At a Glance
- Tasks: Enable machine learning at scale and improve MLOps tooling for data science teams.
- Company: Join Virgin Media O₂, a leader in tech innovation and collaboration.
- Benefits: Enjoy Bupa healthcare, generous holiday, and exclusive discounts on broadband and mobile.
- Other info: Dynamic work environment with a focus on personal growth and well-being.
- Why this job: Make a real impact by shaping the future of our ML platform with cutting-edge technology.
- Qualifications: Strong Python skills and experience with cloud platforms like GCP, AWS, or Azure.
The predicted salary is between 60000 - 80000 € per year.
As a Senior MLOps Engineer, you’ll play a pivotal role in enabling machine learning at scale across Virgin Media O₂. You’ll work on a well‑established, in‑house MLOps platform that supports multiple data science teams, helping turn experimentation into reliable, production‑ready solutions. This role sits at the intersection of machine learning, software engineering and cloud platforms, with a strong focus on building robust foundations that allow teams to move faster with confidence. You’ll evolve shared MLOps tooling, improve how models are deployed, monitored and operated, and explore innovative uses of agentic AI within Google Cloud’s ecosystem. Alongside hands‑on technical delivery, you’ll collaborate closely with data scientists and engineers, shaping best practice, improving developer experience and influencing the future direction of our ML platform.
Location United Kingdom
Must haves
- Strong Python development experience applied to machine learning in production environments
- Experience operating and supporting ML systems at scale
- Hands‑on experience with cloud platforms such as GCP, AWS or Azure
- Familiarity with ML pipelines, CI/CD and software engineering best practices
- Ability to work confidently within and improve existing codebases
Other requirements
- Experience with Google Cloud services such as Vertex AI, BigQuery or Cloud Run
- Exposure to agentic AI, LLMs or tools like Gemini and Vertex AI Agent Builder
- Experience with Infrastructure as Code and ML monitoring tools
- Background in building internal platforms, tooling or developer experience improvements
- Experience building production APIs using frameworks such as FastAPI
Benefits
We know life isn’t just about work, so our benefits are built to support you in the moments that matter. You’ll get Bupa healthcare, wellbeing support, life cover, a pension and generous holiday –plus your birthday off. And there’s more. Enjoy some extra perks on us, with optional electric vehicle lease and Cycle2Work schemes, dental insurance, neurodiversity assessments, and brilliant discounts on broadband, TV and mobile. You’ll even get access to the Virgin Family platform and the O₂ Priority app, with exclusive rewards, experiences and chances to attend events at The O₂ and beyond.
Equal Opportunity Employer Virgin Media O₂ is an equal opportunities employer and we work hard to remove bias and barriers. We want every person who joins us – and everyone thinking about joining us – to feel seen, heard and supported.
Senior MLOps Engineer in London employer: Virgin Media O2
At Virgin Media O₂, we pride ourselves on being an exceptional employer that champions innovation and collaboration. As a Senior MLOps Engineer, you'll thrive in a dynamic work culture that prioritises employee wellbeing with comprehensive benefits, including healthcare, generous holiday allowances, and unique perks like electric vehicle leasing. Our commitment to professional growth ensures you have the opportunity to shape the future of machine learning while enjoying a supportive environment that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLOps Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Virgin Media O₂. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to MLOps, make sure to highlight them. Real-world examples of your work can speak volumes.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and cloud platform knowledge. Be ready to discuss how you've tackled challenges in ML systems before.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Virgin Media O₂.
We think you need these skills to ace Senior MLOps Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior MLOps Engineer. Highlight your Python development experience and any hands-on work with cloud platforms like GCP, AWS, or Azure. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of ML systems you've operated or supported at scale. If you've built production APIs or worked with ML pipelines, let us know! This is your chance to shine and show us what you can bring to the table.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point – it shows us you can communicate effectively!
Apply Through Our Website:We encourage you to apply through our website for the best experience. It’s super easy and ensures your application goes directly to us. Plus, you’ll get to see all the other cool opportunities we have at StudySmarter!
How to prepare for a job interview at Virgin Media O2
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, GCP, and ML pipelines. Brush up on your experience with cloud platforms and be ready to discuss how you've applied these skills in production environments.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in MLOps and how you overcame them. Highlight your ability to improve existing codebases and enhance developer experience, as this will resonate well with the team.
✨Understand the Company’s Vision
Research Virgin Media O₂ and their approach to machine learning and cloud services. Be ready to discuss how your experience aligns with their goals, particularly in evolving MLOps tooling and exploring innovative AI solutions.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current MLOps challenges or future projects involving agentic AI. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
