76 to 100 of 457 Machine Learning Jobs in London

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 ...

Machine Learning Engineer £65,000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent An opportunity is available for an experienced Senior Machine Learning Engineer to design, build and operationalise advanced machine learning solutions that directly support UK national security objectives ...

define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences. Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise … Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/ ...

Quantexa ETL/Scoring Engineer (ML, MLOps, Azure) - London and remote - 11 months +/RATE: £511.8 per day inside IR35 One of our Blue Chip Clients is urgently looking for a Quantexa ETL/Scoring Engineer (ML, MLOps, Azure) You MUST have 3-5 years+ of Quantexa experience … random forest, ensemble methods etc Experience with MLOps including model deployment, CI/CD and unit testing. (GIT, Azure devops etc) Experience in building ML pipelines, feature engineering and ability to handle large dataset for business insights. Experience with model governance including explainability, observability and documentations Scala and Python knowledge ...

Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent … institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have ...

partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses ...

optimising, and deploying AI solutions in a fast-moving environment. You’ll work closely with product, data, and engineering teams to design and implement machine learning models, contribute to production-ready pipelines, and help scale AI capabilities across the business. Key Responsibilities: Design, build, and deploy machine … quality, testing, and scalability Required Experience: Proven experience as an AI Engineer or Machine Learning Engineer Advanced Python skills with experience in ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Strong understanding of machine learning algorithms and applied AI Experience deploying models into production environments Comfortable working ...

negotiable London based - hybrid working - 2/3 days on site Job Description Summary This hands-on role requires deep expertise in artificial intelligence, machine learning, and software development to design, build, and deploy advanced Agentic AI-driven solutions tailored to clients' unique needs. The Agentic AI Solutions … Solutions Engineer will be instrumental in advancing the organization's research and development capabilities. This includes investigating the latest developments in agentic AI and machine learning, experimenting with novel approaches, and transforming research insights into working prototypes. The role also involves maintaining and evolving our product portfolio ...

Senior Machine Learning Engineer London Are you a Senior ML Engineer who wants to build AI that genuinely matters? Our client is a leading digital technology organisation delivering AI, data, and software solutions to UK public sector and national security customers. They are expanding their machine learning capability and are seeking an experienced engineer to design, evaluate, and deploy production-grade ML and GenAI solutions in high-impact operational environments. What youll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI/LLM use cases Lead experimentation cycles: hypothesis, evaluation, iteration ...

/ML Architect Location: London (Hybrid - 2 days/week onsite) Duration: 6 months Day Rate: £510 per day (Inside IR35) Role Overview We are seeking an experienced AI/ML Architect to design, build, and lead the deployment of advanced machine learning and AI-driven solutions. … enable real-world value from data by architecting models, pipelines, and integration patterns that scale across the organisation. This role combines technical depth, applied ML engineering, solution design, and hands-on development. Key Responsibilities Design, build, and train end-to-end machine learning models across NLP, predictive analytics ...

deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking … data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value. Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering ...

Senior Machine Learning Engineer London Are you a Senior ML Engineer who wants to build AI that genuinely matters? Our client is a leading digital technology organisation delivering AI, data, and software solutions to UK public sector and national security customers. They are expanding their machine learning ...

Urgent 12-month Hybrid AI/Machine Learning (ML) engineer role paying £400 a day inside IR35 in central London with 2-3 days in the office a week. Start before Christmas, I need to send candidates today for this to be possible. Interviews next week apply asap …/Today Key Responsibilities: Build and optimize AI/ML pipelines for predictive modelling, NLP, and generative AI applications. Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. Design and implement Big Data solutions using Hadoop, Spark, PySpark, and Data Lake architectures. Develop and deploy ML models ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods … such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable ...

Inside IR35 A global life sciences organisation is seeking a Senior Data Engineer to join a highly technical data platform team working on ML-adjacent initiatives. The environment is cloud-native and highly data-intensive, with a strong focus on unstructured data and scalable pipelines. This is a data engineering … role rather than an ML Engineer or Data Scientist position. The successful contractor will be comfortable operating close to machine learning workflows, particularly working with PyTorch in a cloud environment, but the core responsibility remains data engineering at scale. The RoleYou will be responsible for designing, building ...

models and insights that directly support product development, customer experience, and commercial decision-making. The successful candidate will have strong experience in statistical modelling, machine learning, and experimentation , with the ability to work closely with product and engineering teams to deliver practical, scalable solutions. Key Responsibilities Data Science … measure product or feature effectiveness. Ability to navigate large, complex, or ambiguous datasets and translate analysis into clear, actionable insights. Experience using common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow, or similar). Exposure to cloud-based data or ML platforms (AWS, GCP, Azure or similar). Strong data visualisation ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

Senior Manager level, you'll play a key role in shaping technical delivery and trusted client relationships. Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools, exposure to high-impact projects, and the backing of a global consultancy network. Flexible working … commercial industries. Design and build end-to-end platforms as a Full Stack Developer using Palantir and modern data technologies. Apply advanced analytics and machine learning to real-world challenges. Influence technical direction and best practice across complex programmes. Mentor and develop junior engineers while contributing ...

Senior Manager level, you'll play a key role in shaping technical delivery and trusted client relationships. Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools, exposure to high-impact projects, and the backing of a global consultancy network. Flexible working … industries. Design and build end-to-end platforms as a Full Stack Data Engineer using Palantir and modern data technologies. Apply advanced analytics and machine learning to real-world challenges. Influence technical direction and best practice across complex programmes. Mentor and develop junior engineers while contributing ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

Data Annotator Analyst London Expedia Group are looking for a Data Annotator/Data Analyst to support the development and evaluation of AI and machine learning solutions. In this PAYE role, you will be responsible for annotating datasets, ensuring data quality, and collaborating with data scientists and engineers … consistent, and accurate annotations following defined guidelines Analyze annotated data to identify patterns, issues, and opportunities for improvement Work closely with data scientists and ML engineers to refine annotation strategies Use annotation tools (e.g., Label Studio or similar) to manage and review datasets Perform basic data processing and validation using ...

discuss flexible working! Top 3 skills needed for this role: Designing and delivering scalable data pipelines Strong programming capability with SQL Deploying and maintaining machine learning models as APIs in production environments What this role is all about: Join us as a Data Engineer and help build … data foundations that power machine learning and analytics across Vitality. You’ll work with rich datasets and modern technologies to design and deliver reliable data pipelines and APIs that support a company focused on improving people’s health. Key Actions: Work with the Data Engineering team to implement ...

join a high-performing national security team in London, with hybrid working supported. This organisation operates across multiple countries, delivering advanced data, AI and machine learning solutions to government and defence customers in highly complex environments. The Role As a Senior Data Scientist, the focus will … applying cutting-edge AI, machine learning and statistical techniques to real-world national security challenges. The Senior Data Scientist will work across varied projects including exploratory research, bespoke AI solutions and large-scale data platforms, collaborating with technical and non-technical stakeholders. Responsibilities will include shaping projects, delivering ...