Salary for Mid-level / Intermediate AI Engineer in United Kingdom during 2024
💰 The median Salary for Mid-level / Intermediate AI Engineer in United Kingdom during 2024 is USD 87,500
✏️ This salary info is based on 8 individual salaries reported 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.
- Job title
- AI Engineer
- Experience
- Mid-level / Intermediate
- Region
- United Kingdom
- Salary year
- 2024
- Sample size
- 8
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- Top 25%
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- Median
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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: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 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 | 289 jobs Machine Learning | 282 jobs Engineering | 273 jobs Computer Science | 196 jobs LLMs | 170 jobs NLP | 156 jobs Generative AI | 153 jobs PyTorch | 146 jobs Research | 146 jobs AWS | 141 jobs TensorFlow | 134 jobs Azure | 132 jobs Architecture | 112 jobs Deep Learning | 106 jobs Pipelines | 101 jobs ML models | 99 jobs GCP | 86 jobs APIs | 83 jobs Java | 82 jobs Agile | 78 jobsTop 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 | 247 jobs Health care | 121 jobs Flex hours | 95 jobs Competitive pay | 74 jobs Equity / stock options | 72 jobs Startup environment | 59 jobs Parental leave | 53 jobs Flex vacation | 51 jobs Insurance | 46 jobs Team events | 43 jobs Medical leave | 42 jobs Wellness | 41 jobs 401(k) matching | 40 jobs Salary bonus | 22 jobs Fitness / gym | 20 jobs Transparency | 20 jobs Conferences | 19 jobs Home office stipend | 19 jobs Relocation support | 12 jobs Unlimited paid time off | 12 jobsSalary 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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