At a Glance
- Tasks: Build cutting-edge AI solutions and shape core product architecture.
- Company: Agile start-up with plans to double in size by 2026.
- Benefits: Remote/hybrid work options, competitive salary, and growth opportunities.
- Why this job: Join a world-class team and make a real impact in AI technology.
- Qualifications: 7+ years in ML Engineering and strong Python coding skills.
- Other info: High-ownership role in a fast-paced, innovative environment.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Remote/Hybrid will be considered with frequent travel to the office. Vertex Search is proud to partner with a cutting‑edge, agile start‑up that has plans to double in size in 2026! They are already revenue‑generating and have created unique, bespoke AI solutions that produce double the accuracy of traditional LLMs.
As a Senior Machine Learning Engineer, you’ll sit at the intersection of machine learning, product, and engineering, working closely with a world‑class research team to turn advanced ML capabilities into a coherent, high‑impact agent used on real‑world problems. More specifically, you’ll build the intelligence layer of their highly advanced agentic AI agent.
- The iterative interaction between the Agent and users
- The ML logic and decision workflows powering the Agent
- Reusable predictive pipelines that generalise across datasets
- Robust evaluation and model comparison frameworks
This is a high‑ownership role where you’ll shape core product architecture in a fast‑moving environment.
What You’ll Be Doing
- Implementing decision logic that guides and automates parts of the ML workflow
- Turning complex ML processes into reusable, scalable abstractions
- Integrating advanced research outputs into production workflows
- Writing clean, modular, production‑grade Python code
- Collaborating closely with research, product, and engineering
What We’re Looking For
- Around 7+ years in ML Engineering or applied ML roles
- Strong experience building end‑to‑end ML systems used in production
- Deep expertise in working with agentic agents (experience in synthetic data, tabular data, or similar fields is a plus!)
- Excellent ML fundamentals and ability to reason about trade‑offs
- Strong Python and production‑quality coding practices
Senior Machine Learning Engineer employer: Vertex Search
Contact Detail:
Vertex Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨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 machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your ML fundamentals and be ready to discuss your past projects in detail. Practice common interview questions and think about how you can demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Machine Learning Engineer role. Highlight your expertise in ML systems and any relevant projects you've worked on, especially those involving agentic agents.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about machine learning and how you can contribute to our team. Share specific examples of your work that demonstrate your ability to turn complex ML processes into scalable solutions.
Showcase Your Coding Skills: Since we value clean, modular, production-grade Python code, consider including links to your GitHub or any relevant projects. This gives us a chance to see your coding style and problem-solving approach in action.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Vertex Search
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals before the interview. Be prepared to discuss key concepts, trade-offs, and your past experiences with end-to-end ML systems. This will show that you have a solid foundation and can reason through complex problems.
✨Showcase Your Coding Skills
Since strong Python coding practices are essential for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Make sure you can explain your thought process clearly and concisely.
✨Prepare for Collaboration Questions
Given the collaborative nature of the role, expect questions about how you've worked with research, product, and engineering teams in the past. Have specific examples ready that highlight your ability to communicate effectively and contribute to team success.
✨Understand the Company’s Vision
Research the company and its unique AI solutions. Understanding their goals and how they plan to double in size by 2026 will help you align your answers with their vision. This shows genuine interest and helps you articulate how you can contribute to their growth.