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: Feb. 16, 2025

Salary trend

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 | 8121 jobs Python | 6452 jobs Machine Learning | 6015 jobs SQL | 5531 jobs Computer Science | 5077 jobs Research | 4368 jobs Statistics | 4134 jobs Architecture | 3175 jobs Agile | 3151 jobs Data management | 3086 jobs R | 3064 jobs Security | 2969 jobs Testing | 2879 jobs Data Analytics | 2788 jobs Data analysis | 2614 jobs AWS | 2483 jobs Privacy | 2466 jobs Mathematics | 2454 jobs Excel | 2397 jobs Tableau | 2342 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 | 9919 jobs Health care | 5571 jobs Flex hours | 3700 jobs Equity / stock options | 3671 jobs Startup environment | 3423 jobs Competitive pay | 3017 jobs Team events | 2846 jobs Salary bonus | 2644 jobs Insurance | 2309 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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