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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 Ipswich 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 Ipswich
✨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 ML models or improving system performance. Real-world examples will make you shine!
✨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 Ipswich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML Ops and the specific technologies mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
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. We love seeing enthusiasm and a personal touch, so let your personality come through.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in ML systems or cloud infrastructure. We’re keen on candidates who can demonstrate their problem-solving prowess, especially in high-pressure environments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Talent Connect Group (TCG)
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Azure, and Kubernetes. Brush up on your experience with ML pipelines and deployment systems, as you’ll likely be asked to discuss how you’ve used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in ML Ops and how you resolved them. Highlight your debugging skills and any experience with monitoring tools like Prometheus or Grafana, as this will demonstrate your ability to maintain production ML systems effectively.
✨Understand the Company’s Mission
Research the healthcare provider’s goals and how they leverage AI-driven solutions. Being able to articulate how your role as an ML Ops Engineer can contribute to transforming health outcomes will show your genuine interest in the position and the company.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with Data Scientists and DevOps teams, think of examples where you successfully collaborated on projects. Be ready to discuss how you communicate technical concepts to non-technical team members, as teamwork is key in this environment.