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- Tasks: Build and implement ML models to tackle complex challenges in transportation.
- Company: Premium transportation service with a focus on innovation and collaboration.
- Benefits: Stock options, relocation assistance, and a range of employee perks.
- Why this job: Join a dynamic team and make a real impact in the transportation industry.
- Qualifications: 2+ years in Data Science or ML, strong Python skills, and a STEM degree.
- Other info: Exciting opportunities for career growth in a vibrant environment.
The predicted salary is between 43200 - 72000 £ per year.
A premium transportation service is seeking mid-level and senior ML Engineers in Greater London. The role involves building and implementing models, collaborating with cross-functional teams to solve complex problems.
Ideal candidates will have:
- At least 2 years of experience in Data Science or Machine Learning
- Strong programming skills in Python
- A STEM degree
The company offers stock options, relocation assistance, and an array of perks for its employees.
Senior ML Engineer - Data Science, Equity & Relocation in London employer: Wheely Ltd.
Contact Detail:
Wheely Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Data Science, Equity & Relocation in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. You never know who might give you a heads-up about an opening or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects in Data Science and Machine Learning. This is your chance to demonstrate your programming prowess in Python and how you tackle complex problems.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your past experiences. Practising coding challenges can also help you feel more confident when it comes to technical assessments.
✨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 and take the initiative to reach out directly.
We think you need these skills to ace Senior ML Engineer - Data Science, Equity & Relocation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science and Machine Learning. We want to see how your skills in Python and your STEM background make you a perfect fit for the role!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your past experiences align with what we’re looking for. Let us know how you can contribute to our team!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build and implement models. We love seeing practical examples of your skills!
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 Wheely Ltd.
✨Know Your Models
Make sure you can discuss the machine learning models you've built in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and problem-solving skills.
✨Brush Up on Python
Since strong programming skills in Python are a must, ensure you're comfortable with key libraries like NumPy, pandas, and scikit-learn. You might be asked to solve coding problems or discuss your coding style, so practice beforehand!
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success in previous projects.
✨Understand the Company Culture
Research the company’s values and culture. Knowing what they stand for will help you tailor your answers and show that you’re a good fit. Plus, it’ll give you a chance to ask insightful questions during the interview!
