Machine Learning Software Engineer - Biomedical AI in London

Machine Learning Software Engineer - Biomedical AI in London

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

  • Tasks: Develop machine learning solutions to accelerate scientific discovery in biomedical research.
  • Company: The Francis Crick Institute, a leader in biomedical innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovative projects in biology.
  • Why this job: Make a real impact on groundbreaking research while working with cutting-edge technology.
  • Qualifications: Strong Python skills, ML theory knowledge, and experience with containers and HPC.

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

The Francis Crick Institute is seeking a Machine Learning Engineer to join the Software Engineering and AI team. You will help develop ML solutions that accelerate scientific discovery and support institute-wide applications and services. You will collaborate with researchers and engineers to implement and deploy robust projects across biology-focused challenges. We expect strong Python, ML theory, reproducibility, and practical engineering skills, plus experience with containers and HPC.

Machine Learning Software Engineer - Biomedical AI in London employer: Francis Crick Institute Ltd

The Francis Crick Institute is an exceptional employer, offering a dynamic and collaborative work environment that fosters innovation and exploration in biomedical research. With generous benefits including 28 days of annual leave, a robust pension scheme, and extensive health and well-being support, employees are empowered to thrive both personally and professionally. Located in the heart of London, the institute provides unique opportunities for growth and development, making it an ideal place for those passionate about advancing human health through cutting-edge science.

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Contact Details:

Francis Crick Institute Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Software Engineer - Biomedical AI in London

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 Ltd 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 Ltd.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Francis Crick Institute Ltd.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Francis Crick Institute Ltd that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Machine Learning Software Engineer - Biomedical AI in London

Machine Learning
Python
ML Theory
Reproducibility
Practical Engineering Skills
Containers
HPC (High-Performance Computing)

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 Ltd.

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 Ltd 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 Ltd

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 Ltd 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.