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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 role with hands-on experience in cutting-edge technologies.
The predicted salary is between 43200 - 72000 £ 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 in London employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production-Focused Applied ML Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python and PyTorch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role. We want to see how you can communicate your ideas effectively!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Production-Focused Applied ML Research Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning models, especially in production environments. We want to see your skills in Python and PyTorch shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your hands-on experience with post-training techniques and how you've collaborated with teams in the past.
Showcase Your Projects: If you've worked on any relevant projects, don't hold back! Include links or descriptions that demonstrate your ability to manage the end-to-end lifecycle of machine learning models. We love seeing practical applications of your skills.
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 from us!
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.
✨Show Off 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 showcase your expertise.
✨Collaboration is Key
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.
