1 to 25 of 26 Machine Learning Jobs in West London

Machine Learning Engineer £75k-£100k DOE | UK Remote About the Role We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone … combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer ...

work on challenging AI projects that deliver real-world impact? Were working with a leading applied AI organisation that combines advanced data science, machine learning, and cutting-edge technology to help organisations make better decisions. Their teams work across sectors including government, healthcare, finance, and retail, solving complex … with experience across data science and machine learning workflows. Solid understanding of machine learning algorithms and statistical modelling. Experience using ML libraries such as scikit-learn, TensorFlow, or PyTorch. Strong knowledge of data preprocessing, feature engineering, and model evaluation. Experience working with large datasets and applying ...

harden" the software to achieve higher TRLs suitable for deployment in the National Security Domain. System Integration: Design and manage the integration of ML models into broader software architectures, ensuring stability and performance. Edge Optimization & Deployment: Adapt and optimize machine learning models for resource-constrained environments, ensuring high … ensure our solutions are maintainable and scalable. Skills & Experience Technical Expertise: Broad technical expertise in machine learning, demonstrating a deep understanding of ML algorithms, frameworks, and software engineering best practices. Model Maturation: Proven experience in taking research-grade AI/ML code and maturing it into production-ready ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 - AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , youll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … hybrid working approach with 2 days a week onsite in Osterley office . What? youll do: Youll be the technical lead for a critical ML domain (e.g.,? live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

performance monitoring Design and implement forward-looking AI proof-of-concepts, contributing hands-on to development where needed Drive innovation and best practices in machine learning, analytics, and data science delivery About You: Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field Extensive experience leading data science and AI initiatives in complex environments Deep expertise in machine learning, statistical modelling, and business analytics Strong leadership, stakeholder management, and communication skills, with the ability to influence across all levels Experience within FMCG or a similar fast ...

dependent on experience Ref: J13156 A global technology organisation is seeking a Simulation & Operational Modelling Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world operational challenges. This isn’t a role where your work disappears into reports. This is an opportunity … insights support operational decision-making, while continuing to develop your technical capability in a complex real-world environment. You’ll be involved in: Developing machine learning models to improve forecasting and operational planning Applying time-series analysis and feature engineering techniques across large datasets Building and improving discrete ...

statistics and experience applying advanced modelling techniques to real-world business problems. Working closely with cross-functional stakeholders, you will leverage statistical modelling, machine learning, and predictive analytics to improve forecasting accuracy, optimise inventory, and drive operational efficiency. Key Responsibilities: Apply statistical modelling and machine learning … understanding of statistical concepts, including: Probabilistic modelling Statistical inference Time series analysis Forecasting methodologies Proficiency in Python or R for data analysis, modelling, and machine learning. Experience applying analytics within a supply chain environment. Strong analytical thinking and problem-solving abilities with a focus on methodological rigour. Excellent communication ...

Data Product strategy closely aligned with CTO teams and giffgaff’s business objectives. Develop a multi‐year roadmap for AI, machine learning, analytics, and data platform products closely aligned with CTO teams and giffgaff’s business objectives. Lead a high‐performing team of AI and Data Product Managers. … Track business impact and communicate value delivered. What We’re Looking For Essential Significant experience leading product management teams in data, analytics, AI, or machine learning environments. Proven track record delivering AI or data products at scale. Strong understanding of product management, discovery, prioritisation, and delivery. Experience working ...

balance engineering rigor with delivery speed. Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents … crew of agents etc.). Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. ...

/or Python development Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Power BI development and data modelling Exposure to AI, Machine Learning, or advanced analytics projects Microsoft certifications such as DP-600 or DP-203 Experience working within large-scale transformation or cloud migration ...

with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI-driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problemssuch as predictive maintenance or autonomous ISTARensuring they are fit for purpose ...

with cutting-edge technology companies, from high-growth startups to established global businesses, helping them hire top talent across Data Science, Data Engineering, Analytics, Machine Learning, and wider AI functions. With a strong international presence and a performance-led culture, the business offers a clear platform to build ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

time operational solutions for broad based industrial/manufacturing and transportation/logistics organizations worldwide. Some interesting areas we are exploring include industrial automation, machine learning, IIOT, cyber security, AI, robotics, and other technologies. With approximately 1000 employees globally, Brock Solutions is a privately held, employee owned organization ...

travel technology leader-shaping how the business operates and performs for years to come. Keywords; AI Strategy, AI Transformation, GenAI, Generative AI, Artificial Intelligence, Machine Learning adoption, AI governance, AI operating models, data-driven transformation, digital transformation, automation, AI implementation, technology transformation, change management. Global Marketing, B2B Marketing ...

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to ...

integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g. … migration planning. Working knowledge of Foundry (Palantir) or equivalent analytical platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks ...

never had them. You appreciate candid feedback and an experimental mindset: Samsara employees challenge the status quo and recognize failure as part of the learning process. We encourage each other to be honest and hold ourselves to high standards. In this role, you will: Own the product vision, strategy … team. Domain experience in one or more of: fuel/energy, fleet management, fintech/payments, logistics, or electric vehicles. Experience shipping AI‐ or ML‐powered features. Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which ...

Overview Our client is building advanced AI and autonomy technologies that solve some of the most technically challenging problems in computer vision, robotics and machine learning. Role Overview We are seeking a Senior Robotics Software Engineer to develop, test and deploy software for autonomous and semi-autonomous robotic systems. … Navigation and autonomy systems Sensor fusion and state estimation Gazebo, Isaac Sim, MATLAB/Simulink or similar simulation platforms Real-time systems development Reinforcement learning Pybind11 What We're Looking For Demonstrable experience delivering robotics projects Strong software engineering principles and coding standards Ability to take ownership of technical ...