76 to 100 of 1,803 Machine Learning Jobs in the UK excluding London

people working on them are extraordinary. We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work … quality, and responsible AI principles. Experience with automation and analytics tooling - for example Power Platform, Power Automate, or equivalent. Relevant certifications in AI/ML, Power BI or Microsoft Azure is desirable. Knowledge of data science and machine learning is essential. Extensive experience is desirable. Experience working across ...

This position sits within the Turing Integrated Research Engineering (TIRE) team, working alongside the UK's national security community to develop innovative AI, machine learning and data science capabilities that address complex real-world challenges. The role combines technical leadership with hands-on engineering, delivering impactful solutions while … shaping the future direction of projects and partnerships. As a Principal Machine Learning Engineer, you will operate across a multidisciplinary environment spanning research, software engineering and stakeholder engagement. You will lead multiple technical projects, contribute to the development of new research opportunities, support the growth of colleagues through ...

Type Hybrid Work Hours 37.5 Responsibilities Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Qualifications Ind Standard Skills Strong expertise across data engineering tooling & platforms: pipelines, cloud DS, SQL, Python, machine learning & AI driven … environment. What you will be doing Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Set the standard for data engineering, architecture and best practice across the organisation Translate business and innovation requirements into effective technical solutions ...

Applied Data Scientist to support and enhance its fraud prevention capabilities. This is an exciting opportunity for a data science professional who enjoys combining machine learning, analytics and business insight to tackle complex fraud challenges THE COMPANY This organisation is a forward-thinking financial services business that places … centre of its decision-making. With a strong focus on innovation, the company is investing heavily in fraud prevention, advanced analytics and machine learning to enhance customer protection and drive better business outcomes. Working within a collaborative and highly analytical environment, you'll have the opportunity to partner ...

complex challenges with cutting‐edge technologies. You will work with key client stakeholders to understand business requirements and design solution proposals. You will use machine learning algorithms and other tools to develop and execute data models. You will consult with key internal and external stakeholders to determine … meeting with client stakeholders to discuss their business requirements. Design and implement a data pipeline for processing large datasets. Develop and execute a machine learning model to solve a business problem. Present your findings and recommendations to a variety of audiences. Collaborate with other engineers and data scientists ...

Overall purpose: Experienced embedded firmware/systems engineer with specific knowledge of machine learning and machine vision to join the Electronics and Software group. Main duties/key responsibilities: Work directly with customers and clients in multidisciplinary teams to understand their requirements, define tasks and take products … technical and non-technical audiences. Define software system architecture, functional requirements, features and use cases. Use Python, C and C++ with machine learning frameworks to create intelligent embedded systems employing wired and wireless communications, sensors, user interfaces, and control for a range of applications. Develop high-quality code ...

innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. We are looking for a hands‐on Machine Learning Engineer to design, develop and evaluate intelligent agent systems, turning emerging AI methods into reliable, scalable and reusable solutions for truly real … world data. About the Team Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilities Design and develop single-agent and multi-agent systems for complex workflows. Build ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … Skills and Experience****Requirements*** *BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML ...

industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference. As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. … successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced ...

Scientist with strong Machine Learning, Google Cloud Platform (GCP), Python and data engineering expertise to support the optimisation of fraud models and ML infrastructure. Contract information Job title: Data Scientist Location: 3 days in Sheffield and 2 days remote Contract type: Inside IR35 Key Responsibilities Assess and optimise … data science teams. Analyse and optimise GCP compute, storage and networking, balancing cost, performance and reliability. Implement and improve monitoring and observability across ML workloads, including cost, performance and reliability metrics. Support the design, validation and deployment of fraud and machine learning models end-to-end. Strong commercial ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … team, with some guidance and direction from seniors. Bring experience in developing and delivering data-centric solutions. Undertake research and applied AI/ML tasks on both customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … team, with some guidance and direction from seniors. Bring experience in developing and delivering data-centric solutions. Undertake research and applied AI/ML tasks on both customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Mentor more junior ...

