176 to 200 of 2,082 Machine Learning Jobs in the UK

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … help clients understand how analytics and AI can create measurable customer and business value. What You Will DoDesign and deliver customer analytics, data science, machine learning and generative AI solutions, from problem framing and data exploration through to production and measurable client value. Make the technical decisions ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...

science and AI, our Data & AI practice continues to grow. We are seeking high-performing individuals with a proven track record delivering data science, machine learning or AI solutions to join our team. This role can be based in either our Belfast or Derry/Londonderry office … travel may be necessary as you will be meeting with key clients, some of whom are the most respected in their fields. Lead AI & Machine learning engagements from problem definition through development and implementation, ensuring that each solution addresses a clear business need. Work with senior client stakeholders ...

Ireland, Germany, Portugal, Spain or The NetherlandsAbout the teamThe AI Engineering team builds the systems and capabilities behind Typeform's products. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. … design, build, and operate the systems behind our AI products. Your work will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands on engineering role with strong ownership. ...

this role. Follow approved designs and engineering standards while using the above tools on assigned tasks. FUNCTIONAL JOB DESCRIPTION Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations. Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables. Facilitate requirement … this role. Follow approved designs and engineering standards while using the above tools on assigned tasks. FUNCTIONAL JOB DESCRIPTION Analyze and validate AI/ML use cases, agent workflows, evaluation criteria, and responsible-AI expectations. Translate stakeholder needs into functional requirements, user stories, acceptance criteria, and traceable deliverables. Facilitate requirement ...

manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case. We're building for scale, and that scale brings ambiguity … track record of driving growth within large, complex, regulated organisations. Key ResponsibilitiesLead a team centred on a .NET back end, with front-end and machine learning components, helping engineers establish and validate their understanding of technical architecture and design end-user-centric systems and tools. Own predictable, high ...

systems and capabilities behind Typeform's AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. Through … connecting individual AI capabilities into a dependable customer experience. Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands-on individual contributor role with influence beyond ...

data products function where you'll play a key role in developing innovative, data-driven solutions. The position combines advanced analytics, product innovation, machine learning, and stakeholder engagement, offering the chance to influence both product strategy and technical delivery. The Company They are a data and analytics organisation … stakeholders to design, develop, and optimise data-driven products and analytical solutions. Responsibilities include: Identifying opportunities for new data products using advanced analytics and machine learning Developing predictive models and analytical solutions to support business objectives Building prototypes and proof-of-concepts using Databricks and modern data platforms ...

smarter. Our teams own the full lifecycle from idea to production, and work closely with colleagues across the business to grow the impact of ML and AI at Trainline. We're looking for a Machine Learning Engineering Manager to lead a team of 7 ML engineers and data … desire to make sustainable travel the easy choice. In this role, you will... Lead, coach and grow a team of ML and data engineers. That means setting clear expectations, giving regular feedback, managing performance and building an inclusive team where people do their best workHire for the team, shaping ...

service providers. Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Requirements: PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience.3+ years of hands … experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industryExperience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong full-stack or AI/ML engineering experience, including production deployments. Demonstrated ability to build and ship production full-stack applications and APIs, from backend services to user interfaces. Strong proficiency in Python … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong full-stack or AI/ML engineering experience, including production deployments. Demonstrated ability to build and ship production full-stack applications and APIs, from backend services to user interfaces. Strong proficiency in Python … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC) Why GSK? Uniting science, technology and talent to get ahead ...

Junior AI/ML Engineer - Computer Vision & Deep Learning - SC Cleared We are looking for a talented AI/ML Engineer to join a specialist engineering team delivering advanced computer vision and machine learning solutions for a major defence technology programme. You'll work alongside experienced … models. Support the development of deep learning solutions using Python and PyTorch. Assist with model training, validation, evaluation and deployment. Contribute to scalable ML pipelines and production-quality software. Collaborate with senior engineers to integrate AI models into operational systems. Support testing, debugging and continuous improvement of AI applications. ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong Experience of full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Demonstrated ability to take ideas from … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong Experience of full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Demonstrated ability to take ideas from … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC) Why GSK? Uniting science, technology and talent to get ahead ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong experience of full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Hands-on experience with GenAI patterns … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong experience of full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Hands-on experience with GenAI patterns … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)Why GSK Uniting science, technology and talent to get ahead ...

Sector: Machine Learning Engineer, Data Science and Machine LearningReference: WA - 04Founding Engineer | ML & Data Science | London Based Start-UpFounding ML Engineer needed to join growing London based AI Start-Up. This is an opportunity to join at the earliest stage, work closely with the founding team … experiment, move quickly, and directly influence both the technology and product as the company grows. What you'll doBuild and own the core ML and agentic systems behind planning, scheduling and disruption response. Take ideas from experiment to production, and make them dependable when the data is messy and mistakes ...

your first few months, you'll have: Built a clear understanding of Global's engineering and data science tools, how they connect, and where ML sits commercially. Established strong working relationships and operating models with Data Science and MLOps. Completed an audit of existing ML models in production, assessing stability … maintainability and risk. Engineered a model to a more robust, documented state and built reusable components others can use. What You'll Need Production ML experience: You've delivered ML and deep-learning projects at high data volume in commercial environments, owning deployment, CI/CD, monitoring and lifecycle ...

Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Organizational Awareness, Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query ...

Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor … customers throughout their AI transformation journey. Key job responsibilities1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon ...

distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. … e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub)ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer ...

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 ...