126 to 150 of 1,803 Machine Learning Jobs in the UK excluding London

## Principal Software Engineer (AI/ML)Applylocations: GB - Luton - Cap. Green 300: GB - Edinburgh: GB - Lincoln: GB - Southampton: GB - Basildontime type: Full timeposted on: Posted Todayjob requisition id: R0031288**Job Description:*****Salary Range:** £54,000 - £70,000**Leonardo UK operates a grade-based salary framework with broad bands. … protect internal equity.***Your Impact**Are you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If the prospect of developing software ...

title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

machine learning, AI, and cloud technologies. Required technical and professional expertise Required Skills: Advanced Python with hands‐on experience across AI/ML frameworks including TensorFlow, PyTorch, and Keras. Strong understanding of foundation models, LLMs, generative AI, and modern ML architectures. Practical experience with AWS cloud services … ready AI solutions in complex professional environments. Strong consulting, stakeholder engagement, problem‐solving, and technical leadership capabilities. Desirable AWS Tools & Technologies experience: Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena - Data warehousing & serverless analytics Amazon ...

advanced analytics and AI use cases Integrate Databricks with Azure Machine Learning, Azure OpenAI and wider Azure data services Support AI/ML and agentic AI workloads including RAG, LLMs and autonomous agent architectures Develop analytical solutions incorporating machine learning, NLP, graph analytics, clustering, entity resolution … learning workloads Graph databases and graph analytics including Neo4j or Cosmos DB Gremlin API Power BI and analytical visualisation Feature stores and ML data pipelines NLP, clustering, entity resolution and causal inference Responsible AI and AI governance frameworks Previous experience within Defence, Government, National Security or similarly regulated ...

leading machine-learning software company in Cambridge is seeking a Machine Learning Research Engineer to investigate new concepts in machine learning, particularly focusing on Natural Language Processing (NLP) and large language models (LLMs). The ideal candidate will possess a Ph.D. and a strong … background in classic machine learning as well as practical experience with Python frameworks like PyTorch and TensorFlow. This position offers a competitive salary and a blend of office and remote work. #J-18808-Ljbffr ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

have the right data in the right place, providing access to insight, and delivering advanced capability to answer strategic questions using Data Science and Machine Learning. Utilising our advanced Google Cloud data platform, the Data Scientist explores complex datasets across our operations from field to fork to build predictive … decision-making. Accountabilities Customer Build trusted relationships with internal stakeholders to understand operational context and business priorities. Solve complex business problems using applied mathematics, machine learning, and statistical modelling. Own data science deliverables over the full life of data products, providing clear updates and presenting complex statistical outputs ...

Vice President, AI/Machine Learning Data Engineer At BNY, our culture allows us to run our company better and enables employees growth and success.As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the worlds investible assets. … following ways: Design and develop AI-powered solutions to solve complex enterprise data and analytics problems Translate ambiguous business problems into structured AI/ML approaches and algorithms Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems Collaborate with platform, data, and product teams ...

protect internal equity. Your Impact Are you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If the prospect of developing software … will contribute to the delivery of leading-edge solutions for challenging civilian and military projects. Leonardo has a significant interest in exploiting AI/ML technologies. In this role, you will support our systems engineers on research projects while developing deployable software solutions that leverage AI/ML capabilities. What ...

protect internal equity. Your Impact Are you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If the prospect of developing software … will contribute to the delivery of leading-edge solutions for challenging civilian and military projects. Leonardo has a significant interest in exploiting AI/ML technologies. In this role, you will support our systems engineers on research projects while developing deployable software solutions that leverage AI/ML capabilities. What ...

work on meaningful, high profile programmes that stretch your skills and accelerate your growth. We invest heavily in you--supporting continuous learning, in demand skills development, and long term career progression. You'll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes … Working as part of IBM Consulting's Hybrid Cloud & Data practice, you'll help clients unlock value from modern AI technologies, combining data science, machine learning, Generative AI, and Large Language Models to solve complex business challenges across public sector, financial services, and regulated industries. You will work ...

