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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.
The predicted salary is between 130000 - 143000 £ per year.
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 Northampton 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 Northampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the ML Ops space, especially those who work in healthcare. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Azure and Kubernetes. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML Ops scenarios. Be ready to discuss how you've tackled challenges in deploying and scaling ML models. We want to hear your problem-solving stories!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace ML Ops Engineer in Northampton
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 you've worked on. We want to see how your skills match what we're looking for!
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 you can contribute to our mission in healthcare. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! Whether it's deploying models or building pipelines, we want to see your hands-on experience. Include links to your GitHub or portfolio if you have them.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates. Plus, it’s super easy – just a few clicks!
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. Be ready to discuss how you've used these technologies in past projects, especially in deploying ML models.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in ML Ops and how you overcame them. This role requires strong problem-solving abilities, so think of scenarios where your debugging skills made a difference.
✨Understand the Healthcare Context
Since this position is with a healthcare provider, it’s beneficial to understand the unique challenges and opportunities in this sector. Familiarise yourself with how AI can transform health outcomes and be ready to discuss your thoughts on it.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s ML infrastructure, team dynamics, and future projects. This shows your genuine interest and helps you assess if the role is the right fit for you.