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- Tasks: Manage the lifecycle of machine learning models and collaborate with diverse teams.
- Company: Fast-growing tech company in Greater London with a focus on innovation.
- Benefits: Competitive compensation and excellent growth opportunities.
- Why this job: Join a dynamic team and make an impact in the world of machine learning.
- Qualifications: MSc or PhD in Machine Learning, strong Python and PyTorch skills.
- Other info: Exciting projects and a collaborative work environment await you.
The predicted salary is between 42000 - 60000 £ per year.
A fast-growing technology company in Greater London is seeking an Applied Research Engineer to manage the end-to-end lifecycle of machine learning models. This role involves collaboration with various teams to adapt and deploy models in production environments.
The ideal candidate will have:
- An MSc or PhD in Machine Learning or a related field
- Strong skills in Python and PyTorch
- Hands-on experience with post-training techniques
Competitive compensation and growth opportunities are offered.
Production-Focused Applied ML Research Engineer employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production-Focused Applied ML Research Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning field on LinkedIn or at local meetups. 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 machine learning projects, especially those involving Python and PyTorch. 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 common ML concepts and post-training techniques. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 are proactive about their job search!
We think you need these skills to ace Production-Focused Applied ML Research Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and PyTorch in your application. We want to see how you've used these tools in real-world projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to managing machine learning models and collaborating with teams, as this is key for us.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to the team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at BioTalent
✨Know Your ML Models Inside Out
Make sure you can discuss the end-to-end lifecycle of machine learning models confidently. Brush up on your knowledge of model deployment and post-training techniques, as these will likely come up in conversation.
✨Showcase Your Python and PyTorch Skills
Prepare to demonstrate your coding skills in Python and your experience with PyTorch. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning to keep your skills sharp.
✨Collaborate Like a Pro
Since this role involves working with various teams, be ready to discuss your past experiences collaborating with others. Share specific examples of how you’ve successfully worked in a team to adapt and deploy models.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to machine learning and their production environments. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
