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- Tasks: Build and optimise ML infrastructure for a greener travel future.
- Company: Leading UK rail tech firm focused on innovation and sustainability.
- Benefits: Hybrid work model, excellent perks, and a supportive team environment.
- Why this job: Join us to revolutionise travel with cutting-edge AI and ML technologies.
- Qualifications: 2+ years in MLOps, strong AWS, Terraform, Docker, and CI/CD skills.
The predicted salary is between 42000 - 84000 £ per year.
A leading rail technology firm in the UK is looking for an experienced MLOps Engineer to develop infrastructure for ML and AI systems. In this role, you will enhance the ML lifecycle, improve developer experience, and ensure robust observability across services.
Candidates should have a minimum of 2 years’ experience in MLOps, strong AWS skills, and proficiency with Terraform, Docker, and CI/CD systems. This position supports a hybrid work model with excellent benefits.
MLOps Engineer — Scale AI for Greener Travel employer: Trainline
Contact Detail:
Trainline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer — Scale AI for Greener Travel
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects, especially those involving AWS, Terraform, and Docker. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios. Think about how you would enhance the ML lifecycle or improve observability. We want you to be ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace MLOps Engineer — Scale AI for Greener Travel
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps and showcases your skills with AWS, Terraform, Docker, and CI/CD systems. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about developing infrastructure for ML and AI systems. We love seeing candidates who can connect their personal goals with our mission for greener travel.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've improved the ML lifecycle or enhanced developer experience. We’re keen on candidates who can demonstrate their ability to tackle challenges head-on and drive results.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Trainline
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Terraform, Docker, and CI/CD systems. Brush up on your practical experience with these tools, as you might be asked to discuss specific projects where you’ve implemented them.
✨Showcase Your MLOps Experience
Prepare to talk about your previous roles in MLOps. Highlight how you've enhanced the ML lifecycle and improved developer experiences. Use concrete examples to demonstrate your impact in past positions.
✨Understand the Company’s Mission
Research the rail technology firm and its commitment to greener travel. Be ready to discuss how your skills can contribute to their goals, especially in developing infrastructure for ML and AI systems.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face in MLOps, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.