151 to 175 of 2,506 Machine Learning Jobs in England

If you're passionate about machine learning and data science and ready to lead a team building groundbreaking technology with real-world impact, this role offers a rare opportunity. An innovative software platform is seeking a seasoned leader to oversee its data science function. In this pivotal role, you'll guide both strategic direction and technical execution of … through predictive insights rooted in customer behaviour. You'll lead a talented team of data scientists, shaping a collaborative, high-performing group. Your focus will be driving innovation, scaling ML systems, and aligning technical efforts with business outcomes. You'll work with senior leadership and collaborate across departments to ensure machine learning delivers real, lasting value. This role … offers a blend of strategic influence and hands-on impact. You'll define how machine learning evolves while ensuring solutions are robust, scalable, and commercially relevant. From improving processes to evaluating new tools, you'll have the freedom and responsibility to set the pace. The ideal candidate has at least eight years of experience in machine learning More ❯

Job Overview Arm's Strategy & Ecosystems group is hiring in western Europe! Want to help show developers the ML capabilities of efficient, next-generation mobile devices? If so, we should talk! We are a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We design … and deliver machine learning software packages, tools, and reference workloads that help internal teams and partners explore and evaluate the capabilities of upcoming Arm-based platforms. These efforts support early validation, performance analysis, and enablement of advanced workloads targeting machine learning use cases. Responsibilities: We apply our deep software expertise and collaborative spirit to work directly … silicon environments. You will work closely with multi-functional teams to resolve functional bottlenecks and deliver optimized, production-ready solutions. You will be responsible for building proof-of-concept ML solutions that showcase and validate the capabilities of forthcoming silicon platforms, helping to drive early adoption and inform future product direction and helping them to bring their visions to bear. More ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … not provide visa sponsorship. 🚀 What You'll Do As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. You will work on the entire lifecycle of our models, from research and development to high-performance deployment. Key responsibilities include: Developing, training, and validating state-of … critical in advancing the capabilities of our models and supporting Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of professional experience in Machine Learning Engineering or a similar role. Deep expertise in Python and deep learning frameworks, with a strong preference for PyTorch. Proven experience with computer vision and a More ❯

whilst ensuring fair customer outcomes. The team of pricing, data science and analytics experts set prices that maximise the value generated through customer acquisition and retention by using advanced machine learning, statistical and optimisation techniques to model both customer behaviour and the dynamic, highly competitive UK price comparison market Hastings operates in. Data Scientists are critical members of … to enhance our price optimisation algorithms. Job details Querying our data warehouses to extract modelling data, create new features and analyse the performance of price optimisations and tests Building machine learning and statistical models to predict the market and customer behaviour, deploying them to enhance our pricing Using and developing our pricing algorithm to deliver new price optimisations … business, its value drivers and the data it generates Have a customer focus to both spot profit opportunities and do the right thing Think creatively to master and combine machine learning and statistical approaches Love sharing your ideas and storytelling to engage and enthuse our stakeholders Document your work and build pipelines to automate it Essential skills/ More ❯

Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292 My client, a cutting-edge start-up within the AgriTech space, is seeking a Bioinformatician with experience in designing and developing NGS pipelines for the analysis of non-model species to join their growing R&D team. This is an exceptional opportunity to work on breakthrough innovations that … datasets to identify key traits that can drive the development of high-performing, climate-resilient crops. You'll also have the opportunity to apply cutting-edge tools such as machine learning and AI and work collaboratively with experimental biologists to turn genomic insights into real-world agricultural impact. The Company This dynamic and well-funded Oxford University spin … experience Experience designing and developing NGS pipelines for the analysis of non-model species, if this has been within plants even better Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc. What Next? If you'd More ❯

a Knowledge Transfer Partnership (KTP) project with Fusion21 Ltd. The University of Manchester and Fusion21 Ltd are looking to recruit an individual with evidence of a strong grounding in Machine Learning and AI who will work alongside an MLOps Software Engineer (KTP Associate) to collaboratively deliver this 24-month project. The project aims to design and deliver a … disruptive technical innovation programme that embeds advanced Machine Learning, AI and software engineering techniques within the procurement process and supports the incorporation of a data-driven AI-enhanced business model and information management framework, supporting the company's strategic vision for digital transformation. Job reference: SAE-028736 Faculty/Organisational Unit: Science and Engineering Employment type: Fixed Term … include: The position will provide the successful candidate with a unique opportunity to work within a multi-disciplinary team of academics, industry practitioners and another KTP associate, and translate Machine Learning, AI, and Software Engineering techniques to deliver a robust Software/AI enabled solution. Candidates will require a PhD or a very strong Masters degree with relevant More ❯

