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AI Architect Up to £120k + Bonus + Benefits Remote (UK) | Occasional Client Travel Architect the Future of Enterprise AI AI is moving beyond experimentation and this consultancy is helping some of the UK's largest organisations turn AI ambition into real-world capability. We're looking for an experienced AI Architect to join a growing AI practice, designing and delivering secure, scalable and production-ready AI solutions across enterprise environments. This is a role for someone who understands that successful AI transformation requires more than selecting the latest models. It requires strong architecture, robust data foundations, governance, security, and the ability to translate emerging technologies into measurable business outcomes. Working across Generative AI, Agentic AI, Machine Learning and enterprise data platforms, you'll help organisations move from AI strategy and proof-of-concept through to scalable production adoption. You'll work closely with senior stakeholders, technical teams and delivery specialists to define AI architectures, establish best practices and shape how enterprise AI is built and deployed. This is not a role focused purely on governance or architecture documentation. You'll remain close to the technology, influencing design decisions, guiding delivery teams and helping build solutions that create genuine business impact. What You'll Be Doing You'll lead the architecture and delivery of enterprise AI solutions across the full lifecycle from discovery and strategy through to implementation and scale. Your responsibilities will include: • Designing enterprise-scale Generative AI, Agentic AI and Machine Learning architectures, • Creating AI solutions using Microsoft Foundry / Azure AI Foundry and Copilot Studio (essential), • Defining AI platforms, frameworks and reference architectures for large organisations, • Designing intelligent agent solutions, AI assistants and LLM-powered applications, • Developing secure and governed AI approaches aligned with Responsible AI principles, • Advising senior stakeholders on AI strategy, technology choices and investment decisions, • Supporting client engagements from early discovery through production deployment, • Creating reusable AI accelerators, patterns and delivery frameworks, • Providing technical leadership and guidance to engineering and delivery teams, • Supporting the continued growth and maturity of the AI consulting practice Technology Environment You'll work across a modern Microsoft-focused AI ecosystem including: • Microsoft Foundry / Azure AI Foundry (mandatory experience), • Microsoft Copilot Studio (mandatory experience), • Azure AI Services, • Azure OpenAI Service, • Microsoft Agent Framework, • Semantic Kernel, • Power Platform, • Enterprise Data Platforms, • Azure Machine Learning, • Retrieval-Augmented Generation (RAG), • Large Language Models (LLMs), • Agentic AI architectures, • LangChain / LangGraph, • MLOps & LLMOps, • Cloud-native architectures, • Data governance and security frameworks What We're Looking For You'll likely be operating as an AI Architect, Lead AI Consultant, Principal AI Engineer, Principal Data Scientist or similar senior AI leadership role. You'll bring: • Proven experience designing and delivering enterprise AI solutions in production environments, • Strong hands-on experience with Microsoft / Azure AI Foundry and Copilot Studio (essential), • Deep understanding of Generative AI, LLM architectures, RAG and AI agents, • Experience building AI solutions beyond proof-of-concept into scalable production services, • Strong Azure and Microsoft ecosystem expertise, • Experience with AI governance, security, data privacy and Responsible AI principles, • Understanding of modern data platforms and AI-ready data architectures, • Experience working with senior technical and business stakeholders, • Strong consulting skills with the ability to translate complex AI concepts into business outcomes, • The ability to provide technical leadership while remaining close to delivery Why This Opportunity Stands Out AI is not an experiment here it is a strategic investment area with executive sponsorship, significant client demand and a growing pipeline of enterprise transformation programmes. You'll have the opportunity to: • Work on complex AI challenges at enterprise scale, • Design solutions using the latest Microsoft AI technologies, • Influence AI adoption across major organisations, • Work alongside leading specialists across AI, data and cloud, • Shape reusable AI frameworks and best practices, • Continue developing your expertise through certifications, innovation and training The AI market is crowded with organisations experimenting, this opportunity is with a business that's already delivering. If you're ready to architect AI solutions that operate at enterprise scale and shape the next generation of intelligent systems, we'd love to hear from you. JBRP1_UKTJ

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£30k average starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £1499, 13 interest free monthly instalments of £130, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

This is a high-impact opportunity for an applied Machine Learning engineer to build simulation environments, frameworks, and tools that help shape the future of computing.

Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioningPartner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems. Experience building inte

The Opportunity:Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into

About the TeamThe ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. Experience with machine learning infrastructure, training systems, or model se

Senior Machine Learning Engineer. This is a hands-on engineering role focused on building and operating production machine learning systems rather than conducting pure research. As a Senior Machine Learning Engineer, you'll own critical ML systems from end to end, taking ideas from experimentation t

Build Python APIs using FastAPI or Flask to serve machine learning models. Most machine learning roles talk about building models. The company already has data scientists developing models; it now needs the engineering capability to deploy them properly, monitor them and make them usable across the

You’ve built and shipped CV‑focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). Wayve’s ADAS engineering teams build the perception and intelligence that power driver assistance in real‑world driving. We believe autonomy represents a once‑

As a Research Engineer within Reinforcement Learning, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models. Experience with machine‑learning frameworks (PyTorch, TensorFlow, JAX). Can balance research exploration with engineering imple

Research Engineer, Machine Learning (RL Velocity). Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Research Engineer on the team, you'll build and improve the core platform that underp

Graham Capital in Greater London is looking for a Machine Learning Engineer to join their Data Science team. Candidates should have at least 3 years of experience with Machine Learning on large data sets and proficiency in Python.

You’ll join the existing Risk Decisioning data science function here at Cleo; a thoughtful and collaborative team of ML engineers, analysts, and data engineers with significant industry experience that is at the heart of everything we do at Cleo. You’ll be working on a hugely impactful workstrea

As a Staff Machine Learning Engineer, you'll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to define the architecture, roadmap and engineering direction for the next generation of our platform. Mentor engineers and promote engineering

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. We are looking for researchers and software engineers who are passionate about developing machin

We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for tho

We are looking for an independent, dedicated Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Lear

Lead / Principal Machine Learning Engineer. The team partners with large corporates to build machine learning solutions that bring commercial value, automate decisions, and enhance resilience across business operations. Lead technical delivery across multiple applied machine learning projects, inclu

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real-world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. We are seeki

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‑world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. Master’s

Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety. Champion responsible AI practices, ensuring fairness, transparency, and user s

Principal Machine Learning Scientist. Machine learning for search, ranking, recommendations or personalisation. Principal Machine Learning Scientist.

Deep expertise in machine learning, with hands‑on experience building and deploying large‑scale systems in production environments. Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, deliveri

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. You can successfully manage and coa

Partner with product and engineering to translate problems into data‑driven systems. Contribute to technical direction and raise engineering standards. This is an early hire into a newly forming London engineering team.

By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Horizontally, you will

Machine Learning models, with a significant focus on reinforcement learning. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. Computer Science, Machine Lear

As a Staff ML Engineer on Gaia, you’ll own and drive work on training and improving frontier-scale models trained in-house. Partner closely with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact. Provide technical leadership through mentors

We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development

Lead Machine Learning Engineer - Risk Decisioning Office: United Kingdom Remote:Spain | UK Apply for this role. You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Extensive experience building and deploying Machine Learn

As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. Drive the actual productionization of LLMs and machine learning to

Principal Machine Learning Engineer. As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real‑time insights and personalised experiences for millions of fans. Lead the end‑to‑en

Senior Machine Learning Engineer. Support the productionalization and evolution of the Oracles — entities that leverage machine learning to drive Prima’s microservices behavior. Get access to learning resources, mentorship, and a growth plan tailored to you.

About you:You are a data savvy Machine Learning Engineer with advanced Python coding skills and a strong knowledge of AWSYou have experience of across the full lifecycle of ML model development including into productionYou're collaborative, enjoy problem solving and working with others to overcome t

I’m currently working on an exciting opportunity for a Machine Learning Engineer to join a rapidly growing AI organisation working on some genuinely high-impact projects across National Security, Government and cutting-edge technology. This is a great opportunity for someone who enjoys taking ML o

Senior Machine Learning Engineer (Text-to-Speech). We are at the forefront of revolutionising Text-to-Speech (TTS) and Speech Synthesis in Conversational AI, and we're looking for a skilled Senior Machine Learning Engineer to join our expanding team. As a Senior Machine Learning Engineer, you will b

Working as part of a cross-functional Data Science team, the Machine Learning Engineer will play a key role in taking machine learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions wh

Strong Machine Learning Engineering experience. Machine Learning Research Engineers. Scientific machine learning or simulation environments.

Research Engineers at Relation are software engineers with a deep understanding of machine learning and deep learning, acting as a critical bridge between theory and implementation: designing, building, and scaling the complex systems on which our ML research depends. Senior Machine Learning Researc

With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. Deploy, productionise, and monitor machine-learning models across the business. Work alongside data engin

Senior Machine Learning Engineer needed to design and implement advanced machine learning platforms, taking models from research to deployment.

Newto Training's AI Engineer Career Programme is designed to help aspiring professionals gain the qualifications, practical experience and support needed to secure their first role in the industry. How Our Career Programme Works:Four industry-recognised certifications (exam voucher and exam resit su

Senior Machine Learning Engineer (Python AWS MLOps) Remote UK to £105k. Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production?.

Develops machine learning models, GenAI solutions, and deploys them to production on AWS for national security applications.

This role is for a Machine Learning Engineer to build AI models for document understanding and research in a start-up.