Machine Learning Engineer for Scientific Discovery

Machine Learning Engineer for Scientific Discovery

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop ML-powered software to tackle complex biological challenges and accelerate scientific discovery.
  • Company: The Francis Crick Institute, a leading research centre in London.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career development.
  • Why this job: Join a dynamic team and make a real impact in biomedical research with cutting-edge technology.
  • Qualifications: Experience in machine learning and software engineering, with a passion for scientific discovery.

The predicted salary is between 72000 - 88000 £ per year.

The Francis Crick Institute in London is recruiting a Machine Learning Software Engineer to join the Software Engineering and AI team. You will develop ML-powered biomedical software, collaborating closely with researchers and technical specialists to accelerate discovery and deliver scalable applications.

You will design, implement, and deploy solutions for complex biological challenges, applying your ML expertise and engineering practices to ensure reliability and reproducibility.

Machine Learning Engineer for Scientific Discovery employer: Francis Crick Institute

The Francis Crick Institute is an exceptional employer, offering a dynamic and collaborative work environment that fosters innovation and creativity in biomedical research. With generous benefits such as 28 days of annual leave, a robust pension scheme, and comprehensive health and well-being support, employees are empowered to thrive both personally and professionally. The institute's commitment to diversity and inclusion, along with opportunities for growth and development, makes it an ideal place for those looking to make a meaningful impact in the field of science.

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Contact Details:

Francis Crick Institute Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer for Scientific Discovery

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Francis Crick Institute or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Francis Crick Institute.

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Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Machine Learning Engineer for Scientific Discovery

Machine Learning
Software Engineering
Biomedical Software Development
Collaboration
Scalable Application Development
Solution Design
Implementation

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Francis Crick Institute.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Francis Crick Institute and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Francis Crick Institute

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Francis Crick Institute uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.