Uncover the Latest Trends in AI Talent and Salaries with Understanding Recruitment's 2024 Report

Table of Contents

1. Introduction
2. AI Talent Report Overview
3. AI Talent Landscape in the UK, Europe, and the US
   • Gender Disparity in AI
   • Hotspots for AI Talent
   • Universities Producing AI Talent
4. Machine Learning Engineers
   • Salary Data
   • Top Employers
   • Benefits and Work Arrangements
   • Industry Insights and Job Titles
5. Data Scientists
   • Salary Data
   • Top Employers
   • Benefits and Work Arrangements
   • Industry Insights and Job Titles
6. Data Engineers
   • Salary Data
   • Top Employers
   • Benefits and Work Arrangements
   • Industry Insights and Job Titles
7. Conclusion
8. FAQs

Introduction

Hello everyone! Thank you for joining our LinkedIn live session on our AI Talent Report. This year, our report covers a wide range of insights and it's the biggest one we've ever produced. In today's session, we'll dive deep into the key findings of the report. Before we get started, I'd love to know where you're joining from so that we can tailor some of the insights to your location. Feel free to introduce yourself in the comments.

First, let me introduce myself. I am the head of our AI team at Understanding Recruitment. We specialize in scaling up teams in various domains, including Healthcare, finance, tech for good, and renewables. We build AI and data teams for companies and also help AI startups Scale. Our industry is rapidly growing, which means job titles are constantly evolving. That's why this year's report is the biggest yet, covering a wide range of job titles. If you have any questions or want to know more about me, feel free to reach out on LinkedIn or email me.

Now, let's dive into the key insights from our 2024 AI Talent and Salary Report.

AI Talent Report Overview

Our AI Talent Report provides a comprehensive overview of the AI talent landscape in the UK, Europe, and the US. In this report, we cover the current state of AI talent, salary trends, top employers, benefits, and industry insights.

AI Talent Landscape in the UK, Europe, and the US

Gender Disparity in AI

One of the key challenges in the AI industry is gender disparity. Our report reveals that there is still a significant gender gap in AI talent, with a majority of professionals identifying as male. However, there has been some improvement, and we aim to promote gender diversity and inclusivity in the industry.

Hotspots for AI Talent

Our report identifies the hotspots for AI talent in different locations. In the UK, London remains the top hotspot, followed by cities like Cambridge, Bristol, Edinburgh, and Manchester. In Europe, London continues to lead, with Paris, Amsterdam, and Berlin making waves in the industry. In the US, San Francisco is the top hub, with growth seen in cities like Washington DC, Boston, and Los Angeles.

Universities Producing AI Talent

We analyzed the universities that produce AI talent across the three regions. In the UK, Imperial College London and the University of Manchester were the top producers. In Europe, the Technical University of Munich and the University of Amsterdam stood out. In the US, Northeastern University and the Georgia Institute of Technology were leading universities.

Machine Learning Engineers

Machine learning engineering is a vital field within AI. Our report delves into the trends and insights specifically related to machine learning engineers.

Salary Data

Our report provides detailed salary data for machine learning engineers at different levels. Starting salaries for graduate-level machine learning engineers in the UK averaged around £46,000, while head of positions averaged at £131,000. Similar trends were observed in Europe and the US, with slight variations in salary figures.

Top Employers

We highlight the top employers in the machine learning engineering space. Companies like Apple, Meta, Spotify, and Bosch are leading the way in attracting machine learning engineering talent. Additionally, we discuss the growth of startups like Cubric, which offers training in machine learning engineering.

Benefits and Work Arrangements

We explore the benefits and work arrangements offered to machine learning engineers. Health care, flexible working hours, and remote working options are among the most important benefits for professionals in this field. We also discuss the preferences of professionals regarding work-life balance and remote work.

Industry Insights and Job Titles

The field of machine learning is evolving rapidly, leading to new job titles and emerging areas of AI. Our report provides insights into the most interesting areas of AI, including computer vision, natural language processing (NLP), Generative AI, and reinforcement learning. We also discuss the tenure and job titles of professionals, shedding light on the experience levels and job roles prevalent in the industry.

Data Scientists

Data scientists play a crucial role in AI and data analysis. Our report presents key findings related to data scientists.

Salary Data

We provide comprehensive salary data for data scientists at various levels. Starting salaries in the UK averaged around £53,000 for graduate-level data scientists, with senior positions reaching an average of £84,000. Similar trends were observed in Europe and the US, with slight variations in salary figures.

Top Employers

We identify the top employers in the data science field, including companies like Apple, Meta, Spotify, and CVS Health. The report highlights the growth of these companies and their focus on expanding their data science teams.

Benefits and Work Arrangements

We discuss the benefits and work arrangements offered to data scientists, which include healthcare, flexible working hours, and remote working options. The report also explores the preferences of data scientists regarding remote work and work-life balance.

Industry Insights and Job Titles

The report provides insights into the most interesting areas of AI for data scientists, such as machine learning fundamentals, computer vision, NLP, generative AI, and reinforcement learning. The job titles prevalent in the industry, such as research engineer and research scientist, also reflect the diverse range of roles in the field.

Data Engineers

Data engineering is a critical component of AI and data analysis. Our report delves into the trends and insights specific to data engineers.

Salary Data

We Present comprehensive salary data for data engineers, including starting salaries and average salaries at various levels. Salaries for data engineers varied across regions, with slight differences in figures for the UK, Europe, and the US.

Top Employers

The report highlights the top employers in the data engineering field, such as JLR, NatWest, BT, and Capgemini. These companies are leading the way in attracting data engineering talent and driving innovation in the industry.

Benefits and Work Arrangements

We explore the benefits and work arrangements offered to data engineers, including healthcare, flexible working hours, and remote working options. The report emphasizes the importance of work-life balance and the increasing demand for remote work options among data engineers.

Industry Insights and Job Titles

The report provides insights into the tenure and job titles of data engineers, shedding light on the experience levels and roles prevalent in the industry. We also highlight the most interesting industries for data engineers, such as fintech, healthcare, gaming, climate tech, and retail.

Conclusion

In conclusion, our AI Talent Report offers valuable insights into the AI talent landscape, salaries, top employers, benefits, and industry trends. The report highlights the continued growth of the AI industry and the importance of diversity and inclusivity. As AI continues to reshape various sectors, it is crucial to stay informed about the latest trends and opportunities.

Thank you for joining us in this session. If you have any further questions or would like to learn more, please feel free to contact me on LinkedIn or through email.