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Senior MLOps Engineer
Senior MLOps Engineer
Location: Reading
Posted Date: 02-Jul-2026
Ref #: 73246
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 supporting multiple data science teams, translating experiments into reliable, production-ready solutions. Bridging machine learning, software engineering, and cloud platforms, your focus will be on building robust foundations that accelerate teams with confidence.
Key responsibilities include elevating shared MLOps tooling, optimising model delivery, monitoring operations, and exploring agentic AI’s innovative applications within Google Cloud’s ecosystem. You’ll blend hands-on technical work with collaborative efforts in ML platform best practices, developer experience improvements, and strategic direction shaping.
About Virgin Media O₂
At Virgin Media O₂, we connect people to life’s defining moments. As the UK’s leader in broadband reliability and speed, combined with O₂’s industry-winning mobile coverage, we play a crucial role in staying connected for customers.
Recognised as a Financial Times Top 500 Best Employer for 2026, we drive inclusivity, innovation, and investment in the future of connectivity. This includes next-gen 5G rollout, satellite solutions for rural coverage, and partnerships that enhance lives.
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Our flexible-first culture empowers everyone—trusting collaboration fosters growth. We advocate for diversity, equity, and inclusion, championing employee networks to build a supportive community.
Our values & ways of working
- Flexible-first approach: Expect at least eight in-person connection days monthly, whether it’s team meetings, cross-project collaboration, or shared experiences.
- Rotation of ideas: Great ideas come from team cohesion—dare to innovate, grow, and thrive.
- Accessibility & inclusion: We embed equity into operations, believe in allyship, and celebrate intersectionality across our award-winning network groups.
- Family-friendly perks: Unlimited parenthood support, naming rights after children, or time off for special occasions—we have you covered.
The role: must-haves
- Strong Python development experience in machine learning production environments
- Experience in ML system operations & support at scale
- Hands-on cloud expertise: GCP, AWS, or Azure
- Proficiency with ML pipelines, CI/CD, and software engineering best practices
- Confidence in improving and working within existing codebases
Bonus added value
- Google Cloud expertise: Vertex AI, BigQuery, Cloud Run
- Experience with agentic AI, LLMs, or AI tools like Gemini, Vertex AI Agent Builder
- Knowledge of Infrastructure as Code (IaC) and ML monitoring tools
- Platform/tooling focus: Building developer experience improvements
- Production API know-how: FastAPI or similar frameworks
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What’s in it for you?
- Life balance: Birthdays off are the law; 30+ paid days off plus Bupa healthcare, financial wellness support (pension, life cover).
- Social rewards: Sundry perks—EV leasing, bike schemes, dental cover, expert neurodivergent assessments—and exclusive Virgin Media/O₂ Family benefits (broadband, mobile, exclusive perks).
- Experience design: Access to cult spaces—The O₂, tickets to exclusive events.
- Support process: Transparent from the start. Accommodation requests? We bend the rules—if it makes you succeed, we’ll facilitate it.
Next steps
Fancy the challenge? Time to commit:
- Apply—clear early; no delays.
- Talent conversation with a recruiter.
- Video/BOFU sessions with managers.
- Challenges/assessments.
Hurdle iterations include adjustments tailored to your needs. Background checks (criminal/financial where relevant) follow accepted applications.
Don’t limit your future—apply today. We’re waiting to see what you’ll build with us.
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