151 to 175 of 3,817 Machine Learning Jobs in England

DRW, you will be an integral member of a collaborative multi-asset trading team. You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI … and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role. Key Responsibilities … systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable More ❯

you’ll lead impactful projects using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. … business, aligning with quarterly team objectives. Collaborative Development : Work cross-functionally with product and engineering teams to deliver high-quality results through incremental improvements. ML Lifecycle Optimization : Enhance team capabilities across the entire ML lifecycle, including data annotation, model training, deployment, and monitoring. Location and Flexibility This role is open … Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS . Demonstrated success in building and maintaining production-scale AI/ML systems . A track record of collaborating with product teams to deliver user-impactful solutions. Preferred Qualifications Experience using AI/ML in the sports More ❯

you’ll lead impactful projects using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. … business, aligning with quarterly team objectives. Collaborative Development : Work cross-functionally with product and engineering teams to deliver high-quality results through incremental improvements. ML Lifecycle Optimization : Enhance team capabilities across the entire ML lifecycle, including data annotation, model training, deployment, and monitoring. Location and Flexibility This role is open … Proficiency with some of the following: Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, AWS . Demonstrated success in building and maintaining production-scale AI/ML systems . A track record of collaborating with product teams to deliver user-impactful solutions. Preferred Qualifications Experience using AI/ML in the sports More ❯

to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to … personalisation and user-level features across Cleo, taking the initiative to extend existing approaches to benefit new areas of the app and conversations. Supporting ML Engineers around problem framing, ML modelling, and evaluation Here are some examples, big and small, of the kinds of product feature work our ML Engineers … not recognise a transaction on first review? Created contextual intent classifiers to understand user conversations with Cleo, enabling tailored and accurate platform responses. Engineered ML models to identify and deliver relevant actions to users within Cleo, ensuring a seamless, context-aware conversational experience. Built models to evaluate risk in customer More ❯

to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to … personalisation and user-level features across Cleo, taking the initiative to extend existing approaches to benefit new areas of the app and conversations. Supporting ML Engineers around problem framing, ML modelling, and evaluation. Here are some examples, big and small, of the kinds of product feature work our ML Engineers … not recognise a transaction on first review? Created contextual intent classifiers to understand user conversations with Cleo, enabling tailored and accurate platform responses. Engineered ML models to identify and deliver relevant actions to users within Cleo, ensuring a seamless, context-aware conversational experience. Built models to evaluate risk in customer More ❯

What the Job Involves As a Machine Learning Scientist, your primary role would be to design and implement advanced machine learning techniques to analyze DNA and genetic data. Responsibilities: Analyze Genetic Data : Work with DNA and genetic information to uncover patterns and insights that could lead … data. Alternatively, expertise in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of … ML techniques with experimental data. More ❯

What the Job Involves As a Machine Learning Scientist, your primary role would be to design and implement advanced machine learning techniques to analyze DNA and genetic data. Responsibilities: Analyze Genetic Data : Work with DNA and genetic information to uncover patterns and insights that could lead … data. Alternatively, expertise in using transformers for biological data, such as DNA, protein, or evolutionary-scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of … ML techniques with experimental data. More ❯

Trainee Patent Attorney - AI, Machine Learning and Computer Science - UK based Cambridge, Bristol, London or Manchester Life as a trainee Patent Attorney means using your academic background in a stimulating and varied way. Working on innovations and inventions at the forefront of your scientific field. "Working with different … well." Lucy, Attorney At Mewburn Ellis we're collegial, supportive and progressive. With an industry-leading training programme and a rotation scheme that keeps learning fresh and insightful we ensure that you're set up to develop quickly and learn about the profession from a variety of partners from … found attorneys at Mewburn to be approachable and easy to get along with - they are really great people to learn from." Dan, Attorney AI, Machine Learning and Computer Science at Mewburn Ellis Exciting developments in AI and machine learning are driving disruptive innovation in all fields More ❯

on, experienced and seasoned Senior Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. You will drive ideas to products using paradigms such as … deep learning, semi-supervised learning, and dynamic learning. As a Senior Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial … Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on robotic platforms. Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap. Work with stakeholders across science, and operations teams More ❯

systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify experience through researching and developing ML technologies that power intelligent user experiences for long-term satisfaction. You will be part of an interdisciplinary team focusing on ensuring that the foundations of … Apply your scientific knowledge to analyze and collect data, perform analyses, conduct experiments and identify problems, as well as devise solutions through hands-on ML development. Work on practical applications such as recommendation, search, voice and language understanding, and areas related to music and talk audio. Work in collaboration with … or related. A solid understanding of machine learning and past research experience on recommender systems. Solid hands-on skills in implementing advanced ML algorithms, as well as sourcing, cleaning, analyzing and modeling of large-scale real data. You have a passion for making sense of user behavior, especially More ❯

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development … lifecycle, from data preprocessing to model deployment. Duties and Responsibilities Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques. Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation. … learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such as DevOps/Git. Soft Skills: Problem Solving: Strong analytical and problem-solving More ❯

perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos Altos Labs is seeking a Staff Machine Learning Engineer who can accelerate and optimize our … progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal frameworks, services, and expertise. It will involve close collaboration with computational scientists from a diverse range of disciplines … including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence. Responsibilities: Designing, building, and evaluating large-scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc. Motivated to build, deploy, and manage systems to accelerate large More ❯

