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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
152
Salary range
£28k – £300k
Hiring companies
51
View 152 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 297 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
35
55
2 jobs
Junior
45
95
1 job
Mid
28
130
48 jobs
Senior
40
300
38 jobs
Lead
60
150
10 jobs
Director
120
209
3 jobs
Skills & tools

What hiring managers ask for

% of 140 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
74%
AWS
34%
Azure
34%
AI
28%
LangChain
26%
Machine Learning
26%
CI/CD
25%
RAG
23%
LLMs
22%
Kubernetes
21%
Generative AI
20%
GCP
19%
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

152 live roles

See all 152 roles →

AI Engineer - TradingHub

The AI Engineer will design and implement a customer-facing AI compiler and interface for financial market analytics using natural language. Responsibilities include building a multi-layered AI agent, integrating AWS Bedrock, and developing frontend components to present AI outputs and user interactions.

eFinancialCareers London, United Kingdom
Hybrid Permanent
Multiverse logo

Senior AI Engineer - AI Transformation

This role involves designing and building end-to-end AI agent systems that transform how Multiverse operates internally and sets industry standards. You'll architect context and retrieval strategies, develop evaluation frameworks, integrate tools and APIs, and work across the full stack to deliver production-grade AI solutions. The position emphasizes AI-first engineering practices, with a focus on real-world impact, cost efficiency, and scalable systems that serve both internal functions and broader workforce transformation.

Multiverse London, United Kingdom
Hybrid Permanent Clearance Required

Applied AI Engineer - BPL

This role involves designing and building scalable AI and machine learning solutions within Barclays' AI and engineering ecosystem, with a focus on responsible and enterprise-wide adoption. The engineer will work on modern AI technologies including generative AI, LLMs, and retrieval-augmented generation, collaborating with data scientists and stakeholders to deploy secure, production-grade systems. Emphasis is placed on cloud-based architectures, data pipelines, and alignment with governance, risk, and strategic business objectives.

Barclays London, E14 5RB, United Kingdom
Hybrid Permanent

Founding AI Engineer - Video

This role involves building and optimizing production AI systems, with a focus on computer vision and generative AI for video applications. As the first AI hire, you'll lead end-to-end development of agentic workflows and AI-powered video tools, working closely with founders to shape technical direction. You'll work on reducing token usage, deploying frontier models, and solving real-world media-scale challenges in a greenfield environment.

Softweb Resourcing Soho, London, United Kingdom £100,000 – £140,000 pa
Hybrid Permanent
Multiverse logo

Staff AI Engineer - AI Transformation

This role involves designing and building a production-grade agentic operating system to transform how Multiverse functions internally. You'll architect multi-agent coordination, develop evaluation and cost optimization systems, integrate AI agents with existing platforms, and establish engineering standards for AI-first operations. The work directly shapes both Multiverse's internal transformation and the broader blueprint for AI adoption in workforce education.

Multiverse London, United Kingdom
Hybrid Permanent Clearance Required

Senior AI engineer - UK

This role involves designing, building, and scaling production-grade AI systems and data platforms. You will work closely with Data Scientists and cross-functional teams to productionise machine learning models, develop high-performance AI services, and maintain scalable backend systems in cloud-native environments.

Infused Solutions United Kingdom £60,000 – £70,000 pa
Remote Permanent

Lead AI Engineer

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of...

Exposed Solutions Fitzrovia, London, W1T 5EE, United Kingdom £60,000 – £80,000 pa
Remote

Senior AI Engineer - up to+ Bonus

Design and build secure, AI-powered cloud native platforms for diverse clients, translating business challenges into scalable technical solutions. Work across full-stack development, solution architecture, and AI integration in a consultancy environment with frequent client engagement and greenfield projects.

Involved Solutions London, United Kingdom £75,000 – £110,000 pa
Hybrid Permanent
See all 152 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
46 open

Manchester

Location
7 open

Edinburgh

Location
3 open

Cambridge

Location
3 open

Birmingham

Location
2 open

Cardiff

Location
2 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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