Salary for Mid-level / Intermediate AI Engineer in United Kingdom during 2024

Salary details

The average mid-level / intermediate AI Engineer salary lies between USD 50,000 and USD 210,000 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. 24, 2024

Top 20 Job Tags for Mid-level / Intermediate AI Engineer roles

The three most common job tag items assiciated with mid-level / intermediate AI Engineer job listings are Machine Learning, Python 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:

Machine Learning | 262 jobs Python | 261 jobs Engineering | 249 jobs Computer Science | 184 jobs LLMs | 157 jobs NLP | 146 jobs Research | 136 jobs Generative AI | 135 jobs PyTorch | 134 jobs AWS | 126 jobs TensorFlow | 124 jobs Azure | 121 jobs Architecture | 104 jobs Deep Learning | 100 jobs Pipelines | 94 jobs ML models | 92 jobs Java | 80 jobs APIs | 77 jobs GCP | 75 jobs Agile | 74 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate AI Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 228 jobs Health care | 116 jobs Flex hours | 92 jobs Equity / stock options | 71 jobs Competitive pay | 69 jobs Startup environment | 56 jobs Parental leave | 52 jobs Flex vacation | 51 jobs Insurance | 44 jobs Team events | 42 jobs Medical leave | 42 jobs Wellness | 39 jobs 401(k) matching | 38 jobs Salary bonus | 22 jobs Fitness / gym | 20 jobs Transparency | 19 jobs Home office stipend | 19 jobs Conferences | 17 jobs Unlimited paid time off | 12 jobs Relocation support | 11 jobs

Salary Composition for AI/ML/Data Science Roles

In the United Kingdom, the salary composition for a mid-level AI Engineer typically includes a fixed base salary, performance bonuses, and sometimes additional remuneration such as stock options or benefits. The base salary often constitutes the majority of the total compensation package, usually around 70-80%. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can add another 5-10% to the total package. The industry also plays a role; for instance, finance and tech sectors might offer higher bonuses compared to academia or public sector roles.

Steps to Increase Salary

To increase your salary from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in AI or related fields can open doors to higher-paying roles.
• Leadership Roles: Transitioning into a leadership or managerial position can significantly boost your salary.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining advanced certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most mid-level AI Engineer positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree is often preferred and can be a significant advantage. Courses in machine learning, statistics, and programming are essential. Some roles may also require knowledge of specific AI frameworks or tools, which can be gained through formal education or self-study.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-paying roles.

Required Experience

Typically, a mid-level AI Engineer is expected to have 3-5 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in deploying AI solutions in real-world applications is highly valued. Additionally, familiarity with industry-standard tools and platforms, such as TensorFlow, PyTorch, or AWS, is often required.

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