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 inclusivity.
- 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, cloud experience, and familiarity with ML pipelines required.
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 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
✨Tip Number 1
Network like a pro! Reach out to current employees at Virgin Media O₂ on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior MLOps Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python projects, especially those related to machine learning and cloud platforms. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for MLOps roles. Focus on your experience with ML pipelines, CI/CD, and cloud services like GCP, AWS, or Azure.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. 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
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 makes our job easier!
Apply Through Our Website:We encourage you to apply through our website for the best experience. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy to do – just a few clicks and you’re on your way!
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 and cloud platforms like GCP, AWS, or Azure. Brush up on your experience with ML pipelines and CI/CD practices, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles related to MLOps. Think about how you’ve improved existing codebases or deployed models at scale. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Collaborate and Communicate
Since this role involves working closely with data scientists and engineers, be ready to demonstrate your collaboration skills. Share examples of how you’ve influenced best practices or improved developer experiences in past projects. Communication is key!
✨Stay Curious About Innovations
Familiarise yourself with the latest trends in agentic AI and tools like Vertex AI. Showing that you’re proactive about learning and exploring new technologies can set you apart from other candidates. Be prepared to discuss how you might apply these innovations in the role.
