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For Companies At a Glance
- Tasks: Own and build scalable ML systems that power our core product.
- Company: Join Boam AI, a dynamic team transforming data into actionable intelligence.
- Benefits: Top-tier compensation, equity options, and high autonomy from day one.
- Why this job: Make a real impact on mission-critical ML systems for leading enterprises.
- Qualifications: 5+ years in ML, strong Python skills, and experience with production systems.
- Other info: Collaborate closely with founders and enjoy a no-politics, high-trust environment.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Build the ML systems that power market leaders. Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always upâtoâdate intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and missionâcritical decisions across the enterprise.
As a Senior Machine Learning Engineer, you will own endâtoâend ML systems that power our core product. You will design and operate scalable ML data pipelines and agentic workflows, ship productionâready LLM and modelâdriven features, and help guide how new research and techniques make it into production. This is a role for someone who has shipped ML at scale, wants real ownership, and is excited to help set the bar for a small, senior team.
What Youâll Do
- Own production ML systems end to end: design, ship, operate, and improve
- Build scalable ML pipelines and agentic workflows you can run and trust at scale
- Develop and ship productionâready LLMâ and modelâdriven features
- Collaborate closely with backend, data, and product teams on MLâpowered features and APIs
- Guide the adoption of new ML research and techniques into production systems
- Implement and refine experiment tracking, model CI/CD, and automated retraining
- Raise reliability and observability: drift detection, data quality, and regressions
- Help shape our ML/AI architecture, tooling, and best practices
- Mentor ML engineers through design reviews, pairing, and feedback
You Might Be a Fit If...
- 5+ years of ML experience, including owning production ML systems end to end
- Strong Python skills and deep experience with ML or LLMâbased systems
- Comfortable designing and operating ML pipelines, feature stores, and evaluation at scale
- Familiarity with modern foundation models and agentic patterns
- Helped engineers level up through feedback and standards
- Evaluated new ML/AI approaches and got the best ones into production
- Bias to ship, measure, and refine rather than chase perfect offline metrics
- Motivated by solving real customer problems and seeing models used in the wild
- Thrive without heavy process, QA buffers, or endless safeguards â you own what you ship
Why Boam AI
- Join a noâpolitics, highâtrust, lowâego, and highâtalent team
- Work on missionâcritical ML systems used by topâtier enterprise customers
- Work directly with founders and the Head of Engineering on problems that matter
- High autonomy, real impact, and clear ownership from day one
- Operate at the intersection of AI, data infrastructure, and enterprise workflows
- Topâtier compensation with meaningful equity upside
- Help build the ML platform, patterns, and engineering culture you can be proud of
Our Hiring Process
- Intro Call
- Deep Dive
- Work Sample
- Founder / Leadership Conversation
A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions. Walk us through past ML work and systems youâve led, and how you think about complex, ambiguous modeling and production challenges. Solve a real Boamâstyle ML challenge that shows your modeling approach, system design thinking, and execution muscle. Candid discussion with our founder and Head of Engineering on ambition, values, ownership, and how youâd help us scale our ML and agentic systems and mentor the team.
Senior Machine Learning Engineer in London employer: Boam AI
Contact Detail:
Boam AI Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Machine Learning Engineer in London
â¨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.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that demonstrate your ability to build scalable systems. This will give potential employers a taste of what you can do before they even meet you.
â¨Tip Number 3
Prepare for interviews by practising common ML challenges and system design questions. We recommend simulating real interview scenarios with friends or using online platforms to sharpen your skills.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining our team at Boam AI.
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application đŤĄ
Show Off Your Experience: When you're writing your application, make sure to highlight your 5+ years of ML experience. We want to see how you've owned production ML systems from start to finish, so donât hold back on the details!
Be Specific About Your Skills: We love Python and ML skills! In your application, mention specific projects where you designed and operated ML pipelines or worked with LLM-based systems. This helps us understand your hands-on experience.
Demonstrate Your Problem-Solving Mindset: We're all about solving real customer problems. Share examples in your application where you've tackled complex challenges and how your solutions made a difference. It shows us you're motivated and ready to make an impact!
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to keep track of your application and ensure it gets the attention it deserves. We canât wait to hear from you!
How to prepare for a job interview at Boam AI
â¨Know Your ML Systems Inside Out
Before the interview, make sure you can confidently discuss the ML systems you've built and operated. Be ready to explain your design choices, the challenges you faced, and how you overcame them. This will show that you not only have the experience but also the ownership mentality theyâre looking for.
â¨Showcase Your Python Proficiency
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 relevant to ML. Practising common algorithms and data manipulation techniques can give you an edge.
â¨Prepare for Real-World Scenarios
Expect to tackle real Boam-style ML challenges during the interview. Think about how you would approach complex modelling problems and be ready to discuss your thought process. They want to see your system design thinking and execution muscle in action, so practice articulating your approach clearly.
â¨Emphasise Collaboration and Mentorship
This role involves working closely with various teams and mentoring other engineers. Be prepared to share examples of how you've collaborated in the past and how you've helped others level up their skills. Highlighting your ability to work in a team and guide others will resonate well with their culture.
