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- Tasks: Automate ML deployment workflows and manage model versioning.
- Company: Join a forward-thinking team in the AI and ML space.
- Benefits: Competitive pay, flexible hours, and opportunities for growth.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: Experience in ML deployment automation and production integration.
- Other info: Dynamic work environment with a focus on collaboration and creativity.
The predicted salary is between 28800 - 48000 £ per year.
We’re looking for engineers to:
- Automate ML deployment workflows
- Manage model versioning & releases
- Monitor inference cost, latency & drift
- Implement observability & rollback systems
Skills: ML deployment automation, version control, production integration, monitoring, rollback, CI/CD, containerized deployments
Ai / ML Engineers employer: Coltech Recruitment
Contact Detail:
Coltech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ai / ML Engineers
✨Tip Number 1
Network like a pro! Reach out to fellow ML and AI engineers on LinkedIn or at meetups. We can learn so much from each other, and who knows, you might just find your next job through a connection!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to ML deployment automation and monitoring. We all love a good visual, and it’ll give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of CI/CD and containerized deployments. We want to be ready to impress with our understanding of the latest tools and techniques in the field.
✨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. We’re here to help you land that dream job in AI and ML engineering!
We think you need these skills to ace Ai / ML Engineers
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML deployment automation and version control. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and ML, and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool projects related to monitoring, rollback systems, or CI/CD, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions that highlight your contributions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Coltech Recruitment
✨Know Your ML Deployment Workflows
Make sure you understand the ins and outs of ML deployment workflows. Be ready to discuss your experience with automating these processes and any tools you've used. This will show that you’re not just familiar with the theory but have practical skills to back it up.
✨Showcase Your Version Control Skills
Be prepared to talk about how you manage model versioning and releases. Bring examples of how you've implemented version control in past projects, and be ready to discuss the challenges you faced and how you overcame them.
✨Discuss Monitoring and Observability
Since monitoring inference cost, latency, and drift is crucial, think of specific instances where you’ve implemented observability in your projects. Highlight any rollback systems you’ve set up and how they improved your workflow.
✨Familiarise Yourself with CI/CD and Containerization
Brush up on your knowledge of CI/CD pipelines and containerized deployments. Be ready to explain how you’ve integrated these practices into your work, as this will demonstrate your ability to streamline processes and enhance productivity.