24 of 24 Artificial Intelligence Engineering Jobs in the City of London

Artificial Intelligence Engineer London, Marylebone (Hybrid/Onsite) Competitive salary + significant equity Do you want to build the "Force Multiplier" for a £400B industry? We are at the forefront of the shift toward Agentic AI —systems that use reasoning loops to independently execute complex business processes. … will design and deploy sophisticated multi-agent systems, proving concepts through rapid prototyping and scaling them into production-grade solutions. Key Responsibilities: Agentic AI Engineering: Develop multi-agent systems using frameworks like LangGraph or CrewAI for autonomous research and automated coding. Advanced RAG & Memory: Build sophisticated Retrieval-Augmented ...

Join this rapidly scaling AI-native Fintech start-up that’s already raised a significant Series A and is now building its core AI engineering team . This is a career-defining role , and given the NOISE in the AI job market right now, this is the AI … ferocious pace = RAPID career growth for you. Experience required Educated to at least degree level in a relevant subject; Mathematics, Statistics, Machine Learning, Engineering, Science etc. 4+ years in AI/ML engineering with a foundation in software engineering OR a recent move from ...

broader Microsoft tooling. This role suits someone who is highly autonomous, delivery‐focused, and capable of handling a wide mix of early-stage engineering, documentation, prototyping and solution shaping This role is based in London. … This role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. What You’ll Be Doing: AI Engineering & Build Designing and building AI solutions using: Azure AI Foundry M365 Agents Copilot extensions/plugins Micro stack orchestratinsmkl1on Python as the primary ...

winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands-on individual contributor position, sitting … concepts • Design and implement RAG pipelines and agentic workflows • Define evaluation frameworks for LLM quality and response accuracy • Partner with product and engineering on chat flows and continuous improvement • Contribute to AI platform architecture and best practices • Mentor junior ML/AI engineers (no formal line management ...

senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval … client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: LLM applications using modern orchestration patterns, prompt ...

that go into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms. … career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your AI engineering career. ...

joining at a time where you a genuinely needed and can have an immediate impact! Their ideal candidate will have a software engineering background who is now an AI Engineer working with LLMs You will: Design and build LLM-powered applications Develop Python-based microservices Build AI agents … integration into applications, deployment and product ionisation Proficiency with python Having built microservices If you are interested in this or other AI Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

will be immediately valued and where you can make a meaningful impact from day one. The ideal candidate will come from a software engineering background and now be working as an AI Engineer with experience integrating LLMs into applications. You will: Design and develop applications powered by LLMs … integrating LLMs into applications, including deployment and product ionisation Strong Python skills Experience building microservices If you are interested in this or other AI Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

shape high‐value use cases. Drive best‐practice engineering and MLOps standards. Requirements Strong experience in ML engineering, AI engineering, or applied data science. Proven track record deploying AI/ML solutions into production. Expertise with ML frameworks (scikit‐learn, XGBoost, PyTorch, TensorFlow, LightGBM … . Solid experience with LLMs, prompt engineering, RAG, and evaluation. Strong software engineering and MLOps skills (CI/CD, containers, monitoring, model registries). Background in personalisation, recommendation systems, optimisation, CRM/marketing analytics, or conversational AI is beneficial. Please note: this role cannot provide VISA ...

Salary up to 85000 depending on experience. • Hybrid working, three days in the office. • The chance to grow quickly in a newly established AI engineering capability. • Access to industry leading expertise, tooling and enterprise scale AI projects. How to Apply Please apply with your CV and a consultant ...

degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. More than five years of advanced data science/AI engineering experience in industry. Proven experience delivering full-cycle AI software and deploying production-ready solutions. Strong proficiency in Python and core AI/… ability to provide strategic architectural guidance. Desired Skills and Experience: Experience in reliability, corrosion, WRFM (well and reservoir facility management), process engineering, or advanced sensing technologies. Exposure to downstream customer platforms and trading ERP systems. Experience with platforms such as Azure ML Studio, Foundry, and Databricks Mosaic. Familiarity ...

upsell opportunities, driving revenue growth and expanding market share. Platform engineering, microservices, reusable AI components, ontologies, knowledge graph engineering. Data and AI engineering, ML pipelines. Client analytics experience. AI-enhanced document and workflow automation on Cloud Enable agentic workflows, including automated processing of unstructured data … well as Gemini based skills, across client, product, and transaction lifecycles to improve responsiveness, operational efficiency, and control. GenAI/LLM capabilities, document intelligence, workflow automation, GCP migration expertise, CloudOps. ...

experience building production-grade LLM applications. Strong software engineering fundamentals, including microservices architecture, CI/CD pipelines, and event-driven architecture. AI Engineering experience including: RAG pipelines Prompt engineering Vertex AI LLMOps and monitoring/evaluation of AI systems Data Engineering experience ...

