251 to 275 of 1,861 Machine Learning Jobs in the UK

Machine Learning Engineer, Prime Video Commerce Science Tech Job ID: Amazon Development Centre (London) Limited Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the world's leading digital video services, and we're just … exclusive service of Amazon's Prime Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights. Do you like inventing, growing and learning from world-class engineers and scientists? If so, we want to hear from you! This a hybrid applied science and engineering team that is developing bleeding edge AI solutions … automate workflows and innovate on behalf of our studios customers. This requires the use of the latest technologies across foundational models, transformer based architectures, image processing, image analysis, and machine learning. We need to optimise those algorithms to run accurately and efficiently. The scope of our charter means we're also utilising techniques such as contextual understanding and correction More ❯

Software Engineers and product teams to integrate AI solutions into productions systems, as well as: Design, develop, and implement AI models and algorithms for various applications. Optimize and scale machine learning models for performance and efficiency. Conduct research and stay up-to-date with the latest advancements in AI and machine learning. Analyse large datasets to extract … and the ability to coordinate initiatives to ensure the timely delivery of AI-driven projects, as well as: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field (desirable). Strong understanding of data structures, algorithms, and software engineering principles. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Familiarity … with AI, machine learning, or blockchain technologies. Excellent communication, and problem-solving skills. Understanding of cloud technologies, security principles, and modern development tools. Experience working with cross-functional teams. Familiarity with Agile development methodologies and DevOps practices, and Proficiency in programming languages such as Python, Java, or C++ would be beneficial. Knowledge of Azure Dev Ops and Power More ❯

identify new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies. What you'll be doing Develop and implement machine learning products in the cloud that improve client experiences and boosts colleague productivity in real-time. Continuously monitor, retrain, and optimise existing models to ensure optimal performance. Partner … intelligently and effectively. About you You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machine learning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering … in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. More ❯

bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. The Role As a Senior ML Software Engineer in the DH Team, you will focus on building and scaling the platform-facing product that manages the full lifecycle of Aqemia's predictive models, our core scientific … assets. You'll scale and industrialize ML/deep learning models developed by research scientists, so they can be efficiently served to our Drug Hunter community. You will play a critical role in the development, deployment, and maintenance of single predictors, ensuring they are robust, reproducible, and seamlessly integrated into the platform that drives our drug discovery engine. This … role is deeply technical and foundational to our platform's performance, reliability, and scalability. What you'll do Design and implement ML product and infrastructure to support the training, evaluation, deployment, and versioning of predictive modelsIndustrialize and optimize ML/deep learning models developed by scientists, making them scalable and cost-efficient in production Collaborate closely with scientists to More ❯

innovation, and customer focus. We’re proud to be driving the future of data with cutting-edge technology and a passionate team. Overview: Ready to kickstart your career in machine learning and AI? Join Matillion as an AI Engineer Apprentice and gain hands-on experience building real AI solutions while learning on the job. You’ll be … where you’ll work on exciting projects, learn from experienced mentors, and grow your skills in a fast-paced tech environment. This apprenticeship offers a unique opportunity to combine learning with real-world experience in one of the most in-demand areas of tech. Responsibilities: Design, prototype, and test machine learning models. Run experiments to improve performance … Stay up to date with AI trends and contribute fresh ideas. Desirable skills: Some experience or knowledge in software, data, or tech-related fields. Python skills and interest in machine learning tools and frameworks. Curious about large language models (LLMs), prompt engineering, or AI evaluation. Any exposure to cloud tools or MLOps is a bonus. Eager to learn More ❯

