301 to 325 of 787 Artificial Intelligence Engineering Jobs in the UK

establishing standards, practices, and expertise within your squad. You will act as a "player-coach," directly contributing to squad work while cultivating engineering talent. By integrating solution architecture expertise with a focus on talent development, you will lead the creation and delivery of impactful GenAI products, enabling transformative … mind.GenAI & System ThinkingDrive adoption and experimentation with large language models (LLMs), working closely with product and research teams.Prioritize efficiencies by using AI engineering tools within your team.Identify and articulate system-level tradeoffs, risks, and opportunities in AI-enabled architectures.Stay current with AI and software engineering trends ...

Senior Engineering Manager - Data & AI - London (Hybrid) - Azure – Databricks - Microsoft Fabric - Power Platform - Up to £115,000 We're partnering with a leading retail organisation that is investing heavily in Data, AI and digital transformation as part of an ambitious long-term technology strategy. With millions of customers … Azure, Databricks, Microsoft Fabric, Power Apps, Power Automate, SharePoint, Azure DevOps, and AI-driven solutions The Role Lead and develop high-performing Data & AI engineering teams Act as a senior technical authority across Azure-based data and analytics platforms Drive the evolution of enterprise-scale data architecture ...

CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You’ll Do: The Physical AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI … next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies. About the role: We’re seeking a Senior Software Engineer to help build and scale our platform as we meet growing demand from ...

establishing standards, practices, and expertise within your squad. You will act as a \"player-coach,\" directly contributing to squad work while cultivating engineering talent. By integrating solution architecture expertise with a focus on talent development, you will lead the creation and delivery of impactful GenAI products, enabling transformative … GenAI & System Thinking Drive adoption and experimentation with large language models (LLMs), working closely with product and research teams. Prioritize efficiencies by using AI engineering tools within your team. Identify and articulate system-level tradeoffs, risks, and opportunities in AI-enabled architectures. Stay current with AI and software ...

contributing to our internal communities and best practices. Capability Development - Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics such as Agentic AI, LLMOps, or evaluation frameworks. YOUR PROFILE We’d Love To Meet Someone With Experience working in a major Consulting … address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market-leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported ...

built a central AI function twelve months ago. It's now 15 strong across Data Science, Data Engineering, Product and AI Engineering, and growing!Squad model: DS, DE, Product and AI Engineering form around a problem and own the product end to end. … Live Python and problem-solving, then a deep dive on your wider skill set.In person - culture and commercial fit with the Head of AI Engineering and Director of AI.The WhyNew function, so expect ambiguity and pace. Greenfield problems, short paths to production, visible impact .Working inside a large ...

built a central AI function twelve months ago. It's now 15 strong across Data Science, Data Engineering, Product and AI Engineering, and growing! Squad model: DS, DE, Product and AI Engineering form around a problem and own the product end to end. … Python and problem-solving, then a deep dive on your wider skill set. In person - culture and commercial fit with the Head of AI Engineering and Director of AI. The Why New function, so expect ambiguity and pace. Greenfield problems, short paths to production, visible impact .Working inside ...

hone existing skills and learn new ones As a Software Engineer - Lead, you will be responsible for seeding and growing the AI Engineering function within GCG technology. You will partner with business partners, and AI engineers to turn ambiguous problems into working AI solutions that improve our Client … operate as a player-coach, not a distant manager, working at the intersection of AI, software, and data. This is a hands-on engineering role for someone who is as comfortable in a working session with a business team as they are building a retrieval pipeline or hardening ...

solutions using modern machine-learning techniques and supporting junior team members. Candidates should have 2–4 years of experience in data science or AI engineering and a strong command of Python and relevant libraries. This position offers a comprehensive benefits package, including generous holiday and private medical insurance ...

J.P. Morgan is seeking a Principal Software Engineer within the Applied Innovation (of AI) Engineering team in the CDAO Technology Group. You will design, develop, deploy, and maintain advanced AI products, collaborating with software engineers, data engineers, and data scientists to deliver trusted solutions. You will contribute ...

