776 to 800 of 4,371 Machine Learning Jobs in the UK

. Oversee architecture management , driving continuous refinement and improvement of systems. Work with cutting-edge data technology stacks and cloud infrastructure, balancing foundational data solutions with emerging AI and ML capabilities . Collaborate with delivery teams and engineers to define project scopes and technical blueprints, facilitating smooth delivery of new functionalities in an agile environment . Assess system designs and More ❯

a sole UK national – SC clearance required Desirable extras: Experience with high-assurance or safety-critical software Exposure to GDS digital service standards Familiarity with big data, ETL, or ML/AI pipelines Background in energy, defence, embedded or industrial software a bonus Why this role? You’ll have real influence on how key infrastructure software is built and delivered More ❯

Job Details We are seeking skilled and innovative individuals to join our dynamic team. This role is ideal for those with a strong foundation in machine learning (ML) and programming, coupled with an innate curiosity and drive to tackle complex challenges. Reporting to the Head of AI Lab, you will be responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You will collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or … MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus Skilled in object-oriented programming using Python Familiar with PyTorch or other machine More ❯

architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

in Business, Product Management, Computer Science, or a related field. Set Yourself Apart With Experience in leading large-scale digital transformation initiatives. Knowledge of cloud-based platforms, AI/ML integration, or emerging technology trends. Thought leadership in product management and innovation. Additional Information Publicis Sapient UK is a disability confident employer and is dedicated to fostering an inclusive and More ❯

architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

our analytical capabilities and contribute to the exciting field of cyber catastrophe modelling. Key Responsibilities: Model Development: Contribute to model testing, diagnostics, and release workflows by creating best-practise ML and testing frameworks. Cross-functional Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing More ❯

our analytical capabilities and contribute to the exciting field of cyber catastrophe modelling. Key Responsibilities: Model Development: Contribute to model testing, diagnostics, and release workflows by creating best-practise ML and testing frameworks. Cross-functional Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing More ❯

pipelines and infrastructure. What you'll be responsible for: Design and implement modern, cloud-native data architecturesincluding data lakes, data warehouses, and data martsthat support advanced analytics, AI/ML, and business intelligence use cases. Oversee robust data ingestion and integration frameworks that ensure data consistency, accuracy, and timeliness across our global systems. Collaborate with business, product, and engineering teams More ❯

our analytical capabilities and contribute to the exciting field of cyber catastrophe modelling. Key Responsibilities: Model Development: Contribute to model testing, diagnostics, and release workflows by creating best-practise ML and testing frameworks. Cross-functional Collaboration: Work with diverse teams to integrate new data sources and methodologies into our proprietary cyber risk estimation system, Cybertooth. Research Contribution: Engage in ongoing More ❯

with asynchronous programming (e.g., asyncio, Celery). Exposure to message brokers like RabbitMQ, Kafka. Understanding of GraphQL, gRPC, or WebSockets. Previous experience in architecting data-intensive or AI/ML-based systems. Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our More ❯

and mentor some of the brightest minds and friendliest people in the industry! - You work with some of the best tech in the industry, such as AWS SageMaker for ML, DBT for data processing along with standard analytical tools like Python, Redshift, Tableau etc. - All our decisioning systems are built in-house, meaning that we have nearly unlimited flexibility in More ❯

mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving More ❯

mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving More ❯

and functional design principles, and best-practice design patterns Bachelor's or Master's degree in Computer Science or related field (or equivalent experience) Experience in applying AI/ML to solve customer problems would be a bonus Experience with Python3, Django, PostgreSQL, Redis, Rest APIs, or similar modern programming languages and frameworks. Knowledge of Linux systems, cloud infrastructure, networking More ❯

you can make a difference. Where no two days are the same. About the job you're considering We are seeking a highly motivated and experienced Senior AI/ML Developer to join our team at the forefront of designing cutting-edge solutions in the Telco industry. In this role, you will be responsible for the end-to-end design … development, and deployment of AI/ML models to solve complex problems and drive innovation. You will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML solutions. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it … Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your role • Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. • Perform feature engineering and selection to optimize model performance. • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning More ❯

Associate Machine Learning Scientist page is loaded Associate Machine Learning Scientist Apply remote type Partially Remote locations London, UK time type Full time posted on Posted 6 Days Ago job requisition id JR4784 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community … ceremonies (e.g. following the agile cadence, technical whiteboarding sessions, planning and product roadmapping) Report and present technical findings to technical and non-technical audiences Skills and Experience: Experience developing ML models to solve real-world problems, experience working as a Data Scientist or Machine Learning Scientist Proficiency in Python Solid understanding of machine learning concepts, familiarity … player with an ability to work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up to date with applied ML developments Bonus Points: Experience with pricing models, causal inference, or revenue optimisation Experience with NLP, image processing, information retrieval, and deep learning models Experience with experiment design and conducting More ❯

Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Data Engineer with a passion for solving challenging machine learning problems in a data-rich, complex and innovative environment. What does Thomson Reuters Labs do? We experiment, we build … long-term research for the future. As a Research Engineer, you will be part of a diverse global team of experts. We hire worldleading specialists in SWE/Applied ML, as well as Research, to drive the company's leading internal AI model development, fueled by an unprecedented wealth of data and powered by cutting-edge technical infrastructure. You will … non-technical legal subject matter experts. Experience with big data technologies such as Spark, Hadoop, or similar. Experience conducting world-leading research, e.g. by contributions to publications at leading ML venues. Previous experience working on large-scale data processing systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries. What's More ❯

time image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative … and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work on … some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems. Minimum Qualifications Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep learning More ❯

time image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative … and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work on … some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems. Minimum Qualifications Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. Strong expertise in deep learning More ❯

an environment you'd love to work in, even if you only have some of the experience listed below, please apply. The Role We are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building and maintaining high performance and robust … data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical science automation. Responsibilities: Design and implement high-performance data processing infrastructure for large language model … Lila Sciences and write technical documentation for staff Qualifications: 3+ years of experience in software engineering, with a focus in data engineering or DevOps Demonstrated experience deploying and maintaining machine learning models in production Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred) Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred) Strong skills with Scripting languages More ❯

Delivery Consultant - AI/ML and Generative AI, Professional Services GCC 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 to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You … through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. Key job responsibilities Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services Collaborating … in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts Foundational knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets AWS More ❯

Job Title: Research Scientist - AI & ML BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology … in NLP, LLM applications, text-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. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting More ❯

experience in software development, with a focus on data structures and algorithms Minimum of 5 years of experience building and architecting large-scale, production-quality Machine Learning (ML) systems At least 5 years of experience in distributed development and large-scale data processing Proficiency in coding with C++ or Python Solid understanding of ML fundamentals, algorithms, and techniques … and frameworks, including policy gradient methods, Q-learning, and actor-critic architectures Experience leading high-performing research or engineering teams and fostering an inclusive culture Published research in ML/AI conferences or journals, demonstrating strong communication of complex technical concepts Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and optimizing agent behavior … NLP, UI, and mobile development. As a software engineer, you will work on critical projects with opportunities to switch teams and projects as our business evolves. The Domain Applied ML team within Core ML accelerates ML/AI adoption across Google by developing efficient solutions in areas like parameter tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML More ❯