Ai salary

AI Salaries in the UK: What to Expect in 2024

6 min read

Artificial intelligence (AI) continues to be a transformative force in the tech industry, driving innovation across various sectors. With the increasing adoption of AI technologies, the demand for skilled AI professionals is on the rise. This trend is particularly evident in the UK, where the AI job market is experiencing significant growth. In this blog, we will delve into the salary trends for various AI roles in the UK for 2024, examine the factors that influence pay, and explore regional differences. Our goal is to provide job seekers with detailed salary information to motivate them to pursue high-paying AI roles.

Overview of the AI Job Market in the UK

The AI job market in the UK has been expanding rapidly, driven by the widespread implementation of AI technologies in industries such as finance, healthcare, retail, and manufacturing. The UK government has also shown strong support for AI, with initiatives to foster AI research and development, which further fuels the demand for AI professionals.

Key AI Roles in the Job Market

  1. Machine Learning Engineer: Responsible for designing and implementing machine learning models, often using large datasets to improve algorithms.

  2. Data Scientist: Focuses on analysing and interpreting complex data to help organisations make data-driven decisions.

  3. AI Research Scientist: Engages in cutting-edge research to develop new AI methodologies and applications.

  4. AI Software Developer: Develops software applications that incorporate AI capabilities.

  5. AI Consultant: Provides strategic advice to businesses on how to leverage AI technologies effectively.

Salary Trends for AI Roles in the UK

Salaries for AI roles in the UK can vary significantly based on experience, education, industry, and location. Below, we provide a detailed analysis of the salary trends for key AI roles in 2024.

Machine Learning Engineer

Machine Learning Engineers are among the highest-paid professionals in the AI field due to their specialised skills in building and optimising machine learning models.

  • Entry-Level (0-2 years of experience): £45,000 - £60,000

  • Mid-Level (3-5 years of experience): £60,000 - £80,000

  • Senior-Level (6+ years of experience): £80,000 - £120,000

Data Scientist

Data Scientists are crucial for extracting actionable insights from data, making them highly valuable to organisations across various sectors.

  • Entry-Level (0-2 years of experience): £40,000 - £55,000

  • Mid-Level (3-5 years of experience): £55,000 - £75,000

  • Senior-Level (6+ years of experience): £75,000 - £110,000

AI Research Scientist

AI Research Scientists, often PhD holders, work on advanced AI research projects and contribute to developing new AI technologies.

  • Entry-Level (0-2 years of experience): £50,000 - £70,000

  • Mid-Level (3-5 years of experience): £70,000 - £90,000

  • Senior-Level (6+ years of experience): £90,000 - £130,000

AI Software Developer

AI Software Developers integrate AI into software applications, making them essential for implementing AI solutions.

  • Entry-Level (0-2 years of experience): £40,000 - £55,000

  • Mid-Level (3-5 years of experience): £55,000 - £70,000

  • Senior-Level (6+ years of experience): £70,000 - £100,000

AI Consultant

AI Consultants play a strategic role in helping businesses adopt and optimise AI technologies, leading to competitive salaries.

  • Entry-Level (0-2 years of experience): £50,000 - £65,000

  • Mid-Level (3-5 years of experience): £65,000 - £85,000

  • Senior-Level (6+ years of experience): £85,000 - £120,000

Factors Influencing AI Salaries

Several factors influence the salaries of AI professionals in the UK. Understanding these factors can help job seekers negotiate better pay and make informed career decisions.

1. Experience and Skill Level

Experience is one of the most significant factors affecting AI salaries. Professionals with more years of experience and a proven track record of successful projects can command higher salaries. Additionally, possessing advanced skills in machine learning, deep learning, natural language processing, and computer vision can significantly boost earning potential.

2. Education and Certifications

Higher educational qualifications, such as a master's degree or PhD in AI, computer science, or related fields, can lead to higher salaries. Moreover, certifications from recognised institutions, such as TensorFlow Developer Certification or Microsoft Certified: Azure AI Engineer, can enhance a candidate's marketability and salary prospects.