We are looking for a Senior Software Engineer to lead the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution … implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability Build processes for extracting, cleaning and transforming data (SQL/Python) Optimize model parameters and architectures for maximum efficiency and accuracy … Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and machine learning Present findings to clients through written documentation, calls and presentations Be an example of software engineering best-practice e.g. Git/Docker/cloud deployment Contribute to proposals for exciting new data science opportunities Provide direction More ❯

to apply for the Senior Software Engineer role at Applied Data Science Partners We are looking for a Senior Software Engineer to lead the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a … implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability Build processes for extracting, cleaning and transforming data (SQL/Python) Optimize model parameters and architectures for maximum efficiency and accuracy … Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and machine learning Present findings to clients through written documentation, calls and presentations Be an example of software engineering best-practice e.g. Git/Docker/cloud deployment Contribute to proposals for exciting new data science opportunities Provide direction More ❯

complex geospatial data, and offers real-time or near-real-time insights. You will have the opportunity to work on cutting-edge technologies, including distributed computing, cloud infrastructure, and machine learning, to deliver a world-class platform that powers critical data-driven applications. Key Responsibilities: Platform Development & Optimization: Design, develop, and optimize the core software platform to handle … on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights to end-users. Optimize data flows and streaming … Azure, GCP) for big data processing and platform deployment. Strong knowledge of data warehousing, data lakes, and data pipeline design for large-scale data integration and storage. Familiarity with machine learning and AI techniques for data analytics (e.g., classification, regression, clustering, anomaly detection). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying scalable applications. Geospatial More ❯

Lead Data Scientist – Machine Learning – Consultancy Location: Remote options Salary: Up to £100,000 Type: Permanent THE COMPANY This established consultancy works across sectors like retail, sports, media, and customer analytics—delivering end-to-end machine learning and … AI solutions. From building recommendation engines to developing predictive analytics at scale, they help top-tier clients unlock value through data. With continued growth, they’re hiring an experienced ML-focused Lead Data Scientist to join their team. THE ROLE As a Lead Data Scientist, you’ll remain hands-on while owning the delivery of end-to-end ML projects … project teams Engage stakeholders and present key findings and ROI YOUR SKILLS AND EXPERIENCE Strong Data Science experience, ideally in a consultancy or client-facing role Strong Python and ML experience; built and deployed models from scratch Skilled in predictive analytics and commercial applications Excellent communication skills with a strategic mindset Bonus: experience in customer analytics or personalisation BENEFITS Up More ❯

at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate … across the business to deliver best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems … We’re Looking For Proficiency in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯

at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with rich datasets, deploy advanced machine learning techniques, and collaborate … across the business to deliver best-in-market solutions. This is a hands-on role in a team that self-serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems … We’re Looking For Proficiency in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to work effectively within a team. Self-driven, with a proactive approach to leading projects and initiatives. Nice to Have Interest in More ❯

marketing applications Analyse large multi-modal datasets to extract insights and features that can be used by downstream AI models. Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. Stay abreast of the latest trends in AI research and integrate them into our products and services Communicate … technical challenges and solutions to non-technical stakeholders and team members. What we want from you: Experience in machine learning, with a strong knowledge of algorithms and principles. Proven track record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for More ❯

Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management. Experience in Machine Learning Infrastructure. Preferred qualifications: 8 years of experience managing cross-functional or cross-team projects. Experience in launching Machine Learning or Artificial Intelligence products from research to production. Ability to effectively operate in … of high velocity launches at scale. Thrive in a fast-paced, innovative environment where your technical expertise and program management skills will directly impact Google's AI strategy. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google More ❯

forums Guide and mentor other data scientists, ensuring consistency, quality, and alignment across experimentation work Represent experimentation at the strategic level, advocating for rigorous methods that drive long-term learning and impact Create reusable documentation, tooling, and training materials to elevate experimentation maturity across the organisation What Were Looking For Significant experience in data science and experimentation, ideally within … ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago London, England, United Kingdom 2 months ago Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 2 months ago London, England, United Kingdom 1 week ago Data Science Manager - UK Remote Working London … weeks ago London, England, United Kingdom 15 hours ago London, England, United Kingdom 1 week ago London, England, United Kingdom 4 days ago Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 2 days ago London, England, United Kingdom 1 week ago Quantitative Researcher - Machine Learning London, England, United Kingdom 1 week ago More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer … for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Lead Data Engineer candidates More ❯

Manchester. Overview The Lead AI Developer will be responsible for leading the design, development, and deployment of advanced AI solutions. This role demands deep technical expertise in AI and machine learning paired with strong leadership skills to guide and mentor development teams. The successful candidate will manage AI projects end-to-end ,from architecture through to production, ensuring … deployment, continuous monitoring, and lifecycle. Drive innovation by researching and integrating emerging AI technologies, frameworks, and best practices. Required Skills and Qualifications Minimum 6+ years' experience in AI development, machine learning engineering, or closely related fields. Proven track record of leading AI projects through all phases, including design, development, and production deployment. Proficiency with machine learning More ❯

Location: Central London 1 day per week in the office We are currently recruiting a Machine Learning Engineer to join a global publishing company. Producing high-quality educational resources, they are publishing impactful research that has the power to improve society and empower policy makers. The Opportunity This is an … opportunity to join an organisation with people who are passionate about data and its ability to empower and improve lives. Work with cross-functional teams to deliver production level ML/AI solutions. Implement MLOps with a focus on versioning and data security. Champion Machine Learning across the business. Mentor junior members of the team. Profit share bonus. More ❯

pricing strategy and drive commercial performance through automation and data-led insight. You’ll work closely with stakeholders across Commercial, Revenue Management, and Data Engineering to develop statistical and machine learning models that optimise pricing decisions and operational efficiency. This is a high-impact role where your work will directly contribute to business growth, margin improvement, and the … re Looking For Essential: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science or related field Strong proficiency in Python, SQL Hands-on experience with statistical analysis and machine learning Able to translate complex data challenges into practical business solutions Strong communication and stakeholder management skills Knowledge of revenue management principles in a commercial setting Familiar with … project management processes 2+ years of experience applying machine learning or statistical models in a commercial context Understanding of Snowflake, AWS, and Microsoft SharePoint Experience in hospitality, travel, or pricing optimisation sectors If this role looks of interest, apply here More ❯

on-road and off-road applications, utilising state-of-the-art robotics and AI algorithms. You will collaborate extensively across the company, working closely with other Planning teams (like Machine Learning and Trajectory Planning), upstream teams (such as Perception), and various other groups in a highly cross-functional environment. Your Team You will join our Planning Team, where … architecture and strategic direction of your team, and overall shape the development of the Oxa Driver. Promote a cross-functional development style and closely collaborate with routing, trajectory planning, machine learning, and other teams to achieve human-like, predictable, and safe AV driving behaviors. Drive the adoption of engineering and software development best practices in your team. Create … development skills, including modern C++ algorithm development and deployment in a production environment. Deep understanding of modern software engineering practices, including automated testing and CI. Understanding of AI/ML techniques for decision making and/or motion planning in the AV space. Extra kudos: A customer-obsessed mindset. We value people who relentlessly try to anticipate and prioritise the More ❯

across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Ready to shape the future of learning through (Gen)AI? Join us at BCG to pioneer AI-driven learning experiences that scale, personalize, and transform how our people grow. In today's rapidly evolving AI … landscape, the ability to design learning experiences that leverage the potential of (Gen)AI is more essential than ever. As a Global Learning Experience Design Manager, you will play a pivotal role in advancing how BCG designs and delivers impactful, AI-enabled learning-applying cutting-edge tools and techniques to elevate personalization, scalability, and effectiveness. You'll … apply AI tools and techniques to develop innovative learning solutions, automate design workflows, and prototype intelligent agents that personalize, scale, and streamline our learning offerings. Acting as a critical bridge between the L&D function and AI/product teams, you'll translate learner needs and business goals into practical, AI-driven applications that elevate learning effectiveness More ❯

a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯

a new Senior Data Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such … data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking … For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value More ❯

understand business problems, create a novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the main POC for major clients … combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight … from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than 3 months) and willing to do so More ❯