Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 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
✨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 you’re after!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving production-scale AI pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML concepts. Practice coding challenges and be ready to discuss your problem-solving approach. We all know how crucial it is to demonstrate your expertise!
✨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 passionate candidates who are eager to make an impact in the AI world.
We think you need these skills to ace Senior ML Engineer: Own Production-Scale AI Pipelines
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 you've made in previous roles.
Python is Key: Since strong Python skills are a must, don’t forget to showcase your coding prowess. Include specific projects or examples where you’ve used Python to build scalable ML pipelines.
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 your experience with scalable pipelines and how you've tackled real-world problems using ML.
✨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 at Heart
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 guided others in the past, whether through code reviews, pair programming, or knowledge sharing sessions.
✨Understand the Company’s Mission
Research the company and its mission-critical systems. Understand their products and the impact they have on high-tier enterprise customers. This will not only help you answer questions but also show your genuine interest in contributing to their goals.