3. Industry

The industry in which an AI professional works also impacts their salary. For instance, AI roles in the finance and healthcare sectors tend to offer higher salaries due to the critical nature of AI applications in these fields. Conversely, AI roles in academia or smaller startups may offer lower salaries but could provide other benefits such as research opportunities or equity.

4. Company Size and Type

Large multinational corporations and tech giants like Google, Amazon, and Microsoft often offer higher salaries and more comprehensive benefits compared to smaller companies or startups. However, startups may offer stock options or profit-sharing plans that can be lucrative in the long run.

5. Location

Geographic location plays a crucial role in determining AI salaries. Salaries tend to be higher in major tech hubs like London, where the cost of living is also higher. Conversely, AI professionals in smaller cities or rural areas may earn less but benefit from a lower cost of living.

Regional Differences in AI Salaries

The UK exhibits notable regional differences in AI salaries, reflecting the cost of living and the concentration of tech companies in various areas.

London

As the UK's leading tech hub, London offers the highest salaries for AI professionals. The presence of numerous tech companies, financial institutions, and startups creates a competitive job market with ample opportunities.

  • Machine Learning Engineer: £60,000 - £120,000

  • Data Scientist: £55,000 - £110,000

  • AI Research Scientist: £70,000 - £130,000

  • AI Software Developer: £55,000 - £100,000

  • AI Consultant: £65,000 - £120,000

Manchester

Manchester is an emerging tech hub with a growing number of tech companies and startups. Salaries in Manchester are competitive but generally lower than in London.

  • Machine Learning Engineer: £50,000 - £90,000

  • Data Scientist: £45,000 - £85,000

  • AI Research Scientist: £55,000 - £100,000

  • AI Software Developer: £45,000 - £80,000

  • AI Consultant: £55,000 - £95,000

Edinburgh

Edinburgh has a thriving tech scene, particularly in fintech and AI research. The city offers attractive salaries for AI professionals, coupled with a high quality of life.

  • Machine Learning Engineer: £48,000 - £85,000

  • Data Scientist: £43,000 - £80,000

  • AI Research Scientist: £50,000 - £95,000

  • AI Software Developer: £43,000 - £75,000

  • AI Consultant: £50,000 - £90,000

Bristol

Bristol is known for its innovation in technology and engineering, offering good opportunities and competitive salaries for AI professionals.

  • Machine Learning Engineer: £47,000 - £85,000

  • Data Scientist: £42,000 - £78,000

  • AI Research Scientist: £49,000 - £93,000

  • AI Software Developer: £42,000 - £73,000

  • AI Consultant: £49,000 - £88,000

Birmingham

Birmingham is another city with a growing tech sector. Salaries here are relatively competitive, making it an attractive option for AI professionals.

  • Machine Learning Engineer: £46,000 - £80,000

  • Data Scientist: £41,000 - £75,000

  • AI Research Scientist: £48,000 - £90,000

  • AI Software Developer: £41,000 - £70,000

  • AI Consultant: £47,000 - £85,000

Future Outlook for AI Salaries in the UK

The future of AI salaries in the UK looks promising, with continued growth expected across various sectors. Several trends are likely to influence AI salaries in the coming years:

1. Increased Adoption of AI

As more industries recognise the potential of AI to drive efficiency and innovation, the demand for AI professionals will continue to rise. This increased demand is likely to push salaries higher, especially for roles that require advanced skills and expertise.

2. Expansion of AI Research and Development

The UK government's commitment to supporting AI research and development will create more opportunities for AI professionals, particularly in research-intensive roles. This expansion is expected to lead to higher salaries for AI researchers and scientists.

3. Advancements in AI Technologies

As AI technologies continue to evolve, the need for professionals who can work with cutting-edge tools and methodologies will grow. This will drive up salaries for those with specialised skills in areas such as deep learning, natural language processing, and AI ethics.

