251 to 275 of 663 Artificial Intelligence Engineering Jobs in England

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 ...

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 ...

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 ...

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 Staff Software Engineer to help drive the architectural evolution of our platform as we scale ...

workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands-on work with model architectures, feature engineering, model optimisation, performance debugging, schema-aligned data preparation, and ML-driven interfaces. This is a role for engineers who want to build real models, ship … validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues throughout delivery. AI engineering Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using ...

technical expertise, helping clients design, modernise and scale data and AI platforms that deliver meaningful business outcomes. Working closely with senior stakeholders, engineering teams and business leaders, you'll play a key role in shaping data strategies, modern cloud architectures and next-generation AI capabilities. The Role … enterprise platforms. Advise clients on data strategy, platform architecture, governance, security and AI adoption. Drive best practices across data engineering, analytics, AI engineering and platform operations. Lead delivery teams and provide architectural guidance across complex transformation programmes. Implement robust data governance, security and compliance frameworks within ...

ensure production AI solutions remain stable, performant, compliant, and aligned to evolving business needs. This role acts as the central coordination point between AI engineering, Data Science & AI Delivery, Data Engineering, BTS, business stakeholders, and governance teams to ensure AI solutions continue to deliver measurable value … resolution of production issues affecting AI solutions. Manage defect remediation activities and oversee the delivery of code fixes through internal and partner engineering teams. Act as the primary point of coordination during major incidents impacting AI services. Ensure issues are identified, triaged, prioritised, communicated, and resolved effectively. Support ...

deliver AI-powered features in a regulated, customer-facing environment. This role offers mentorship and growth in LLMs, agentic systems, and production AI engineering, with a focus on reliability, security, and auditability within a financial #J-18808-Ljbffr ...

working with:As a QE AI Engineer & QE Architect, you will have the opportunity of joining an award winning Quality Engineering team that is working on some of the most cutting edge technologies that is embracing new innovations, such as in built quality checks that embraces AI/… technical stakeholders is a must.You will join a highly focused quality engineering team that are experts in driving a AI & agentic AI engineering led approach to driving value for our clients. You are responsible to ensure Shift-Left Testing emphasising early testing in the development lifecycle. ...

Leadership & Mentoring Although this is an individual contributor role, you'll have significant influence across projects and teams. You'll: Mentor engineers in AI engineering, system design, product thinking and agentic architectures. Set the technical and product standard on client engagements. Review work, raise engineering standards … opportunity to work on technology with meaningful real-world impact. Interested? If you're an experienced engineer who wants to combine hands-on AI engineering, product ownership and client leadership , this is an opportunity to have genuine ownership from problem definition through to production. Apply now with your ...

will work with engineers, PMs, and designers to design, build, and ship AI-powered features, growing depth in LLMs, agentic workflows, and production AI engineering in a regulated setting. #J-18808-Ljbffr ...

WeDoTech is seeking a Staff ML Engineer to lead the production machine learning and AI engineering efforts in London. The role focuses on scaling Agentic AI capabilities, establishing robust architectures and best practices, and guiding teams to build safe, reliable AI/ML solutions in production. You will ...

Shape and deliver transformational customer platform solutions for clients who want deeper understanding of how customers engage with their products and services Lead engineering teams across complex, multi-system agentic programmes Set technical standards, quality frameworks and architecture governance Ensure systems are designed for scalability, observability and compliance … Mentor engineers and grow technical capability within the practice Support sales, propositions and go-to-market activity Contribute to thought leadership on production AI engineering and agentic delivery Experience Required Significant hands-on engineering experience with a proven track record of building and running AI systems ...

delivering transformational customer platform solutions for clients who want deeper understanding of how customers engage with their products and services Contribute to engineering teams across complex, multi‐system agentic programmes Contribute to technical standards, quality frameworks and architecture governance Ensure systems are designed for scalability, observability and compliance … engineers and develop technical capability within the practice Contribute to sales, propositions and go‐to‐market activity Contribute to thought leadership on production AI engineering and agentic delivery Qualification Experience Required Solid hands‐on engineering experience with a track record of building AI systems, ideally with ...

delivering transformational customer platform solutions for clients who want deeper understanding of how customers engage with their products and services Contribute to engineering teams across complex, multi-system agentic programmes Contribute to technical standards, quality frameworks and architecture governance Ensure systems are designed for scalability, observability and compliance … engineers and develop technical capability within the practice Contribute to sales, propositions and go-to-market activity Contribute to thought leadership on production AI engineering and agentic delivery Experience Required Solid hands-on engineering experience with a track record of building AI systems, ideally with some ...

management Implement evaluation pipelines and observability frameworks using tools such as Langfuse, Arize or OpenTelemetry Contribute to architectural design decisions, code reviews and engineering standards for platform development Requirements Bachelor's or Master's degree in Computer Science, Engineering or related field (PhD is a plus … Practical experience delivering Generative AI or Agentic AI systems into production environments Expertise in Python engineering for APIs, microservices, testing and CI/CD workflows Strong working knowledge of LLM capabilities, including prompt design, structured outputs, tool calling and retrieval strategies Hands-on experience with agent orchestration frameworks ...