351 to 375 of 1,840 Machine Learning Jobs in London

applications on Kubernetes, ensuring scalability and resilience. Use Go and/or Python for automation tasks. Troubleshoot complex issues with analytical skills. Qualifications Experience with applications, data engineering, or machine learning workloads on AWS or GCP. Hands-on with CloudFormation and Terraform. Knowledge of data security principles in cloud environments. Familiarity with AWS networking (VPCs, Route 53, Security 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 WorkplacesTM.Join Accenture to work at the heart of change. Visit us 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 WorkplacesTM.Join Accenture to work at the heart of change. Visit us More ❯

growth. • Develop integrated strategies that leverage data science to drive decision-making in investment, trading, and other deeply quantitative domains, aligning with our clients' business objectives. • Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. • Strengthen relationships with clients to sustain Accenture's profile as a … long-term trusted advisor and partner. • Mentor and grow a team of strategy consultants and analysts, fostering an environment of continuous learning and innovation. • Travel: as needed, up to 100% You will be part of a diverse, vibrant, global Accenture community; teams pushing the boundaries of new business capabilities and emerging technologies and services, sharing their experiences and lessons … be able to work on meaningful and innovative projects,powered by the latest technologies and industry bestpractices such as event-drivenarchitectures and domaindrivendesign. Accenture will continually invest in your learning and growth. You'll learn from and work with Accenture's certified practitioners and Accenture will support you in growing your own tech stack, sales skills, and certifications. You More ❯

At Wayve, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … Splunk, Humio, etc.). Exceptional problem-solving skills and a detail-oriented mindset, coupled with outstanding communication abilities. Experience with Azure, a background in autonomous vehicles, or involvement in ML/AI projects. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working … policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. #LI-HH1 We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think More ❯

products as well as showing how X is the go-to social platform for Olympics content. Key Qualifications: 5+ years in data architecture and engineering in generative AI or machine learning contexts. Proven experience designing scalable data models, architectures, and pipelines, with proficiency in cloud platforms (AWS, GCP, or Azure) and data warehousing solutions. Hands-on experience with More ❯

products as well as showing how X is the go-to social platform for Olympics content. Key Qualifications: 5+ years in data architecture and engineering in generative AI or machine learning contexts. Proven experience designing scalable data models, architectures, and pipelines, with proficiency in cloud platforms (AWS, GCP, or Azure) and data warehousing solutions. Hands-on experience with More ❯

with modern devops workflows: CI/CD, Git, infrastructure as code Comfortable working with streaming platforms, APIs, and in-memory/NoSQL databases Interest in or experience with integrating machine learning models into production systems Strong communication skills and ability to collaborate with engineers, data scientists, and stakeholders Passion for clean, testable, well-documented code Seniority level Seniority 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 ❯

Graduate AI and Machine Learning Engineer About Data Reply: DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. Role overview: As a Graduate AI & Machine Learning Engineer, you … machine learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers … to understand and implement models into production. At Data Reply, you'll enjoy extensive training opportunities coupled with a detailed learning path to guide you along the way. You'll thrive in our diverse and vibrant work environment and will be surrounded by peers who share your passion for data and technology. As a graduate at Reply, you will 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 ❯

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 ❯

software engineering principles. Excellent problem-solving skills, attention to detail, and a passion for continuous learning in the field of AI and machine learning. Bonus: Experience integrating ML into interactive or XR applications. What We Value Comfortable navigating ambiguity and working independently. Action-oriented with a practical approach to solving complex problems. Strong ownership mentality and proven delivery … on high-impact projects. Clear communicator with strong collaboration skills, especially with technical teams. Experience building from the ground up in fast-moving startup environments. Genuine enthusiasm for accelerating ML research and deployment in creative space. Bonus Skills (Nice-to-Have) Experience with ML pipelines involving video, image, or 3D data. Familiarity with distributed compute frameworks (e.g., Ray) or orchestration … tools (e.g., Flyte). Familiarity with game engines (Unreal or Unity) Knowledge of vector databases and similarity search (e.g., LanceDB). Prior work in AI/ML research settings or startups. Contributions to open-source ML/data infrastructure projects. Experience designing tools directly for researchers or technical users. Seniority level Seniority level Mid-Senior level Employment type Employment type More ❯

insurance with world-class data analytics and risk assessment solutions. As a global tech leader, we empower insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and 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 ❯

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 ❯