26 to 50 of 56 Artificial Intelligence Engineering Jobs in the UK

communication between agents. Monitor, evaluate, and continuously improve agentic performance and reliability. Skills & Experience Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks … prompt engineering, and orchestration tools. Familiarity with APIs, databases, and cloud infrastructure (AWS, Azure, or GCP). Desirable: Experience in small, agile teams or start-up/SME environments. Knowledge of vector databases, RAG systems, or AI orchestration platforms. Interest in autonomous systems, cognitive architectures, or workflow automation. ...

with a product that's not only in the market gaining traction but is now revenue-generating. The role requires experience with software engineering (as opposed … data engineering, data science or research). You'll need fundamental backend engineering skills, as well as notable AI engineering more recently. The ideal candidate will come from a product company (as opposed to a consultancy) as the existing team value a product-minded ...

London – UK Residents only please – Sponsorship not available. Salary: £90k - £125k Build intelligent systems that transform how businesses operate. We're scaling our AI engineering team to meet demand from enterprise clients who need production-grade intelligent systems. This role combines deep technical work with strategic problem-solving … effectively. You collaborate without ego and obsess over safety and reliability. You bring 6-8 years of experience in software engineering, AI engineering, or applied data systems. You have substantial hands-on work with LLMs, embeddings, retrieval architectures, and vector stores. Experience with multi-agent systems ...

agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both enterprise outcomes and the firm’s long-term engineering capability. Responsibilities: You will design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi … data alignment. Integrations & automation , including API workflows, tools, and enterprise connectors. Skills: 6–8 years in Software/application engineering, AI engineering, or applied data engineering. Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores. Hands-on experience in multi-agent systems, agent orchestration ...

client, a global alternative capital investor, is building a dedicated AI Engineering capability to productise machine learning and deploy AI at scale across its organisation and portfolio ecosystem. As an AI Engineer, you'll take cutting-edge models — LLMs, NLP, multimodal — and turn them into secure, scalable … high-performing solutions that automate intelligence and enhance human judgement. What you'll build LLM-powered research copilots and knowledge automation tools NLP and retrieval-augmented generation (RAG) pipelines ML systems deployed with robust CI/CD and MLOps principles Cloud-native inference frameworks optimised for latency and scale ...

Ideal candidate: BSc, MSc, or PhD in a quantitative discipline (e.g., Maths, Physics, Computer Science). 4-5 years' experience in ML/AI engineering or data science roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with … elsewhere. Influence AI adoption from the ground floor for high-profile government clients. Join a collaborative team of over 4,000 digital, cyber, and intelligence specialists across multiple locations. Hybrid working flexibility, generous benefits, career development support, and a culture valuing diversity and inclusion. For further information, feel free ...

Title: Platform Engineering Lead Location: Bromley, UK Job Description: Required Skills: 15+ years' experience in building and maintaining applications with focus on performance, scalability, security, and reliability. 5+ years' experience overseeing enterprise-grade platform solutions Experience in a highly Agile continuous integration and continuous deployment environment, preferably within … build resilient, scalable and maintainable solutions Experience implementing best practices, optimizing performance, ensuring compliance with security standards, and providing leadership to the engineering team Strong verbal and written communication skills with the ability to delve in low level details with a technical audience and explain concepts ...

retrieval, and knowledge-driven AI systems for enterprise clients. They are hiring a Senior AI Engineer — a hands-on builder who combines deep AI engineering with product thinking to turn messy business problems into reliable, production-grade AI systems. You'll work in small senior teams, directly with … principles Ensure systems are maintainable, measurable, and reliable Build Reusable Capability Create accelerators, agent patterns, and technical templates Share research, tools, and emerging AI engineering practices Influence internal standards and architectures Experience Needed 6–8+ years in software, AI, or applied data engineering Strong hands ...

role: This is a rare opportunity to join a fast-growing, technology-driven manufacturer at the forefront of advanced battery systems. As our AI Engineering Apprentice, you will help shape the future of how ABT operates embedding AI into real production environments, engineering workflows, customer delivery … global operations. The role combines a degree-level apprenticeship with hands-on work implementing AI automation across the business. You will collaborate with Engineering, Quality, Production, Supply Chain, HR, Project Management, and Commercial teams to design, build, and deploy practical AI solutions that accelerate how ABT works. ...

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 ...

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 ...

Player safety & risk monitoring 🔹 Customer ops & support tooling 🔹 Internal agentic workflows that actually make us faster 🧠 What you bring Strong Python + backend engineering chops Proven experience shipping AI/ML/LLM systems into production Deep comfort with data, pipelines, APIs and ambiguity Solid grounding in responsible … MLOps + vector search + RAG = all welcome. 🚀 Why this is a career move Board-level support — pace, budgets, expectations Chance to define AI engineering standards for a global brand Fast loops → fast growth → fast impact You’ll build things that touch millions of customers A seat ...

