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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Deloitte - **Location:** Edinburgh, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Component-Based Software Engineering, Automation of Tests, Microsoft Azure, Continuous Integration, Information Engineering, DevOps, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Scikit Learn, Data Analytics, Machine Learning Operations, Software Version Control, Data Pipelines, Serverless Computing, Programming Languages - **Published:** July 31, 2026 - **Apply:** https://apply.deloitte.co.uk/UKCareers/Login?jobId=24435 ## About the Role * Degree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline. * Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment. * Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both business and technical stakeholders. * Demonstrated ability to translate business requirements into technical solutions and deliver measurable outcomes. * Experience working within secure or regulated environments is advantageous; candidates must be eligible and willing to obtain or hold security clearance as required for client engagements. BUSINESS & AI PROFICIENCY * Strong proficiency in Python or similar programming languages used for AI and data engineering, with hands-on experience building production-grade solutions. * Experience with machine learning frameworks and tools (e.g., PyTorch, TensorFlow, scikit-learn) and practical implementation of model development and deployment. * Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation and evaluation approaches. * Experience with MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing. * Experience deploying AI solutions on cloud platforms such as Azure, AWS or GCP, using cloud-native services for scalability and resilience. * Strong stakeholder management, communication and problem-solving skills, with the ability to explain technical concepts and influence both technical and non-technical audiences. ## Description We are seeking to hire experienced AI Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte's Engineering, AI & Data service offering. You will work alongside clients, third parties and Deloitte teams across the Firm, supporting Security & Justice organisations to design, build and scale AI and Generative AI solutions. This is a client-facing Manager role where you will combine hands-on engineering with ownership of delivery workstreams, stakeholder management and translation of business needs into scalable technical solutions. As an AI Engineer, you will play a key role in shaping and delivering AI solutions within complex environments. In this role, you may be expected to: * Own the delivery of AI engineering workstreams, ensuring solutions are designed, built and delivered in line with client objectives, timelines and quality expectations. * Work closely with client stakeholders to understand operational challenges and translate them into scalable AI and data-driven solution architectures. * Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant. * Drive the operationalisation of AI solutions using modern engineering and MLOps practices, including CI/CD, model monitoring, testing and lifecycle management. * Ensure solutions are developed in line with security, privacy, governance and responsible AI requirements, particularly within highly regulated and secure environments. * Collaborate with architects, data scientists, engineers and business analysts to integrate AI solutions into broader enterprise systems and delivery programmes. * Manage stakeholders and contribute to delivery leadership activities, including reporting progress, managing risks and supporting junior team members. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)