4. Growing Importance of AI Ethics and Governance

With the increasing use of AI comes the need for ethical considerations and proper governance. Professionals with expertise in AI ethics, bias mitigation, and regulatory compliance will be in high demand, commanding higher salaries.

Conclusion

AI salaries in the UK are set to remain robust in 2024, reflecting the growing demand for skilled professionals in this dynamic field. Whether you are an entry-level job seeker or an experienced professional, understanding the salary trends and factors that influence pay can help you make informed career decisions. With competitive salaries, exciting opportunities, and a supportive ecosystem for AI development, the UK is an excellent place for AI professionals to thrive.

For those looking to pursue high-paying AI roles, now is the time to invest in acquiring the necessary skills and qualifications. The AI job market in the UK is ripe with opportunities, and with the right preparation, you can secure a rewarding career in this cutting-edge field. Explore the latest AI job listings on www.artificialintelligencejobs.co.uk and take the next step towards a fulfilling and lucrative career in AI.

Related Jobs

Hadean logo

Hadean · 11–50 people · Series A

Engineering Manager - AI Defence Product (dominAI)

Save job
  • London
  • Hybrid · 1 day in office
  • Senior · manages people
  • Permanent

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

TypeScript · React · Node

Featured SC clearance Last week
Autodiscovery logo

Autodiscovery · 11–50 people · Series A

Senior Robotics Software Engineer

  • Wantage
  • On-site
  • Senior
  • Permanent

Lead the design and deployment of autonomous robotic systems, owning software architecture across perception, planning and control. Work spans prototyping, simulation and field testing, integrating with hardware teams while mentoring engineers and shaping technical roadmaps. Requires depth in C++, ROS2, SLAM and real-time systems.

ROS · ROS2 · Gazebo +1

3 weeks ago
University of Southampton logo

University of Southampton · 501–1000 people · University

Research Fellow in AI Engineering and Commercialisation

Save job
  • Southampton
  • £37,369 – £45,641 pa
  • Mid-level
  • Contract · Part time

A part-time research post developing and commercialising AI-enabled healthcare tools, combining hands-on software engineering and system architecture with product development and evaluation. The role involves building, testing and deploying software with large language model and agentic AI capabilities, connecting diverse datasets, research algorithms and external services, while supporting commercial partnerships, customer discovery, business models and pilot delivery.

3 days ago

PhysicsX

Field CTO

Save job
  • New York, United States
  • Hybrid
  • US$240,000 – US$300,000 pa
  • Director · manages people

Leads regional deployment engineering for a physics AI platform, owning end-to-end success of customer-owned infrastructure deployments. Acts as primary technical contact for CIOs and CTOs, overseeing Kubernetes-based platform rollouts, security reviews, and version upgrades while hiring and growing a team of deployment engineers.

Kubernetes · AWS · Azure +6

2 months ago

Experis · 501–1000 people · Late stage

AI Delivery Lead

Save job
  • London
  • £110,000 pa
  • Lead · manages people
  • Permanent

Hands-on leadership role taking AI solutions from proof of concept to secure, production-grade deployments in highly regulated Security & Justice environments. Involves designing end-to-end AI architectures, leading multidisciplinary teams, shaping technical roadmaps and ensuring governance, security and operational compliance across LLM, RAG and Generative AI workstreams.

LangChain · LangGraph · Azure +2

SC clearance 5 days ago

Amazon · Public

Senior Solutions Architect, Solutions Architecture, UK

Save job
  • London
  • Hybrid
  • Senior
  • Permanent

Customer-facing cloud architect role in AWS's UK Solutions Architecture team, focused on the Travel and Hospitality industry. You lead architecture reviews, whiteboarding sessions, demos and technical workshops, manage the technical relationship with customers, and create reference architectures and best practices across AI/ML, serverless, containers, analytics and security.

AWS

Visa sponsorship 5 months ago

Hiring?
Discover world class talent.

Are you sure?