251 to 275 of 1,452 Machine Learning Jobs in London

cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with … our nature to learn and 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising More ❯

innovation. We're looking for a curious, ambitious graduate to join our growing data team. Whether your interest lies in analysing audience behaviour, building pipelines, or uncovering patterns with machine learning, this role is designed to offer a foundation across key areas of marketing analytics, insights, and data engineering. Key Responsibilities: Analyse marketing, media, or audience datasets to More ❯

team: Applied Intelligence, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe … do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces.Join Accenture to work at the heart of change. Visit us More ❯

years of experience, or equivalent. Experience leading smaller projects or phases of larger initiatives. Familiarity with data governance and data quality best practices. Experience with advanced analytics and machine learning techniques. Strong analytics skillset, including experience working with analytical teams, interpreting business KPIs, and enabling data-driven insights. Yum! Brands Culture At Yum! Brands, we believe in the More ❯

BDD, Performance/Load testing etc. DevOps experience - CI/CD, Test Automation, Containerization - tools and processes Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platforms with either Java/J2EE or .NET tech stack and database technologies such More ❯

delivery of applications and services. Have technical expertise in one or more of the following technology areas: NoSQL, such as DocumentDB/MongoDB RDF Graph database such as GraphDB ML/AI such as Sagemaker/Bedrock Search technologies such as SOLR or Opensearch/ElasticSearch Data pipeline engineering utilising cloud-based technologies (AWS) Write high quality clean, testable code … led by Phil Smith ( Phil Smith LinkedIn ). Given the complexity of our data and Tradecraft processes we use a broad range of specialist technologies and approaches including AI, ML, graph and document databases, search platforms, serverlesstechnologies and event processing platforms, customer portals, visualisation platforms, Geospatial systems as well as general purpose AWS platform capabilities. Our world suits those who … Vitality Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay) Paternity (100% of basic salary for 6 weeks) Life cover Access to LinkedIn Learning Access to an on-site gym (only in Croydon) Life at Janes We believe Janes is truly a great place to work. Our values and leadership code drive everything More ❯

Language Models (LLMs) with advanced Computer-Aided Design (CAD) systems to transform how Amazon's engineering teams work worldwide. We leverage AWS cloud computing and state-of-the-art machine learning technologies to create scalable, intelligent tools that accelerate product development, automate complex design processes, and enable unprecedented engineering collaboration across Amazon's diverse product portfolio. If you More ❯

s primary focus. We have built a world class Software engineering team which is focused on solving some of the complex problems in worldwide Transportation using workflows, optimization algorithms, machine learning systems etc. These are large scale distributed systems handling millions of packages being shipped through our network What will you do? As a leader, you will implement More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

ll be solving Nice to haves Experience working on routing, scheduling, or network optimisation problems Experience developing your own algorithms or heuristics Experience working with Geospatial data Experience with Machine learning or other modelling techniques Experience in fast-scaling startups or operational teams Experience in logistics, mobility, marketplaces, or other operationally complex businesses What we offer Generous equity More ❯

Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/or machine learning techniques. - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Experience using very large datasets - Strong Analytical skills - has ability to More ❯

CD tools like Jenkins, Git, Docker, or TeamCity Experience in Agile/Scrum environments Background in advertising technology or travel tech is a plus Interest in or exposure to machine learning applications Bachelor's degree in Computer Science or a related field 5+ years as a software engineer, preferably in e-commerce, ideally in fast-paced, global environments More ❯

potential! To get a sneak peek into our culture, find us on In this role, you will be responsible for planning and overseeing the Data Services Data Engineering and Machine Learning teams engaged in enterprise-wide data projects to ensure they are completed in a timely fashion and within budget. You will plan and designate project resources, monitor More ❯

