AI Engineer Salary in United Kingdom during 2024

Salary details

The average AI Engineer salary lies between USD 50,000 and USD 150,000 in the United Kingdom. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for AI Engineer roles

The three most common job tag items assiciated with AI Engineer job listings are Python, Machine Learning and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 1086 jobs Machine Learning | 1065 jobs Engineering | 1037 jobs Computer Science | 737 jobs LLMs | 648 jobs Generative AI | 569 jobs Research | 546 jobs AWS | 524 jobs NLP | 520 jobs PyTorch | 490 jobs Azure | 487 jobs Architecture | 474 jobs TensorFlow | 467 jobs Deep Learning | 436 jobs Pipelines | 413 jobs ML models | 345 jobs Agile | 333 jobs GCP | 330 jobs Security | 329 jobs APIs | 315 jobs

Top 20 Job Perks/Benefits for AI Engineer roles

The three most common job benefits and perks assiciated with AI Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 976 jobs Health care | 450 jobs Flex hours | 390 jobs Startup environment | 291 jobs Competitive pay | 271 jobs Equity / stock options | 269 jobs Team events | 187 jobs Flex vacation | 179 jobs Parental leave | 163 jobs Insurance | 159 jobs Salary bonus | 149 jobs Medical leave | 146 jobs Wellness | 132 jobs 401(k) matching | 126 jobs Conferences | 72 jobs Fitness / gym | 57 jobs Transparency | 57 jobs Home office stipend | 48 jobs Relocation support | 46 jobs Gear | 40 jobs

Salary Composition for AI Engineer Roles in the UK

The salary for an AI Engineer in the UK typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed salary is the largest component, often accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company’s performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration might include stock options, especially in tech startups or large tech companies, and benefits like health insurance, retirement contributions, and professional development allowances. The composition can vary based on the region, with London-based roles often offering higher salaries due to the cost of living. Industry also plays a role; for instance, finance and tech sectors might offer more competitive packages compared to academia or public sector roles. Company size can influence the package, with larger companies potentially offering more comprehensive benefits and smaller companies offering equity or stock options.

Steps to Increase Salary from an AI Engineer Position

To increase your salary from an AI Engineer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's or Ph.D. in AI or related fields can open up higher-paying opportunities.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly increase your earning potential.
• Industry Change: Moving to a higher-paying industry, such as finance or healthcare, can result in a salary boost.
• Networking: Building a strong professional network can lead to opportunities in higher-paying roles or companies.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and justify a higher salary.

Educational Requirements for AI Engineer Positions

Most AI Engineer roles require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for positions involving research or advanced algorithm development. These advanced degrees provide a deeper understanding of machine learning algorithms, data structures, and statistical methods, which are crucial for developing AI solutions.

Helpful Certifications for AI Engineers

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• IBM AI Engineering Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications validate your skills in specific platforms and tools, making you more attractive to potential employers.

Experience Requirements for AI Engineer Roles

Typically, AI Engineer positions require 2-5 years of experience in related fields such as software development, data analysis, or machine learning. Experience with programming languages like Python, R, or Java, and familiarity with machine learning frameworks such as TensorFlow or PyTorch, is often expected. Practical experience in deploying AI models and working with large datasets is also highly valued.

Related salaries

Want to contribute?