At a Glance
- Tasks: Develop innovative models for creating functional proteins using generative ML techniques.
- Company: Leading research organisation in Greater London with a focus on collaboration.
- Benefits: Competitive pay, flexible working, and professional development opportunities.
- Why this job: Join a diverse team and make a real impact in the field of protein design.
- Qualifications: Expertise in machine learning and generative modeling required.
- Other info: Dynamic and inclusive environment with great career growth potential.
The predicted salary is between 43200 - 72000 Β£ per year.
A leading research organization in Greater London seeks a machine learning researcher with expertise in generative modeling. You will develop novel models for creating functional proteins, work in a collaborative environment alongside scientists and engineers, and ensure robust data systems.
Competitive compensation, flexible working arrangements, and opportunities for professional development are offered to foster a diverse and inclusive team.
Generative ML Researcher: Protein Design & GenAI (Hybrid) in London employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Generative ML Researcher: Protein Design & GenAI (Hybrid) in London
β¨Tip Number 1
Network like a pro! Reach out to professionals in the field of generative modelling and protein design. Attend meetups or webinars, and donβt be shy to slide into DMs on LinkedIn β you never know who might have the inside scoop on job openings.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to generative ML and protein design. This could be anything from research papers to GitHub repositories. When you apply through our website, make sure to highlight these in your application!
β¨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences. Practice common interview questions and think about how your skills can contribute to a collaborative environment with scientists and engineers.
β¨Tip Number 4
Follow up after applying! A quick email to express your enthusiasm can set you apart from other candidates. It shows that youβre genuinely interested in the role and keeps you on their radar. Remember, we want to see your passion for the field!
We think you need these skills to ace Generative ML Researcher: Protein Design & GenAI (Hybrid) in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with generative modeling and protein design. We want to see how your skills align with the role, so donβt be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about generative ML and how you can contribute to our collaborative environment. Let us know what excites you about this opportunity!
Showcase Your Collaborative Spirit: Since we value teamwork, mention any past experiences where youβve worked alongside scientists or engineers. Highlighting your ability to collaborate will show us youβre a great fit for our diverse team.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates from our team!
How to prepare for a job interview at Enigma
β¨Know Your Generative Models
Brush up on the latest advancements in generative modelling, especially as it relates to protein design. Be ready to discuss specific models you've worked with and how they can be applied in a collaborative research environment.
β¨Showcase Your Collaborative Spirit
Since you'll be working alongside scientists and engineers, highlight your teamwork experiences. Prepare examples of past projects where you successfully collaborated with others to achieve a common goal.
β¨Demonstrate Data Savvy
Familiarise yourself with robust data systems relevant to machine learning. Be prepared to discuss how you ensure data integrity and how youβve handled data challenges in previous roles.
β¨Ask Insightful Questions
Prepare thoughtful questions about the organisation's approach to diversity and inclusion, as well as professional development opportunities. This shows your genuine interest in their values and culture.