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

Salary details

The average mid-level / intermediate Research Engineer salary lies between USD 87,500 and USD 425,000 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: Nov. 17, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Research Engineer job listings are Research, Engineering and Python. 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:

Research | 249 jobs Engineering | 205 jobs Python | 146 jobs Machine Learning | 146 jobs Computer Science | 119 jobs Security | 83 jobs PyTorch | 81 jobs PhD | 79 jobs Statistics | 68 jobs Deep Learning | 67 jobs TensorFlow | 62 jobs NLP | 57 jobs R | 56 jobs LLMs | 52 jobs Testing | 48 jobs Architecture | 46 jobs Computer Vision | 40 jobs R&D | 40 jobs Physics | 39 jobs Mathematics | 36 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Research 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 | 167 jobs Health care | 90 jobs Equity / stock options | 68 jobs Flex hours | 59 jobs Competitive pay | 44 jobs Conferences | 43 jobs Flex vacation | 42 jobs Startup environment | 36 jobs Insurance | 36 jobs Parental leave | 35 jobs Medical leave | 33 jobs Relocation support | 31 jobs Team events | 25 jobs 401(k) matching | 23 jobs Salary bonus | 23 jobs Wellness | 16 jobs Unlimited paid time off | 13 jobs Flexible spending account | 8 jobs Gear | 7 jobs Home office stipend | 7 jobs

Salary Composition

In the United Kingdom, the salary composition for a Mid-level/Intermediate Research Engineer in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies or startups. The fixed base salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Performance bonuses can vary significantly depending on the company and industry, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech firms or startups and can make up 10% to 20% of the total compensation, depending on the company's size and success. In financial services or consulting firms, bonuses might be more substantial, reflecting the industry's performance-driven culture.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly 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 further education, such as a Ph.D. or specialized certifications, can position you for higher-level roles and salary brackets.

• Leadership Roles: Transitioning into leadership or managerial roles can significantly boost your earning potential. This might involve leading a team of engineers or managing projects.

• Networking and Industry Engagement: Actively participate in industry conferences, workshops, and seminars to build a strong professional network. This can lead to opportunities in higher-paying roles or companies.

• Negotiation Skills: Develop strong negotiation skills to effectively advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most mid-level research engineer positions 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. Advanced degrees demonstrate a deeper understanding of complex concepts and methodologies, which is highly valued in research-oriented roles.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can validate your expertise in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level research engineer role requires 3 to 5 years of relevant experience in AI/ML or data science. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in research projects, either in academia or industry, is highly beneficial, as it demonstrates your ability to conduct independent research and contribute to innovative solutions.

Related salaries

Want to contribute?