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

Salary details

The average mid-level / intermediate Software Engineer salary lies between USD 95,000 and USD 300,000 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: Jan. 12, 2025

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

The three most common job tag items assiciated with mid-level / intermediate Software 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 | 1596 jobs Python | 1572 jobs Machine Learning | 1340 jobs Computer Science | 1230 jobs Java | 766 jobs Architecture | 752 jobs Testing | 751 jobs Security | 709 jobs AWS | 665 jobs SQL | 562 jobs Agile | 538 jobs Pipelines | 526 jobs APIs | 521 jobs Research | 500 jobs Kubernetes | 480 jobs Azure | 448 jobs JavaScript | 443 jobs Linux | 371 jobs Docker | 370 jobs LLMs | 340 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Software 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 | 1512 jobs Health care | 792 jobs Equity / stock options | 670 jobs Startup environment | 469 jobs Flex hours | 435 jobs Competitive pay | 424 jobs Medical leave | 408 jobs Salary bonus | 349 jobs Insurance | 338 jobs Flex vacation | 300 jobs Team events | 297 jobs Parental leave | 290 jobs Wellness | 241 jobs 401(k) matching | 173 jobs Relocation support | 130 jobs Unlimited paid time off | 80 jobs Transparency | 75 jobs Home office stipend | 71 jobs Gear | 66 jobs Conferences | 61 jobs

Salary Composition

In the United Kingdom, the salary composition for a mid-level AI/ML/Data Science role typically includes a fixed base salary, performance-based bonuses, and sometimes additional remuneration such as stock options or 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 be offered, which can be a significant part of the compensation, especially in high-growth companies. Larger companies might offer more comprehensive benefits packages, including health insurance, retirement contributions, and other perks.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a relevant field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into a leadership or managerial role can significantly increase your earning potential.
• 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/ML/Data Science positions require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for roles that involve complex problem-solving and advanced algorithm development. A strong foundation in mathematics and statistics is crucial, as is proficiency in programming languages such as Python or R.

Helpful Certifications

While not always required, certain certifications can enhance your resume 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 in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in software engineering, data analysis, or a related field. Experience with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), data visualization tools, and cloud platforms is often expected. Practical experience in deploying machine learning models and working with large datasets is highly valued.

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