Manager Salary in United Kingdom during 2024

Salary details

The average Manager salary lies between USD 61,562 and USD 117,950 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. 19, 2025

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 | 8138 jobs Python | 6471 jobs Machine Learning | 6031 jobs SQL | 5553 jobs Computer Science | 5090 jobs Research | 4372 jobs Statistics | 4147 jobs Architecture | 3183 jobs Agile | 3159 jobs Data management | 3089 jobs R | 3070 jobs Security | 2973 jobs Testing | 2887 jobs Data Analytics | 2798 jobs Data analysis | 2626 jobs AWS | 2487 jobs Privacy | 2467 jobs Mathematics | 2465 jobs Excel | 2403 jobs Tableau | 2348 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 | 9947 jobs Health care | 5596 jobs Flex hours | 3700 jobs Equity / stock options | 3696 jobs Startup environment | 3425 jobs Competitive pay | 3020 jobs Team events | 2848 jobs Salary bonus | 2669 jobs Insurance | 2334 jobs Flex vacation | 2280 jobs Medical leave | 2133 jobs Parental leave | 2104 jobs Wellness | 1369 jobs 401(k) matching | 1246 jobs Transparency | 697 jobs Home office stipend | 572 jobs Conferences | 501 jobs Relocation support | 501 jobs Unlimited paid time off | 418 jobs Flexible spending account | 407 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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