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: March 2, 2025

Salary trend

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 | 47955 jobs Python | 46808 jobs Machine Learning | 34096 jobs Computer Science | 30469 jobs SQL | 26382 jobs Pipelines | 25293 jobs Architecture | 24160 jobs AWS | 23449 jobs Security | 18980 jobs Testing | 17674 jobs Azure | 16641 jobs Java | 15838 jobs Research | 15511 jobs Agile | 15391 jobs Data pipelines | 14800 jobs Spark | 14524 jobs ETL | 14242 jobs GCP | 13027 jobs Big Data | 12916 jobs APIs | 11989 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 | 43167 jobs Health care | 22983 jobs Equity / stock options | 17267 jobs Flex hours | 15851 jobs Startup environment | 13796 jobs Competitive pay | 13040 jobs Team events | 10964 jobs Flex vacation | 10907 jobs Salary bonus | 10572 jobs Insurance | 10199 jobs Medical leave | 9952 jobs Parental leave | 9367 jobs 401(k) matching | 5840 jobs Wellness | 5663 jobs Conferences | 3111 jobs Relocation support | 3094 jobs Home office stipend | 2589 jobs Transparency | 2315 jobs Fitness / gym | 2086 jobs Flexible spending account | 2058 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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