At a Glance
- Tasks: Build scalable ML infrastructure and pipelines to tackle real-world challenges.
- Company: Venture-backed deep-tech startup with a focus on machine learning.
- Benefits: Competitive salary, autonomy, and the chance to shape technology from day one.
- Other info: Be part of a dynamic team with ownership and growth opportunities.
- Why this job: Join as a founding engineer and make a real impact in a critical global industry.
- Qualifications: Strong Python skills and experience in MLOps or ML platform engineering.
The predicted salary is between 60000 - 80000 £ per year.
We're working with a venture‑backed deep‑tech startup using machine learning to tackle complex, real‑world challenges in a critical global industry. As they scale, they're looking for a Founding MLOps Engineer to build the infrastructure that takes cutting‑edge research into production. This is a high‑impact role where you'll work alongside world‑class ML researchers and software engineers to design and own the company's ML platform from day one.
What you'll be doing:
- Building scalable ML training and inference pipelines
- Designing cloud infrastructure and deployment workflows
- Creating robust data pipelines and tooling for ML teams
- Improving reproducibility, model governance, and observability
- Shaping the long‑term architecture of the company's ML platform
What you'll need:
- Strong Python engineering experience
- Commercial experience in MLOps, ML Platform Engineering, or Data Engineering supporting production ML systems
- Experience with cloud platforms (AWS, GCP or Azure)
- A track record of building scalable infrastructure and automation
- Someone who thrives in early‑stage environments with lots of ownership and autonomy
Nice to have:
- Experience with geospatial data or scientific computing
- CI/CD, Infrastructure as Code, Kubernetes or Terraform
- Model governance, monitoring, or ML lifecycle tooling
This is an opportunity to join as one of the first engineering hires, influence technical direction, and play a key role in building technology with real‑world impact.
Founding MLOps Engineer employer: Understanding Recruitment
Join a pioneering deep-tech startup in King's Cross, where you'll be at the forefront of machine learning innovation. As a Founding MLOps Engineer, you'll enjoy a collaborative work culture that values autonomy and ownership, alongside opportunities for professional growth in a dynamic environment. With a focus on impactful technology and a commitment to employee development, this role offers a unique chance to shape the future of ML infrastructure while working with leading experts in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Founding MLOps Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Understanding Recruitment or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Understanding Recruitment.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Understanding Recruitment.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Understanding Recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Founding MLOps Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Understanding Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Understanding Recruitment and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Understanding Recruitment
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Understanding Recruitment uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
