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- Tasks: Scale data optimisation techniques to enhance ML model performance and collaborate with research teams.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a team working on cutting-edge technologies and make a real impact in AI/ML.
- Qualifications: PhD or in progress, strong Python skills, and experience in AI.
- Other info: Exciting projects in a collaborative atmosphere with excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech company in Greater London is seeking a Software Engineer to scale data optimization techniques that enhance ML model performance. Candidates should hold a PhD or be in progress towards one, with substantial experience in artificial intelligence and related fields.
The role involves close collaboration with research teams, and the opportunity to work on critical projects. Strong Python skills and a solid foundation in software design are required. This position offers the chance to work on innovative technologies in a dynamic environment.
AI/ML Software Engineer - Data-Driven, Scalable Systems in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Software Engineer - Data-Driven, Scalable Systems in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. This is your chance to demonstrate your expertise in Python and software design, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with data optimization techniques and collaboration with research teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI/ML Software Engineer - Data-Driven, Scalable Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any experience you have with AI/ML. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your experience can help us scale data optimisation techniques and enhance ML model performance. It shows you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role – we want to understand your experience without getting lost in technical terms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Google
✨Know Your Stuff
Make sure you brush up on your AI and ML knowledge. Be ready to discuss your PhD research or any relevant projects in detail. The interviewers will want to see how your experience aligns with their data optimization techniques.
✨Showcase Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Collaborate Like a Pro
This role involves working closely with research teams, so be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated on projects and how you handle differing opinions within a team.
✨Stay Current with Trends
The tech world moves fast, especially in AI and ML. Familiarise yourself with the latest trends and technologies in the field. Being able to discuss recent advancements will show your passion and commitment to continuous learning.
