Backend ML Engineer | MLOps, TS & Docker Expert in London
Backend ML Engineer | MLOps, TS & Docker Expert

Backend ML Engineer | MLOps, TS & Docker Expert in London

London Full-Time 30000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and optimise machine learning models while working with cutting-edge technologies.
  • Company: Join a forward-thinking tech company focused on innovation and collaboration.
  • Benefits: Attractive salary, flexible working options, and opportunities for skill development.
  • Why this job: Be at the forefront of ML technology and contribute to impactful data-driven products.
  • Qualifications: Experience with databases, Docker, and a passion for MLOps.
  • Other info: Exciting work environment with great potential for career advancement.

The predicted salary is between 30000 - 50000 £ per year.

Qualifications

  • Proficiency in working with various databases such as PostgreSQL/PostGIS, DynamoDB, etc.
  • Exposure to infrastructure-as-code tools like Terraform or containerization technologies such as Docker.
  • Familiarity with Typescript to understand and work with existing codebases.
  • Interest in aspects of machine learning operations (MLOps), integrating models, and developing data-driven products.

Backend ML Engineer | MLOps, TS & Docker Expert in London employer: Java Script Works

Join a forward-thinking company that values innovation and collaboration, where as a Backend ML Engineer, you'll have the opportunity to work with cutting-edge technologies in a supportive environment. Our culture promotes continuous learning and professional growth, offering access to training and development resources tailored to your career aspirations. Located in a vibrant tech hub, we provide a dynamic workplace that encourages creativity and teamwork, making it an ideal setting for those looking to make a meaningful impact in the field of machine learning.
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Contact Detail:

Java Script Works Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Backend ML Engineer | MLOps, TS & Docker Expert in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those who work with MLOps or Docker. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a GitHub repo showcasing your projects with PostgreSQL, Terraform, or any cool ML models you've built. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for technical interviews by brushing up on your Typescript and database knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨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 Backend ML Engineer | MLOps, TS & Docker Expert in London

PostgreSQL
PostGIS
DynamoDB
Terraform
Docker
Typescript
MLOps
Data-Driven Product Development

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with databases like PostgreSQL and DynamoDB. We want to see how you've used these in past projects, so don’t hold back!

Talk About Your Tech Stack: If you’ve worked with Terraform or Docker, let us know! Share specific examples of how you’ve implemented these tools in your work. It’ll help us see how you fit into our team.

MLOps is Key: Since we’re looking for someone interested in MLOps, mention any relevant experience you have in integrating models or developing data-driven products. This will show us your passion for the field!

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 don’t miss out on any important details!

How to prepare for a job interview at Java Script Works

✨Know Your Databases

Make sure you brush up on your knowledge of PostgreSQL/PostGIS and DynamoDB. Be ready to discuss your experience with these databases, including any challenges you've faced and how you overcame them.

✨Show Off Your Docker Skills

Since containerization is key for this role, prepare to talk about your experience with Docker. Have examples ready where you've used Docker in projects, and be prepared to explain how it improved your workflow.

✨Get Comfortable with Infrastructure-as-Code

Familiarise yourself with Terraform and other infrastructure-as-code tools. You might be asked how you've implemented these tools in past projects, so think of specific scenarios where they made a difference.

✨MLOps Mindset

Demonstrate your interest in MLOps by discussing any relevant projects or experiences. Be ready to explain how you’ve integrated machine learning models into production and the impact it had on data-driven products.

Backend ML Engineer | MLOps, TS & Docker Expert in London
Java Script Works
Location: London

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