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- Tasks: Lead a team to apply AI and machine learning in biotech for tissue manufacturing.
- Company: Join a cutting-edge company at the intersection of biotechnology and artificial intelligence.
- Benefits: Enjoy a collaborative environment with opportunities for impactful projects and innovation.
- Why this job: Make a difference in biotech by optimizing human tissue production using advanced ML techniques.
- Qualifications: 3+ years in a leadership role, strong Python skills, and experience with ML frameworks required.
- Other info: Ideal for those passionate about AI's role in advancing healthcare and research.
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.
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.
Senior Machine Learn employer: Gloo
Contact Detail:
Gloo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learn
✨Tip Number 1
Make sure to showcase your leadership experience in machine learning teams. Highlight specific projects where you guided the deployment of ML models and collaborated with cross-functional teams, especially in biotech.
✨Tip Number 2
Familiarize yourself with the latest advancements in AI and machine learning, particularly in the context of biotechnology. Being able to discuss recent trends or breakthroughs can set you apart during discussions.
✨Tip Number 3
Prepare to demonstrate your hands-on experience with modern ML tools and frameworks like PyTorch. Be ready to discuss how you've used these tools in previous roles to solve complex problems.
✨Tip Number 4
Since communication is key for this role, practice articulating your data-driven decision-making process. Be prepared to explain how you’ve effectively communicated technical concepts to non-technical stakeholders.
We think you need these skills to ace Senior Machine Learn
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 human tissue manufacturing or similar fields.
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 data management and analysis software that you've developed, particularly in collaboration with biology teams.
Demonstrate Collaboration Abilities: Provide examples of how you've successfully collaborated with cross-functional teams. Highlight instances where your communication skills led to clear, data-driven decision-making and impactful project outcomes.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements of the Head of Machine Learning position. Use keywords from the job description to align your application with what the company is looking for.
How to prepare for a job interview at Gloo
✨Showcase Your Leadership Experience
Since the role requires a leader, be prepared to discuss your previous leadership experiences in technology or ML-driven teams. Highlight specific projects where you guided a team and the impact of your leadership on project outcomes.
✨Demonstrate Technical Proficiency
Make sure to showcase your hands-on experience with modern ML tools and frameworks, especially Python and PyTorch. Be ready to discuss how you've applied these technologies in real-world scenarios, particularly in the context of biotechnology.
✨Prepare for Cross-Functional Collaboration
This position involves working closely with engineering and biology teams. Prepare examples of how you've successfully collaborated across different disciplines, focusing on communication and teamwork to achieve common goals.
✨Discuss Data Management and Analysis
Given the emphasis on developing software for data management and analysis, be ready to talk about your experience with large datasets. Share specific instances where your data-driven decisions led to significant advancements in your projects.
