3,109 Artificial Intelligence jobs in the United Kingdom

Overview

We are looking for a Full Stack AI Developer to build and enhance the AivaRevolution platform using Python for backend services and APIs for our AI-driven recruitment platform. You will work on full-stack projects with modern technologies, optimise system performance, and roll out new features. Alignment with product and design teams to create seamless, intuitive user experiences will be essential, and you will contribute to technical decisions, participate in architectural discussions, and engage in code reviews, testing, and continuous improvement processes.

We are seeking a Full Stack AI Developer to focus on developing and enhancing the AivaRevolution platform using a variety of tools. Build and maintain backend services and APIs in Python for our AI-driven recruitment platform. Collaborate on full-stack projects, solve complex technical challenges, optimise performance, and deliver new features.

AIVA is an AI-powered automation platform designed to transform how modern venues operate, built by venue owners. Created by Alastair Winsey, AIVA combines real-world hospitality experience with advanced AI to deliver seamless, scalable automation that feels human. The platform manages guest conversations, bookings, payments, reminders, and more, all in the venue’s tone of voice and brand. AIVA enhances guest experiences, reduces administrative tasks, and improves commercial performance with real-time metrics and seamless integrations.

• Strong proficiency in TypeScript, React, and Node.js.
• Proven track record with Python backend development, APIs, and scalable services.
• Excellent spoken and written English is essential.
• A proven and demonstrable record of shipping high-quality production code in agile environments.
• A passion for crafting great user experiences and the ability to reflect that passion in your work.
• Comfortable building with AI tools and leveraging AI in development workflows to deliver faster and better outcomes.

• Experience in technical architecture and decision-making; leading a team, startup or scale-up engineering experience.
• Familiarity with cloud platforms.
• Contributions to open-source projects or notable personal projects.
• Evidence of fundamentals with willingness to learn and adapt.

English language proficiency is essential, with ideally 2-3 years of experience. Preferred locations include Manchester, Oxford, Newcastle, Leeds, Bristol. Exceptional candidates from other UK locations will be considered.

• Pattern Recognition and Neural Networks skills
• Strong foundation in Computer Science
• Experience in Software Development
• Proficiency in Natural Language Processing (NLP)
• Excellent problem-solving and analytical skills
• Ability to work collaboratively in an on-site team environment
• Bachelor's degree in Computer Science, Engineering, or a related field
• Experience in the hospitality industry or AI automation is a plus
• Frontend: React, TypeScript
• Infrastructure: AWS (or other cloud providers)
• Tools: Git, AWS Serverless
• CI/CD pipelines; AI: Prompt engineering, API integrations, AI model-powered feature development
• AI: Gemini, OpenAI, Co-Pilot, Claude (expertise in some or all desirable)

• Entry level

• Full-time

• Engineering and Information Technology
• Industries: Hospitality

Get AI-powered advice on this job and more exclusive features.

This range is provided by Digital Waffle. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from Digital Waffle

A well-funded, high-growth tech company is building the next generation of AI-powered automation tools —reimagining how complex, manual work gets done in the financial services world and beyond. They’re now looking for a Machine Learning Engineer to help design and build intelligent systems that make that future a reality.

This is a full-time hybrid role , based in the Nottingham area , with regular in-office collaboration.

The Role

You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI applications in a production environment.

You’ll work in a fast-paced R&D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery.

What You’ll Be Doing

• Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks
• Build production-level backend and microservices in Python and TypeScript
• Work with product and engineering teams to shape models, services, and system behaviour
• Contribute to system architecture and infrastructure for scale, observability, and performance
• Explore and implement LLMs, prompt engineering, and AI orchestration frameworks
• Take ownership of features end-to-end, from design to deployment and monitoring

What They’re Looking For

• 5+ years of software engineering experience , with strong ML or backend focus
• Proficiency in Python and/or TypeScript , and experience with production-grade systems
• Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.)
• Strong grasp of data modelling , cloud infrastructure (preferably AWS), and modern APIs
• Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB)
• Problem-solver who can reason about complex systems and deliver clean, scalable code
• Excellent communication skills and ability to collaborate across technical and non-technical teams

