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- Tasks: Develop production-grade AI systems using cutting-edge technologies like PyTorch and TensorFlow.
- Company: Leading AI infrastructure company focused on innovation and real-world impact.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a team transforming research into scalable AI solutions that make a difference.
- Qualifications: 5+ years in applied ML with strong skills in optimization and systems programming.
- Other info: Exciting opportunity to work on real-world AI deployments from anywhere.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI infrastructure company is seeking a Senior Machine Learning Engineer to develop production-grade AI systems. You will work with technologies like PyTorch, TensorFlow, and Hugging Face, transforming research prototypes into scalable solutions across various environments.
The role requires:
- 5+ years in applied ML
- Strong skills in optimization and systems programming
This is an exciting opportunity to work on real-world AI deployments in a remote capacity.
Remote Senior ML Engineer — Production AI (Cloud/Edge) in Bristol employer: Weare5vtech
Contact Detail:
Weare5vtech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior ML Engineer — Production AI (Cloud/Edge) in Bristol
✨Tip Number 1
Network like a pro! Reach out to fellow ML engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch, TensorFlow, or Hugging Face. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for technical interviews by brushing up on optimisation techniques and systems programming. Practice coding challenges and mock interviews to build confidence and demonstrate your expertise during the real deal.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote Senior ML Engineer — Production AI (Cloud/Edge) in Bristol
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years in applied ML. We want to see how you've transformed research prototypes into scalable solutions, so don’t hold back on those details!
Tech Stack Matters: Mention your experience with PyTorch, TensorFlow, and Hugging Face. We’re keen on seeing how you’ve used these technologies in your previous projects, so give us the juicy bits!
Optimisation Skills Are Key: Since optimisation is crucial for this role, share specific examples of how you've tackled optimisation challenges in your past work. We love a good problem-solving story!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Weare5vtech
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like PyTorch, TensorFlow, and Hugging Face. Brush up on your knowledge of these frameworks and be ready to discuss how you've used them in past projects.
✨Showcase Your Experience
With 5+ years in applied ML, you’ll want to highlight specific projects where you transformed research prototypes into scalable solutions. Prepare examples that demonstrate your optimisation skills and systems programming expertise.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving abilities and understanding of machine learning concepts. Practice coding challenges or system design questions relevant to AI deployments to feel more confident.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s projects and future directions. This not only demonstrates your enthusiasm but also helps you gauge if the role aligns with your career goals.