opportunities, define project requirements, and drive initiatives that push the boundaries of data-driven solutions in aerospace. You'll leverage Python and leading machine learning frameworks to build scalable AI algorithms, process complex datasets, and create impactful reports and visualizations for stakeholders. Your expertise will ensure robust, compliant … programming skills in Python; knowledge of R, SQL, or other languages is a plus Strong analytical and problem-solving mindset focused on AI and machine learning Ability to communicate complex concepts to non-technical audiences Good project management skills, able to handle multiple projects concurrently Attention to detail ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

within the Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international … problems, using the freedom to experiment with many different approaches on long-term projects to provide genuinely novel solutions. Research emerging methods across statistics, ML/AI, and adjacent fields to evaluate their applicability to football modelling. Effectively utilise AI coding agents and tooling to accelerate the speed of development. ...

within the Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international … problems, using the freedom to experiment with many different approaches on long-term projects to provide genuinely novel solutions. Research emerging methods across statistics, ML/AI, and adjacent fields to evaluate their applicability to football modelling. Effectively utilise AI coding agents and tooling to accelerate the speed of development. ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine‐learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine‐learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client-ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

that uncover revenue opportunities, improve customer retention, enable intelligent automation, and accelerate sustainable business growth. The ideal candidate combines expertise in data science, AI, machine learning, customer analytics, business intelligence, and commercial strategy with the ability to influence decision-making at the executive level. Key Responsibilities: Design, build … Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or related field. 8+ years of experience in Data Science, Customer Analytics, Business Intelligence, Revenue Analytics, Machine Learning, AI, or related disciplines. Experience building predictive models and advanced analytical solutions. Strong proficiency with SQL, Python, and modern analytics platforms. Experience ...

role for someone who wants their models used, not admired. You will solve complex customer and commercial problems through advanced analytics, experimentation and machine learning, working with rich customer, booking, behavioural, marketing and digital data. The problem space is broad: segmentation, propensity, personalisation, customer value, retention, forecasting … answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns and commercial opportunity. Design rigorous experiments ...

growing Analytics team based full-time at our Eastleigh office. This is an exciting opportunity to work with large-scale sensor datasets, develop innovative machine learning and condition monitoring solutions, and help deliver industry-leading analytics capabilities to customers worldwide.This role would suit someone with a strong academic … background, ideally educated to Master's or PhD level in a STEM discipline, who has already gained some commercial experience applying data science, machine learning, or analytics techniques in a professional environment.You'll be a naturally curious problem solver, someone who enjoys turning complex data into actionable insights ...

advance your career. THE ROLE The right engineer will drive the success of AMD (Advanced Micro Devices) software products, around mathematics and classical machine learning, through innovation & collaboration. You will have exposure to all the latest AMD technologies as part of the team which will deliver our next … products. Your peers will provide a results-oriented and encouraging environment to solve challenging technical problems and grow your career. KEY SKILLS Classical Machine Learning, Data Science, Numerical Algorithms and C/C++ ACADEMIC CREDENTIALS Master's degree or PhD in Mathematics, Statistics, Data Science or equivalent ...

What you'll do Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results. Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques. Turn research into proof-of-concept systems … Publish, contributing to papers, technical reports, and conference talks that put the Lab's work in front of the wider AI community. Mentor other ML scientists and research associates working alongside you on the programme. Work directly with partner organisations to understand real technical constraints, not just theoretical ones. What ...

continue to push technology forward. TPU team develops the Accelerated Linear Algebra (XLA) TPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU accelerators for internal (e.g. Google DeepMind) and external customers. It is a vital part of the Google Gemini … their most critical business problems. Minimum qualifications: Experience with coding in data structures, algorithms and software design. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Work or educational experience in Machine Learning ...