Nice to Have

• Hands-on experience with agentic workflows or autonomous AI systems
• Background in data engineering or database architecture
• Side projects, open-source contributions, or hobbyist builds involving AI/ML
• Interest in rapid prototyping, automation, and cutting-edge AI tooling

What’s on Offer

• Competitive salary with equity/options available
• Hybrid working from a base in the East Midlands , with in-office collaboration
• Work on cutting-edge AI challenges with real-world impact
• Join a high-performing, ambitious team backed by leading investors
• Opportunity to shape intelligent products from the ground up

This is a great opportunity for a machine learning engineer or backend AI developer who wants to work on high-impact, production-ready AI tools at the edge of innovation.

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries Software Development, Technology, Information and Media, and Information Services

Referrals increase your chances of interviewing at Digital Waffle by 2x

Nottingham, England, United Kingdom 1 day ago

Nottingham, England, United Kingdom 5 days ago

Derby, England, United Kingdom 4 days ago

East Midlands, England, United Kingdom 5 days ago

Bretby, England, United Kingdom 1 hour ago

Derby, England, United Kingdom 3 months ago

Beeston, England, United Kingdom 1 month ago

Leicester, England, United Kingdom 3 weeks ago

Shirebrook, England, United Kingdom 2 weeks ago

Burton Upon Trent, England, United Kingdom 2 days ago

Nottingham, England, United Kingdom 1 week ago

Nottingham, England, United Kingdom 1 week ago

Leicester, England, United Kingdom 2 weeks ago

Burton Upon Trent, England, United Kingdom 1 week ago

Nottingham, England, United Kingdom 5 days ago

Leicester, England, United Kingdom 2 weeks ago

Nottingham, England, United Kingdom 4 days ago

Leicester, England, United Kingdom 2 weeks ago

Diseworth, England, United Kingdom 3 weeks ago

Leicester, England, United Kingdom 2 weeks ago

Nottingham, England, United Kingdom 1 day ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

This range is provided by 83data. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

AI Engineer - Defence RAG Systems ( Security Clearance Essential ) On Site 2 X Days a week Plymouth - willingness to undergo DV if required

Defence client requires an SC Cleared AI Engineer to build fully on-premises RAG systems using open-source technologies. You'll develop classified AI capabilities on air-gapped infrastructure with zero external dependencies.

• Build end-to-end RAG pipelines on isolated defence networks using open-source LLMs (Llama 3, Mistral, Qwen)
• Deploy local vector stores (Chroma, FAISS, Milvus) with sensitive document ingestion pipelines
• Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity
• Implement agent orchestration using LangChain/LangGraph in completely offline environments
• Design secure document processing for classified materials with appropriate data sanitisation
• Build monitoring and evaluation systems that operate within air-gapped infrastructure
• Active SC Clearance (non-negotiable) - willingness to undergo DV if required
• Expertise with local vector databases (Chroma, FAISS, Weaviate) in offline deployments
• Strong vLLM/Text Generation Inference experience for high-throughput model serving
• Proven ability to work on air-gapped systems with no external package repositories
• Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation
• Python expertise with offline dependency management and local package mirrors

• Models: Llama 3, Mistral, Qwen (locally hosted)
• Orchestration: LangChain, LangGraph for agents
• Hosting: vLLM, TGI, Ollama on bare metal/private cloud
• Infrastructure: Air-gapped Kubernetes, local container registries
• Experience with defence/government IT security protocols
• Knowledge of CIS benchmarks and NCSC guidelines
• Familiarity with cross-domain solutions and data diodes
• Understanding of classification marking and handling procedures

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting and Defense and Space Manufacturing

Referrals increase your chances of interviewing at 83data by 2x

Get notified about new Artificial Intelligence Engineer jobs in Plymouth, England, United Kingdom .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Overview

Salary: £55,000 to £5,000 plus excellent benefits and a relocation package of up to 0k

Are you ready to design AI solutions that will shape the future of biotech innovation?

This is a permanent, full-time opportunity where you will play a key role in embedding machine learning and artificial intelligence models into next-generation products that make a real-world impact.

