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

Salary details

The average mid-level / intermediate Machine Learning Engineer salary lies between USD 62,500 and USD 157,500 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: Dec. 1, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Machine Learning 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 | 997 jobs Python | 825 jobs Engineering | 747 jobs ML models | 619 jobs Computer Science | 545 jobs PyTorch | 501 jobs TensorFlow | 439 jobs Pipelines | 423 jobs AWS | 383 jobs Research | 375 jobs Deep Learning | 322 jobs Statistics | 317 jobs NLP | 313 jobs SQL | 280 jobs Architecture | 265 jobs Testing | 248 jobs MLOps | 247 jobs LLMs | 247 jobs Scikit-learn | 231 jobs Kubernetes | 218 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Engineer job listings are Career development, Health care and Equity / stock options. 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 | 818 jobs Health care | 428 jobs Equity / stock options | 332 jobs Flex hours | 298 jobs Competitive pay | 251 jobs Flex vacation | 236 jobs Startup environment | 218 jobs Insurance | 191 jobs Parental leave | 186 jobs Medical leave | 169 jobs Team events | 163 jobs Salary bonus | 128 jobs 401(k) matching | 108 jobs Wellness | 88 jobs Conferences | 61 jobs Relocation support | 53 jobs Home office stipend | 46 jobs Flexible spending account | 44 jobs Fitness / gym | 40 jobs Unlimited paid time off | 38 jobs

Salary Composition

In the United Kingdom, the salary composition for a mid-level Machine Learning Engineer typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, might make up the remaining 5% to 10%.

The composition can vary based on the region, with London-based roles often offering higher base salaries due to the cost of living. Industry also plays a role; for instance, tech companies or financial institutions might offer more lucrative bonuses and stock options compared to academia or smaller startups. Larger companies may provide more comprehensive benefits packages, while smaller companies might offer more equity or stock options as part of the compensation.

Increasing Salary

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

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging areas of AI/ML like deep learning, natural language processing, or reinforcement learning.
• Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open doors to higher-level positions and salary brackets.
• Leadership Roles: Transitioning into roles that involve team leadership or project management can lead to higher compensation.
• Industry Switch: Moving to a higher-paying industry, such as finance or tech, can result in a significant salary increase.
• Networking: Building a strong professional network can lead to opportunities in higher-paying roles or companies.
• Certifications: Obtaining advanced certifications can demonstrate expertise and justify a higher salary.

Educational Requirements

Most mid-level Machine Learning Engineer positions require at least a bachelor's degree in computer science, mathematics, statistics, or a related field. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for roles that involve complex problem-solving and research. A strong foundation in mathematics, particularly in linear algebra, calculus, and probability, is essential. Additionally, coursework or experience in computer programming, data structures, and algorithms is highly beneficial.

Helpful Certifications

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

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

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

Required Experience

Typically, a mid-level Machine Learning Engineer is expected to have 3 to 5 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience with popular ML frameworks like TensorFlow, PyTorch, or scikit-learn is often required. Additionally, familiarity with data processing tools and cloud platforms can be advantageous.

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