enterprise-level senior leader who is pivotal in driving value through the application of AI technology across the Group. Reporting to the client AI Engineering Lead and aligned to the Group Head of Software Engineering, you will be accountable for ensuring technical designs and overarching technology … Monday to Friday. Shifts: Monday – Friday (37.5 hours per week) Experience and Skills Required: At least 10 years of experience working in Enterprise Engineering, working in complex environments, with a proven track record of delivering tangible value through technology Demonstrated ability to provide deep, hands-on technical leadership ...

client engagements at once, balancing delivery oversight, stakeholder alignment, and value creation. In this role, you'll serve as the vital link between AI engineering teams and executive stakeholders. You'll make sure clients see measurable progress—not just technical updates—while ensuring internal teams stay focused, aligned … resources proactively to maintain delivery momentum. Client Impact & Value Creation Focus on creating real, tangible progress for clients—not abstract technical activity. Translate engineering milestones into compelling business narratives that reinforce strategic value. Partner with client stakeholders to ensure outcomes align with their broader transformation goals. Support strategic ...

liquidity standards (LCR, NSFR, BCBS248, PRA/ECB reporting). Translate business needs into user stories and manage the product backlog. Collaborate with engineering teams to drive end-to-end delivery in an Agile environment. Support real-time liquidity tools related to payment schemes (SWIFT, CHAPS, SEPA, RTGS … treasury technology. Familiarity with cloud-based solutions or API-driven platforms. About Us: Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech ...

Head of Engineering, you'll shape our AI landscape across in-house software, SaaS, and cloud platforms, leading and empowering our AI Engineering teams. You'll collaborate with Product, Data, Operations, and C-suite leaders to unlock value, align AI strategy across the UK and lead … AI technologies, platforms, and tools. Ensure best practices in model development, deployment, and MLOps while cultivating deep partnerships with SaaS providers, in-house engineering teams and product management teams across the UK business. Collaborate with UK-wide business units to understand needs, translate them into AI solutions ...

vast volumes of real-world consumer data. The kind most companies only dream of. The challenge now isn't access. It's intelligence, creativity, and direction. You're being brought in to: Define how AI and ML are applied across customer data, not just execute pre-written ideas Influence … likely have: Strong experience working with large, complex customer or behavioural datasets Deep grounding in machine learning and statistical modelling Exposure to AI engineering, including production ML and LLM-based approaches The ability to translate technical work into product and commercial impact The confidence to challenge, influence ...

engineers, tech leads, and the CTO, you'll design systems that combine cutting-edge AI, strong infrastructure, and human-centred design. Experienced Required: AI Engineering Hands-on experience building complex, production-grade LLM-based systems across real-world use cases. Advanced prompt engineering skills, with … design custom evaluation frameworks that measure what truly matters. Experience designing agentic systems, including task decomposition, tool creation and orchestration, and reliability engineering for non-deterministic workflows. Actively engaged with the evolving AI ecosystem—tracking research, experimenting with new capabilities, and translating emerging ideas into practical solutions. Comfortable ...

maintain scalable and secure container platforms using OpenShift and Kubernetes Implement and manage service mesh architectures (e.g., Istio, Linkerd, or similar) Support release engineering and messaging systems such as RabbitMQ Develop and maintain RESTful APIs and services using Node.js Collaborate with DevOps teams to improve CI/… pipelines and platform reliability. About Us: Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity ...

capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML/AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable … business. Key responsibilities include: Operationalising ML models, including deployment, monitoring, retraining, and drift detection Acting as the bridge between Data Science and Engineering to productionise models Supporting a broad range of AI and ML initiatives, including: Revenue management and pricing optimisation Customer-facing AI products using LLMs ...

enterprise-grade delivery An internal AI capability that stays inside the business, not lost to vendors Who we're looking for Experience in AI engineering, automation, workflow engineering, or software development, with real projects shipped to production Hands-on experience building AI-powered products, not just … open-source models Experience with LLM orchestration frameworks and agent-based systems (e.g. LangChain, LlamaIndex, AutoGen, custom agent frameworks) Familiarity with prompt engineering, tool calling, retrieval-augmented generation (RAG), and multi-agent workflows Experience integrating AI into real systems, APIs, event-driven architectures, data pipelines, and automation platforms ...

regulatory bodies to ensure smooth implementation of payment solutions. About Us: Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief … improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges ...

newly established, high-growth technology venture backed by leading organisations in the consulting and investment sectors. They are building a top-tier engineering team and are seeking a Lead Software Engineer to help shape their technical direction from day one. What you’ll do: Work with business stakeholders … modern web frameworks, REST APIs, SQL/NoSQL and front-end technologies Experience with data-heavy systems and scalable architecture Understanding of cloud, AI engineering concepts, and DevOps practices Excellent communication and problem-solving skills Strong academic background in a technical field Why join: Immediate impact and real ...

newly established, high-growth technology venture backed by leading organisations in the consulting and investment sectors. They are building a top-tier engineering team and are seeking a Lead Software Engineer to help shape their technical direction from day one. What you'll do: Work with business stakeholders … modern web frameworks, REST APIs, SQL/NoSQL and front-end technologies Experience with data-heavy systems and scalable architecture Understanding of cloud, AI engineering concepts, and DevOps practices Excellent communication and problem-solving skills Strong academic background in a technical field (2:1 and above from ...

Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or related field ...