1,901 to 1,925 of 10,050 Machine Learning Jobs in the UK

Vite and modern component libraries (TailwindCSS, ShadcnUI). Solid SQL/no-SQL design and performance tuning skills (PostgreSQL, DynamoDB, ElectroDB). Comfort working in Python for data pipelines, ML ops, or scripting. Proven ability to break down complex domains, write RFCs, and ship iteratively in an agile, test-first environment. Excellent communication skills and a collaborative, mentorship-oriented mindset. … in London or Barcelona. Small, senior team—no heavy management layers, lots of autonomy. One-week sprints, async-friendly comms, and fast decision cycles. We value clean code, continuous learning, and doing right by artists. Competitive base salary + meaningful equity. Infinite paid holiday (+ local public holidays). Flexible hours. Complimentary gig tickets and backstage passes to all More ❯

open-minded to the opportunities the cloud provides. What you’ll be doing... Building reusable data pipelines at scale, working with structured and unstructured data, and feature engineering for machine learning or curating data to provide real-time contextual insights to power our customers' journeys. Using industry-leading toolsets, as well as evaluating exciting new technologies to design 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 ❯

get a sneak peek into our culture, find us on Instagram: @optimizely 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 ❯

is essential. Your code should be clean, organised, and easy to read Experience building models and developing data and analytical pipelines to solve real-world problems Solid understanding of machine learning/statistical theory, with practical experience applying a range of techniques Familiarity with deploying models in production environments Strong communication skills – the ability to explain complex data More ❯

and communicate effectively partnering closely with cross-functional teams, clearly articulating technical ideas and progress Your skills and experience Python Expertise: Strong background in Python, ideally with AI/ML and data science domain experience. Proficiency with libraries such as scikit-learn or equivalents Adaptability: Ability to quickly grasp complex concepts, context-switch and drive impactful solutions Communication: Excellent written … development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. We strive More ❯

impactful results BONUS POINTS FOR: Leadership in AI-Driven Projects: Proven ability to manage engineering teams delivering AI-powered solutions, especially those involving Generative AI Large Language Models or machine learning A background in high-iteration environments, such as startups or innovation focused teams Experience within the energy sector or contact centre operations Cloud Expertise: Strong experience with More ❯

AI-based software solutions. Experience in supply chain risk management is highly desirable. Hands-on technical experience with SaaS or AI-based solutions. A solid understanding of AI technologies (machine learning, natural language processing, etc.) and their application in business processes. Excellent verbal and written communication skills, with the ability to explain complex technical concepts to both technical More ❯

is essential. Your code should be clean, organised, and easy to read. Experience building models and developing data and analytical pipelines to solve real-world problems. Solid understanding of machine learning/statistical theory, with practical experience applying a range of techniques. Familiarity with deploying models in production environments. Strong communication skills – the ability to explain complex data More ❯

such as CI/CD, Application Resiliency, and Security Practical cloud native experience Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Strong development experience in Kotlin or Java Proficiency in Spring Boot and associated ecosystem (JPA, Spring Security, etc) Solid graps of SQL and NoSQL databases More ❯

our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Expedia Qualit y Platform is focused on creating solutions, platforms and tools to help domains More ❯

service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description Join our data team to help craft and build innovative machine learning and AI services. You'll work alongside scientists, engineers, architects, and analysts, embedding strong governance from the start. Partnering with our governance lead, you’ll help set More ❯

Control-M product line is BMC's orchestration and automation platform. It helps the world's largest companies to automate time-sensitive, business-critical workflows. We orchestrate data and machine learning pipelines, supply chains, production lines, financial transactions, and other processes in complex IT environments worldwide. We continuously grow by adding and implementing the most cutting-edge technologies More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Business knowledge of simple derivative products (e.g., vanilla options, variance swaps) and how to evaluate risk exposure using Greeks. Equities More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Interest in developing industry trends, especially around data management platforms Previous experience supporting at least one Capital Markets Line of Business BS/BA degree More ❯

Proven experience in a senior leadership role in a fast-paced high growth scale-up. A track record of data modelling, and applying advanced analytics, data systems and tools, machine learning, and AI, to drive business growth. Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders Advanced degree in Computer Science, Data Science More ❯

open minded to the opportunities the cloud provides. What you'll be doing... Building reusable data pipelines at scale, work with structured and unstructured data, and feature engineering for machine learning or curate data to provide real time contextualise insights to power our customers journeys. Using industry leading toolsets, as well as evaluating exciting new technologies to design 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 ❯

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 ❯

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 and Career Growth We're continuously … Professional or Cloud DevOps Engineering) - Experience in infrastructure architecture, database architecture and networking - Experience in migrating or transforming legacy customer solutions to the cloud - Familiarity with common AI/ML and GenAI lifecycles, data lakes and data analytics solutions. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a More ❯

you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. They More ❯

happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

frameworks to improve the effectiveness of data engineering processes and product development Influence the evolution of the company’s data architecture to support emerging needs and business growth, including machine learning and AI-based solutions Lead efforts to modernise and scale the data infrastructure, ensuring flexibility for future needs Stakeholder Communication & Reporting: Communicate the status, strategy, and outcomes More ❯

of the following would be beneficial: ETL/TEL solutions The Google family of APIs The UK insurance sector Statistical analysis methods LightGBM, XGBoost, CatBoost or similar python-focused ML libraries Personal Attributes Good interpersonal and influencing skills Attentive to detail - getting it 'right first time' Self-motivated, able to use initiative and think creatively Organised approach to work Ability … and opportunity for annual pension review Health cashback plan Hybrid working arrangements Additional service-related holidays Option to buy additional holidays Cycle to work scheme Full access to online learning system Recognition bonuses Location The company operates a hybrid working policy, where employees can work both from home and from our office at Amelia Street, Belfast BT2 7GS. How More ❯

on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We Offer A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications Regular and frequent promotion and progression opportunities to ensure you can drive and develop your … the UK for the last 10 years. You must be able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). Seniority level Seniority level Mid-Senior level Employment type More ❯