26 to 42 of 42 Artificial Intelligence Engineering Jobs in Central London

Fruition Group seeks a technically fearless leader to act as a startup CTO within a small pod, owning end-to-end technical delivery for client engagements. You’ll be embedded with client teams, scoping, designing ...

delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core … engineers. Technical Environment We don’t hire to a narrow checklist, but candidates should be excited to grow in a modern, enterprise‐scale engineering environment with a focus on agentic AI. Core engineering stack Languages: Python, Go, TypeScript Cloud and infrastructure: AWS and/ ...

Date Sunday 06 September 2026 Salary Range £84,624 - £126,936 We support flexible working – Job Title Lead Engineer – Advanced AI Engineering Location Bristol, Edinburgh, Leeds, London or Manchester Working Pattern Our work style is hybrid, which involves spending at least two days per week … time, at our office location. About this Opportunity We are looking for Lead Engineers to join our new Advanced AI Engineering team. You will combine applied research and solution development to create effective solutions to critical AI business challenges, building operational MVPs that our engineering teams ...

partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions Lead strategic AI PS initiatives, practice development … equivalent practical experience Preferred Experience in a customer-facing consulting or professional services leadership role Experience working with Databricks The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build ...

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 ...

which keeps the calibre bar high and the work real from week one. We are recruiting across six tracks: Software Engineering AI Engineering M&A (Origination and Execution) Finance (Accounting and FP&A) Marketing Sales and Growth Value Creation and Portfolio Management You apply once ...

around the world. We're one global team driven by our common purpose to deliver a better world. Join us. In AECOM's AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings … waste, cutting CO , and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact. With our AI Engineering team we've created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed ...

build rather than maintaining someone else's. You'll work in a mixed team of engineers from several suppliers, alongside a dedicated AI engineering capability. The platform combines Python/FastAPI services, React and TypeScript interfaces, Camunda workflow orchestration, modular services, data persistence, and integration with existing Defence … focus of the platform, this is primarily a software engineering role. What you'll need Significant experience delivering software in MOD, Defence Intelligence, National Security or comparable secure environments Proven experience leading agile development teams Strong engineering background across Python, FastAPI, REST APIs, React ...

Ernst & Young seeks an experienced AI engineering leader to drive production-grade AI systems across regulated sectors. You will guide squads, shape architectures, and ensure reliability, observability and security in complex client environments. You will work with Microsoft/OpenAI via Azure OpenAI Service, mentor engineers, establish reusable … accelerators, and contribute to EY's engineering academy while advancing responsible AI practices. #J-18808-Ljbffr ...

them with our engineering partners, and own the product and engineering requirements — drawing on Risk, Security, Legal, Compliance, Responsible AI, Engineering and partner product teams as stakeholders. We'll trust you to Own the enterprise controls, compliance and administrative-policy experience for the Bloomberg … coherent set of controls. Own the product and engineering requirements for this layer, drawing input from Risk, Security, Legal, Compliance, Responsible AI, Engineering and partner product teams. Ensure controls and policies respect existing contractual rights and applicable regulation, in partnership with Legal and Compliance. ...

annual bonus Pay Frequency: Monthly Probationary Period: 180 days Work Arrangement: Hybrid, 3-days per week RESPONSIBILITIES: Owning and evolving Corestream, Kharon's risk intelligence feed — a dynamic platform that surfaces entity-level insights and topic-based risk narratives to customers Redesigning and improving Kharon's semantic search capabilities … interest or experience in global security, financial crimes, sanctions, export controls, or related domains 3+ years of experience in a Data Science or AI Engineering role Hands-on experience with semantic search — including familiarity with BM25, vector search, reranking, and retrieval evaluation Experience with RAG pipelines and working ...

maintain the detection content that security operation teams depend on, and hunt proactively for threats that existing controls do not catch, working alongside threat intelligence, incident response, and red team functions to keep coverage grounded in real adversary behavior. Responsibilities Detection Engineering - Design, build, test, and maintain … pipeline based deployment Structured hunting methodologies such as PEAK or TaHiTI, and experience hunting against a documented backlog rather than ad hoc Applied AI engineering in a security context, including use or development of LLM assisted tooling for triage, enrichment, rule drafting, or log summarization, together with ...

ASOS.com Ltd. is seeking a Senior Engineering Lead to build and lead an AI engineering team for FinTech and Fashion Tech. You will line manage and grow AI Engineers, build production-ready agentic AI solutions, and remain hands-on when coding is required. You’ll work ...

Databricks, Inc. is seeking a world-class leader to build and grow the EMEA Forward Deployed AI Engineering team. You will lead customers through AI/ML transformations, push our product frontier, recruit and develop top data scientists and ML engineers, and manage a portfolio of key EMEA ...

make a difference, and then build the thing? Because that’s what this role is really about. You’ll join a fast-growing AI engineering company that embeds small technical teams directly inside its clients. You won’t spend months working from a perfectly written product specification. Instead … quickly. Watching how real users interact with it. Iterating until it genuinely solves the problem. You’ll be expected to move comfortably between engineering and communication. One minute you might be deep in the codebase. The next, you’ll be explaining to a non-technical stakeholder what ...

engage with their customers. For decades, consumer behaviour has largely been modelled using familiar transactional, demographic and behavioural data. The next generation of customer intelligence will be powered by a much broader universe of contextual data, unstructured information and emerging signals. The successful individual will help the organisation determine … raises several defining questions: What should a world-class Data Science organisation look like in an AI-enabled business? How will Data Science, AI Engineering and MLOps converge? Which new forms of data will transform customer understanding? What infrastructure and operating model will be required ...

brands including Nike, Rolls‐Royce, Samsung, Airbnb, and Google. You’ll be at the forefront of AI‐powered product design, helping redefine how creativity, intelligence, and empathy coexist in every interaction. ROLE REQUIREMENTS Lead concept, design … delivery of world‐class digital products and connected experiences that define new standards for creativity and usability. Partner with UX, Creative Technology, and AI Engineering teams to shape AI‐native interfaces, generative UI systems, and adaptive design components. Establish and evolve brand‐led design systems that perform across ...