201 to 225 of 3,680 Machine Learning Jobs in England

and you'll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Machine Learning Engineer II to join our product area of hardworking engineers that are passionate about connecting new and emerging creators with users via … state-of-the-art ML. What You'll Do Contribute to designing, building, evaluating, shipping, and refining Spotify's personalization products by hands-on ML development. Collaborate with a cross-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance … ways. Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users. Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization. Be part of an active group of machine learning More ❯

As a Data Scientist, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency. You will leverage your expertise in Machine Learning, Natural Language Processing (NLP), and … technology with practical business applications, requiring someone passionate about transforming the way we interact with technology while delivering measurable impact through advanced analytics and machine learning solutions. You will need to collaborate effectively with business and product leaders within ISS and cross-functional teams to build scalable solutions … their performance experience. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS Experience in Python, Perl, or another scripting language. Experience in a ML or data scientist role with a large technology company. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have More ❯

is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top … our customers. The Role As a Junior Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers … with a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams. Data Quality Optimization - Ensure the highest standards of data quality by designing More ❯

is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top … by our customers. The Role As a Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers … with a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams. Data Quality Optimization - Ensure the highest standards of data quality by designing More ❯

reimagine themselves by becoming advocates and champions for their Customers. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and … to present results to a variety of internal stakeholders. What we expect from you Master's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. A PhD in any of these fields is especially beneficial. Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL. More ❯

leverage data-driven techniques to generate insights that empower strategic decision-making, improve care delivery, and enhance workforce efficiency and resident outcomes. Specialising in machine learning and statistical analysis, you will be responsible for developing predictive models, delivering advanced analytics, and uncovering trends to shape the organisation's … care home operations. By designing and deploying machine learning models, conducting trend analysis, and developing predictive tools, you will forecast resident needs, workforce requirements, and financial outcomes. You will collaborate closely with data engineers, analysts, and operational teams to translate business challenges into data-driven solutions, presenting insights … experience to the role: You will need to have strong programming skills in languages like Python, R, or other statistical programming tools. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is essential to successfully build and deploy models. Additionally, you should have a solid More ❯

smart way to get away. About the team Our Data Science team comprises eight members, including four Senior Data Scientists, two Data Scientists, a Machine Learning Engineer and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack … that significantly enhance business performance Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting Extensive experience deploying ML models to production at scale with robust monitoring systems Advanced knowledge of SQL and data manipulation techniques Mastery of software engineering best practices including unit More ❯

Hybrid) Salary/Rate: £584 (inside IR35) Start Date: May Job Type: Contract Company Introduction You'll work with the client team to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and … the opportunity to present results to a variety of internal stakeholders. This is an initial 6 month contract. Job Responsibilities/Objectives Experience with machine learning techniques such as regularised regression, clustering, or tree-based ensembles, and the ability to implement them through libraries. Experience with programming, ideally … with modern data processing tools, e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, and Sci-kit learn, along with data visualisation technologies. Required Skills/Experience The ideal candidate will have More ❯

Machine Learning/Semantic Web - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you only apply if you are available to start … cognitive support. Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions for homes and businesses. Main Responsibilities: Develop and optimize machine learning models for disease prediction and early diagnosis. Process and analyze structured and unstructured health data - Implement deep learning for predictive healthcare … on AI-driven user personalization for visually impaired individuals. Develop AI-powered accessibility solutions. Ensure compliance with data privacy and ethical AI guidelines. Essential: Machine learning & deep learning - Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn. Strong skills in Python, experience with R or JavaScript is a plus. More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You'll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

Delivery Consultant - Application Developer, Data & Machine Learning, WWPS ProServe Job ID: Amazon Web Services, Inc. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth …/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models. PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional More ❯

joining a newly established Data Science & AI Centre of Excellence within our Digital Products team. We are looking for expertise in Python and Azure Machine Learning to develop data-driven solutions to address business challenges and create innovative digital products. The role is commercially focused and you will … offer hybrid working and the expectation is to be in office two days per week. How you'll make an impact Develop and implement machine learning models using Python and Azure Machine Learning. Migrate and operationalise models for flood, quake, climate, and hurricane predictions. Support the development … of our Cyber Technographic Insight Discovery Engine (TIDE). Utilise classical machine learning techniques to build explainable models. Contribute to our AI strategy and enhance internal data science capabilities. Collaborate with cross-functional teams to drive data-driven innovation. Write well-documented, tested, and readable code. Conduct data More ❯

