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

Salary details

The average mid-level / intermediate Manager salary lies between USD 56,250 and USD 87,500 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. 17, 2024

Top 20 Job Tags for Mid-level / Intermediate Manager roles

The three most common job tag items assiciated with mid-level / intermediate Manager job listings are Engineering, Python and SQL. 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 | 3541 jobs Python | 3049 jobs SQL | 2710 jobs Machine Learning | 2511 jobs Computer Science | 2175 jobs Research | 2002 jobs Statistics | 1972 jobs R | 1477 jobs Data management | 1464 jobs Agile | 1356 jobs Data analysis | 1311 jobs Security | 1303 jobs Architecture | 1287 jobs Data Analytics | 1282 jobs Excel | 1252 jobs Testing | 1240 jobs Tableau | 1197 jobs Mathematics | 1144 jobs Finance | 1084 jobs Power BI | 1083 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 4511 jobs Health care | 2604 jobs Flex hours | 1737 jobs Equity / stock options | 1661 jobs Startup environment | 1578 jobs Competitive pay | 1333 jobs Team events | 1307 jobs Salary bonus | 1133 jobs Flex vacation | 1052 jobs Insurance | 1043 jobs Parental leave | 946 jobs Medical leave | 843 jobs Wellness | 631 jobs 401(k) matching | 535 jobs Transparency | 281 jobs Home office stipend | 255 jobs Conferences | 247 jobs Relocation support | 243 jobs Unlimited paid time off | 199 jobs Gear | 180 jobs

Salary Composition

In the United Kingdom, the salary composition for a mid-level/intermediate 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, usually around 70-80%. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 5-10%.

The composition can vary based on several factors: - Region: Salaries in London and the South East tend to be higher due to the cost of living and concentration of tech companies. - Industry: Financial services and tech companies often offer higher bonuses and stock options compared to other sectors. - Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might provide equity as a significant part of the package.

Increasing Salary

To increase your salary from this 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 AI ethics can make you more valuable. - Leadership Development: Enhance your leadership and management skills. Taking on more responsibilities or leading larger teams can position you for higher-paying roles. - Networking: Build a strong professional network within the industry. Attend conferences, join professional groups, and engage in online forums to increase your visibility and opportunities. - Advanced Education: Pursue further education, such as a master's degree or MBA, which can open doors to higher-level positions. - Performance Excellence: Consistently exceed performance targets and demonstrate your impact on the company's success to negotiate for higher pay.

Educational Requirements

Most mid-level/intermediate manager roles in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as computer science, data science, mathematics, or engineering. However, a master's degree is often preferred and can be a significant advantage. Degrees that combine technical skills with business acumen, such as a Master’s in Data Science or an MBA with a focus on technology, are particularly valued.

Helpful Certificates

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

Required Experience

Typically, a mid-level/intermediate manager in AI/ML/Data Science is expected to have 5-8 years of relevant experience. This includes hands-on experience in data analysis, machine learning model development, and project management. Experience in leading teams or projects, as well as a proven track record of delivering successful AI/ML solutions, is highly desirable.

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