AI/ML Engineer for Transformative Biomedical AI in London

AI/ML Engineer for Transformative Biomedical AI in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
Gsk

At a Glance

  • Tasks: Develop and implement innovative machine learning models for transformative biomedical applications.
  • Company: Join GSK, a leader in science and innovation, based in Greater London.
  • Benefits: Inclusive workplace, career growth opportunities, and hands-on experience in AI solutions.
  • Other info: Advanced Python programming skills required; dynamic team environment.
  • Why this job: Make a real impact in healthcare by leveraging cutting-edge AI technology.
  • Qualifications: Quantitative degree and experience with deep learning frameworks like PyTorch or TensorFlow.

The predicted salary is between 60000 - 80000 € per year.

GSK is looking for an experienced AI/ML Engineer to join our AI for Science team in Greater London. The role involves developing and implementing cutting-edge machine learning models across various scientific tasks.

Candidates should have a quantitative degree and experience with deep learning frameworks like PyTorch or TensorFlow, along with advanced Python programming skills.

GSK promotes an inclusive workplace and offers opportunities for career growth, emphasizing hands-on experience in AI solutions.

AI/ML Engineer for Transformative Biomedical AI in London employer: Gsk

GSK is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for AI/ML Engineers to thrive. Located in Greater London, employees benefit from a dynamic work environment that prioritises professional development and hands-on experience in transformative biomedical AI solutions. With a strong emphasis on career growth and collaboration, GSK empowers its team members to make meaningful contributions to the future of healthcare.

Gsk

Contact Detail:

Gsk Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI/ML Engineer for Transformative Biomedical AI in London

Tip Number 1

Network like a pro! Reach out to current or former employees at GSK on LinkedIn. A friendly chat can give us insider info and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your AI/ML projects, especially those using PyTorch or TensorFlow. This will help us stand out during interviews.

Tip Number 3

Practice makes perfect! Get ready for technical interviews by solving coding challenges and brushing up on deep learning concepts. We want to be sharp and confident!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and follow up easily!

We think you need these skills to ace AI/ML Engineer for Transformative Biomedical AI in London

Machine Learning
Deep Learning
PyTorch
TensorFlow
Python Programming
Quantitative Analysis
AI Solutions Development

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with deep learning frameworks like PyTorch or TensorFlow. We want to see how you've used these tools in real-world projects, so don’t hold back!

Quantitative Degree Matters:Since a quantitative degree is a must-have, be sure to mention your educational background clearly. We love seeing how your studies have prepared you for this role, so connect the dots for us!

Tailor Your Application:Take a moment to customise your application for the AI/ML Engineer position. We appreciate when candidates align their experiences and skills with what we’re looking for, so make it personal!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.

How to prepare for a job interview at Gsk

Know Your Tech Inside Out

Make sure you’re well-versed in deep learning frameworks like PyTorch and TensorFlow. Brush up on your Python skills too, as you might be asked to solve coding problems or discuss your previous projects involving these technologies.

Showcase Your Problem-Solving Skills

Prepare to discuss specific scientific tasks where you've implemented machine learning models. Be ready to explain your thought process and how you approached challenges, as GSK values hands-on experience in AI solutions.

Understand GSK's Mission

Familiarise yourself with GSK’s focus on transformative biomedical AI. Research their recent projects and initiatives to demonstrate your genuine interest in their work and how you can contribute to their goals.

Emphasise Inclusivity and Growth

Since GSK promotes an inclusive workplace, be prepared to discuss how you’ve contributed to team dynamics in the past. Also, think about your career aspirations and how they align with the opportunities for growth at GSK.