Artificial Intelligence Engineer

Role: AI/MLOps Lead Engineer Location: London, UK Mode: Hybrid Type: Permanent/Contract Job Description :Job Description: Machine Learning Operations (MLOps) and AI Engineering Capability Lead (C L) Purpose of the J * ob Owns end‑to‑end outcomes to translate validated AI opportunities into reliable, trusted AI products in production that deliver sustained business value at scale through direct hands‑on engineering leadership and expert technical contributi * on.Ensures AI solutions are production‑ready and fit for business use, covering security, explainability, observability, performance, and ongoing reliability beyond experimentati * on.Operates at the intersection of AI product delivery, AI engineering/MLOps platforms, and Responsible AI governance, enabling efficient and trustworthy progression from exploration to producti * on.Provides the engineering backbone to scale AI consistently across domains, embedding value realization, risk management, and operational integration from the sta rt. Business Complexity / Con * textOwns the AI Engineering and MLOps capability within Data \& Analytics, setting principles, standards, and best practices for IT and the wider commun * ity.Acts as AI Engineering solution authority for new AI initiatives, ensuring designs are production‑ready, scalable, and aligned with enterprise architecture, security, and Responsible AI standards, leading by example through direct technical contribut * ion.Accountable for a reliable and future‑proof AI platform, ensuring continuous operability, performance, and evolution in line with business needs and technology developme * nts.Leads the AI Engineering practice, guiding and coaching AI and ML engineers across global and decentralized teams; holds line management responsibility for a small core team and designs, builds, and reviews critical AI components and pipeli nes. Areas of responsibi * lity Data \& Analytics: Enterprise AI Engineering Capability (AI Products, MLOps, Innova tion) Main Accountabilities /Key Tasks:1. * ScopeDesigns, engineers, and troubleshoots complex and business‑critical AI components, reference architectures, and production pipelines, especially for complex or first‑of‑kind solu * tions.Delivers and scales AI Engineering and MLOps capabilities that enable reliable, secure, and scalable AI products to move from validated use cases into production across do * mains.Owns engineering quality and production readiness, ensuring AI solutions meet enterprise standards for reliability, performance, security, and compl * iance.Translates value levers into engineered outcomes by shaping AI initiatives into measurable product * goalsLeads the AI Engineering practice, combining hands‑on technical contribution with guidance and line management of the core AI Engineering team. 2. G * uidanceOwns the AI Engineering and MLOps capability within Data \& Analytics, providing clear technical direction and driving tactical and operational exe * cution.Ensures end‑to‑end alignment across platform, engineering, and business priorities through close collaboration with Data Engineering, Platform Engineering, and domain * teams.Prepares decision briefs and secures approvals through established governance forums, reporting progress, risks, and outcomes to D\&A lead ership. 3. Innovation \& Solution Ma * nagementTranslates strategy into production‑ready designs, execution plans, and working so * lutions.Leads hands‑on first‑time delivery of new AI solutions, establishing reusable engineering patterns fo * r scale.Drives continuous improvement and selective innovation, applying new technologies where they demonstrably deliver busines * s value.Stay ahead of emerging technologies and industry practices, while producing thought leadership position papers and selectively introducing innovation that creates measurable busines s value. 4. Strategy \& * PlanningDefines the vision and roadmap for the AI Engineering and MLOps capability within Global IT, Data \& A * nalytics.Translates value levers into engineered outcomes by shaping AI initiatives into measurable prod * uct goalsEnsures the AI platform remains performant, secure, and architecturally compliant, in collaboration with relevant capabilities and strategic partners. Critical Com petencies:1. * Knowledge Master’s degree in Computer Science or similar, with 10+ years of experience in Data \& Analytics, including AI Engineering, MLOps, and platform en * gineering.Deep hands‑on expertise in designing, building, and productionizing AI and advanced analytics solutions * at scale.Proven experience defining and executing technology roadmaps and evolving enterprise‑grade AI * platforms.Strong technical background on Azure data and AI platforms, including Databricks (Lakehouse), Azure Data Factory, ADLS, Azure Functions, and CI/CD with Azu * re DevOps.Demonstrable hands‑on experience with MLOps on Azure, including infrastructure, security, logging and monitoring, pipeline orchestration, data quality, and model obse * rvability.Solid understanding of Agile and DevOps ways of working, combined with experience in innovation, experimentation, and soluti on design. * 2. Skills Hands on technical problem ownership: able to diagnose complex engineering issues, design and implement robust solutions, and resolve production challenges * end to end.Strategic and product oriented mindset: makes and implements technical choices that connect engineering decisions to long term objectives and busines * s outcomes.Change and stakeholder leadership: able to influence, align, and drive adoption across teams and domains through clear communication and technical c * redibility.Innovation leadership: prototypes and engineers ideas into working solutions, managing technical risk while enabling experimentation a nd learning 3 * . Attitudes Collaborative and inspiring leader who sets the technical bar through hands on contribution and lead * s by exampleConfident * communicatorStrong focus on delivery and are passionate about creating excellent products and services that mee * t user needsYour enthusiasm will help you collaborate with, and inspire an expert team