26 to 50 of 3,708 Machine Learning Jobs in England

Machine Learning Manager manages the work efforts of Machine Learning Scientists and is accountable for the performance and results of their staff. They oversee highly complex projects that have significant impact on the organization, consult on complex issues, and contribute key ideas. They are a spokesperson … and advocate on relevant machine learning topics to both internal and external audiences and stakeholders. They contribute directly to the features and capabilities deployed in our applications and are responsible for advanced project delivery, execution, and support. They work closely with cross-functional business units, software engineering, and … econometric/probabilistic relationships across the big data stack, and with product and marketing teams to understand client goals and turn research into products. Machine Learning Managers provide guidance to their staff within the latitude of established company policies, receiving assignments in the form of objectives and determining More ❯

delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning … Science, with a specialization in machine learning or equivalent experience. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data, and ideally also unstructured data. Industry work experience in designing and implementing large-scale machine learning-based solutions that … DL training/Inference. Experience with reducing model serving latency, memory footprint. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender More ❯

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you More ❯

strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions … that utilize customer data to generate value for the business. This role at other companies may be referred to as a Machine Learning Engineer or Data Scientist. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out … to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to More ❯

techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded … in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to … run experiments based on these algorithms. ML Engineers at Deliveroo report into our Science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for More ❯

work with: Reporting to the Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're … proactive problem-solver with a passion for machine learning, we'd love to meet you. The impact you'll have: As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You … algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance efficient machine learning pipelines, ensuring their scalability and performance. Collaboration & Cross-functional Integration: Work closely More ❯

Cure Talent is excited to partner with TympaHealth, a rapidly growing medical technology company that is transforming hearing healthcare. We are seeking a Machine Learning Engineer/AI Engineer to join their talented team, working on cutting-edge machine learning models for image and audio analysis. … The successful Machine Learning Engineer/AI Engineer will play a crucial role in developing, deploying, and optimising AI-driven insights to enhance business processes and support data-driven decision-making. This is a hands-on position where you'll collaborate closely with cross-functional teams to integrate … machine learning models into real-world applications. Key Responsibilities: Develop AI models for classification, segmentation, and processing of image and audio data. Optimise machine learning models to ensure peak performance. Work closely with software development teams to integrate AI models into applications. Collect, clean, and manipulate More ❯

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you More ❯

Job Description: Arm's Machine Learning Group is seeking highly motivated and creative Software Engineers to join the Cambridge-based ML Content, Algorithms and Tools team! This Machine Learning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large … optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities: Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm … Tensorflow Lite • Experience of developing and maintaining CI/testing components to improve automation of model analysis • Good knowledge of Python for working with ML frameworks • Good knowledge of C++ for working with optimised ML libraries • Previous experience of machine learning projects • Experience with deployment optimizations on machine More ❯

DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's … many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Summary: As platform engineers, we are … building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more More ❯

pipelines, transforming experimental models into scalable, production-ready systems while closely collaborating with the Product Design and Engineering (PDE) team to create impactful ML-driven products in the healthcare setting. In addition to optimizing infrastructure, automating workflows, and ensuring seamless integration from model development to deployment, you will play … mission of saving lives. Key Responsibilities: Ownership of Machine Learning Infrastructure: Develop, deploy, and maintain scalable pipelines for both Circadia's proprietary ML models and off-the-shelf solutions. Optimize model training and inference workflows to handle large-scale, real-time data efficiently. Design robust model monitoring systems … to track performance, detect drift, and ensure reliability. Implement infrastructure to support the experimentation and productionization of ML models cost-effectively in AWS and Snowflake. Building and Deploying ML-Driven Products: Collaborate closely with the Product Design and Engineering (PDE) team to design, build, and iterate on ML-powered products. More ❯

solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Clinical Development team is responsible for creating AI/ML applications to support the development of GSK's assets (Pharma and Vaccine), from early to … to be transformative in drug development, empowering us to find new life saving medicines. We are looking for a Senior Director of AI/ML Engineering - Foundation Models in Medical Imaging. This is a technical management track role with responsibility for building out a team in this domain. The candidate … important will be excellent communication, interpersonal and organizational skills, and the ability to represent and transmit the values and principles of our AI/ML team. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and More ❯

The Role As a Machine Learning Engineer for the Alerts team, you'll be at the intersection of cutting-edge AI/ML technologies and real-time data processing. You'll work on developing and optimizing anomaly detection algorithms that power our highly scalable stream processing platform. What … You'll Do You'll collaborate with a team of skilled engineers to design, implement, and maintain large-scale AI/ML pipelines for real-time anomaly detection. You will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models, to detect anomalies across billions of events. You'll design and implement sophisticated anomaly detection algorithms, such as Isolation Forests, LSTM-based models, and Variational Autoencoders, tailored to our unique data streams. Creating robust evaluation frameworks and metrics to assess the More ❯

the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance … Build Pipelines: Develop and maintain data and model pipelines, integrating seamlessly with our existing systems to support reliable, efficient workflows. CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models. Model Monitoring: Help monitor the performance of … in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine More ❯

techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Machine Learning (ML) Engineers work in cross-functional teams of engineers, data scientists, and product managers to build the algorithmic products that power the company. We are embedded … in product teams, close to the business problems and go after some of the hardest problems. ML Engineers translate a fuzzy business problem to a concrete pipeline that we design and implement. We then work closely with the engineers to deploy our models to production and with data scientists to … run experiments based on these algorithms. ML Engineers at Deliveroo report into our Science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for More ❯

causaLens is the pioneer of Causal AI - a giant leap in machine intelligence. We are on a mission to build truly intelligent machines , machines that truly understand cause and effect- it's hard but super fun! If you want to build the future and are looking for a place … our website homepage and watch the 'Why Causal AI' video to learn more. The Role We are seeking a motivated and high-achieving Lead Machine Learning Engineer to join our Product team in London. In this leadership role, you will spearhead the development of our Causal AI platform … a plus). Experience in developing Large Language Models (LLMs) is advantageous. In-depth understanding of computer architecture and its implications on AI/ML performance. Comprehensive knowledge of the software development life cycle, including best practices in version control, testing, and deployment. Proven ability to lead and mentor teams More ❯

this role, your primary focus will be on combining strong software engineering principles with machine learning expertise to build robust, production-grade ML platforms and pipelines to support the delivery of advanced analytics and machine learning models for our eCommerce partners as a part of Amazon … s new generation of Paid Services. You will work directly with Applied Scientists to productionize ML models, Software Development Engineers to build scalable infrastructure, Data/BI Engineers to implement scalable ML-ready data pipelines, and Product Managers to drive the roadmap and vision for Paid Services. As a member … future capabilities. This position is ideal for candidates with a strong background in software engineering and machine learning systems, demonstrated experience in ML lifecycle management and infrastructure development, and a passion for building scalable ML solutions that drive tangible business impact through our vendor partnerships. Key job responsibilities More ❯

Job Title: Machine Learning Research Scientist Location: Cambridge/Hybrid Salary: £depending on experience + benefits Company Overview: Our client is a pioneering machine learning and artificial intelligence software house, renowned for developing some of the most advanced technologies in the AI domain. The team is … of mathematicians, engineers, and is led by experienced entrepreneurs known for creating award-winning tech companies. Job Description: We are seeking a highly skilled Machine Learning Research Scientist to join our innovative team. The ideal candidate will have a PhD in a mathematical, scientific, engineering, or computing subject … strictest confidence, and we will always speak to you before discussing your CV with any potential employer. Keywords: PhD, AI, Cambridge, Adecco, LLM, NLP, ML More ❯

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and … to discuss this further throughout the interview process. The Role In this role, you will work at the cutting edge of power systems and machine learning within a dedicated, impactful team of engineers and scientists at Google DeepMind. You will be instrumental in developing and deploying innovative AI … entire lifecycle of our projects, from foundational modeling of power system components and data generation to the implementation, testing, and real-world deployment of machine learning models. Key responsibilities: Develop and maintain accurate computational models of electrical power grid components (e.g., transmission lines, transformers, generators, switches) and their More ❯

Learning Engineer | £50-70K | Hybrid (London) Our growing team is seeking an experienced Machine Learning Engineer to develop and deploy ML solutions that power our products. The Role: As a Machine Learning Engineer, you'll be responsible for designing, building, and deploying machine learning models and systems in production. You'll work at the intersection of data science and software engineering, translating ML algorithms into scalable production systems on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS … Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous improvement of ML practices and infrastructure Requirements: 2-3 years of experience in machine learning engineering or related roles More ❯

solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Clinical Development team is responsible for creating AI/ML applications to support the development of GSK's assets (Pharma and Vaccine), from early to … to be transformative in drug development, empowering us to find new life saving medicines. We are looking for a Senior Director of AI/ML Engineering - Foundation Models in Medical Imaging. This is a technical management track role with responsibility for building out a team in this domain. The candidate … important will be excellent communication, interpersonal and organizational skills, and the ability to represent and transmit the values and principles of our AI/ML team. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and More ❯

We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join this team in London. This role offers a unique opportunity to engage in cutting-edge research while applying your engineering expertise to … develop and deploy machine learning solutions. Key Responsibilities: Conduct and publish advanced machine learning research. Design, develop, and deploy scalable ML models with cross-functional teams. Lead implementation of ML algorithms, ensuring code quality and optimization. Oversee the ML lifecycle from data collection to deployment. Stay … informed on ML advancements to drive team innovation. Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Proven experience in conducting research and publishing in top-tier journals or conferences. Strong programming skills in languages such as Python, C++, or Java More ❯

We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join this team in London. This role offers a unique opportunity to engage in cutting-edge research while applying your engineering expertise to … develop and deploy machine learning solutions. Key Responsibilities: Conduct and publish advanced machine learning research. Design, develop, and deploy scalable ML models with cross-functional teams. Lead implementation of ML algorithms, ensuring code quality and optimization. Oversee the ML lifecycle from data collection to deployment. Stay … informed on ML advancements to drive team innovation. Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Proven experience in conducting research and publishing in top-tier journals or conferences. Strong programming skills in languages such as Python, C++, or Java More ❯

mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯

mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