176 to 200 of 317 Artificial Intelligence Engineering Jobs in the UK excluding London

iteration time, automate repetitive engineering decisions, and unlock generative design where it pays. Tooling. Accelerate tool design, optimize tool life, and bring intelligence to tool path generation. Manufacturing. Improve throughput, reduce scrap, predict defects before they happen, close the loop between machine data and process control. What … data architecture, tools and processes that support the global adoption of iCOMAT's Rapid Tow Shearing technology. Lead the development of iCOMAT's AI Engineering team and grow the capability in line with the growth of the company. Support the work of the Structures Engineering ...

checks to strengthen the multidisciplinary delivery team. Alongside the DDaT competencies, given the scale of this programme, hands-on depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks … deployment pipelines, monitoring, and rollback for AI services in production Fine-tuning and parameter-efficient adaptation techniques where appropriate to use case Data engineering for AI: ingestion, cleaning, and lineage across Legacy and multi-cloud sources Infrastructure-as-Code and CI/CD practices adapted for AI workloads ...

required by AI applications Working extensively across Microsoft technologies including Copilot Studio, Power Platform, Azure and Microsoft 365 Establishing reusable architectural patterns and engineering standards Considering security, governance, performance, resilience, data residency and cost throughout solution design Providing technical direction and mentorship to engineers Supporting client conversations, technical … complex technical concepts credibly to both technical and non-technical stakeholder About You I'm interested in speaking with people from Solution Architecture, AI Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several ...

design iteration time, automate repetitive engineering decisions, and unlock generative design where it pays.Tooling. Accelerate tool design, optimize tool life, and bring intelligence to tool path generation.Manufacturing. Improve throughput, reduce scrap, predict defects before they happen, close the loop between machine data and process control.What success looks … class data architecture, tools and processes that support the global adoption of iCOMAT’s Rapid Tow Shearing technology.Lead the development of iCOMAT’s AI Engineering team and grow the capability in line with the growth of the company.Support the work of the Structures Engineering, RTS Engineering ...

OpportunityThis is an exciting opportunity for a skilled Full Stack Software Engineer to join our Portfolio Team, providing the critical engineering expertise needed to develop and evolve our internal tools and services.You’ll play a pivotal role in designing, implementing and maintaining scalable backend systems and supporting … contract basis.The ideal candidate will have extensive experience building backend services using Node.js and TypeScript, with a strong understanding of modern software engineering practices, distributed systems and API design.While this is a full stack role, the primary emphasis is on backend development, system architecture and code quality. Experience ...

execute planning workflows Own the team's delivery roadmap, working closely with product management to prioritise features and manage technical trade‐offs Establish engineering best practices for AI development, including testing strategies, evaluation frameworks, and deployment patterns Lead sprint planning, technical design reviews, and retrospectives to ensure consistent … engineers and build cohesive, productive teams Experience leading teams in fast‐growing startups or enterprise software companies Knowledge of financial planning, analytics, or business intelligence domains Experience with RAG systems, vector databases, and semantic search Familiarity with model fine‐tuning, evaluation, and continuous improvement workflows Background in distributed systems ...

organisation. You will operate at a senior technical level, working across Azure infrastructure, AI platform engineering, security, MLOps, FinOps and AI engineering teams to create a secure, scalable and reusable AI platform. The successful candidate will combine deep Azure architecture expertise with hands‐on experience … AI consumption, including token usage and model utilisation. Establish budgets, alerts, quotas and resource controls to manage consumption‐based AI costs. Work with engineering and finance stakeholders to identify opportunities to optimise AI platform expenditure without compromising performance or service quality. MLOps, Automation & Platform Engineering Design ...

Entity: TechnologyJob Family Group: IT&S GroupJob Description: This role leads AI engineering capability across Upstream and Downstream business domains within bp's central digital delivery organisation. The Principal AI Engineer is responsible for managing a team of AI focused software engineers, owning the end-to-end delivery … AI-powered solutions from design through to production, and contributing to the broader AI engineering strategy for the function.The role exists to accelerate bp's adoption of applied AI by embedding technical leadership close to business domains, ensuring AI solutions are fit for purpose, scalable, and aligned with ...

operate the foundational infrastructure that enables AI systems to scale safely, securely, and reliably across the enterprise. This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. … evaluation, and inference. Engineer scalable, reliable, and secure cloud native services to support AI workloads across AWS, Azure, and hybrid environments Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems Enable production deployment of ML models and LLMs ...

Entity: Technology Job Family Group: IT&S Group Job Description: This role leads AI engineering capability across Upstream and Downstream business domains within bp's central digital delivery organisation. The Principal AI Engineer is responsible for managing a team of AI focused software engineers, owning … delivery of AI-powered solutions from design through to production, and contributing to the broader AI engineering strategy for the function. The role exists to accelerate bp's adoption of applied AI by embedding technical leadership close to business domains, ensuring AI solutions are fit for purpose, scalable ...

