At a Glance
- Tasks: Join a team tackling climate change using Python and machine learning.
- Company: Leading tech scale-up in London focused on sustainability.
- Benefits: Flexible work, competitive salary, stock options, and autonomy.
- Other info: Dynamic, rapidly growing team with great opportunities for growth.
- Why this job: Make a real impact on the planet while advancing your career.
- Qualifications: Expertise in Python, AWS, and Agile practices required.
The predicted salary is between 90000 - 110000 £ per year.
A leading technology scale-up located in London is looking for a Senior Software Engineer with expertise in Python and AWS. This role emphasizes collaboration within cross-functional teams to tackle climate change challenges using machine learning technology. The company offers a flexible work environment, promoting autonomy and ownership. Ideal candidates should have a solid background in Agile practices and be eager to thrive in a rapidly growing team. A competitive salary of £90-£110,000 plus stock options is offered.
Senior Python Engineer – ML for Carbon Reduction (Hybrid) employer: Burns Sheehan
Join a pioneering technology scale-up in London that is dedicated to making a positive impact on climate change through innovative machine learning solutions. With a strong emphasis on collaboration and a flexible work environment, employees enjoy autonomy and the opportunity for professional growth within a rapidly expanding team. The competitive salary package, including stock options, reflects the company's commitment to attracting top talent who are passionate about sustainability.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Engineer – ML for Carbon Reduction (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python and machine learning. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview like it’s a coding challenge! Brush up on your technical skills and be ready to discuss how you've used Python and AWS in real-world scenarios. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior Python Engineer – ML for Carbon Reduction (Hybrid)
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python in your application. We want to see how you've used it in real-world projects, especially if you've tackled any machine learning challenges.
Emphasise Collaboration:Since this role involves working with cross-functional teams, let us know about your teamwork experiences. Share examples of how you've collaborated with others to achieve common goals, especially in Agile environments.
Tailor Your Application:Don’t just send a generic CV and cover letter. We love seeing applications that are tailored to the role. Mention specific projects or experiences that relate directly to carbon reduction and machine learning.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Burns Sheehan
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python in machine learning applications, especially in relation to carbon reduction.
✨Familiarise Yourself with AWS
Since the role requires expertise in AWS, take some time to review the services that are most relevant to machine learning. Be prepared to explain how you've leveraged AWS in past projects and how it can be applied to tackle climate change.
✨Emphasise Collaboration Skills
This position values teamwork, so think of examples where you've successfully collaborated with cross-functional teams. Highlight your experience in Agile practices and how they’ve helped you deliver results in a fast-paced environment.
✨Show Your Passion for Climate Change
Demonstrate your enthusiasm for using technology to combat climate change. Research the company's initiatives and be ready to discuss how your skills can contribute to their mission. This will show that you're not just looking for a job, but that you genuinely care about the cause.
