The demand for skilled AI and machine learning (ML) professionals is set to surge in 2025 in industries that drive this trend by industries such as healthcare and BFSI. As businesses increasingly integrate AI technology, job seekers with expertise in the role of AI can expect advantageous opportunities, particularly with strong basic knowledge and practical experience.
Sectors such as Healthcare and BFSI are expected to witness unprecedented growth driven by advances in AI-powered diagnostics, automation and customer experiences. However, experts are learning deep AI concepts, balancing ethical considerations, and facing challenges while remaining updated with evolving tools.
Top AI Roles and Estimated Salaries in 2025
The roles of AI engineers, generative AI developers, AI research scientists and more are poised for pay. £12-22 LPA reflects the surge in demand for AI expertise.
| AI Job | role | Estimated package (annual) |
|---|---|---|
| AI Engineer | Responsible for developing and deploying AI solutions | £12- £14 Lark |
| Generating AI Developer | Design, develop and manage AI systems | £16-18 |
| Data Scientist | Control data collection and interpretation | £15-18 lakh |
| AI research scientist | Design and test new technologies to improve AI efficiency | £18-20 lakh |
| Machine Learning Engineer | Design and develop machine learning systems | £13-16 |
| Chatbot Engineer | Create apps for automated communication between companies and customers | £6-8 lakh |
| Cybersecuriy Experts | Security of your company's data from cyber threats | £10-12 lakh |
According to Sachin Alug, CEO of NLB Services, the top five AI roles in demand for next year include AI engineers, generator AI developers, data scientists, AI research scientists, and machine learning engineers. These roles are crucial in driving automation, data analytics and innovation across the industry.
Furthermore, the roles of NLP engineers and robotics engineers will become more prominent. NLP engineers driven by AI extensions can expect packages of £12-14 LPA, robotics engineers are expected to earn some of the highest paychecks from. £18-22 LPA.
“As AI becomes more integrated into the business sector, the demand for skilled professionals grows. Those fresh in the field can expect a slightly lower package, but they can quickly expand based on their expertise and skills,” explains Alug.
AI Healthcare, Insurance, and BFSI Employment
Jobs specializing in artificial intelligence may remain in demand in a variety of industries, particularly in healthcare, banking, financial services and insurance (BFSI).
“If you look at something within BFSI, you'll see a surge in AI-related jobs, such as banking, finance, NBFCs, etc. The word fintech is already made up of 'tech.' Insurance, you are investing heavily in AI technology.
“The adoption of AI in healthcare addresses inefficiencies by automating repetitive tasks, enhancing diagnosis and improving patient outcomes. The roles of data scientists, NLP engineers, AI model developers and more are in even higher demand.
“AI-led employment will gradually grow in all sectors, including primarily human-centric areas such as healthcare and BFSI. In the healthcare sector, AI will make progress in areas such as diagnostics, medical imaging, and personalized treatments. Niraj Kumar, CTO at Onix, said:
Explaining the reasons behind the boom in AI jobs in the cybersecurity space, Krishnenduchaterjee told Livemint: “We are vulnerable to people trying to hack into server systems while using data.
Challenges in transitioning to the role of AI
Despite opportunities to grow, experts looking to switch to AI-related roles face specific challenges. Alug highlights the need to acquire complex skills such as programming, data management, and understanding AI frameworks. Updated with constant innovation, addressing ethical concerns and ensuring fairness in AI systems can also add complexity.
Amid the growing demand for AI-related employment, mushrooming AI-related courses could increase the risk of worsening the quality of training and education.
“Previously, there was a shortage of engineers in our country. And now you go to any state. There are 100 engineering universities. So the quality of training and the quality of education has started to deteriorate.
Scaler co-founder Abhimanyu Saxena noted that lack of skill depth is a major challenge. “Experts often pursue multiple certifications without understanding the core concepts. Employers are looking for candidates to understand how AI models work, including the foundations of underlying mathematics and systems. Practical projects and structured upskills are essential to overcome this gap,” emphasizes Saxena.
Exalt for fresh people and professionals
Freshmen and experts looking to leverage AI employment opportunities in 2025 should focus on building basic and practical skills. Saxena proposes leveraging AI tools such as Openai's model, Google's Gemini and Cursor to increase productivity across roles.
“Hackathons, Kaggle competitions and internships are important for practical experience. Learning Python, data structures and basic AI concepts will give you a fresh industrial response,” adds Saxena.
For those looking for structured learning, free introductory courses from Google, as well as more comprehensive programs like Scaler offers, can provide powerful foundations and advanced skills tailored to the roles of AI and ML.
With the rise of AI-driven solutions across the industry, 2025 is poised to be a vital year for job seekers looking to enter or advance into the AI and ML fields. A focus on practical skills, continuous learning, and sector-specific expertise ensures the role of rewards in this dynamic and evolving landscape.