At Longshot Systems we're building advanced platforms for sports betting analytics and trading. We're hiring Graduate Machine Learning Researchers for our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements … on our models directly impact company profitability. You will work closely with the CEO, CTO, and Team Lead to design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. Longshot is a small, focused company and so the role suits someone who wants to be involved in all aspects … have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of Machine Learning and core statistics is very important for this role. Knowledge of sports betting or horse racing, which this team focuses on, isn't required. We are a More ❯

build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design … functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer … be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We are excited to be hiring a new Data Scientist into our team! Lendable is … application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products. You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models. This role will primarily focus on our US unsecured loans and credit cards … business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement. How you'll impact those objectives Learn the domain More ❯

are a remote first company with headquarters in Stockholm and over 300 employees across Europe. About the Role We're looking for a Senior Recruiter who lives and breathes Machine Learning and AI hiring. This role is all about placing some of the sharpest minds in AI. The kind of people building foundational models, redefining computer vision, or … building robotics systems that push the limits of science and engineering. You'll support all hiring across our Machine Learning and AI orgs, working closely with our CTO, Functional Leads, and cross-functional leadership. Our teams are solving unique medical challenges at scale and we're only as good as the people we bring in to do that. … technical literacy, a network across the most prestigious AI orgs and a history of hiring people who've built first-of-its-kind systems. Responsibilities: Support hiring for our Machine Learning and AI orgs across Europe. Define and drive sourcing strategies targeting candidates in AI research, Computer Vision, Robotics, and Applied ML. Partner with senior leadership to define More ❯

Learning Engineer II to join the Private Label Solutions (PLS) Machine Learning Engineering. You will join a team that builds and maintains the infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for our ranking problems, recommendation engines, and pricing optimization systems. Your work will contribute substantial value to our partners and EG by … ensuring our ML models are efficiently deployed, scaled, and monitored in production environments. This role offers a unique opportunity to work on diverse challenges and contribute to cutting-edge solutions that drive significant impact for the business. You will gain expertise in ML infrastructure, data engineering, cloud computing, and scalable system design while working closely with our ML scientists to … infrastructure, who is passionate about building robust and scalable systems. You should be comfortable with ambiguity, enjoy tackling complex technical challenges, and have a keen interest in optimizing ML workflows. We welcome candidates who are strong problem solvers and passionate about building ML systems . E ven if you don't meet every single requirement listed below. If you More ❯

What You Will Do Design and implement scalable ML and deep learning models using PyTorch, TensorFlow, Scikit-learn, and other modern frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and … CUDA/Nvidia for performance optimization in training and inference. Collaborate with data engineers, software developers, and product teams to deliver AI/ML capabilities in production. Conduct rigorous model evaluations, A/B testing, error analysis, and performance tuning. Implement responsible AI principles and ensure model fairness, interpretability, and compliance. Explore and integrate open-source LLM models and fine … experience in machine learning, with at least 2 years focused on deep learning and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge of machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g. More ❯

We are looking for a Senior Machine Learning Engineer to join our Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse, extract and generate knowledge from complex biomedical data such as experimental protocols and from results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in … data. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in … a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment. You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies Work More ❯

West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a … opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with … for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning More ❯

sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant … launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling. You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker … write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators. You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and More ❯

significant impact on the business and are critical to the success of our partners, suppliers and Expedia Group. This role will be pivotal in developing and implementing cutting-edge ML solutions for personalized recommendations, learning to rank, and relevance optimization. The ideal candidate will combine strong technical skills with deep commercial acumen to drive substantial value for PLS and … our partners. In this role, you will: Lead development of advanced ML-powered recommender systems and relevance algorithms at scale. Architect end-to-end ML solutions for high-throughput, low-latency personalized recommendations across partner segments. Provide technical leadership and mentorship, fostering innovation and continuous learning. Collaborate cross-functionally to align ML solutions with business strategy and partner needs. Guide … a full-stack ML team, supporting technical growth and implementation. Conduct and present advanced analyses, ensuring models deliver business value and comply with legal and commercial standards. Experience and qualifications: You hold a Ph.D. (preferred) or Master s in Computer Science, ML, Mathematics/Statistics, or a related field. You have 5+ years of experience deploying large-scale recommender systems More ❯

eligibility highly desirable Work Pattern: Full-time (37 hours/week) | Hybrid | Flexible Interview Process: One-stage, face-to-face with technical presentation Are you an experienced AI/ML researcher with a passion for applying cutting-edge techniques to real-world, high-impact challenges? Do you thrive in intellectually rigorous, collaborative environments where your research leads to operational outcomes … of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high … trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and More ❯

eligibility highly desirable Work Pattern: Full-time (37 hours/week) | Hybrid | Flexible Interview Process: One-stage, face-to-face with technical presentation Are you an experienced AI/ML researcher with a passion for applying cutting-edge techniques to real-world, high-impact challenges? Do you thrive in intellectually rigorous, collaborative environments where your research leads to operational outcomes … of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high … trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and More ❯