• Leading innovative AI projects from concept through to deployment.
• Developing and delivering computer vision–based AI solutions, with a focus on biological applications.
• Translating new AI features into actionable work items and collaborating closely with cross-functional teams.
• Managing AI model codebases, synchronizing with DevOps pipelines, and maintaining GitHub repositories.
• Producing high-quality technical documentation and contributing to patent filings.
• Implementing and evaluating state-of-the-art ML/AI models aligned with business goals.

• Strong programming expertise in Python.
• 3–4 years’ experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Proven track record delivering computer vision AI projects (ideally in biotech).
• Solid knowledge of convolutional models and ONNX.
• Familiarity with Git and DevOps practices.
• Strong communication and documentation skills.
• MSc or higher in Computer Science, Mathematics, Physics, AI, Computational Biology, or a related quantitative field (or equivalent experience).

• Machine Learning Engineer
• Data Scientist
• Deep Learning Engineer
• Computer Vision Engineer
• Data Scientist (AI/ML focus)
• Applied Scientist
• AI Research Engineer
• Conversational AI Engineer
• Cognitive Systems Engineer
• AI Solutions Engineer
• AI Software Engineer
• ML Ops Engineer (Machine Learning Operations Engineer)

• Mid-Senior level

• Full-time

• Information Technology

• Information Services
• Biotechnology Research

This range is provided by developrec. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from developrec

AI Engineer – Agentic Systems & Automation – £70,000 – Fully remote in UK

A fast-growing company at the forefront of engineering innovation and AI automation is seeking an experienced AI Engineer to help develop intelligent, scalable agentic systems integrated into modern software development lifecycles.

This role involves leading the design and deployment of LLM-powered agents, developer tools, and automation frameworks that streamline workflows and elevate productivity.

This is a hands-on engineering role that blends software development, AI experimentation, and product innovation.

The successful candidate will play a key role in architecting agent-based systems, leveraging advanced frameworks such as LangChain and LlamaIndex, and deploying real-time AI capabilities that integrate deeply with SDLC processes.

Key Responsibilities

• LLM Agent Development: Design and implement intelligent, multi-step agents using frameworks like LangChain, LangGraph, and LlamaIndex to enhance developer workflows.
• Tooling & Assistant Innovation: Develop AI-powered assistants and developer tools with an emphasis on scalability, performance, and reliability.
• AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned custom models and evaluation pipelines.
• Prompt Engineering: Design, iterate, and test prompt strategies to improve model accuracy, robustness, and responsiveness across various LLM backends.
• Cross-Functional Collaboration: Work closely with engineering, product, and QA teams to embed agent-led automation within CI/CD pipelines and developer environments.
• Prototyping & R&D: Drive rapid prototyping efforts and validate new ideas through real-world experimentation and user feedback.
• Responsible AI: Promote ethical and secure AI practices, proactively addressing issues like prompt injection, data leakage, and model drift.
• AI Advocacy: Lead internal workshops, demos, and documentation initiatives to promote AI capabilities across teams and client projects.

Ideal Candidate Profile

• Agentic Experience: Proven experience building agent workflows using frameworks such as LangChain, LangGraph, or equivalent.
• AI/ML Expertise: Solid understanding of large language models (LLMs), embeddings, vector search, and prompt engineering.
• Software Engineering Skills: Strong programming skills in Python (AI pipelines) and TypeScript (full-stack integration). Capable of writing production-grade code.
• Product Mindset: Ability to understand user needs and translate them into impactful AI features and experiences.
• Cloud & Data Knowledge: Experience working with cloud platforms (AWS, Azure, or GCP).
• Model Deployment: Familiarity with evaluating, fine-tuning, and deploying LLMs in production environments, including performance monitoring and optimization.
• Collaboration & Agility: Comfortable working in fast-paced, cross-functional teams.
• Experimental Approach: A passion for rapid iteration, learning from experiments, and data-driven development.

