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- Tasks: Lead exciting ML R&D projects and optimise large-scale systems.
- Company: Top AI tech platform in London with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunity to work with cutting-edge technology.
- Why this job: Join a dynamic team and make a significant impact in the AI field.
- Qualifications: Expertise in deep learning, Python, PyTorch, and modern ML architectures.
- Other info: Short-term role with potential for future opportunities.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI technology platform based in London is seeking a Principal Machine Learning Engineer for a hybrid role lasting 3-6 months. The successful candidate will deliver complex ML R&D projects and enhance performance of large-scale systems.
Key requirements include:
- Strong experience in deep learning
- Proficiency in Python and PyTorch
- A solid understanding of modern ML architectures and transformers
This position is ideal for a technically skilled individual who thrives in a pure IC role.
Principal ML Engineer (Transformers) — Hybrid London, 3–6m employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal ML Engineer (Transformers) — Hybrid London, 3–6m
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those who work with transformers. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in deep learning and Python. This is your chance to demonstrate your expertise and passion for ML engineering.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of modern ML architectures. We recommend practicing coding challenges and discussing your thought process out loud to impress interviewers.
✨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 Principal ML Engineer (Transformers) — Hybrid London, 3–6m
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deep learning, Python, and PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Principal ML Engineer role. Share your passion for ML and any specific experiences that relate to transformers or large-scale systems.
Showcase Your Projects: If you’ve worked on any interesting ML R&D projects, make sure to mention them in your application. We love seeing real-world applications of your skills, especially if they involve modern ML architectures!
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 our team!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Transformers
Make sure you brush up on your knowledge of transformers and modern ML architectures. Be ready to discuss how you've applied these concepts in past projects, as this will show your depth of understanding and practical experience.
✨Showcase Your Python and PyTorch Skills
Prepare to demonstrate your proficiency in Python and PyTorch during the interview. You might be asked to solve a coding problem or explain your approach to a specific ML task, so practice coding challenges related to deep learning beforehand.
✨Discuss Complex Projects
Think of examples from your previous work where you delivered complex ML R&D projects. Be ready to explain the challenges you faced, how you overcame them, and the impact of your work on system performance. This will highlight your problem-solving skills and technical expertise.
✨Emphasise Your Independent Contributor Role
Since this role is ideal for someone who thrives in an individual contributor position, be prepared to discuss how you manage your time and projects independently. Share examples of how you've taken initiative and driven projects forward without much oversight.