a diverse and fast-growing team, developing your skills on a variety of innovative projects. We're looking for someone with a strong interest in Machine Learning (ML), Large Language Models (LLMs), and Artificial Intelligence (AI) more broadly to join our ML team. You don’t need to know everything from day one, but curiosity, a willingness to … prove yourself. There is significant scope to adapt the exact role to your skills and interests, but in the first instance you will spend time developing, evaluating and improving ML models to detect and classify items within footage from video, thermal, and other sensors, under the supervision and guidance of senior engineers. You’ll also be involved in deploying new … ML-based services into production environments. You’ll gain experience of a range of relevant technologies such as: Python for data science and ML Computer Vision, including OpenCV Model training, evaluation – accuracy, precision, recall, F1, dataset management Object detection, image classification, segmentation, depth estimation, anomaly detection Docker/containerisation. Personal Qualities and Experience You are someone who enjoys learning More ❯

Overview As a Member of Technical Staff - Machine Learning, AI Safety, you will develop and implement cutting-edge safety methodologies and mitigations for products served to millions of users through Copilot every day. Users rely on Copilot for support in various endeavors, making it critical to ensure our AI systems behave safely and align with organizational values. You … experimenting with data collection techniques, implementing safety orchestration methods and mitigations, and training content classifiers to support the Copilot experience. We're looking for outstanding individuals with experience in machine learning or machine learning infrastructure who are also strong communicators and great teammates. The right candidate takes the initiative and enjoys building trustworthy AI experiences and More ❯

that helps major retailers understand real-time shelf conditions and drive in-store execution. This hands-on, applied research role is ideal for early-career scientists passionate about building ML products from the ground up-empowering retailers to stay competitive and meet consumers' evolving needs. Job Description What You'll Do Design, train, and deploy deep learning models for … product recognition, shelf segmentation, and visual reasoning Evaluate and implement ideas from recent ML papers to solve practical challenges using retail image datasets Benchmark multiple approaches through rigorous experimental pipelines Build scalable inference pipelines using frameworks such as PyTorch, TensorRT, ONNX, and TensorFlow Lite (cloud and edge) Collaborate with engineers and product stakeholders to integrate models into end-to-end … vision Strong foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python and familiar with ML frameworks like PyTorch Familiarity with model optimization and inference acceleration tools (e.g., ONNX, TensorRT, OpenVINO, vLLM) Demonstrated ability to ship ML models in production settings, including performance monitoring and failure More ❯

technical architecture and product impact from the ground up. We're looking for a hands-on Machine Learning Engineer with deep expertise in building, optimising, and deploying ML systems - particularly in the areas of speech, LLMs, or multimodal learning. You will take cutting-edge research and turn it into production-ready models, enabling real-time, scalable, and reliable … multimodal datasets Collaborating with research scientists to refine model architectures and integrate the latest techniques into production Evaluating model performance with custom metrics and developing automated test frameworks for ML systems Contributing to MLOps tooling and infrastructure to support model lifecycle management and monitoring in production Working closely with product, research, and backend engineering to deliver seamless end-to-end … features What We're Looking For Strong engineering background with experience shipping ML systems to production Deep familiarity with speech technologies (ASR, TTS), LLMs, or multimodal machine learning Proficient in Python, with expertise in ML frameworks such as PyTorch Experience building scalable ML pipelines (training, validation, deployment, monitoring) Knowledge of Docker, Kubernetes, and ML deployment platforms Comfort reading More ❯

potential and the opportunity to change the way organisations operate. As we continue to grow, we're looking for a highly skilled and experienced Lead Machine Learning (ML) and artificial intelligence (AI) Engineer to drive the development and deployment of our advanced ML and AI learning solutions. In this pivotal role, you'll combine hands-on technical … leadership with strategic vision, to build innovative models and scalable infrastructure that tackle complex ecological and geospatial challenges. You'll be instrumental in shaping our ML and AI roadmap, directly contributing to helping organisations understand and manage their impact on nature. Key Responsibilities Hands-on technical leadership: Lead the design, development and deployment of end-to-end ML and AI … systems, from research and prototyping to productionisation and monitoring. Model development: Lead the development and implementation of advanced ML algorithms and models to solve complex ecological and geospatial problems. System design and architecture: Architect, build and maintain scalable, reliable, and efficient ML and AI pipelines and infrastructure. Mentorship: Provide technical guidance, project management,and mentorship to a team of ML More ❯

MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content. Key Responsibilities: Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of … machine learning models. Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines. Optimize ML models and workflows for real-time inference within 3D environments and XR platforms. Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models. Troubleshoot and … resolve performance bottlenecks related to ML inference and 3D rendering workloads. Develop monitoring solutions to track model performance and system health in production. Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements. Qualifications: Proven experience as an MLOps engineer or similar role with a focus on 3D applications Strong More ❯