Engineer Salary in United Kingdom during 2024

Salary details

The average Engineer salary lies between USD 69,150 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: Dec. 15, 2024

Top 20 Job Tags for Engineer roles

The three most common job tag items assiciated with 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 | 48676 jobs Python | 47348 jobs Machine Learning | 34742 jobs Computer Science | 30350 jobs SQL | 26577 jobs Pipelines | 25356 jobs Architecture | 24866 jobs AWS | 24081 jobs Security | 19699 jobs Testing | 18455 jobs Azure | 16598 jobs Java | 16463 jobs Agile | 16453 jobs Research | 15401 jobs Data pipelines | 14887 jobs Spark | 14764 jobs ETL | 14321 jobs Big Data | 13070 jobs GCP | 13056 jobs APIs | 12093 jobs

Top 20 Job Perks/Benefits for Engineer roles

The three most common job benefits and perks assiciated with 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 | 43827 jobs Health care | 23439 jobs Equity / stock options | 17686 jobs Flex hours | 15682 jobs Startup environment | 13677 jobs Competitive pay | 13561 jobs Team events | 11387 jobs Flex vacation | 10783 jobs Salary bonus | 10539 jobs Insurance | 10189 jobs Medical leave | 9853 jobs Parental leave | 9274 jobs Wellness | 6259 jobs 401(k) matching | 5766 jobs Conferences | 3073 jobs Relocation support | 3051 jobs Home office stipend | 2558 jobs Transparency | 2269 jobs Fitness / gym | 2064 jobs Flexible spending account | 2049 jobs

Salary Composition

In the United Kingdom, the salary for an AI/ML/Data Science Engineer typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the most substantial component, often accounting for 70-80% of the total compensation package. 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, profit-sharing, or other benefits, can make up the remaining 5-10%. Larger tech companies or those in high-demand industries like finance or healthcare may offer more competitive bonus structures and additional perks.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest technologies and methodologies in AI/ML. 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 a relevant field can open doors to higher-paying roles.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends.
• Leadership Roles: Aim for leadership or managerial positions, which typically offer higher salaries.
• Industry Shift: Consider moving to industries that pay more for AI/ML expertise, such as finance or healthcare.

Educational Requirements

Most AI/ML/Data Science Engineer positions require at least a bachelor's degree in computer science, mathematics, statistics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles involving complex problem-solving and research. Courses in machine learning, data mining, algorithms, and statistical analysis are particularly beneficial.

Helpful Certificates

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
• Data Science Council of America (DASCA) Certifications

These certifications demonstrate your expertise and commitment to the field, potentially making you more attractive to employers.

Required Experience

Typically, employers look for candidates with 2-5 years of experience in data science or a related field. Experience with programming languages such as Python or R, familiarity with machine learning frameworks like TensorFlow or PyTorch, and hands-on experience with data analysis and visualization tools are often required. Experience in handling large datasets and deploying machine learning models in production environments is also highly valued.

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