Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain ML pipelines while owning model lifecycles.
- Company: Dynamic tech firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Why this job: Join a high-trust team and drive AI integration in production systems.
- Qualifications: 3+ years of ML engineering experience and strong Python skills.
- Other info: Collaborative culture that values autonomy and creativity.
The predicted salary is between 42000 - 60000 £ per year.
A dynamic technology firm in Greater London is seeking an Applied AI Engineer focused on building and maintaining ML and agentic data pipelines. You will own model lifecycles, collaborate closely with engineers, and drive the integration of AI features into production systems.
The ideal candidate has over 3 years of ML engineering experience and strong Python skills. Join a high-trust, low-ego team that values autonomy and innovation in delivering cutting-edge AI solutions.
Production AI Engineer: Own End-to-End ML Pipelines employer: Boam AI
Contact Detail:
Boam AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer: Own End-to-End ML Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 ML projects and pipelines. This is your chance to demonstrate your Python prowess and how you've tackled real-world problems. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with model lifecycles and AI integration. Practice common interview questions and think about how you can highlight your collaborative spirit.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our innovative team.
We think you need these skills to ace Production AI Engineer: Own End-to-End ML Pipelines
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your ML engineering experience in your application. We want to see how your skills and past projects align with the role, so don’t hold back on showcasing your Python prowess!
Tailor Your Application: Take a moment to customise your application for us. Mention specific projects or experiences that relate to building and maintaining ML pipelines. This shows us you’re genuinely interested in the position and understand what we do.
Be Authentic: We value authenticity, so let your personality shine through in your written application. Share your passion for AI and innovation, and don’t be afraid to express why you want to join our dynamic team!
Apply Through Our Website: To make sure your application gets to us directly, apply through our website. It’s the best way for us to review your details and get you into the process smoothly. We can’t wait to hear from you!
How to prepare for a job interview at Boam AI
✨Know Your ML Pipelines
Make sure you can discuss your experience with end-to-end machine learning pipelines in detail. Be ready to explain how you've built, maintained, and optimised these systems in previous roles. This will show that you understand the entire lifecycle of a model.
✨Showcase Your Python Skills
Since strong Python skills are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so brush up on your Python syntax and libraries commonly used in ML, like NumPy and Pandas.
✨Collaboration is Key
This position involves working closely with engineers, so be prepared to discuss your teamwork experiences. Share examples of how you've collaborated on projects, resolved conflicts, or contributed to a team’s success. Highlighting your ability to work in a high-trust, low-ego environment will resonate well.
✨Emphasise Innovation
The company values innovation, so come armed with ideas! Think about how you can integrate AI features into production systems and be ready to share your thoughts on cutting-edge solutions. Showing your passion for pushing boundaries will set you apart.