Senior Machine Learning Scientist - REMOTE This is an opportunity to join a high-growth AI SaaS business using NLP and GenAI to transform unstructured customer feedback into actionable business insights. You'll work at the intersection of Machine Learning research and production, developing models that directly … powered products that drive measurable business impact. The Role You will develop and deploy advanced NLP and GenAI solutions across the full ML lifecycle.Key responsibilities: Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis. Fine-tune language models and optimise LLM performance. Design and evaluate experiments ...

Implementation Engineer ( Data Science/ML Background) Manchester | Hybrid (3 Days Office/2 Days Remote) A growing technology-led organisation is looking to appoint an AI Implementation Engineer to play a key role in driving AI adoption across the business. This is an exciting opportunity for someone with … Data Science and Machine Learning background who has evolved into delivering production AI solutions. You'll combine expertise across AI, ML, LLMs, data engineering and enterprise infrastructure to design, develop and implement AI solutions that create genuine business value. Working closely with IT, commercial stakeholders and operational teams ...

/Developer (Python Machine Learning AWS) Remote UK to £90k Are you a data savvy Backend Software Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on Backend Software Engineer role as part of a friendly and supportive … About you: You are a data savvy Backend Software Engineer with advanced Python coding skills You have experience of across the full lifecycle of ML model development including into production You're collaborative, enjoy problem solving and working with others to overcome technical challenges You have a strong knowledge ...

Researcher positions in probabilistic machine learning: Research Fellow, Postdoc and PhD Student Manchester Centre for AI Fundamentals has researcher positions open at several levels: Research Fellow, Postdoc and Postgraduate Research Student (funded). DL June 30, 2022 I am hiring researchers to my team working on probabilistic machine learning. Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different researchers work on different ...

Postdoc in Bayesian machine learning, AstraZeneca, Cambridge, UK Mar 29, 2018 PREDICTING DRUG TOXICITY WITH BAYESIAN MACHINE LEARNING MODELS We’re currently looking for talented scientists to join our innovative academic-style Postdoc. From our centre in Cambridge, UK you’ll be in a global pharmaceutical … with the guidance and knowledge you need to develop your career. You will be part of the Quantitative Biology group and develop comprehensive Bayesian machine learning models for predicting drug toxicity in liver, heart, and other organs. This includes predicting the mechanism as well as the probability ...

Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Aug 18, 2023 Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Keywords include automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulator-based inference. More background: The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields ...

will play a key role in building and deploying advanced machine learning solutions that support pricing and risk decision-making. Responsibilities include: Developing predictive models focused on risk, claims outcomes, fraud detection, and other key business metrics. Creating and maintaining analytical tools that improve portfolio management and commercial … extracting value from new internal and external data sources. Engineering new features and rating factors to enhance existing pricing algorithms. Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities. Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders ...

support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. This role can be hired at different grades, eg a recent PhD graduate or someone with … advantage (eg C, C++, Julia, R, Rust, etc) Experience delivering computational tools, models, or analytical methods Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageous An interest in leading projects What you'll get in return As well as a highly ...

support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. The role is permanent and hybrid working - it requires some time on site (preferably 3 days/… Experience owning projects and delivering computational tools, models, or analytical methods from development through validation Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageous The ability to independently lead projects and drive scientific direction with minimal supervision What ...

sits at the intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions. You must currently come from, or have recent experience working within, a consultancy or professional services environment , with … within larger data and AI transformation programmes. Design, build and maintain scalable data pipelines, datasets and data models. Develop solutions that support analytics, reporting, machine learning and AI use cases. Work with both structured and unstructured data from multiple sources. Develop and implement AI and machine learning ...

successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing and test data … through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics and machine learning. The successful candidate will play a leading role in defining and delivering this capability roadmap. In summary, the key deliverables for this role are: 1. ...