that helps major retailers understand real-time shelf conditions and drive in-store execution. This hands-on, applied research role is ideal for early-career scientists passionate about building ML products from the ground up-empowering retailers to stay competitive and meet consumers' evolving needs. Job Description What You'll Do Design, train, and deploy deep learning models for … product recognition, shelf segmentation, and visual reasoning Evaluate and implement ideas from recent ML papers to solve practical challenges using retail image datasets Benchmark multiple approaches through rigorous experimental pipelines Build scalable inference pipelines using frameworks such as PyTorch, TensorRT, ONNX, and TensorFlow Lite (cloud and edge) Collaborate with engineers and product stakeholders to integrate models into end-to-end … vision Strong foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python and familiar with ML frameworks like PyTorch Familiarity with model optimization and inference acceleration tools (e.g., ONNX, TensorRT, OpenVINO, vLLM) Demonstrated ability to ship ML models in production settings, including performance monitoring and failure More ❯

level skills in software and Infrastructure as Code (IaC) engineering, gained through hands-on development experience. Key areas of proficiency include: Programming Languages: Python, Java and Go. AI/ML: prompt engineering, LLMs, RAG, Semantic Search, Vector Databases, etc Behavior-Driven Development (BDD) Testing: Cucumber, JBehave, Pytest-BDD, etc. CI/CD (Continuous Integration/Continuous Delivery) pipelines : Harness, Tekton … annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their More ❯

mentor at least one Machine Learning Engineer (MLE), and collaborate closely with machine learning engineers, backend engineers, and product managers to develop scalable, high-performing ML solutions that elevate the customer journey. You'll combine technical brilliance with strong commercial acumen and understanding ofproduct needs, with pragmatic scalable and robust solutions at the core of your … deliver industry standard data quality. Collaborate cross-functionally: Work closely with data analysts, product managers, and business stakeholders to translate business needs into technical solutions. Manage and mentor other ML practitioners, sharing knowledge and raising the technical bar across the team. Lead the innovation! You'll have a keen passion for staying updated with the rapidly evolving AI landscape, identifying … as prompt engineering, chain-of-thought reasoning, prompt chaining, Retrieval-Augmented Generation (RAG), custom-built agents. Familiarity with LLM and agentic frameworks like LangChain, PydanticAI, or similar. Proficiency in ML-Ops practices and tools; strong understanding of DevOps and CI/CD. Experience with cloud platforms, e.g. AWS (preferred), GCP, and deploying models in production. Experience developing and shipping GenAI More ❯

following: IT Modernization; Solution & Enterprise Architecture Marketing, Sales & Service Platforms (CRM) Physical & Digital Channels (Including Mobile) ERP (SAP) &Manufacturing Platforms Banking & Insurance Platforms People, HR, Collaboration Platforms Applied Intelligence, Machine Learning, RPA, Chatbots, Blockchain, IOT DevOps & Bimodal IT Data Analytics, Big Data, Data Platforms Cyber Security Strong business acumen; can frame complex problems in appropriate business contexts A More ❯

Proven ability to design, document, and deliver technical integrations that solve real-world problems. Excellent communication skillsboth technical and non-technicalwith comfort presenting to executives and engineers alike. High learning agility, intellectual curiosity, and adaptability. Ability to travel across the UK and Europe … for client engagements. Bachelor's degree from an accredited university, Preferred Qualifications Experience working in a high-growth startup, SaaS, cybersecurity, or strategic intelligence environment. Familiarity with AI/ML models and their integration into enterprise workflows. Prior work with government or large multinational clients. Degree in Computer Science, Engineering, or related technical discipline. Proficiency in another European language. Why More ❯

and deliver world-class data systems. What you will be doing Team Leadership & Strategy Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning, excellence, and ownership. Define and execute the data engineering roadmap aligned with Zego's business goals. Collaborate closely with leaders in Engineering, Analytics, Product and Insurance Pricing to ensure … business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What's it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve More ❯

analytics teams to design a domain-driven, unified data architecture. Support the creation of a real-time, scalable data layer that enables advanced analytics, AI-driven decision-making, and machine learning capabilities. Contribute to the development of data governance and compliance strategies. Technical Leadership & DevOps Culture Lead by example across delivery teams, offering hands-on technical support and More ❯

of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, Natural Language Processing, and Image Recognition. You will be part of Services Support Team under Catalog Support and Programs (CSP) in ASCS Org. The mission of the More ❯

team: Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

team: Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

team: Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