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- Tasks: Lead a team to apply AI and machine learning in biotech for human tissue manufacturing.
- Company: Join an innovative company at the forefront of biotechnology and artificial intelligence.
- Benefits: Enjoy collaboration across teams and the chance to make a real impact in research.
- Why this job: This role offers the chance to drive advancements in biotech using cutting-edge ML techniques.
- Qualifications: 3+ years in a leadership role with strong Python and ML framework skills required.
- Other info: Ideal for those passionate about merging technology with life sciences.
The predicted salary is between 48000 - 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.
Expertise in machine learning for computer vision.
Hands-on experience with modern ML tools and frameworks (e.g., Experience developing software for data management and analysis, especially in collaboration with biology teams.
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.
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.
Background working with large datasets or scientific research publications.
Experience developing AI-first software products, particularly in the biotech field.
If you are passionate about leveraging machine learning to drive meaningful advancements in biotechnology, this is the perfect opportunity for you.
Machine Learning employer: Gloo
Contact Detail:
Gloo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning, especially in the context of biotechnology. Understanding how AI can optimize human tissue manufacturing will give you a significant edge during discussions with our team.
✨Tip Number 2
Showcase your leadership experience by preparing examples of how you've successfully guided teams in deploying machine learning models. Highlight any cross-functional collaborations you've led, particularly with engineering or biology teams.
✨Tip Number 3
Brush up on your Python and ML frameworks like PyTorch. Being able to discuss specific projects where you've utilized these tools will demonstrate your hands-on experience and technical expertise.
✨Tip Number 4
Prepare to discuss your approach to developing training, testing, and deployment infrastructure for machine learning models. We value candidates who can articulate their strategies for model selection and engineering in production environments.
We think you need these skills to ace Machine Learning
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your leadership experience in machine learning and biotechnology. Detail specific projects where you applied advanced AI techniques, especially in the context of manufacturing human tissue or similar applications.
Showcase Technical Skills: Clearly list your proficiency in Python, ML frameworks like PyTorch, and any experience with cloud infrastructure. Mention any hands-on experience with modern ML tools and frameworks that are relevant to the role.
Demonstrate Collaboration Abilities: Provide examples of how you've successfully collaborated with cross-functional teams, particularly with engineering and biology teams. Highlight any projects where you worked on data management and analysis in a collaborative environment.
Communicate Your Vision: In your application, articulate your vision for leveraging machine learning in biotechnology. Discuss how you plan to drive impactful project outcomes and the strategic direction you would provide as a leader in this field.
How to prepare for a job interview at Gloo
✨Showcase Your Leadership Experience
Be prepared to discuss your previous leadership roles and how you've successfully guided teams in machine learning projects. Highlight specific examples where you led a team to achieve impactful outcomes, especially in a biotech or AI context.
✨Demonstrate Technical Proficiency
Make sure to showcase your hands-on experience with modern ML tools and frameworks like PyTorch. Be ready to discuss your familiarity with Python, cloud infrastructure, and CI systems, as well as any relevant projects you've worked on.
✨Emphasize Collaboration Skills
Since this role involves working closely with engineering and biology teams, prepare to share examples of how you've effectively collaborated across disciplines. Discuss how you’ve contributed to projects that required input from diverse teams.
✨Prepare for Data-Driven Discussions
Expect to engage in conversations about data management and analysis. Be ready to explain your approach to handling large datasets and how you've used data to drive decision-making in past projects.
