76 to 100 of 124 Artificial Intelligence Engineering Jobs in London

Will Be Doing: Design and deliver enterprise-scale solutions on Palantir Foundry Build data pipelines, ontologies, and operational applications Develop data products and decision intelligence tools used day-to-day Translate complex operational problems into scalable technical solutions Contribute to platform architecture and engineering best practices Work … users rely on daily Turning fragmented data into actionable insights Driving operational efficiency and business impact Helping build a best-in-class Palantir & AI engineering capability Why Join? Be part of a growing, strategic Data & AI team Work on cutting-edge Palantir and AI platforms Shape the direction ...

innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production … Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will ...

identifying where LLMs create genuine product value versus where they introduce risk. This role sits at the intersection of business, data, and AI engineering – and requires someone who can operate fluently across all three. Own end-to-end product delivery for assigned AI initiatives – from use case definition … through to deployment and iteration Work hands‐on with LOB stakeholders and engineering to define requirements, validate AI outputs, and ensure solutions are fit for purpose Contribute to backlog prioritization and sprint planning alongside Product Owners and engineering leads Evaluate and document AI model behavior, edge ...

identifying where LLMs create genuine product value versus where they introduce risk. This role sits at the intersection of business, data, and AI engineering - and requires someone who can operate fluently across all three. Own end-to-end product delivery for assigned AI initiatives - from use case definition … through to deployment and iteration Work hands-on with LOB stakeholders and engineering to define requirements, validate AI outputs, and ensure solutions are fit for purpose Contribute to backlog prioritization and sprint planning alongside Product Owners and engineering leads Evaluate and document AI model behavior, edge ...

regulated financial environment? This is a genuinely exciting opportunity to join a top banking organisation investing heavily in automation, AI and next-generation engineering capabilities. You'll be building full-stack applications, AI-powered tools, automations and workflow solutions that directly improve business operations and user productivity across … AI workflows Locally hosted open-source LLMs Microsoft Power Platform LangChain, LangGraph, Semantic Kernel & Copilot Studio exposure Why this role stands out: Real AI engineering projects - not just 'AI strategy' Opportunity to work with cutting-edge agentic AI technologies High visibility role working closely with Front Office ...

grow and advance. Accenture’s 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 Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability … operate always-on enterprises. Build essential data platforms, products, and capabilities that empower clients and colleagues. Set and implement the strategic vision for Applied Intelligence’s data ecosystem, including data science and engineering. Assess generative AI proposals, ensuring alignment with client needs, evaluating feasibility, stack compatibility, and build ...

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. ...

innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production … Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will ...

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 ...

From enterprise to government, we help visionary organisations turn strategic ambitions into results at scale. Our practices cover AI transformation, data platforms, systems engineering advanced CX and experience design. Softwire was founded on one simple idea: if we can create the best possible culture and working environment then … strong senior engineer/tech lead type who can bring AI into delivery teams in two ways: Using AI tooling to improve engineering productivity across whole teams (e.g. coding assistants, test generation, code review support, documentation acceleration, internal dev workflows) Building products and platforms that incorporate AI/ ...

Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation … Computer Science, Engineering, or a related field, or equivalent practical experience What to expect First 30 days Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent ...

Software Engineer to join a growing multidisciplinary team delivering innovative AI-enabled products within a government-focused environment. This is a hands-on engineering role suited to candidates with strong full-stack development experience who are comfortable working across the entire software lifecycle, from product development through … AI safety, AI evaluation methodologies or educational technology. * Experience working closely with data science, AI or machine learning teams. * Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

Software Engineer to join a growing multidisciplinary team delivering innovative AI-enabled products within a government-focused environment. This is a hands-on engineering role suited to candidates with strong full-stack development experience who are comfortable working across the entire software lifecycle, from product development through … AI safety, AI evaluation methodologies or educational technology.* Experience working closely with data science, AI or machine learning teams.* Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

Senior Software Developer, AI Engineering (London) – COR7550 Are you a Software Engineer with a passion for AI and building scalable systems from the ground up? This is a rare opportunity to join as an early member, shaping both the technology and the engineering of an ambitious … with the ability to design and deliver production‐ready systems Familiarity with modern technologies such as Python, TypeScript, React, and PostgreSQL Experience with AI engineering, data engineering, and cloud‐based SaaS infrastructure are all highly beneficial A proactive, solution‐focused mindset, with the ability to take ...

shared ownership as we redefine how global commerce works. About the Role As Senior/Lead ML Engineer (Recommendations), you will own the intelligence behind what Swap's AI Storefront shows to every shopper. This is a deeply technical, hands‐on role at the intersection of recommendation systems, LLMs … best practices for offline and online evaluation of recommendation quality, including metrics for relevance, diversity, novelty, and style coherence. Collaborate closely with product, AI engineering, and design to shape how recommendations surface across the AI Storefront, from conversational flows to visual discovery experiences. Explore and integrate signals from ...

Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing. Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation. Set global standards for AI platforms, toolchains … reference architectures and integration patterns through to production rollout and adoption. Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation. Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data ...

leadership. At JPMorganChase, we value your vision and empower you to push the boundaries of what’s possible. Job Summary As an AI Engineering Director within LLM Suite engineering, AI/ML & Data Platforms team at JPMorganChase, you will lead a group of experts to develop … build production-grade AI systems, including agents, harnesses, skills, memory architectures, guardrails, and tool-use workflows. Architect and implement retrieval and context-engineering patterns such as embeddings, semantic search, grounding, summarization, and prompt/version management. Engineer cloud-native AI platforms on AWS using ECS, EKS, Lambda ...

Engineering Lead | Software Manager | Founding Engineer Python - Agentic AI - FastAPI - CI/CD Fully Remote …/Europe) A small and talented team of talented engineers & data scientists are quietly building something interesting. Well-backed and operating in the AI engineering space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade ...

someone who enjoys building software, solving complex technical problems and working with emerging technologies. You’ll work at the intersection of software engineering, AI and product development, creating production-grade applications that leverage LLMs, agentic workflows and modern AI frameworks to solve real business challenges. Role Overview Join … concepts into production Opportunity to help shape the future direction of AI within a fast-growing business Exposure to a wide variety of AI, engineering and product challenges Responsibilties Design, build and deploy production-grade AI applications and services Develop intelligent workflows using LLMs, agentic architectures and orchestration ...

grow your career, give back to your community and make a real impact.**Job Overview**We are Citi’s Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining … greatest in the Kubernetes ecosystem. Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you’re proud of in your application. Ideally these projects should show off complex and clever architectures ...

AI Engineer You will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production‐grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross … delivering AI capabilities (e.g., agents, RAG pipelines) that meet enterprise standards for reliability, security and observability. Strengthen your foundations through the Applied AI Engineering Academy while taking on more responsibility for solution shaping and stakeholder engagement. EY Grade: Senior Consultant (UK) What you’ll do Collaborate with business ...

exceptional private equity investment business that has recently made a major investment into AI and technology, including hiring a Global Head of AI Engineering to build and lead the function. As part of this growth, they are looking to hire both a Senior AI Engineer and a Lead … influence architecture, tooling, technical direction, use cases and long-term strategy from day one. The environment itself is highly technical, intellectually strong and engineering-led, with significant buy-in from leadership and investment into modern tooling and infrastructure. The Role Depending on level, responsibilities are likely to include ...

logical guardrails, metrics, and workflows for autonomous AI agents. You will act as the vital bridge between complex enterprise processes and our AI engineering teams. Key Responsibilities 1. Workflow Orchestration & Deconstruction Deconstruct workflows: Break down complex human processes into structured agent instructions. Map state transitions: Outline the iterative … Technical Knowledge Agentic Frameworks: Basic knowledge of orchestration ecosystems like LangChain, AutoGen, or CrewAI. LLM Foundations: Strong grasp of Large Language Models, prompt engineering, and semantic memory patterns. Tool-Use Integration: Clear understanding of function calling, data pipelines, and external API connectors. Business Analysis Expertise Agile Frameworks: Proven ...

real‐time trading decisions, while mentoring teams and driving client relationships at the highest level. You will go toe‐to‐toe with senior engineering stakeholders in fast‐paced trading environments, influencing architecture, operating models, and data strategy. Key Responsibilities: Technical Leadership Architect and deploy complex, distributed systems, with … Additional experience that would be useful but not required includes Kubernetes, pricing & risk engines, working with quants, emerging technologies like AI in trading, AI engineering Why Indicium AI Fast‐growing start‐up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus ...

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 ...