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- Tasks: Lead a team applying AI to optimize human tissue manufacturing.
- Company: Join a pioneering company at the intersection of biotechnology and AI.
- Benefits: Work in an inclusive environment with cutting-edge technology.
- Why this job: Make a real impact in biotech while collaborating with diverse teams.
- Qualifications: 3+ years in leadership, expertise in Python and ML frameworks required.
- Other info: Ideal for those passionate about AI advancements in biotechnology.
The predicted salary is between 54000 - 84000 £ per year.
We are seeking a Head of Machine Learning to lead an innovative team at the intersection of biotechnology and artificial intelligence. This role focuses on applying advanced AI and machine learning techniques to optimize and advance the manufacturing of human tissue for research and therapeutic applications.
The position requires a leader who can guide the deployment of machine learning models into production while collaborating across teams. This includes working with engineering teams on infrastructure and internal applications and biology teams on cell experiments, microscopy data collection, and differentiation protocol development.
About You
You should have:
- Extensive experience leading Deep Learning teams.
- Expertise in machine learning for computer vision.
- Hands-on experience with modern ML tools and frameworks (e.g., PyTorch, Detectron) in production environments.
- Experience developing software for data management and analysis, especially in collaboration with biology teams.
Key Responsibilities
- Lead the AI/ML team, providing strategic and technical direction.
- Develop training, testing, and deployment infrastructure for machine learning models.
- Drive the selection and engineering of models for production, including choosing appropriate ML frameworks.
- Collaborate with cross-functional teams to deliver impactful project outcomes.
- Create internal applications and data products to support biological research.
Requirements
- 3+ years of experience in a leadership role within a technology or ML-driven team.
- Strong proficiency in Python, ML frameworks like PyTorch, cloud infrastructure, and CI systems.
- Exceptional communication skills for clear, data-driven decision-making.
Preferred Qualifications
- Interest or experience in biotechnology or biology.
- Background working with large datasets or scientific research publications.
- Experience developing AI-first software products, particularly in the biotech field.
What We Offer
- The opportunity to work at the cutting edge of AI, stem cell biology, and cell therapy development.
- An inclusive, collaborative, and intellectually stimulating work environment.
If you are passionate about leveraging machine learning to drive meaningful advancements in biotechnology, this is the perfect opportunity for you.
Head of Machine Learning employer: Gloo
Contact Detail:
Gloo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Machine Learning
✨Tip Number 1
Make sure to showcase your leadership experience in machine learning. Highlight specific projects where you led a team, especially those that involved deep learning and computer vision, as this is crucial for the role.
✨Tip Number 2
Demonstrate your hands-on experience with modern ML tools like PyTorch and Detectron. Be prepared to discuss how you've implemented these frameworks in production environments and the impact it had on your projects.
✨Tip Number 3
Emphasize your ability to collaborate across teams, particularly with biology teams. Share examples of how you've worked together to achieve common goals, especially in developing applications that support biological research.
✨Tip Number 4
If you have any experience or interest in biotechnology, make sure to mention it. This can set you apart from other candidates and show your passion for the field, which aligns perfectly with our mission at StudySmarter.
We think you need these skills to ace Head of Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in leading Deep Learning teams and your expertise in machine learning for computer vision. Include specific projects where you applied advanced AI techniques, especially in production environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for biotechnology and how your background aligns with the company's mission. Discuss your hands-on experience with ML tools like PyTorch and your ability to collaborate with cross-functional teams.
Showcase Relevant Projects: Include examples of past projects that demonstrate your leadership in AI/ML, particularly those involving collaboration with biology teams or the development of AI-first software products in the biotech field.
Highlight Communication Skills: Since exceptional communication skills are crucial for this role, provide examples in your application that showcase your ability to make clear, data-driven decisions and effectively communicate complex ideas to diverse teams.
How to prepare for a job interview at Gloo
✨Showcase Your Leadership Experience
Be prepared to discuss your previous leadership roles in machine learning teams. Highlight specific projects where you guided your team to success, focusing on how you managed challenges and drove innovation.
✨Demonstrate Technical Proficiency
Make sure to articulate your hands-on experience with modern ML tools and frameworks like PyTorch and Detectron. Be ready to provide examples of how you've applied these technologies in production environments, especially in relation to computer vision.
✨Highlight Cross-Functional Collaboration
Since this role involves working closely with engineering and biology teams, prepare to share examples of successful collaborations. Discuss how you facilitated communication and aligned goals across different disciplines to achieve impactful outcomes.
✨Express Your Passion for Biotechnology
Convey your interest in biotechnology and how it intersects with machine learning. Share any relevant experiences or projects that demonstrate your commitment to advancing research and therapeutic applications in this field.
