25 of 25 Artificial Intelligence Engineering Jobs in the City of London

Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title … Artificial Intelligence AI Engineering Manager Team: Core AI/Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; £(phone number removed) base ...

Cloud & AI Engineering Instructor London | 4 days onsite | £100,000–£120,000 + benefits Omnis is partnering with an established UK technology consultancy that is building out a modern engineering academy focused on cloud, DevOps, platform engineering and AI-assisted software delivery. This … traditional classroom trainer role. We are looking for someone with genuine hands-on engineering credibility who can help shape how early-career engineers are trained before moving into enterprise client environments. The role will cover: Cloud engineering across AWS, Azure and/or GCP DevOps ...

join its AI & Data Financial Services practice, focused exclusively on AI transformation within Banking . This role sits within a high-performing engineering and delivery team helping major banks design, build, and scale AI-powered systems, agentic applications, and modern data platforms . You will work across … operationalisation of GenAI solutions supporting the modernisation of core banking systems through advanced machine learning and generative AI. The role blends hands-on engineering, solution design, and client-facing delivery , with increasing leadership responsibility at Manager level. Key Responsibilities Translate banking client requirements into AI architecture strategies ...

Engineer (Audit Technology) Location: London/Manchester/Leeds/Glasgow (hybrid, flexible working available) Job Type: Permanent, Full-time Sector: Technology/AI Engineering/Professional Services About the Company Our client is a Big 4 professional services firm whose Audit Technology team is at the forefront … recent years and is building some genuinely exciting products at scale. The Role As Lead AI Engineer you will report to the AI Engineering Squad Lead and take ownership of the technical delivery of AI projects within your squad. From proof-of-concept through to enterprise-grade production ...

role with leadership responsibility, focused on building and scaling AI-powered products and services using Generative AI, Agentic AI, and modern AI engineering practices. You'll work closely with engineering, platform, data, and product teams to design, develop, and deploy production-grade AI capabilities … backend integrations Work closely with Data Engineers, Platform Engineers, Architects, and Product teams to deliver AI solutions into production Lead technical delivery across AI engineering initiatives Mentor and support junior engineers within the team Contribute to engineering standards, reusable patterns, and AI best practices Help shape ...

London, currently disrupting the finance and investments markets. Having recently closed a record-breaking Series A they are now scaling a world-class AI engineering function. You'll be building production-ready agentic AI systems for the investment and financial services markets, designed to handle complex, high-impact … this market, directly contributing to the success and growth of the business at this early stage, working amongst the most exceptional peers in engineering and infra. This suits high agency, high-performing individuals with an interest in owning part of the product and the growth of the company. ...

635.63pd Umbrella Rate We're seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve … must be hit-the-ground-running at a senior level; the team does not have the capacity to train on core Azure mechanics. AI Engineering (Beyond the Basics): Real-world enterprise experience designing and deploying solutions centred around agentic workflows, Retrieval-Augmented Generation (RAG), and vectorisation patterns, rather ...

design sessions Translate business challenges into AI-led solutions Advise stakeholders on AI strategy, feasibility, and roadmap Leadership: Guide and mentor AI/engineering teams Set best practices across MLOps/LLMOps/AI governance Contribute to reusable frameworks and accelerators What youll need (must-have): Experience ...

AI integration, and financial domain expertise to deliver enterprise-grade solutions across use cases such as: Risk analytics & fraud detection Regulatory compliance automation Document intelligence (KYC, contracts, trade docs) Customer insights & conversational AI You will work on cutting-edge technologies including LLMs, vector databases, RAG architectures, and cloud-native … reliability Collaborate with business teams, ensure compliance, and mentor teams on best practices Your Skills: 7+ years in data engineering or AI engineering with strong Python and SQL expertise Experience with LLM frameworks (LangChain, LlamaIndex) and vector databases Hands-on with distributed computing (Spark, Databricks ...

Significant experience in UK Financial Services . Expertise in automated adversarial testing and evaluation at scale. Ability to bridge the gap between complex AI engineering and rigid regulatory requirements. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

Significant experience in UK Financial Services . Expertise in automated adversarial testing and evaluation at scale. Ability to bridge the gap between complex AI engineering and rigid regulatory requirements. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

Title : Senior AI Platform Engineering Lead - Agentic SDLC Automation Location : London, UK - Hybrid 2 to 3 days Rate : 380 per day 1. The Role We are looking for an experienced AI Platform Engineering Lead to design, build, and operationalise an enterprise Agentic AI Harness that enables … .NET code deployable into an Azure cloud environment . This role is ideal for someone with strong software engineering experience, practical AI engineering skills, and a deep understanding of modern DevOps, cloud-native architecture, and enterprise-grade application delivery. 2. Tech Skills Required The candidate should ...

they need clear ownership, stronger governance, and a defined long-term direction. You'll work with senior stakeholders across finance, data science, AI engineering, and non-technical teams to ensure data can be accessed and used safely, while meeting regulatory and risk expectations. You'll line-manage ...

technical leadership, engaging with clients, and shaping high-level designs to deliver critical business outcomes. The ideal candidate will have strong experience in AI engineering and data platforms, including Databricks and Azure services, along with excellent communication skills and the ability to influence C-level clients. #J ...

want to be part of a growing AI Engineering team where you can shape solutions, experiment with new ideas and help others grow along the way? As a Senior AI Engineer, youll play a key role within our Data and AI Practice, contributing to the design, development ...

