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- Tasks: Deploy and enhance ML components for real-world industrial applications.
- Company: Innovative UK tech startup focused on energy efficiency.
- Benefits: Fully remote work, competitive salary, and impactful projects.
- Why this job: Make a significant impact on global energy efficiency with cutting-edge technology.
- Qualifications: Strong Python skills and experience in productionising ML models.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
An innovative tech startup based in the UK seeks a Machine Learning Engineer to deploy and harden ML components for industrial applications. This role involves owning end-to-end ML pipelines, adapting models to specific data, and collaborating with research teams.
Ideal candidates will have a strong background in Python and deep learning frameworks, with proven experience in productionizing ML models. This position is fully remote and offers a chance to impact global energy efficiency significantly.
Remote ML Engineer — Production-Ready, Physics‐Informed in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer — Production-Ready, Physics‐Informed in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. We can’t stress enough how personal connections can lead to job opportunities, especially in tech.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and deep learning frameworks. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of ML pipelines and productionizing models. 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 seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote ML Engineer — Production-Ready, Physics‐Informed in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and deep learning frameworks in your application. We want to see how you've tackled real-world problems and productionised ML models, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with our focus on industrial applications and energy efficiency. We love seeing candidates who understand our mission!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for the role!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around productionising models. Be ready to discuss your experience with Python and deep learning frameworks in detail, as this will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Prepare to talk about specific projects where you've deployed ML components. Highlight any challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to own end-to-end ML pipelines.
✨Collaboration is Key
Since the role involves working with research teams, be ready to discuss how you’ve collaborated in the past. Share examples of how you’ve communicated complex ideas to non-technical stakeholders or worked in cross-functional teams to achieve a common goal.
✨Impact on Energy Efficiency
Understand the broader implications of your work in the context of global energy efficiency. Be prepared to discuss how your contributions can make a difference and align with the company’s mission. This shows that you’re not just looking for a job, but are genuinely interested in making an impact.
