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- Tasks: Own and design scalable AI pipelines while mentoring fellow engineers.
- Company: Leading AI data solutions company in the UK with a focus on innovation.
- Benefits: Competitive salary, mentorship from founders, and impactful work on enterprise systems.
- Why this job: Make a real-world impact using ML technologies in a dynamic environment.
- Qualifications: 5+ years of ML experience and strong Python skills required.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI data solutions company in the UK seeks a Senior Machine Learning Engineer to take ownership of production ML systems, design scalable pipelines, and mentor other engineers.
A minimum of 5 years of ML experience and strong Python skills are required, along with a passion for solving real-world problems using ML technologies.
This role offers the chance to work directly with company founders and impact mission-critical systems used by high-tier enterprise customers.
Senior ML Engineer: Own Production-Scale AI Pipelines in London employer: Boam AI
Contact Detail:
Boam AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Own Production-Scale AI Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or even local tech events. You never know who might have a lead on that Senior ML Engineer role we’re all after!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML projects. Whether it’s GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your passion for solving real-world problems.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with production-scale ML systems. We recommend practicing common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your experience and passion for ML, and let’s get you that dream job together!
We think you need these skills to ace Senior ML Engineer: Own Production-Scale AI Pipelines in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of ML experience in your application. We want to see how you've tackled real-world problems and the impact your work has had on previous projects.
Python is Key: Since strong Python skills are a must, don’t forget to showcase your proficiency. Include specific examples of projects where you’ve used Python to design scalable ML pipelines or systems.
Be Passionate: Let your passion for machine learning shine through! Share why you love solving problems with ML technologies and how you stay updated with the latest trends in the field.
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!
How to prepare for a job interview at Boam AI
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your past projects in detail, especially those involving production-scale systems. Highlight how you've designed scalable pipelines and the impact of your work on real-world problems.
✨Show Off Your Python Skills
Since strong Python skills are a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practise common algorithms and data structures in Python to ensure you're sharp.
✨Be a Mentor, Not Just an Engineer
This role involves mentoring other engineers, so think about your leadership style and how you can support your team. Prepare examples of how you've helped others grow in their careers or contributed to a collaborative environment in previous roles.
✨Understand the Company’s Mission
Research the company and its mission-critical systems. Be ready to discuss how your experience aligns with their goals and how you can contribute to their success. Showing genuine interest in their work will set you apart from other candidates.
