851 to 875 of 1,156 Machine Learning Jobs in the UK excluding London

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

stakeholder engagement skills Ability to work independently and drive change Desirable Manufacturing or industrial experience Microsoft Power Platform ERP/CRM systems AI or machine learning solutions Digital transformation projects This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with ...

translating technical concepts into practical solutions. Desirable Experience Research, scientific or higher education environments Infrastructure as Code and automation tools DevOps methodologies AI and machine learning infrastructure Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period ...

experimenting with AI tools but can also operate credibly in front of senior client stakeholders. You do not need to be a deeply specialised machine-learning engineer. The role is better suited to someone who can bridge the gap between business problems, consulting delivery and practical AI implementation. ...

algorithmic benchmarking. Experience investigating crosstalk, drift, coherent errors or signal-chain distortion. Experience transferring experimental methods into repeatable engineering or operational workflows. Knowledge of machine learning or numerical optimisation techniques applied to physical systems. Familiarity with control electronics, waveform generation and microwave signal chains. Experience with quantum software ...

ability to work independently in a fast-moving environment. Excellent communication, prioritisation and stakeholder management skills. Startup expereicne would be ideal! Experience with AI, machine learning, automation, LLMs or data-driven products would be highly desirable, but we are also open to strong Product Managers with excellent fundamentals ...

technical solutions Desirable Experience Research, scientific or higher education environments Infrastructure design and architecture DevOps practices and automation Infrastructure as Code technologies AI and machine learning infrastructure Grant-funded projects or bid contributions Line management or project leadership experience PRINCE2 or equivalent project management qualifications Please be aware ...

Apprenticeship opportunity has become available working with a fast-growing start-up who are at the forefront of intelligent interaction for accounting, blending machine learning, natural language processing, and human-centred design to create autonomous systems that redefine engagement with technology. This role is perfect for someone eager ...

algorithmic benchmarking. Experience investigating crosstalk, drift, coherent errors or signal-chain distortion. Experience transferring experimental methods into repeatable engineering or operational workflows. Knowledge of machine learning or numerical optimisation techniques applied to physical systems. Familiarity with control electronics, waveform generation and microwave signal chains. Experience with quantum software ...

regulator uses statistical evidence to identify emerging risks, shape policy and improve decision making at a national level.Rather than focusing on building machine learning models or data pipelines, this role is centred around designing robust statistical methodologies , helping establish best practice and developing the long-term capability ...

natural curiosity for data Experience using SQL and at least one analytical language such as Python or R A solid understanding of statistics and machine learning fundamentals Experience working with data transformation or ETL tools (DBT is a plus) Confidence explaining technical concepts to non-technical audiences ...

deliver successful outcomes. Desirable Experience Exposure to any of the following would be advantageous: Event-driven architectures. Data platform strategy and modern data ecosystems. Machine Learning or AI-enabled products. Platform Engineering principles. Mentoring senior engineers and developing technical capability across engineering teams. Large-scale SaaS product environments ...

customers and their communities to have a much-improved experience. Our flexible technology is fully Cloud-based and highly configurable. Our solutions integrate machine-learning artificial intelligence with sophisticated web front-ends and support hundreds of thousands of individual interactions every week. Our support teams are renowned ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into ...

operational demands of studios, broadcasters, and OTT platforms. Experience building or managing AI-powered products, particularly those involving audio, speech, video, language, machine learning, or speech synthesis technologies. Excellent communication, stakeholder management, and commercial acumen - comfortable engaging with both technical teams and senior M&E industry stakeholders. Familiarity ...

distributed data processing, data lakes, and data products. You will collaborate with engineers, data scientists, and governance teams to drive real-time data capabilities, ML/AI readiness, and scalable data platforms across the organization. #J-18808-Ljbffr ...

analytics application estate, ensure compliant releases, and maintain operational resiliency in a cloud-native environment. You will partner with product owners, data scientists, ML engineers, SREs, and business stakeholders to deliver scalable analytics while reducing toil through automation and secure coding #J-18808-Ljbffr ...

data processing, data storage and data products, working with engineers, data scientists and governance teams. The role focuses on building scalable data pipelines, harnessing ML/AI capabilities, and driving standards across the data platform. Hybrid London or Nottingham with strong benefits and career growth. #J-18808-Ljbffr ...

ship features tied to business outcomes, and collaborate with product managers to turn manual workflows into AI-driven automations while working with AI/ML engineers on integrating AI components across the stack. #J-18808-Ljbffr ...

Solid understanding of IDAM/IGA concepts: joiner/mover/leaver, RBAC, least privilege, approvals, SoD, audit evidence, Working knowledge of AI/ML and/or GenAI delivery life cycle (requirements - build - deploy - monitor), Experience operating in regulated environments with governance, risk, and control requirements, Excellent stakeholder management ...

Solid understanding of IDAM/IGA concepts: joiner/mover/leaver, RBAC, least privilege, approvals, SoD, audit evidence, Working knowledge of AI/ML and/or GenAI delivery life cycle (requirements - build - deploy - monitor), Experience operating in regulated environments with governance, risk, and control requirements, Excellent stakeholder management ...

milestones, timelines, dependencies, and delivery plans Proactively manage risks, issues, blockers, and escalations; keep delivery moving Coordinate across Engineering (FE/BE), AI/ML, and Risk/Compliance/Governance teams to align delivery Translate ambiguous requests into structured, testable requirements (e.g., user stories/functional specs ...