1 to 25 of 1,769 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 ...

Junior Machine Learning Engineer £45,000 - £60,000 DOE | UK Remote About the Role We are looking for an ambitious Junior Machine Learning Engineer to join a highly technical team developing advanced computer vision and machine learning solutions. This is an excellent opportunity … alongside experienced engineers on projects spanning computer vision, object detection, tracking, synthetic data generation and AI deployment. You will gain exposure to the full machine learning lifecycle whilst contributing to solutions that operate in challenging real-world environments. Responsibilities Develop machine learning and computer vision solutions ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating ...

real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market‐first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation. You’ll join a culture that values technical excellence, ownership … challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high‐impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance. Role Purpose As a Principal Machine Learning ...

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 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 ...

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 ...

highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities. As a machine … objectives. Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Solving complex problems with multi-layered data sets, as well as optimizing existing machine ...

time with customers to understand the operational context behind the data. Contribute to the technical direction of the platform as one of the first ML hire. What we are looking for A degree in machine learning, computer science, engineering, physics, mathematics, applied mathematics, operations research or a closely … models in Python, ideally using PyTorch, JAX or similar frameworks. Experience with one or more of: scientific machine learning, physics-informed ML, time-series modelling, optimisation, simulation, forecasting or probabilistic modelling. Comfort working with messy real-world data, including missing values, drift, noise and inconsistent data quality. ...

Focus), you’ll act as the specialist technical authority within your discipline — helping shape the architecture, technical direction, and implementation strategy behind our ML‐driven products and platforms. You’ll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent … guide technical implementation across areas such as trajectory prediction, motion synthesis, real‐time data processing, 2D‐to‐3D geometry pipelines, and cloud‐hosted ML services. You’ll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You’ll fit right ...

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 ...

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 ...

large-scale multimodal datasets, including video, embeddings, and metadata, ensuring they are fast, reliable, and production-ready. The Role We're looking for experienced ML Systems Engineers to join our Research Services team and help build the infrastructure that powers machine learning across Flawless. This role is open … level and scope of responsibility will be determined based on your experience, technical depth, leadership impact, and track record of delivery. As an ML Systems Engineer, you'll work closely with scientists, machine learning engineers, and platform teams to design and build the systems that underpin model development ...

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 ...

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 ...

Machine Learning Research Engineer Salary: £49,170 - £63,915 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Permanent Hours: Full Time (35 hours per week) Overview Cambridge University Press & Assessment is a world‐leading academic publisher and assessment organisation and a proud part … University of Cambridge. The Applied AI team works on AI‐powered learning solutions that enhance Cambridge English products and services. Responsibilities Develop, deploy, and maintain scalable AI‐powered solutions for Cambridge English products. Optimize and modularise models for reusability and performance. Collaborate with product, validation, and business teams ...

Machine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation this Machine Learning Engineer will work within a R&D team collaborating with industry partners to turn … would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Machine Learning Engineer ...

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 ...

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 ...

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 ...

sources. Engineer datasets, develop data pipelines, perform feature engineering, and write code to train, deploy, monitor, and run real‐time inferences. Build and monitor ML models, addressing issues such as overfitting, underfitting, data leakage, and drift. You will use your expertise in engineering and DevOps/MLOps to manage … these areas isn’t required, familiarity with as many as possible will be advantageous. Cloud and Infrastructure Infrastructure as Code: Amazon CDK ML Platform: Amazon SageMaker (SagemakerStudio IDE, SagemakerTraining/Processing/Pipeline/Endpoints, Feature Store, Model Registry, Model Monitor) Data Processing: Amazon Athena, Apache Iceberg, AWS Glue, Spark ...

Define and design machine learning solutions using AI tools, managed services, and intelligent platforms without requiring direct model coding. Identify business problems, operational challenges, and strategic objectives, mapping them to appropriate AI and machine learning use cases. Utilize pre-built AI models, AutoML solutions … code/low-code platforms to develop effective and scalable machine learning applications. Evaluate model outputs, prediction accuracy, and overall performance using dashboards, reports, and AI monitoring metrics. Collaborate with data scientists, engineers, business analysts, and stakeholders to guide machine learning development and deployment initiatives. Select ...

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. ...