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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
154
Salary range
£28k – £300k
Hiring companies
51
View 154 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

154 live roles

See all 154 roles →

DevSecOps Engineer AI

This role focuses on securing and automating the AI platform's engineering lifecycle, with a strong emphasis on controlled, auditable releases. The engineer will implement and maintain CI/CD pipelines, infrastructure-as-code, policy-as-code, and integrated security scanning across the development lifecycle. Collaboration with cloud teams ensures robust, compliant deployment patterns on Azure.

eFinancialCareers London, United Kingdom
Hybrid Permanent

Senior AI Platform Engineer

As a Senior AI Platform Engineer, you will design and build agentic AI workflows that integrate into an existing product platform, enabling intelligent design changes across tools and documentation. You will work closely with product, design, and engineering teams to embed AI capabilities and make architectural decisions around cloud infrastructure and cost optimization.

Harnham - Data and Analytics Recruitment Manchester, United Kingdom £100,000 – £130,000 pa

Senior Golang Engineer - AI Products & Platforms - Citi

This role involves designing and building AI-powered products and platforms using Golang within Citi's high-growth AI Product & Platform team. You'll develop scalable backend services and cloud-native microservices, collaborate with AI specialists, and contribute to developer tools and frameworks. The position emphasizes innovation in distributed systems, generative AI, and modern engineering practices in a start-up-like environment within a global financial institution.

eFinancialCareers London, United Kingdom
Hybrid Permanent
NVIDIA logo

Senior Networking Solution Test Engineer – AI Cluster Debugging

As a Senior Networking Test Engineer, you will focus on designing and maintaining test environments for large-scale AI clusters using NVLink, Ethernet, and InfiniBand. Your role involves complex debugging, reproducing customer scenarios, and collaborating with development teams to ensure robust and efficient AI networking solutions.

NVIDIA
Remote Permanent
NVIDIA logo

Senior Networking Solution Test Engineer – AI Cluster Debugging

As a Senior Networking Test Engineer, you will focus on designing and maintaining test environments for large-scale AI clusters using NVLink, Ethernet, and InfiniBand. Your role involves deep debugging of hardware, system software, and AI workloads, collaborating with development teams to resolve complex issues and improve system performance.

NVIDIA
Remote Permanent

Graduate AI Machine Learning Engineer

About the Role:We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to...

Global Tech Recruitment London, United Kingdom £39,000 – £40,000 pa

Senior AI/ML Software Engineer (LLM Focus)

Senior AI/ML Software Engineer (LLM Focus)Location: Guildford (office based role)Salary and benefits: £on experience + a truly outstanding package that includes an unrivalled holday entitlement.Role OverviewOur client has tasked us to source a talented Senior level AI/ML Software Engineer with...

Ion recruitment Guildford, Surrey, United Kingdom £65,000 – £100,000 pa
HAYS Specialist Recruitment logo

Senior AI/ML Software Engineer (C++/C#, Python)

This role involves bridging the gap between advanced AI/ML and production-grade software, taking models from concept to scalable deployment. You'll work in a newly formed R&D team, contributing to modern AI approaches and shaping how data drives product capability in a well-established, market-leading company.

HAYS Specialist Recruitment Guildford, United Kingdom £85,000 – £125,000 pa
On-site Permanent
See all 154 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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