At a Glance
- Tasks: Lead the development of AI models for antibody discovery and optimise therapeutic designs.
- Company: Join a certified B Corporation focused on socially responsible recruitment.
- Benefits: Flexible hours, competitive pay, and significant influence over technical strategy.
- Other info: Collaborative hybrid work environment with opportunities for growth.
- Why this job: Make a real impact in healthcare with cutting-edge machine learning technology.
- Qualifications: 5+ years in machine learning with a focus on foundation models.
The predicted salary is between 80000 - 100000 £ per year.
SR2 | Socially Responsible Recruitment | Certified B Corporation™ is seeking a Principal Machine Learning Engineer to lead the development of core models for antibody discovery. This role is instrumental in designing AI systems to optimize therapeutic antibody design.
The ideal candidate will have over 5 years of experience with a strong focus on foundation models and machine learning in complex environments. You will work in a collaborative, hybrid setting with flexible hours and competitive compensation, offering a significant influence over technical strategy.
Principal ML Engineer: Antibody Foundation Models (Hybrid, Equity) in London employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
At SR2, we pride ourselves on being a socially responsible employer that champions innovation in the field of AI and machine learning. Our collaborative work culture fosters creativity and flexibility, allowing you to thrive in a hybrid environment while contributing to groundbreaking projects in antibody discovery. With competitive compensation and ample opportunities for professional growth, joining our team means making a meaningful impact in healthcare and advancing your career in a supportive setting.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Principal ML Engineer: Antibody Foundation Models (Hybrid, Equity) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to machine learning and antibody discovery. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss your past experiences. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal ML Engineer: Antibody Foundation Models (Hybrid, Equity) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with foundation models and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about antibody discovery and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Collaborative Spirit:Since we work in a hybrid setting, it’s important to demonstrate your ability to collaborate effectively. Share examples of how you’ve worked with others in complex environments to achieve great results.
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. Don’t miss out!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest foundation models and their applications in antibody discovery. Brush up on your technical knowledge and be ready to discuss specific projects where you've implemented these models.
✨Showcase Your Collaborative Spirit
Since this role involves working in a hybrid setting, highlight your experience in collaborative environments. Prepare examples of how you've successfully worked with cross-functional teams to achieve common goals.
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Practice explaining complex concepts clearly and concisely, as you may need to demonstrate your problem-solving skills on the spot.
✨Align with Their Vision
Research SR2’s mission and values as a Certified B Corporation™. Be ready to discuss how your personal values align with theirs, especially regarding socially responsible practices in AI and machine learning.
