and leading solution development. You'll work with our mission-oriented cross functional product More ❯

Machine Learning Engineer page is loaded Machine Learning Engineer Apply locations London, UK time type Full time posted on Posted 30+ Days Ago job requisition id R2550 Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with … a recently published research paper Writing custom libraries for efficiently training on petabytes of data Reducing model training times by hand optimising machine learning operations Profiling custom ML architectures to identify performance bottlenecks Evaluating the latest hardware and software in the machine learning ecosystem Who are we looking for? Candidates will be comfortable working both independently … science competitions, such as Kaggle Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you don't need to have all of the above Excellent ML reasoning and communication skills are crucial: off-the-shelf methods don't always More ❯

Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … efficiency, synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a Machine Learning Engineer … to join our team and lead the charge in applying cutting-edge machine learning to cyber threat intelligence. In this highly impactful, hands-on role, you'll design, develop, and deploy scalable machine learning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our More ❯

commercial goals by harnessing 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 to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Develop state-of-the art machine learning models to solve real … Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required Qualifications, Capabilities, and Skills PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or More ❯

Role Machine Learning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented Machine Learning Engineer eager to make an immediate impact on exciting projects? Our … client is seeking an experienced professional for a hybrid position to be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software … such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. Knowledge of version control systems (e.g., Git) and CI/CD practices for ML workflows. Experience 3+ years of hands-on experience as a Machine Learning Engineer More ❯

Career Opportunities: AI and Machine LearningEngineer - (10783) Requisition … ID 10783 -Posted - Years of Experience (1) - Technology - Where (1) - Job 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. Role overview: As a AI & Machine Learning Engineer, you'll … instrumental inthe design and development of machine learningprocesses in a variety of client environments. You will analyse client requirements and help generate suitable recommendations. You will help managethe ML lifecycle fromdata selection and collection, ML model design and creation all the way through tooperationalizationand monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and More ❯

Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team's MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key … processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and … results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master's level in a STEM or DS/ML/AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards More ❯

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in London, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver real time, mission critical insights for clients around the world. … ll tackle some of the most complex challenges in real time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence … built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to More ❯

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver real time, mission critical insights for clients around the world. … ll tackle some of the most complex challenges in real time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence … built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to More ❯

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver real time, mission critical insights for clients around the world. … ll tackle some of the most complex challenges in real time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence … built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to More ❯

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver real time, mission critical insights for clients around the world. … ll tackle some of the most complex challenges in real time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence … built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to More ❯

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver real time, mission critical insights for clients around the world. … ll tackle some of the most complex challenges in real time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence … built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to More ❯

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver real time, mission critical insights for clients around the world. … ll tackle some of the most complex challenges in real time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence … built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to More ❯

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial … A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem … for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art More ❯

the beginning of our journey - and we are 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' manual processes … analytical skills to understand customer 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. As part of this role, you … development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to More ❯

a Machine Learning Engineer to join our client's data team. This is a hands-on role where you'll design and build robust data pipelines, transform ML prototypes into production-ready systems, and champion MLOps best practices across the business. As a Machine Learning Engineer, you'll play a crucial role in ensuring our clients … making and user experiences for a vast audience. Your day-to-day will include: Building and maintaining end-to-end data pipelines and feature engineering workflows. Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML. Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance. Supporting the data … Clear career progression and opportunities to work with cutting-edge tech. Skills and Experience Degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience in data or ML engineering. Strong knowledge of Python and SQL. Hands-on experience with cloud platforms (GCP or Azure) and Databricks. Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML. More ❯

models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct … successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects … on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and More ❯

learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, LLMs and Deep Learning. Our Machine Learning Engineers are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, assisting the data scientists in designing and building models, and … you will work collaboratively with Data Scientists, Software Engineers, Product and Engagement Managers on your designated project. You will not only work on the development and productionisation of sophisticated ML products, but also shape the future of our AI capabilities. You will have the opportunity to mentor junior team members, influence strategic decisions, and directly impact our customers' experiences. If … learning algorithms Support with customer PoVs and onboarding Understand business problems and product requirements and help translate these into technical solutions Execute and deliver full AI/ML solutions from sourcing training data, design and implementing state-of-the-art machine learning models, testing, benchmark and product-driven research for model performance improvement, to shipping stable 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 ❯

Job Description Summary In this role, you will understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs in neuroscience, discover actionable insights and automate process for reducing effort and time for repeated use. Moreover, you will manage the implementation and …/or AI analyses and algorithms, to facilitate internal decision making, support submissions of candidate drug and research collaborations. You will provide technical expertise in data science and (predictive) machine learning/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making and research collaborations. You will perform … Desired Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling More ❯

Machine Learning Operations Engineer - Remote - £50-£70k + excellent benefits We're looking for a skilled Machine Learning Operations Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure that supports machine learning models in … a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting … to-end testing Writing pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and More ❯

Machine Learning Operations Engineer - Remote - 50- 70k + excellent benefits We're looking for a skilled Machine Learning Operations Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure that supports machine learning models in … a live environment. What you'll be doing as the Machine Learning Operations Engineer: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting … to-end testing Writing pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and 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 ❯