Preferred Qualifications

• Experience designing RAG (Retrieval-Augmented Generation) or CAG systems using vector databases and hybrid retrieval techniques.
• Knowledge of LLM security challenges, including prompt injection and adversarial attacks.
• Familiarity with prompt evaluation frameworks and metrics such as truthfulness, helpfulness, and toxicity.
• Hands-on experience with developer-focused AI tools (e.g., Copilot, Cursor), including a deep understanding of their architecture and scalability.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development and IT System Custom Software Development

Referrals increase your chances of interviewing at developrec by 2x

Get notified about new Artificial Intelligence Engineer jobs in United Kingdom .

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

Manchester, England, United Kingdom 1 day ago

London, England, United Kingdom 8 months ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 10 months ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 10 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Overview

Direct message the job poster from iXceed Solutions

London Hybrid, 3 days/week WFO

8-10 years of relevant experience

• Proven experience as an AI, Machine Learning, or Privacy Engineer.
• Proficiency in programming languages such as Python is added advantage.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
• Experience working with multi-cloud technologies. GCP is mandatory.
• Excellent analytical and communication skills, with the ability to explain complex technical and privacy concepts to non-technical stakeholders
• Experience with adversarial testing and robustness evaluation of AI models.
• Experience in the end-to-end development of AI/ML models and applications.
• Ability to lead and train the team on model training

• Mid-Senior level

• Contract

• Information Technology

• Technology, Information and Media

Overview

AI Technical Consultant
Weybridge, Surrey (Hybrid)

Our client is a globally recognised electronics brand who are looking for an experienced AI Technical Consultant. This role will suit someone with 3–5 years of AI/ML experience who enjoys building innovative solutions that deliver real business value.

• Designing and building AI-powered solutions, including LLM fine-tuning and retrieval-augmented generation (RAG).
• Leading AI solution architecture across cloud and on-premise systems.
• Developing and integrating ML models into production environments.
• Identifying AI opportunities within business processes and advising on adoption.
• Staying ahead of open-source AI/ML frameworks and assessing new tools.
• Prototyping, testing, and optimising AI applications for performance.
• Communicating AI capabilities to both technical and non-technical stakeholders.

• Must have strong experience in GenAI
• Degree in Computer Science, Data Science, Engineering, or related field
• Strong skills in Python, Java, SQL/NoSQL, APIs, and data integration
• Experience with LLMs/SLMs, on-premise deployment, and open-source AI frameworks (e.g. Hugging Face, LangChain)
• Excellent consulting and communication skills

• Not Applicable

• Full-time

• Information Technology

• Technology, Information and Media

Overview

Direct message the job poster from Understanding Recruitment

I’m supporting a fast-growing analytics company that uses AI to unlock insights from complex behavioural data. They turn messy, real-world datasets into actionable predictions — and are now looking for an AI Engineer to help push the limits of applied ML.

The role:

You’ll design, build, and productionise ML/deep learning models for behavioural forecasting, develop scalable pipelines, and work with large-scale temporal datasets — ensuring models make a real-world impact.

They’re looking for:

• Strong Python & production ML experience
• Background in machine learning, deep learning, or applied AI
• Experience with large behavioural datasets (SQL + modern data stack)
• 2–3+ years of relevant industry experience (top uni degree preferred)
• High impact ownership — see your models deployed in live systems
• Complex, real-world data challenges
• Competitive salary + meaningful share options

• Mid-Senior level

• Full-time

• Information Technology

• Technology, Information and Media, Retail, and Hospitals and Health Care

Overview

Talent Acquisition Consultant | Hiring people from UK/ Europe and APAC

JOB DETAILS

Must have skills:

• Proven experience as an AI, Machine Learning, or Privacy Engineer.
• Proficiency in programming languages such as Python is added advantage.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
• Experience working with multi-cloud technologies. GCP is mandatory.
• Excellent analytical and communication skills, with the ability to explain complex technical and privacy concepts to non-technical stakeholders
• Experience with adversarial testing and robustness evaluation of AI models.
• Experience in the end-to-end development of AI/ML models and applications.
• Ability to lead and train the team on model training

Minimum number of relevant years of experience: 8-10

• Mid-Senior level

• Contract

• Information Technology

• IT Services and IT Consulting