90K We are looking for a skilled Sr. Data Scientist. We are seeking a Data Scientist with expertise in Databricks, SQL, cloud platforms, and machine learning to develop and implement advanced data models, algorithms, and solutions to complex business problems. This role requires proficiency in the Databricks ecosystem … Should have 5+ years of experience as a Data Scientist. Develop and implement data models and algorithms to solve complex business problems. Experience in machine learning models and algorithms using Databricks, Neo4j, Python, R, and big data technologies. Work with cloud platforms (AWS, Azure, Google Cloud) to design … recommendations. Develop clear and concise reports and visualizations to communicate findings to both technical and non-technical stakeholders. Stay current with emerging trends in machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science More ❯

90K We are looking for a skilled Sr. Data Scientist. We are seeking a Data Scientist with expertise in Databricks, SQL, cloud platforms, and machine learning to develop and implement advanced data models, algorithms, and solutions to complex business problems. This role requires proficiency in the Databricks ecosystem … Should have 5+ years of experience as a Data Scientist. Develop and implement data models and algorithms to solve complex business problems. Experience in machine learning models and algorithms using Databricks, Neo4j, Python, R, and big data technologies. Work with cloud platforms (AWS, Azure, Google Cloud) to design … recommendations. Develop clear and concise reports and visualizations to communicate findings to both technical and non-technical stakeholders. Stay current with emerging trends in machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science More ❯

s right at the top of our agenda. At the BBC we see data science as fundamental on that journey. We use data and machine learning to enrich our content and power personalised experiences for millions of audience members. We're looking for a Data Scientist to join … the Account & Identity team and help accelerate the value unlocked by our existing machine learning products as well as help the discipline grow into new opportunities in areas such as sign-in, verification and user engagement & lifecycle. Interview process One interview comprising the following sections: 15 minutes with … BBC audiences. We are looking for individuals who value both breadth and depth of knowledge. Data Scientists at the BBC are instrumental in developing machine learning products at BBC scale. You will do so as part of a highly cross-functional team, working together to overcome the challenges More ❯

knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at … inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video … job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s More ❯

knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at … inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video … job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s More ❯

role will engage with primary research. The post holder, working closely with external partners and members of the EU consortium, will focus on developing machine learning applications to investigate the implications of genetic variation within noncoding functional elements in relation to cardiovascular disorders. The successful candidate will be … External: EU consortium members, consortium project managers, collaborators, visitors to EI. Innovate UK, BBSRC officers, academic and industrial stakeholders. Main Activities & Responsibilities Percentage Apply machine learning developments to annotate functional non coding sequences, reconstruct regulatory networks, and prioritise variants - 40% Collaborate with colleagues within the Horizon NextGen consortium … languages: Python, Perl, R - Essential Excellent problem-solving skills with the ability to solve problems with numerous and complex variables - Essential Experience in applying machine learning solutions for genomics investigations - Essential Requirement: Experience using machine learning applications (e.g. convolutional neural networks, recurrent neural networks) - Essential Experience More ❯

education. To power these features PROSE has developed a powerful and flexible framework for program synthesis that leverages techniques from both logical reasoning and machine learning (including LLMs) and combines them in unique ways to synthesize programs automatically. This approach has been recognized with frequent papers at top … tier conferences and awards, including best paper and test-of-time awards. We invite machine learning researchers to apply for a full-time position on the PROSE team at Microsoft. The recent success of large language models (LLMs) creates an opportunity to take a qualitative step forward, to … interact with the broader academic community. Qualifications Required Qualifications Doctorate in Computer Science or relevant field OR equivalent experience. 2+ publications in top-tier machine learning or artificial intelligence (such as AAAI, NeurIPS, ICML, ICLR, EMNLP, ACL, and comparable). Experience in training transformer-based models, including data More ❯

or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we … innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming … and solutions to all levels of the organization PREFERRED QUALIFICATIONS - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet - Research publications in computer More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design … production environments, ensuring uptime and accuracy. Develop best practices around model versioning, testing, and governance. Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools. REQUIREMENTS: 4+ years of experience in machine learning engineering, with a strong focus on productionizing ML models … and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow). Proven track record of delivering ML More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design … production environments, ensuring uptime and accuracy. Develop best practices around model versioning, testing, and governance. Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools. REQUIREMENTS: 4+ years of experience in machine learning engineering, with a strong focus on productionizing ML models … and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow). Proven track record of delivering ML More ❯

Research Engineer: Graph Machine Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and … shopping assistance, to personal teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration … learning, with a focus on learning graph embeddings and link prediction problems. You have experience in training and tuning various graph ML algorithms including GNNs, Message Passing and Graph Transformers. Experience in building graph-based recommendation systems is a plus. You have 5+ years of programming experience More ❯

experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool use, etc.) Data-centric Machine Learning … a Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish … mentor, lead and help direct reports grow and contribute to the wider group. Innovate : You will innovate and create new state-of-the-art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges More ❯

Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital … platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse … and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps More ❯