Manager Salary in United Kingdom during 2024

Salary details

The average Manager salary lies between USD 56,250 and USD 141,418 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: Nov. 24, 2024

Top 20 Job Tags for Manager roles

The three most common job tag items assiciated with Manager 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 | 7451 jobs Python | 5879 jobs Machine Learning | 5533 jobs SQL | 5067 jobs Computer Science | 4637 jobs Research | 4011 jobs Statistics | 3787 jobs Architecture | 2896 jobs Agile | 2896 jobs R | 2785 jobs Data management | 2785 jobs Security | 2719 jobs Testing | 2601 jobs Data Analytics | 2574 jobs Data analysis | 2384 jobs AWS | 2325 jobs Mathematics | 2282 jobs Privacy | 2232 jobs Excel | 2223 jobs Tableau | 2151 jobs

Top 20 Job Perks/Benefits for Manager roles

The three most common job benefits and perks assiciated with Manager 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 | 9084 jobs Health care | 5196 jobs Flex hours | 3372 jobs Equity / stock options | 3357 jobs Startup environment | 3137 jobs Competitive pay | 2835 jobs Team events | 2584 jobs Salary bonus | 2408 jobs Insurance | 2125 jobs Flex vacation | 2080 jobs Medical leave | 1916 jobs Parental leave | 1898 jobs Wellness | 1348 jobs 401(k) matching | 1125 jobs Transparency | 622 jobs Home office stipend | 516 jobs Relocation support | 470 jobs Conferences | 457 jobs Unlimited paid time off | 390 jobs Flexible spending account | 377 jobs

Salary Composition

In the United Kingdom, the salary composition for a Manager in AI/ML/Data Science typically includes a fixed base salary, performance-based 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 60% to 80%. Bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 10% to 20%.

The composition can vary based on several factors: - Region: Salaries in London and other major cities tend to be higher due to the increased cost of living and demand for skilled professionals. - Industry: Tech companies and financial services often offer more competitive packages compared to academia or public sector roles. - Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might provide equity options as part of the compensation.

Increasing Salary

To increase your salary from a managerial position in AI/ML/Data Science, consider the following strategies: - Skill Enhancement: Continuously update your technical and managerial skills. Specializing in emerging technologies or methodologies can make you more valuable. - Networking: Build a strong professional network. Engaging with industry peers can open up opportunities for higher-paying roles. - Performance Excellence: Consistently exceed performance expectations to position yourself for promotions or salary negotiations. - Advanced Education: Pursue further education, such as an MBA or a specialized master's degree, to enhance your qualifications. - Industry Transition: Consider moving to a higher-paying industry or a larger company that offers better compensation packages.

Educational Requirements

Most managerial roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data analysis or strategic decision-making. An MBA can also be beneficial for those looking to move into higher-level management positions.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your expertise: - Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights. - AWS Certified Machine Learning: Demonstrates proficiency in using AWS for machine learning tasks. - Google Professional Machine Learning Engineer: Shows expertise in designing and building machine learning models on Google Cloud. - Microsoft Certified: Azure AI Engineer Associate: Highlights skills in using Azure for AI solutions.

Required Experience

Typically, a managerial role in AI/ML/Data Science requires 5 to 10 years of experience in the field. This experience should include hands-on work with data analysis, machine learning models, and project management. Leadership experience, such as leading a team or managing projects, is also crucial. Experience in a specific industry can be advantageous, as it provides domain knowledge that can be applied to data-driven decision-making.

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