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- Tasks: Deploy and scale ML models, build reliable pipelines, and collaborate with top tech teams.
- Company: Leading global healthcare provider transforming health outcomes with AI-driven solutions.
- Benefits: Competitive daily rate, contract flexibility, and the chance to work on impactful projects.
- Other info: Dynamic, collaborative environment with opportunities for professional growth.
- Why this job: Join a cutting-edge team at the forefront of AI and healthcare innovation.
- Qualifications: 5+ years in ML Ops, strong Azure experience, and problem-solving skills.
Contract Length: 4/6 Months
Start Date: ASAP
Rate: 500/550 GBP per day (Inside ir35)
Must be UK based
We’re currently supporting a leading global healthcare provider that is transforming health outcomes through insurance, clinical services, and AI-driven care solutions. They’re looking for a Senior ML Ops Engineer to help build and scale production-grade machine learning infrastructure within a modern cloud-native environment. This is a high-impact opportunity to work at the intersection of AI, platform engineering, and cloud infrastructure for one of the most innovative organisations in the healthcare space.
What you’ll be doing:
- Deploying and scaling ML models in production
- Building reliable ML pipelines and deployment systems
- Working across Azure cloud, ML Studio, and Kubernetes environments
- Implementing model versioning, monitoring, observability, and governance
- Improving inference performance, resilience, and platform uptime
- Collaborating closely with Data Scientists, DevOps, and Engineering teams
Tech Stack:
- Python
- Azure
- Azure ML Studio
- ML Pipelines
- Docker
- Kubernetes
- GitHub Actions
- SQL
What they’re looking for:
- 5+ years of ML Ops experience
- Strong experience supporting production ML systems at scale
- Deep understanding of Azure cloud infrastructure
- Experience with monitoring/observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
- Strong problem-solving and debugging skills
This is a fantastic opportunity for someone passionate about building scalable AI infrastructure and operationalising machine learning in a fast-moving, collaborative environment.
ML Ops Engineer in Basingstoke employer: Talent Connect Group (TCG)
Contact Detail:
Talent Connect Group (TCG) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Ops Engineer in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to your connections in the ML Ops space and let them know you're on the hunt for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous ML Ops projects, especially those involving Azure and Kubernetes. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common ML Ops scenarios. Be ready to discuss how you've deployed and scaled ML models in production, and don’t forget to highlight your problem-solving skills!
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles, including this one, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace ML Ops Engineer in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the ML Ops Engineer role. Highlight your experience with Azure, Kubernetes, and any relevant projects that showcase your skills in deploying ML models and building pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about ML Ops and how your background aligns with the healthcare sector. Don’t forget to mention specific tools and technologies you’ve worked with.
Showcase Your Problem-Solving Skills: In your application, include examples of challenges you've faced in previous roles and how you overcame them. This will demonstrate your strong problem-solving abilities, which are crucial for this position.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Talent Connect Group (TCG)
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on your Python, Azure, and Kubernetes skills, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in ML Ops before. Think about specific instances where you improved model performance or resolved issues in production systems, as this will demonstrate your hands-on experience.
✨Understand the Company’s Mission
Research the healthcare provider's goals and how they leverage AI to transform health outcomes. Being able to articulate how your role as an ML Ops Engineer fits into their mission can set you apart from other candidates.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with Data Scientists and DevOps teams, be ready to discuss your experience in collaborative environments. Share examples of successful teamwork and how you’ve contributed to cross-functional projects.