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- Tasks: Lead ML projects, optimise compute clusters, and design scalable solutions for GenAI in biology.
- Company: Cutting-edge tech company in Greater London with a vibrant team culture.
- Benefits: Competitive compensation, hybrid work options, and a dynamic work environment.
- Why this job: Join a pioneering team and make a significant impact in the field of biology.
- Qualifications: Experience with Kubernetes, cloud platforms, HPC frameworks, and DevOps tools.
- Other info: Exciting opportunity for career growth in a high-performance computing environment.
The predicted salary is between 54000 - 84000 £ per year.
A cutting-edge technology company in Greater London seeks a highly skilled machine learning research engineer to manage its high-performance computing environment. This role involves deploying, maintaining, and optimizing compute clusters, designing scalable solutions for ML inference, and contributing to model APIs for external use.
Ideal candidates have deep experience with Kubernetes, major cloud platforms, and possess knowledge of HPC frameworks and DevOps tools.
The company offers competitive compensation, hybrid work options, and a vibrant team culture.
ML Engineering Lead for Large-Scale GenAI in Biology Hybrid employer: Latent Labs
Contact Detail:
Latent Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering Lead for Large-Scale GenAI in Biology Hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Kubernetes and cloud platforms. We want to see what you can do, so make it easy for us to be impressed!
✨Tip Number 3
Prepare for the interview like it’s a big game day. Research the company’s tech stack and come armed with questions about their HPC environment. We love candidates who are genuinely interested in what we do!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to join our vibrant team culture.
We think you need these skills to ace ML Engineering Lead for Large-Scale GenAI in Biology Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes, cloud platforms, and HPC frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML engineering in biology and how you can contribute to our vibrant team culture. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects related to ML inference or model APIs, make sure to mention them! We love seeing practical examples of your work that demonstrate your expertise and creativity.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Latent Labs
✨Know Your Tech Inside Out
Make sure you’re well-versed in Kubernetes, cloud platforms, and HPC frameworks. Brush up on your knowledge of DevOps tools too. Being able to discuss your hands-on experience with these technologies will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in managing compute clusters or optimising ML inference. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your critical thinking and problem-solving abilities.
✨Understand the Company Culture
Research the company’s values and team culture. Be ready to explain how you can contribute to their vibrant environment. Showing that you align with their culture can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you. It’s a two-way street!