Group is hiring for a permanent AI engineering role based in the United Kingdom. You will design, develop and drive the adoption of AI agents and automation across the business, taking ownership of standards and solutions that shape our future. Based in Wigan with hybrid working (home ...

sales and bid teamsDelivery operations and resourcingMarketing and proposition developmentHR, Reward and LegalClients and prospectsLRQA AI assurance and certification teamsClient data science and AI engineering functionsResearch and academic partnersWhat You'll Bring:Essential:Strong offensive security background with demonstrable AI and machine learning security work, including testing ...

scale! You'll help define our AI capability roadmap, influence technical direction across multiple teams and support the growth of data science and AI engineering capability across the Platform! This is an opportunity to work with talented colleagues, solve meaningful problems and influence how AI is applied … experimentation and model development through to deployment, monitoring and continuous improvement. Provide technical leadership across large, multi-team programmes, helping teams make sound engineering and architectural decisions. Partner with product, engineering, data and business teams to deliver scalable AI-powered products and services. Embed responsible AI ...

global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder ...

operations frameworks that bring innovative solutions to life across our organisation. You’ll design and deliver new tools, components of the framework and engineering practices that turn cutting‐edge models into high‐performing, production‐ready systems. In this highly collaborative role, you’ll coach and guide a small … motivating for high performance and managing under‐performance where necessary What’s involved: You’ll continue to grow and evolve our Machine Learning & AI Engineering standards and frameworks. You’ll design further enhancements to the data pipelines and engineering infrastructure to embed scaled machine learning & AI ...

operations frameworks that bring innovative solutions to life across our organisation. You’ll design and deliver new tools, components of the framework and engineering practices that turn cutting‐edge models into high‐performing, production‐ready systems. In this highly collaborative role, you’ll coach and guide a small … motivating for high performance and managing under-performance where necessary What’s involved: You’ll continue to grow and evolve our Machine Learning & AI Engineering standards and frameworks. You’ll design further enhancements to the data pipelines and engineering infrastructure to embed scaled machine learning & AI ...

Learning Engineer to help design, deploy and scale the next generation of Conversational AI and data analytics platforms. This is a hands-on engineering position sitting at the intersection of Machine Learning, Generative AI and production engineering , with particular focus on deploying and optimising speech … work directly on technically challenging, production-focused AI systems rather than purely experimental machine learning projects. You will have exposure across the complete AI engineering lifecycle, including model serving, cloud infrastructure, GPU optimisation, MLOps, APIs and real-time conversational technology , within an environment where performance and scalability ...

AI and Machine Learning solutions. This is a hands-on technical leadership role for someone who can operate across AI strategy, architecture and engineering , while still being comfortable getting involved in the technology. The Role You will take technical ownership of AI initiatives from initial concept through … AI Technical Lead, Lead AI Engineer, Generative AI Lead, AI Architect, Principal AI Engineer, Machine Learning Lead, Staff AI Engineer or AI Engineering Lead. You should be comfortable operating at both strategic and hands-on technical levels. This is not a role for someone who only wants ...

business consulting, and AI innovation. Working alongside clients, you'll transform and develop ambitious business objectives into practical, scalable Salesforce solutions powered by automation, intelligence, and next‐generation AI capabilities. You'll be expected not only to solve today's challenges but to help clients prepare for an increasingly … building the autonomous agents and intelligent features that make it real and setting the standard for how Salesforce AI Engineering is done. We are a Disability Confident Employer Capgemini Is Proud To Be a Disability Confident Employer (Level 2) Under The UK Government's Disability Confident Scheme. ...

Implement and continuously improve machine learning and AI operations frameworks Design and deliver tools, framework components and engineering practices for production-ready ML and AI systems Coach and guide a small team of MLOps … Engineers, Analytics Engineers and AI Engineers Collaborate with Data Science, Pricing, Data Engineering and Software Development teams Evolve Machine Learning and AI Engineering standards and frameworks Enhance data pipelines and engineering infrastructure for scaled ML and AI solutions Support data acquisition, transformation, model discovery ...

increasingly draws AI into workflows as a step, such as LLM calls to classify, extract or summarise, working in close partnership with the AI Engineering team, which owns agents, LLM-powered applications, prompt engineering, evaluations and AI safety. ESSENTIAL DUTIES AND RESPONSIBILITIES Act as Waystone … observability. Embed AI as steps within workflows, such as LLM calls to classify, extract or summarise, consuming capabilities and patterns provided by the AI Engineering team, and preferring deterministic automation where it is safer, simpler or more cost effective. Ensure automations that consume AI do so responsibly, operating ...

AI technologies, value clean, reliable solutions, and want to deliver practical, business-focused outcomes. Applicants may have a background in either Data or AI engineering, with a keen interest in driving value from data using modern AI and analytics techniques. Applicants must have experience leading project teams, providing … setting priorities, and ensuring high-quality delivery.Mentoring: Support and mentor junior team members within your workstream, sharing expertise and promoting best practices Data Engineering & Development: Design, build, and maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop ...

AI technologies, value clean, reliable solutions, and want to deliver practical, business-focused outcomes. Applicants may have a background in either Data or AI engineering, with a keen interest in driving value from data using modern AI and analytics techniques. Applicants must have experience leading project teams, providing … setting priorities, and ensuring high-quality delivery.Mentoring: Support and mentor junior team members within your workstream, sharing expertise and promoting best practices Data Engineering & Development: Design, build, and maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop ...

lead the design and continuous improvement of ARC’s digital product portfolio. You will combine user-centred design with practical front-end engineering, turning complex scientific, regulatory and operational workflows into clear, accessible and high-performing experiences. You will … subject matter expert for user experience, accessibility, design systems and front-end standards. Working closely with Product, Software Engineering, AI Engineering and Test Engineering, you will help evolve ARC’s Digital solutions and contribute to future technology solutions—from early discovery through to production ...

insights, and recommendations from both structured and unstructured data. As a Senior engineer, you will provide technical leadership, drive the adoption of modern AI engineering practices, and ensure that AI-powered solutions are robust, scalable, and reliable. Responsibilities Design, develop and maintain Python-based services and data processing … Contribute to the delivery of scalable AI-powered solutions that improve investigative processes through automation and intelligent insights. Help establish and promote modern AI engineering practices, including agentic workflows, prompt engineering and AI-assisted development. Essential Skills Strong Python development experience, including building production-grade services ...