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- Tasks: Develop and deploy machine learning algorithms to solve real business challenges.
- Company: Leading home improvement company in Greater London with a focus on innovation.
- Benefits: Hybrid/remote work, inclusive culture, and opportunities for personal growth.
- Why this job: Join a diverse team and make an impact through innovative AI solutions.
- Qualifications: Strong Python and SQL skills with a solid understanding of data science principles.
- Other info: Collaborative environment that encourages creativity and professional development.
The predicted salary is between 43200 - 72000 £ per year.
A leading home improvement company in Greater London seeks a Senior Machine Learning Engineer to develop and deploy machine learning algorithms. The ideal candidate has strong Python and SQL skills and a solid understanding of data science principles.
Responsibilities include:
- Developing high-quality models
- Documenting processes
- Collaborating with cross-functional teams to address business challenges
This role offers the chance to innovate within an inclusive environment, contributing to a diverse team while encouraging personal growth.
Senior ML Engineer — Hybrid/Remote Production AI employer: Why Not Remote
Contact Detail:
Why Not Remote Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Hybrid/Remote Production AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your Python and SQL prowess.
✨Tip Number 3
Prepare for the interview by brushing up on data science principles and common ML algorithms. We recommend practising with mock interviews to build confidence and refine your answers to technical questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer — Hybrid/Remote Production AI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you’ve used these tools in real-world scenarios, so don’t hold back on sharing specific examples!
Document Your Journey: Since documenting processes is key in this role, include any relevant experience you have with documentation in your application. We love seeing how you keep track of your work and share knowledge with others.
Collaborate Like a Pro: This position involves working with cross-functional teams, so let us know about your teamwork experiences. Share stories that showcase your ability to collaborate and tackle business challenges together.
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 this exciting opportunity to innovate with us!
How to prepare for a job interview at Why Not Remote
✨Know Your Algorithms
Brush up on your machine learning algorithms and be ready to discuss how you've applied them in past projects. Be prepared to explain your thought process when developing models, as this will showcase your understanding of data science principles.
✨Showcase Your Python and SQL Skills
Since strong Python and SQL skills are crucial for this role, make sure you can demonstrate your proficiency. Consider preparing a small coding challenge or discussing specific projects where you used these languages effectively.
✨Collaborate Like a Pro
This position 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 tackled business challenges through teamwork.
✨Embrace the Company Culture
Research the company’s values and culture, especially their focus on inclusivity and personal growth. During the interview, express how you align with these values and how you can contribute to a diverse team environment.
