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- Tasks: Prototype models and collaborate on groundbreaking research in protein design.
- Company: Leading AI recruitment firm in the UK with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in generative ML.
- Qualifications: Strong machine learning research skills and data engineering expertise.
- Other info: Exciting environment with interdisciplinary collaboration and innovative projects.
The predicted salary is between 36000 - 60000 £ per year.
A leading machine learning and AI recruitment firm based in the United Kingdom seeks a Founder to advance generative modeling efforts. The candidate will work in a dynamic environment with interdisciplinary teams, developing impactful machine learning systems.
Responsibilities include:
- Prototyping models
- Collaborating on research
- Overseeing experimentation
Ideal applicants should possess:
- Strong machine learning research skills
- Data engineering expertise
- A track record of innovative contributions
All within a full-time capacity.
Generative ML Research Scientist — Protein Design (Hybrid) in London employer: Enigma
Contact Detail:
Enigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative ML Research Scientist — Protein Design (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the generative ML space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to protein design and generative modeling. This is your chance to demonstrate your innovative contributions and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and research experience. We recommend practising common interview questions and discussing your past projects to highlight your expertise in machine learning.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Generative ML Research Scientist — Protein Design (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your machine learning research skills and any relevant experience in protein design. We want to see how your background aligns with the role, so don’t be shy about showcasing your innovative contributions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative modeling and how you can contribute to our dynamic team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any interesting projects or prototypes, make sure to mention them! We’re keen to see examples of your work, especially those that demonstrate your data engineering expertise and collaborative spirit.
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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Enigma
✨Know Your Generative Models
Make sure you 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 real-world scenarios.
✨Showcase Your Collaboration Skills
Since you'll be working with interdisciplinary teams, prepare examples of past collaborations. Highlight how you effectively communicated complex ideas and contributed to team success, as this will demonstrate your ability to thrive in a dynamic environment.
✨Prepare for Technical Questions
Expect some deep dives into your machine learning research skills and data engineering expertise. Brush up on key concepts and be ready to solve problems on the spot, showcasing your thought process and technical prowess.
✨Demonstrate Innovation
Have a few examples ready that showcase your innovative contributions in previous roles. Discuss any unique approaches you've taken in your research or projects, as this will highlight your ability to think outside the box and drive impactful results.
