At a Glance
- Tasks: Build and scale innovative machine learning models for exciting AI projects.
- Company: Owen Thomas | B Corp™, a leader in ethical tech solutions.
- Benefits: Up to £120,000 salary, equity options, and private health insurance.
- Other info: Enjoy a hybrid work model with opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of customer-facing applications.
- Qualifications: Strong skills in statistics, Python, and machine learning products.
The predicted salary is between 120000 - 120000 £ per year.
Owen Thomas | B Corp™ is seeking a Senior Machine Learning Engineer to work on cutting-edge AI projects in a hybrid model. The role involves building, maintaining, and scaling machine learning models that influence customer-facing apps and internal systems.
Ideal candidates should have strong expertise in statistics, Python, and ML products, with a focus on demand prediction.
The position offers a salary of up to £120,000, equity options, and private health insurance.
Senior ML Engineer - Hybrid London, Equity + Health employer: Owen Thomas | B Corp™
Owen Thomas | B Corp™ is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and machine learning. With a hybrid working model based in London, employees benefit from competitive salaries, equity options, and comprehensive health insurance, alongside ample opportunities for professional growth and development in a supportive environment focused on impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer - Hybrid London, Equity + Health
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML engineers. 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 machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your statistics and Python skills, and be ready to discuss your experience with ML products. Practice common interview questions and maybe even do some mock interviews with friends.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role. Plus, applying directly shows your enthusiasm and commitment to joining our team at Owen Thomas.
We think you need these skills to ace Senior ML Engineer - Hybrid London, Equity + Health
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in statistics, Python, and machine learning products. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with demand prediction!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their background to what we’re looking for in a Senior ML Engineer.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Owen Thomas | B Corp™
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around demand prediction. Be ready to discuss your experience with building and scaling models, as well as any specific projects you've worked on that relate to customer-facing applications.
✨Python Proficiency is Key
Since Python is a must-have for this role, practice coding challenges or review your past projects. You might be asked to solve a problem on the spot, so being comfortable with Python syntax and libraries will give you an edge.
✨Statistics Savvy
Don’t forget to highlight your statistical knowledge! Be prepared to explain how you’ve used statistics in your previous roles, particularly in relation to machine learning. This could involve discussing data analysis techniques or model evaluation metrics.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions about the company’s AI projects and their approach to machine learning. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
