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- Tasks: Utilise Python and PyTorch to develop machine learning models focused on reducing carbon emissions.
- Company: Tech-focused company in Greater London with a mission to make a positive impact.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Join a passionate team and contribute to meaningful projects that combat climate change.
- Qualifications: 1-4 years of experience in deep learning and proficiency in Python and Git.
- Other info: Dynamic work environment with a strong focus on sustainability and innovation.
The predicted salary is between 40000 - 60000 £ per year.
A tech-focused company in Greater London is seeking a junior to mid-level Machine Learning Engineer to join their impact-oriented team. The role involves utilizing Python and Git, particularly PyTorch, with a focus on lowering carbon emissions.
The position offers a hybrid working model, combining office and remote work, with a salary range of £40,000 to £60,000 based on experience. Ideal candidates will have 1-4 years of experience in developing deep learning models. Apply now to make a difference!
Climate Impact ML Engineer – Hybrid London employer: WiMLDS Inc
Contact Detail:
WiMLDS Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Climate Impact ML Engineer – Hybrid London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. 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 projects, especially those related to climate impact and deep learning. This will give potential employers a taste of what you can do and how you can contribute to their mission.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company's goals. Be ready to discuss how your experience with Python, Git, and PyTorch can help lower carbon emissions. Tailor your answers to show you're a perfect fit!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and passion for making a difference. Plus, it shows you're serious about joining our impact-oriented team!
We think you need these skills to ace Climate Impact ML Engineer – Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Git, and PyTorch. We want to see how your skills align with our mission to lower carbon emissions, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about climate impact and how your background in machine learning can contribute to our goals. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any deep learning models or related projects, make sure to include them in your application. We love seeing practical examples of your work, especially if they relate to sustainability or carbon reduction.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at WiMLDS Inc
✨Know Your Tech
Make sure you brush up on your Python and PyTorch skills before the interview. Be ready to discuss any projects you've worked on that involved these technologies, as well as how you approached challenges in developing deep learning models.
✨Understand the Impact
Since this role focuses on lowering carbon emissions, do some research on how machine learning can contribute to sustainability. Be prepared to share your thoughts on the intersection of technology and environmental impact during the interview.
✨Show Your Collaboration Skills
This position is part of an impact-oriented team, so highlight any experience you have working collaboratively. Think of examples where you’ve successfully worked with others to achieve a common goal, especially in tech projects.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s projects and goals related to climate impact. This shows your genuine interest in the role and helps you understand how you can contribute to their mission.
