At Major Players, we're excited about the boundless opportunities that the field of artificial intelligence (AI) presents. As leaders in recruitment, we've seen firsthand how AI is transforming industries and creating a wealth of career paths for talented individuals. In this article, we will highlight and rank the various career paths that are common in the AI field.
“We find ourselves in the midst of an unparalleled transformation in our work culture and environment.” – Joanne Lucy, Managing Director. Machine Learning Engineer
Machine Learning
Engineers are specialists in designing and developing machine learning models. They collaborate closely with data analytics teams to create algorithms that learn from and make predictions based on data. According to Indeed, these professionals play a crucial role in maintaining and enhancing existing AI systems. Machine Learning Engineers can expect an average base salary of around £90,000 per year, reflecting the value they bring to organisations through their work on advanced technology.
AI Engineer
One of the most in-demand roles in AI is that of an AI Engineer. These professionals are at the cutting edge of developing and implementing AI solutions that enhance efficiency and drive innovation. AI Engineers use machine learning algorithms and neural networks to create systems capable of performing tasks that typically require human intelligence. These engineers focus on building tools and systems that apply to real-world problems. With an average base salary of approx. £85,000 per year, this role offers both financial rewards and the opportunity to make a significant impact across various industries.
Natural Language Processing (NLP) Engineer
NLP Engineers specialise in developing algorithms that enable computers to understand and process human language. They work on applications such as chatbots, virtual assistants, and language translation systems. According to Indeed, NLP Engineers are essential for creating AI systems that interact with users naturally and intuitively. The average base salary for an NLP Engineer is roughly £85,000 per year, underscoring the importance of this role in the AI landscape.
Data Scientist
Data Scientists are vital in helping organisations make informed decisions by analysing and interpreting complex data. They use statistical techniques and machine learning algorithms to uncover patterns and insights from large datasets. As highlighted by Springboard, Data Scientists are in high demand across various sectors, including healthcare, finance, and retail. With an average base salary of approximately £80,000 per year, this role is not only rewarding but also offers numerous opportunities to apply data-driven insights.
Robotics Engineer
Robotics Engineers design and develop robotic systems that perform tasks autonomously or with minimal human intervention. These professionals work in industries such as manufacturing, healthcare, and defence, creating robots that improve efficiency and safety. Coursera points out that Robotics Engineers are involved in designing new products and assembling prototypes for testing. The average base salary for a Robotics Engineer is around £70,000 per year, making it an attractive career option for those fascinated by robotics and automation.
At Major Players, we believe that the field of artificial intelligence offers a diverse range of career opportunities, each with its unique challenges and rewards. No matter where your interest lies, there's a role for you in this dynamic and rapidly evolving field. For more insights and information on the future of work, we highly recommend checking out our Future of Work report. Keep an eye on our Job Board for your next career move into the field of Artificial Intelligence.
