26 to 50 of 71 Artificial Intelligence Engineering Jobs in London

Azure or GCP) DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps Customer-facing technical delivery experience Background in Machine Learning, Data Science or AI Engineering This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping ...

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. ...

research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems … systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 7+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with ...

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 ...

alpha generation. You will be working directly with front office users who sit on the desk. You will be using Python and AI engineering techniques to pioneer something at the forefront of the market, with a globally renowned hedge fund. Multiple hires at multiple experience levels on offer. ...

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 ...

growing Data and AI function at a pivotal moment. You will play a key role in building production-ready AI systems, shaping engineering standards, and driving high-impact automation projects with direct influence on business performance. The Company They are a tech-led insurance provider with a strong … days a week in either London (South West) or Sheffield. * Clear impact on product performance and business outcomes. * Opportunities to shape an emerging AI engineering function. * Long-term career growth as the AI team scales. How to Apply Please apply with your CV to register your interest ...

total package Bonus + cash benefits included Hybrid working model 3 days per week on site Market-leading training and certifications across AI, engineering and leadership A clear progression pathway into senior strategic and leadership roles Access to large-scale enterprise AI projects and next-gen tooling Innovation ...

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 ...

working on production grade LLM based applications Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring Data engineering - scaled data pipelines using python ...

research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems … responsible use of AI systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 5+ years in applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with ...

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. ...

Engineer who will report to the Director of AI Engineering. This role will be a subject matter expert for applied AI within our Engineering organisation. This role suits a hands‐on team lead who builds and ships customer‐facing, production‐grade AI, solving complex problems, shaping long‐term … caching, token/latency budgets; SLOs (e.g., p95 latency, availability) The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred ...

prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production‐ready AI and Generative … level of ownership from discovery through production and iterative improvement. The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred ...

plus benefits. This is an exciting opportunity to join a fast-scaling data and machine learning function, working at the intersection of AI engineering, product innovation, and advanced analytics. You will help deliver customer-facing AI features, internal automation, and traditional ML models within a modern cloud environment. … business known for combining retail excellence with innovative digital products. Their data science and ML engineering teams power personalisation, automation, and business intelligence for a large amount of users. With strong investment, an ambitious product roadmap, and a culture that embraces experimentation, this is a place where ...

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. ...

2years+ working on production grade LLM based applications AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring Nice to haves Responsible AI - strong understanding of AI ...

process, please let us know. Why This Role Matters Design and Innovate, Enable and Empower, Transform and Scale. This is more than an engineering role—it’s a strategic enabler. You’ll design and deploy advanced AI architectures, foster adoption through enablement programs, and act as a trusted … data governance. Preferred: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 1+ years of experience in AI engineering (in-house or consulting). Strategic mindset with ability to turn vision into actionable steps. Benefits and Perks Join us for a rewarding ...