Future Tech Jobs Future Tech Jobs

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
49
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 299 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
39 jobs
Lead
60
150
10 jobs
Director
120
209
3 jobs
Skills & tools

What hiring managers ask for

% of 142 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
73%
AWS
34%
Azure
34%
AI
27%
Machine Learning
26%
LangChain
26%
CI/CD
25%
RAG
23%
LLMs
22%
Kubernetes
20%
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 →
NVIDIA logo

Principal AI Developer Technology Engineer

We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...

NVIDIA Reading, United Kingdom
NVIDIA logo

Principal AI Developer Technology Engineer

We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...

NVIDIA

Full-Stack Software Engineer, Generative AI Products and Platform - AVP - Citi

This role involves building and delivering full-stack features for 'Citi Assist', a generative AI assistant. You'll work on both frontend and backend, ensuring security and compliance, and collaborate closely with the team to drive projects from idea to production.

eFinancialCareers London, United Kingdom
On-site Permanent
NVIDIA logo

Principal AI Developer Technology Engineer

We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...

NVIDIA Germany
NVIDIA logo

Principal AI Developer Technology Engineer

We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...

NVIDIA
NVIDIA logo

Senior Software Engineer, AI Inference Systems

You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. This role involves collaborating with cross-functional teams to push the boundaries of accelerated computing for AI, contributing to open-source projects, and conducting original research.

NVIDIA Germany
Remote Permanent
NVIDIA logo

Senior Software Engineer, AI Inference Systems

You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research are key aspects of this role.

NVIDIA
NVIDIA logo

Senior Software Engineer, AI Inference Systems

You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and scaling workloads across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.

NVIDIA
Remote Permanent
See all 154 roles →
Top hirers

Companies hiring ai engineers

See all companies →
Hiring locations

Where this role is hiring

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

London

Location
48 open

Manchester

Location
7 open

Edinburgh

Location
3 open

Cardiff

Location
2 open

Cambridge

Location
2 open

Birmingham

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.

Hiring ai engineers?

Post your role in 90 seconds and reach the specialist audience that already reads this page.

Post a job → See pricing

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Artificial Intelligence roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.