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

Salary details

The average mid-level / intermediate Engineer salary lies between USD 62,500 and USD 105,000 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: Dec. 22, 2024

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

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

Engineering | 10892 jobs Python | 10566 jobs Machine Learning | 7062 jobs Computer Science | 6720 jobs SQL | 6583 jobs Pipelines | 5960 jobs AWS | 5338 jobs Architecture | 4909 jobs Security | 4463 jobs Testing | 4018 jobs Azure | 3792 jobs ETL | 3770 jobs Agile | 3749 jobs Data pipelines | 3627 jobs Java | 3359 jobs Research | 3261 jobs Spark | 2999 jobs GCP | 2764 jobs Big Data | 2762 jobs APIs | 2633 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 9378 jobs Health care | 4953 jobs Flex hours | 3422 jobs Equity / stock options | 3293 jobs Competitive pay | 2907 jobs Startup environment | 2866 jobs Team events | 2324 jobs Flex vacation | 2100 jobs Insurance | 2074 jobs Salary bonus | 1946 jobs Medical leave | 1938 jobs Parental leave | 1868 jobs Wellness | 1286 jobs 401(k) matching | 1098 jobs Relocation support | 667 jobs Conferences | 606 jobs Home office stipend | 570 jobs Unlimited paid time off | 466 jobs Fitness / gym | 456 jobs Transparency | 438 jobs

Salary Composition

In the United Kingdom, the salary composition for a mid-level AI/ML/Data Science engineer typically includes a fixed base salary, performance-based bonuses, and sometimes additional remuneration such as stock options or other benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. In tech companies or startups, stock options or equity might also be offered, which can be a significant part of the compensation, especially in high-growth companies. Larger companies or those in the finance sector might offer more substantial bonuses, while smaller startups might compensate with equity.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills with the latest technologies and tools in AI/ML. Specializing in high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or even a Ph.D. in a relevant field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into roles that involve team leadership or project management can lead to higher salaries.
• Industry Switch: Some industries, like finance or healthcare, may offer higher salaries for AI/ML roles compared to others.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.

Educational Requirements

Most mid-level AI/ML/Data Science positions require at least a bachelor's degree in a relevant field such as computer science, mathematics, statistics, or engineering. However, many employers prefer candidates with a master's degree in data science, machine learning, or a related discipline. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

While not always required, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills and knowledge, making you more competitive in the job market.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in data science, machine learning, or a related field. This experience should include hands-on work with data analysis, model building, and deployment. Experience with programming languages like Python or R, and familiarity with machine learning frameworks such as TensorFlow or PyTorch, is often expected.

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