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AI Engineer Jobs

Developers who build and deploy AI systems, from research to production. A role that bridges the gap between theory and application, with a focus on creating intelligent software solutions.

Open roles
139
Salary range
£28k – £300k
Hiring companies
52
View 139 live roles → Get an alert

AI Engineers are at the forefront of technological innovation, designing and implementing AI systems that solve complex problems. They work across a range of industries, from tech giants to research-heavy startups, and their role involves both theoretical research and practical application. AI Engineers are responsible for developing algorithms, models, and systems that can learn from data, make predictions, and automate tasks. This role requires a strong foundation in computer science, mathematics, and statistics, as well as proficiency in programming languages like Python and frameworks like TensorFlow and PyTorch.

What the role does

Inside the role of an AI Engineer

A typical week for an AI Engineer is a mix of research, development, and collaboration. They spend time coding, testing, and refining models, while also engaging with cross-functional teams to integrate AI solutions into existing systems.

  1. 01
    Design and implement machine learning models
  2. 02
    Optimise algorithms for performance and efficiency
  3. 03
    Collaborate with data scientists and software engineers
  4. 04
    Conduct experiments and analyse results
  5. 05
    Document processes and findings
  6. 06
    Stay updated with the latest AI research and tools
Salary on the board

£28k – £300k

Based on advertised midpoints across the 285 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
35
55
2 jobs
Mid
28
130
39 jobs
Senior
40
300
36 jobs
Lead
60
150
10 jobs
Director
120
209
3 jobs
Skills & tools

What hiring managers ask for

% of 113 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
76%
AWS
40%
Azure
40%
AI
33%
LangChain
29%
Machine Learning
26%
LLMs
25%
CI/CD
25%
Kubernetes
22%
RAG
22%
GCP
21%
Generative AI
20%
Career ladder

From Junior to Principal

A typical UK progression for ai engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior AI Engineer

    0–2 yrs

    Assist in the development and testing of AI models, with a focus on learning and gaining hands-on experience.

  2. Level 2

    AI Engineer

    2–5 yrs

    Take ownership of specific projects, from initial design to deployment, and contribute to the overall architecture of AI systems.

  3. Level 3

    Senior AI Engineer

    5–8 yrs

    Lead the development of complex AI solutions, mentor junior team members, and ensure the quality and reliability of AI systems.

  4. Level 4

    Principal AI Engineer

    8+ yrs

    Drive strategic initiatives, innovate in AI research, and guide the technical direction of the organisation.

Pathway

How to become a AI Engineer

There's no single route, but most people follow some version of these steps.

  1. 1

    Learn the Fundamentals

    Gain a strong foundation in computer science, mathematics, and statistics. Familiarise yourself with programming languages like Python and AI frameworks.

  2. 2

    Build Practical Skills

    Work on personal or open-source projects to apply your knowledge. Participate in hackathons and coding challenges to gain real-world experience.

  3. 3

    Gain Industry Experience

    Start your career as a Junior AI Engineer, working on smaller projects and learning from more experienced colleagues.

  4. 4

    Specialise in a Domain

    Choose a specific area of AI, such as computer vision or natural language processing, and deepen your expertise in that domain.

  5. 5

    Lead Projects

    Take on more responsibility by leading AI projects, managing teams, and ensuring the successful delivery of AI solutions.

  6. 6

    Innovate and Influence

    Contribute to cutting-edge research, influence the direction of AI in your organisation, and mentor the next generation of AI Engineers.

Live jobs

139 live roles

See all 139 roles →
Bodyswaps logo

AI Engineer

This role involves leading a two-year R&D project to develop emotionally responsive virtual humans for soft-skills training. Responsibilities include setting technical direction, building AI systems that perceive and respond naturally, and collaborating across multiple disciplines to turn research into a reliable product.

Bodyswaps London, United Kingdom
Hybrid Permanent
Luminance logo

AI Engineer

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance Cambridge, United Kingdom
Hybrid Permanent

AI Engineer

This role involves developing and deploying AI applications, analyzing model performance, and working with multicore techniques. You will be part of a team focused on AI acceleration, using frameworks like PyTorch and TensorFlow, and tackling complex problems in AI model deployment and optimization.

MicroTech Consulting Barcelona, PL13 2JU, United Kingdom €68,698 – €69,568 pa
On-site Permanent

AI Engineer

This role involves designing and evolving multi-agent AI systems that process brand analytics using advanced LLM pipelines. The engineer will build agent orchestration frameworks, implement eval and observability layers for LLM outputs, and maintain secure, scalable AWS infrastructure. It's a hands-on leadership position focused on shaping production AI systems with real-world impact.

Hyre Ai Paddington, London, W2 1HU, United Kingdom £60,000 – £80,000 pa
Hybrid Permanent

AI Engineer

You will design and implement agentic AI systems capable of autonomous decision-making and task execution, building custom LLM pipelines, memory architectures, and tool-use frameworks. You'll collaborate with product and engineering teams to integrate AI into real-world workflows and contribute to a proprietary AI platform in a greenfield environment.

Huxley Associates London, United Kingdom £80,000 – £90,000 pa
Hybrid Permanent

AI Engineer

This role involves extending and improving a 22-agent agentic AI platform that connects fragmented school data and surfaces actionable insights. Responsibilities include building and refining agent sub-graphs, improving prompt engineering, and contributing to LLM benchmarking. The platform integrates multiple LLMs and uses LangGraph with a supervisor-of-supervisors architecture.

Opus Recruitment Solutions London, United Kingdom £60,000 – £70,000 pa
Remote Permanent Flexible

AI Engineer

This role involves building and deploying production AI applications using LLMs, designing agentic workflows, and developing scalable backend APIs and cloud-native services. You'll work closely with engineering, product, and business teams to improve automation, decision-making, and user experience through intelligent workflows and AI-powered features.

Yolk Recruitment Cardiff, South Glamorgan, CF10 2AF, United Kingdom £75,000 – £82,000 pa
Hybrid Permanent

AI Engineer

This role involves designing, building, and supporting enterprise AI platforms using Azure technologies. You will collaborate with developers, data scientists, and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions, focusing on CI/CD, LLMOps, and MLOps pipelines, as well as GenAI and RAG solutions.

Vivo Talent London, United Kingdom
Hybrid Permanent
See all 139 roles →
Top hirers

Companies hiring ai engineers

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Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

London

Location
47 open

Manchester

Location
8 open

Cambridge

Location
3 open

Cardiff

Location
2 open

Bristol

Location
1 open

Newcastle

Location
1 open
FAQs

Common questions

  • Python is the most widely used language in AI, but knowledge of C++, Java, and R can also be beneficial.

  • Strong programming skills, a solid understanding of algorithms and data structures, and proficiency in machine learning frameworks are crucial.

  • While a PhD can be beneficial, especially for research roles, many successful AI Engineers have backgrounds in computer science or related fields without a PhD.

  • Salaries for AI Engineers can vary widely based on experience, location, and industry. For more detailed salary information, please refer to the salary section on this page.

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