+ Benefits, Training & Bonus Package Full Time | Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant/Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design … technical stakeholders to deliver measurable business value * Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/ ...

cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines … evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure ...

implementation of AI harness engineering ecosystems and agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster … Experience in providing solutions using Agent Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents ...

design of conversational and AI-powered experiences across customer and colleague journeys. You'll work at the intersection of Design, Product, Data, Engineering, and AI, helping shape how users interact with intelligent systems while ensuring experiences are intuitive, trustworthy, and outcome-focused. Key Responsibilities Design … AI-powered digital products. Expert understanding of conversational design frameworks, prompt design, and dialogue management. Experience working alongside Machine Learning, Data Science, or AI Engineering teams. Strong analytical mindset with experience using data and experimentation to drive decisions. Knowledge of AI governance, explainability, trust, and responsible AI principles. ...

want to be part of a growing AI Engineering team where you can shape solutions, experiment with new ideas and help others grow along the way? As a Senior AI Engineer, youll play a key role within our Data and AI Practice, contributing to the design, development … scalable and reliable AI solutions using cloud-native engineering approaches. Sharing knowledge, mentoring colleagues and contributing positively to the wider AI Engineering community. What youll bring: A strong understanding of AI, machine learning and agent-based AI concepts, including Retrieval Augmented Generation (RAG), multi-agent systems ...

data use across enterprises. Capable of creating design artifacts and presenting them for approval at architectural forums attended by multi‐disciplined stakeholders from engineering to senior client executives. In‐depth understanding of modern Data & AI capabilities such as structured and unstructured data analysis, streaming data, IoT, AI, GenAI … sales and business development opportunities with clients. Qualifications Hold Databricks certifications, ideally the Databricks Champion or equivalent knowledge and experience. Strong experience in AI engineering, data platforms, reporting, and self‐serve analytics. Experience designing and delivering large enterprise data platforms using Databricks and Azure services. Proven ability ...

real-world problems into practical ML solutions Comfortable taking models from research into production Educated to degree level (or higher) in ML, Physics, Engineering, Mathematics or a related field Nice to Have Control systems, optimisation or simulation experience Federated Learning, Edge AI or Distributed ML Digital twins, thermodynamics …/PhD or published research in a relevant field Ideal Profile Someone who enjoys solving hard, real-world problems at the intersection of AI, engineering and physical systems. ...

will define how AI is designed, built, and operationalised across the organisation. The successful candidate will shape the operating model, lead platform and engineering strategy, and ensure AI is embedded into real business workflows across operations, customer experience, and marketing. This is a hands-on enterprise … leadership role focused on productionising AI at scale and driving adoption across the business. Key Responsibilities/Experience Build and lead a central AI engineering function, including defining structure, operating model, and delivery standards Own end-to-end delivery of scalable AI solutions across enterprise platforms (including Databricks ...

Senior/Mid-Level Databricks Engineers – AI & Intelligence Programme 🚀 📍 London Hybrid (1-2 days/week) 📅 End of June start - 6 month contract 💰 IR35 pending I'm working with a consultancy who have secured a large piece of work on an intelligence platform project, focused on building next … Databricks ecosystem, including: 🔑 Databricks/Lakehouse environments 🔑 Unity Catalog 🔑 Medallion architecture 🔑 Agentic AI capabilities 🔑 Model serving & operationalisation within Databricks 🔑 Knowledge graphs/ontologies 🔑 AI Engineering with strong Databricks foundations Key Experience 🎯 Strong Databricks engineering experience 🎯 Consultancy experience beneficial 🎯 Databricks certifications desirable 🎯 Exposure to enterprise AI/ ...

needs, and providing the strategic guidance that helps take them to the next level. You'll also work directly with Pixis' in-house AI engineering team, influencing product improvements, contributing ideas for new initiatives, and being among the first to test the latest in AI-enabled advertising technology. … opportunities and work with clients to expand the scope of their Copilot programs – Feed product insights and client feedback directly to the Pixis AI engineering team to shape future development – Collaborate with our AI engineering team to design and build agentic support for account management —defining ...