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- Tasks: Build and maintain APIs for ML models and manage robust infrastructure.
- Company: Join a leading AI company tackling the biggest challenges in technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be part of an innovative team shaping the future of AI and machine learning.
- Qualifications: 5+ years experience with Terraform and cloud platforms; frontend skills are a bonus.
- Other info: Dynamic work environment with a focus on collaboration and cutting-edge technology.
The predicted salary is between 54000 - 84000 £ per year.
Why Join Us? Tackle the biggest challenge in AI - Be part of the mission to bend the
What you'll do:
- Build and maintain APIs (FastAPI or similar) to serve ML models
- Design and manage robust ML infrastructure using Kubernetes, Docker, and Terraform
- Deploy machine learning models into performance
- Collaborate with ML teams to streamline training, deployment, and monitoring
- Build internal tools and dashboards (e.g., in React or Vue) for analytics and observability
- Own CI/CD pipelines and drive infrastructure automation
What you'll bring:
- ~5+ years' experience (Terraform, Helm, etc.)
- ~ Familiarity with cloud platforms like AWS, GCP, or Azure
- ~ Bonus: Frontend experience (React, Vue.js) for building internal tools
Senior MLops (Full Stack) Engineer | London | Foundation Models in London - SoCode Recruitment employer: Java Script Works
Contact Detail:
Java Script Works Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLops (Full Stack) Engineer | London | Foundation Models in London - SoCode Recruitment
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 projects, especially those involving APIs, Kubernetes, or any ML models you've worked on. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to MLOps and be ready to discuss your experience with tools like Terraform and Docker.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your relevant experience and passion for AI.
We think you need these skills to ace Senior MLops (Full Stack) Engineer | London | Foundation Models in London - SoCode Recruitment
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with APIs, Kubernetes, and cloud platforms. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about AI and how you can contribute to our mission. Share specific examples of your work with ML infrastructure and CI/CD pipelines to grab our attention.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with tools like Terraform and Docker. If you’ve got frontend experience with React or Vue.js, make sure to highlight that too – it’s a bonus we’d love to see!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Java Script Works
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like FastAPI, Kubernetes, and Terraform. Brush up on your knowledge of cloud platforms such as AWS, GCP, or Azure, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built and maintained APIs or managed ML infrastructure. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaboration is Key
Since the role involves working with ML teams, think of examples where you’ve successfully collaborated with others. Highlight your communication skills and how you’ve contributed to streamlining processes or improving team dynamics.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and their current projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
