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- Tasks: Lead a team to develop large-scale ML training systems and data pipelines.
- Company: A leading biotechnology consulting firm driving AI innovation.
- Benefits: Competitive salary, ownership in projects, and impactful work in biological research.
- Why this job: Make a real difference in AI-driven research while leading a talented team.
- Qualifications: Extensive experience in ML infrastructure and commercial leadership.
- Other info: Based in London with opportunities for significant career growth.
The predicted salary is between 72000 - 108000 £ per year.
A biotechnology consulting firm is seeking a Senior Engineering Leader to oversee the development of large-scale training systems and data pipelines. This role involves leading a high-impact team, enabling scientists through seamless data access and reproducible experimentation.
Candidates should have extensive experience in ML infrastructure, commercial leadership, and distributed training systems like PyTorch. The position offers real ownership and impact in AI-driven biological research, located in London.
Head of ML Platform & AI Infrastructure in London employer: KEMIO Consulting
Contact Detail:
KEMIO Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of ML Platform & AI Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to folks in the biotech and AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to ML infrastructure or distributed training systems, make sure to highlight them during interviews.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of PyTorch and data pipelines. We want to see how you think on your feet and tackle real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Head of ML Platform & AI Infrastructure in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and biotechnology shine through. We want to see how your experience aligns with our mission of enabling scientists and driving innovation in biological research.
Highlight Relevant Experience: Make sure to showcase your extensive experience in ML infrastructure and distributed training systems like PyTorch. We’re looking for someone who can lead a high-impact team, so don’t hold back on sharing your leadership successes!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s relevant to the position!
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 this exciting opportunity in London. Don’t miss out!
How to prepare for a job interview at KEMIO Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in ML infrastructure and distributed training systems like PyTorch. Brush up on your technical knowledge and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Leadership Experience
Prepare examples that highlight your leadership skills, especially in high-impact teams. Think about times when you enabled your team or improved processes, and be ready to share those stories during the interview.
✨Understand the Business Impact
Since this role is in a biotechnology consulting firm, it’s crucial to connect your technical expertise with business outcomes. Be prepared to discuss how your work can drive AI-driven biological research and improve data access for scientists.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s vision for AI in biotechnology and how they measure success in their projects. This shows your genuine interest and helps you assess if it’s the right fit for you.