tech company I am currently working with an established business within the SportsTech industry who are going through the next generation or cutting-edge ML transformation and need an experienced Staff Machine Learning Engineer to lead transformational AI/ML projects and define multi-year technical strategies in … collaboration with director-level leadership. This role requires high-level ownership and the ability to drive change within a team of 40+ ML engineers. The ideal candidate will lead business-critical AI/ML initiatives and be responsible for architecting scalable platforms and systems while mentoring teams and influencing company … to customers. Champion a collaborative, inclusive culture that promotes psychological safety, growth, and mentorship. Ideal Background & Skills Proven experience leading multi-team AI/ML or platform engineering initiatives. Deep expertise in ML, distributed systems, and cloud-based deployments. Strong architectural design skills, including build vs. buy decisions and technical More ❯

for a Machine Learning Engineer with strong data science roots and real-world deployment experience to help shape, optimise and scale our ML stack as we continue to grow. YuLife is an award-winning InsurTech company and an employee benefit provider. We're the world's first "lifestyle … machine learning engineering. You'll be working alongside our Lead Data Scientist and the wider data team to evolve and scale our ML infrastructure. You'll play a key role in building, deploying and optimising both real-time and batch ML models, ensuring they run smoothly and add … measurable value to our product and users. Day to day responsibilities include, but are not limited to: Designing, building, and deploying production-grade ML pipelines and services in Python Collaborating with data scientists and data engineers to productionise models and guide them through deployment best practices Improving the scalability, reliability More ❯

Amazon Pay Data and Analytics team is looking for an experienced Senior Applied Scientist with excellent ML/science technical skills. If you are a self-starter, someone who thrives in a fast-paced environment, with a passion for building scalable long-term solutions, then you are the right candidate … team. In this role, the candidate would work closely with tech teams and product/program across US, EU and JP to build scalable ML/science models. You will be responsible for driving innovation across a wide range of science initiatives, from natural language processing and conversational AI to … Our team achieves results through collaboration and clear goals. Key job responsibilities Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fast-paced, experimental environment Build AI/ML models to generate actionable insights for the business Create tools and solve challenges More ❯

relevant insights. Our ownership ranges from innovative idea inception through POC, to its implementation within customer facing products. Development includes working with cutting edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types … and meet the customer needs. Among our current challenges are building time series forecast engines, predictive models, enhance user's experience using AI/ML, big data text mining/analysis as well as statistical challenges and maintaining high algorithm performance and accuracy. We are looking for a talented and … PlanIQ Team. This includes research, new ideas, POCs and writing code to production at scale. Working together with the other team's data scientists, ML engineers, backend, and frontend developers. Your day will have a mixture of all domains: data pre-processing and post-processing, machine learning, deep More ❯

Month Contract (Somerset, Hybrid) 📍 Location: Commutable from Bristol (Somerset) - Hybrid ⏳ Contract: 12 Months 💰 Day Rate: Competitive - Inside IR35 🏢 Industry: Government Defence | Data | AI & Machine Learning 🔐 Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance . The Opportunity Our client, a leading Data … automation, and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machine learning , enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science within … desirable. Why Apply? 🚀 Impactful Role – Shape the AI & Data Science strategy for a major government SaaS client. 💡 Cutting-Edge AI – Work with Azure AI & ML technologies in a Microsoft enterprise environment. 🏡 Flexible Working – Hybrid role with a mix of remote and on-site work in Somerset. 📈 High-Profile Exposure – Work More ❯

Machine Learning Engineer (Medical & Drug Discovery) Oxford (2 days a week onsite) Competitive (Up to £85,000, DOE) Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges, this … research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning … and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity 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 ❯

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 ❯

your strengths and interests, you'll have the opportunity to move between them. Job responsibilities : Advise and lead development of tooling for AI/ML development and deployment. Lead deployment and maintenance of infrastructure, model monitoring and observability tools, providing an effective model development platform for data scientists and ML … engineers. Collaborate with machine learning model developers to bring ML models to production. Mentor and lead a team of engineers focused on deploying machine learning pipelines at scale. Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions. Influence across business … concepts and MLOps applied experience. Experience with machine learning engineering and operations in a large enterprise. Experience in building, evaluating and deploying ML models into production. Experience leading complex projects supporting system design, testing and operational stability. Demonstrated prior experience influencing across complex organizations and delivering value at More ❯