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- Tasks: Design scalable software solutions and implement machine learning pipelines for AI models.
- Company: Join GlaxoSmithKline's innovative AI for Science team in London.
- Benefits: Collaborative work environment with opportunities for growth and diverse backgrounds welcomed.
- Other info: Exciting career development opportunities in a dynamic tech environment.
- Why this job: Make a real impact in science through cutting-edge AI technology.
- Qualifications: Degree in a quantitative discipline and strong Python skills required.
The predicted salary is between 50000 - 70000 £ per year.
GlaxoSmithKline is seeking Software Engineers to join their AI for Science (AI4S) team in London. The role involves designing scalable software solutions for AI models, implementing machine learning pipelines, and developing cloud technologies.
Successful candidates will have a degree in a quantitative discipline, strong Python skills, and experience with cloud platforms.
GSK values diversity and encourages applications from all backgrounds, offering a collaborative work environment with opportunities for growth.
AIML Software Engineer — AI for Science in London employer: GlaxoSmithKline
Contact Detail:
GlaxoSmithKline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AIML Software Engineer — AI for Science 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 about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and machine learning concepts. We can even set up mock interviews with friends or use online platforms to simulate the real deal.
✨Tip Number 3
Showcase our projects! If we’ve worked on relevant AI or cloud tech projects, let’s have them ready to discuss. Real-world examples can really make us stand out during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our skills match what GSK is looking for.
We think you need these skills to ace AIML Software Engineer — AI for Science in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AIML Software Engineer role. Highlight your Python skills and any experience with cloud platforms, as these are key for us at GSK. A personalised CV shows you’re genuinely interested in the position!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI for Science and how your background fits the role. We love seeing enthusiasm and a clear connection to our mission.
Showcase Relevant Projects: If you've worked on any projects related to machine learning or scalable software solutions, make sure to mention them. We want to see what you've done and how it relates to the work we do at GSK!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to navigate!
How to prepare for a job interview at GlaxoSmithKline
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant cloud technologies before the interview. Be ready to discuss specific projects where you've implemented machine learning pipelines or designed scalable software solutions. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or coding challenges during the interview. Practice common algorithms and data structures, and think about how you would approach problems related to AI for Science. Being able to articulate your thought process is just as important as getting the right answer.
✨Emphasise Collaboration
GSK values a collaborative work environment, so be ready to share examples of how you've worked effectively in teams. Discuss any experiences where you’ve collaborated with others to achieve a common goal, especially in tech-related projects. This will highlight your ability to fit into their culture.
✨Research GSK and AI for Science
Take some time to learn about GlaxoSmithKline and their AI for Science initiatives. Understanding their mission and recent projects will help you tailor your answers and demonstrate genuine interest in the role. It’s a great way to connect your skills with what they’re looking for.