Resources is seeking a Senior Software Engineer for an AI engineering organisation to deploy and optimise a leading open-source LLM inference engine across two core programmes: a scaling inference initiative and a high-assurance/regulatory environments initiative. You will work with Python and low-level languages ...

and implementation of AI capabilities within a Finance AI platform. This is a hands‐on technical leadership role focused on establishing scalable AI engineering patterns, accelerating delivery, and mentoring development teams. The ideal candidate will combine strong cloud‐native engineering expertise with practical experience building … frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards for AI observability, governance, security, and performance. Mentor engineers and provide technical leadership across ...

well-funded AI engineering organisation is hiring a Software Engineer to work on a new AI framework built for stringent control and compliance in highly regulated sectors (financial services, healthcare). It's a core part of a broader high-assurance programme, designed to make AI systems safe ...

brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering … Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms.This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context ...

brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java …/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol ...

brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps) and backend/service engineering (Java …/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol ...

comprising a couple of dozen engineers. You'll lead a talented, multidisciplinary group tackling some of the most consequential technology challenges in global financial intelligence — maintaining and evolving the systems that analysts and clients depend on today, while simultaneously building the next generation of platforms from a position … , Machine Learning, or a related technical field — or equivalent expertise demonstrated through impact What Would Make You Stand Out An ML or AI engineering background — if you've spent meaningful time building machine learning systems, training models, designing intelligent pipelines, or architecting AI-native applications, that depth ...

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 … activity• Presenting complex technical concepts credibly to both technical and non-technical stakeholdersAbout YouI’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 of the following ...

more value with greater quality and speed. This is a highly hands-on role. We are looking for someone who actively uses modern AI engineering tools every day and has practical experience delivering real software using agentic workflows. Responsibilities AI Engineering Enablement Lead the adoption … communication and presentation abilities. Comfortable working across multiple teams and disciplines. AI and Agentic Engineering Extensive hands-on experience with modern AI engineering tools such as Claude Code, Codex, Gemini, Cursor, Windsurf or equivalent. Experience designing and implementing agentic workflows into software delivery processes. Deep understanding ...

Responsibilities Lead the design and delivery of AI-enabled digital products, platforms, and services Provide technical leadership to front-end, back-end, and AI engineering teams Define and implement solution architecture, engineering standards, and best practices Drive the integration of Generative AI, LLMs, and machine learning … Support technical governance, architecture reviews, and delivery planning activities Essential Skills & Experience Significant experience in a Lead Engineer, Principal Engineer, Technical Lead, or AI Engineering Lead position Proven experience delivering AI-enabled products and services in complex enterprise environments Strong software engineering background across modern front ...

based decisioning logic — incorporating CLV and long-term customer value into prioritisation, not just short-term conversion Measurement frameworks and optimisation Define feature engineering requirements — knowing which signals, triggers, and contextual features drive predictive power in decisioning Architect real-time decisioning solutions integrating with CRM, CDP, and data … problem, starts building, ships, improves Experimental mindset — runs fast tests, learns from failure, iterates without ego Strong execution and delivery orientation Advanced AI engineering and Generative AI expertise Collaborative team player Curiosity and commitment to continuous learning #J-18808-Ljbffr ...

based decisioning logic — incorporating CLV and long-term customer value into prioritisation, not just short-term conversion Measurement frameworks and optimisation Define feature engineering requirements — knowing which signals, triggers, and contextual features drive predictive power in decisioning Architect real-time decisioning solutions integrating with CRM, CDP, and data … problem, starts building, ships, improves Experimental mindset — runs fast tests, learns from failure, iterates without ego Strong execution and delivery orientation Advanced AI engineering and Generative AI expertise Collaborative team player Curiosity and commitment to continuous learning About Accenture Accenture is a leading global professional services company that ...

variable regional requirements in the implementation of centralized enterprise assets. * Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines. * Practical experience designing, building and deploying AI agents using enterprise AI … models via APIs, including tool use, governed data access and emerging interoperability patterns such as the Model Context Protocol. * Strong understanding of generative AI engineering fundamentals, including: o Prompt engineering and context design. o Context engineering, retrieval-augmented generation (RAG), embeddings and vector search. ...

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 … idea through to delivery. You'll come from a Data Science or Machine Learning background but will also have developed strong capabilities across AI engineering, data engineering and enterprise infrastructure. Equally comfortable discussing strategy with senior stakeholders or building production AI solutions, you'll enjoy collaborating ...

reliability of deployed applications.Lead the architecture and development of new products and features from 0 to 1.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.8 years of software development experience, including system design, data structures … passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI.Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing ...