At a Glance
- Tasks: Build and scale innovative ML models for top-tier clients in a hybrid setup.
- Company: Owen Thomas | B Corp™, known for its commitment to social responsibility.
- Benefits: Up to £120k salary, equity options, and private health insurance.
- Other info: Exciting opportunity for career growth in a dynamic B2B environment.
- Why this job: Join a diverse team and make an impact with cutting-edge AI solutions.
- Qualifications: Strong Python skills, statistics knowledge, and ML product deployment experience.
The predicted salary is between 120000 - 120000 £ per year.
Owen Thomas | B Corp™ is seeking a Senior Machine Learning Engineer to work on innovative AI solutions in a hybrid setup. The candidate will collaborate with a diverse team to build and scale ML models that drive functionality for top-tier clients. This role requires strong technical expertise in Python, statistics, and proven experience in ML product deployment.
Offering a salary up to £120,000, equity options, and private health insurance, this position focuses on demand prediction and resource optimization in a robust B2B environment.
Senior ML Engineer - Hybrid (London) | Up to £120k + Equity employer: Owen Thomas | B Corp™
Contact Detail:
Owen Thomas | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Hybrid (London) | Up to £120k + Equity
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Owen Thomas or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best ML projects. Whether it's GitHub repos or case studies, having tangible evidence of your expertise in Python and ML deployment will make you stand out.
✨Tip Number 3
Ace the interview! Research common ML interview questions and practice your answers. Be ready to discuss your experience with demand prediction and resource optimisation, as these are key for the role.
✨Tip Number 4
Apply through our website! We encourage you to submit your application directly on our platform. It’s the best way to ensure your CV gets seen by the right people and shows your enthusiasm for the role.
We think you need these skills to ace Senior ML Engineer - Hybrid (London) | Up to £120k + Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, statistics, and ML product deployment. We want to see how your skills align with the role, 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 excited about working on innovative AI solutions and how you can contribute to our diverse team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool ML models or projects, make sure to mention them in your application. We love seeing real-world applications of your skills, especially those that relate to demand prediction and resource optimisation.
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 don’t miss out on any important updates from our team!
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 those related to demand prediction and resource optimisation. Be ready to discuss your experience with Python and any ML models you've deployed in the past.
✨Showcase Your Team Spirit
Since this role involves collaboration with a diverse team, be prepared to share examples of how you've worked effectively in teams before. Highlight your communication skills and how you contribute to a positive team dynamic.
✨Prepare for Technical Questions
Expect some technical questions that will test your knowledge of statistics and ML algorithms. Practise explaining complex concepts in simple terms, as this shows your depth of understanding and ability to communicate effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects or challenges they face in deploying ML solutions, which can demonstrate your enthusiasm and strategic thinking.