from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: Develop and prototype AI-driven solutions across customer-facing and internal applications. Build and optimise LLM-based assistants … pipelines , and agentic AI workflows . Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering). Partner with stakeholders to translate business needs into practical, intelligent systems. Mentor junior team members and contribute to the evolution of our AI tooling stack. This role ...

integrating data sources and AI outputs Translate stakeholder needs into practical technical delivery plans Own delivery quality: reliability, performance, observability, iteration Collaborate across engineering, data, operations, and product teams What they’re looking for 4-6+ years of industry experience Strong Python and SQL Hands-on GenAI … operating independently with real ownership Solid stakeholder management and ability to explain clearly to non-technical audiences DS background that has moved into AI engineering/LLM product delivery is ideal Bonus: Databricks, Azure, MLOps/CI-CD experience Interested? Please apply below. ...

AI team owns the full value chain from data engineering through to machine learning products. This role sits within a lean AI engineering function responsible for deploying production ML systems and scaling new GenAI capabilities across the business. This is a hands-on engineering … cloud-native ML infrastructure • Implement MLOps practices including CI/CD, monitoring and model lifecycle management • Work cross-functionally with product, data and engineering teams Key Details • Salary: up to £85k + 10% bonus • Working model: Hybrid London (2–3 days in office) • Tech stack: Python, GCP (preferred ...

grow and advance. Accentures Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accentures broader Strategy and Consulting practice, we are able to bring together the unique ability to drive … Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams and drive ...

London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead … code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads. Deep expertise in cloud‐native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‐tolerant systems. Nice-to-Haves: TypeScript a plus; SQL proficiency for data work. Bridges ...

AI/ML platform capabilities, and drive seamless integration with core enterprise systems. The ideal candidate combines deep cloud architecture expertise, strong data engineering and AI/ML platform experience, and the ability to translate complex business needs into robust, future-ready technical solutions. Location: London Contract: Until … with enterprise standards. Support capacity planning, cost optimization, and risk assessments. Required Skills & Experience: 8-12+ years of experience in data/AI engineering or cloud architecture roles. Strong expertise with Databricks (Delta Lake, Unity Catalog, MLflow, Workflows). Deep understanding of AWS cloud architecture and services ...

into sequenced delivery plans, ensuring Generative AI initiatives are executed with pace, clarity, and production readiness. You'll sit at the intersection of AI engineering, platform, and product-providing disciplined execution oversight, structured QA visibility, and evidence-based release governance. Key duties in this dynamic role will include … signals to support informed go/no-go decisions. Ensure releases meet robustness, compliance, and regulatory standards. Act as the connective layer between engineering execution, quality oversight, and senior stakeholders. Required Experience Strong background in technical delivery leadership within engineering-led environments. Proven experience delivering complex ...

data-fetching patterns tight: React Query, typed API contracts, no mystery state Ship features end-to-end: you spec, build, test, and deploy AI Engineering Build compliance agents that validate candidate data and review documentation against regulatory requirements Implement browser automation for external verification portals, including selector resilience … shadcn/ui, Radix, or similar headless component libraries LLM-powered document processing or agentic systems LLM evaluation workflows and observability tooling Agentic Engineering experience (AGENTS.md, ADRs, declarative specs) B2B SaaS experience including multi-tenancy and webhooks How We Work Tests written before or alongside implementation Backend: FastAPI ...

allows these agents to be trained, evaluated, and continuously improved as they interact with real-world workflows. The company is now hiring an AI Engineering Manager (Agentic) to lead the development of this core platform and help define the architecture behind the next generation of intelligent automation systems. … This platform sits at the centre of how the company’s technology evolves. Every system built and every workflow automated contributes to improving the intelligence and capability of the platform. Building the right architecture will enable the product to scale efficiently while continuously improving over time. This role offers ...

They are seeking a Lead AI/Python Engineer to play a pivotal role in scaling their AI-driven platform and shaping the engineering culture of a high-growth SaaS business. The Role: This is a high-impact leadership role suited to a technically exceptional engineer … enjoys building production-grade AI systems, architecting scalable backend infrastructure, and mentoring high-performing teams. You will work cross-functionally with Product, AI, Engineering, and Design to deliver intelligent backend systems that directly impact customers and drive business growth. Key Responsibilities Architect, design, and build scalable backend systems ...

contributing to knowledge development. Responsibilities Ownership of analytical tasks Development of tools Building analytical & PM skills Contributing to Knowledge development Qualifications Quantitative degree (Engineering, Maths, Physics, CS, Stats, or similar) 3+ years professional experience building production-grade software/data solutions Required Skills Strong Python engineering … Fast learning of new technologies Preferred Skills UI development experience: React + JavaScript/TypeScript (or similar) Databases and data platform experience Some AI engineering experience Energy markets experience (useful, not required if you learn fast ...