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For Companies At a Glance
- Tasks: Build and optimise machine learning models while working with databases and infrastructure tools.
- Company: Join Treefera, a forward-thinking tech company in London.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Why this job: Dive into the exciting world of MLOps and make a real difference.
- Qualifications: Experience with databases, Terraform, Docker, and a passion for machine learning.
- Other info: Be part of a dynamic team that values innovation and collaboration.
The predicted salary is between 36000 - 60000 £ 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 Machine Learning Engineer in London - Treefera in City of London employer: Java Script Works
Contact Detail:
Java Script Works Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Machine Learning Engineer in London - Treefera in City of London
✨Tip Number 1
Get your hands dirty with the tech! If you’re applying for a Backend Machine Learning Engineer role, brush up on your PostgreSQL and DynamoDB skills. Dive into some Terraform or Docker projects to show you’re not just a paper tiger.
✨Tip Number 2
Network like a pro! Connect with folks in the industry through LinkedIn or local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 3
Show off your MLOps knowledge! Prepare to discuss how you’ve integrated models or developed data-driven products in past roles. Real-world examples will make you stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Treefera. It’s a great way to get noticed and show your enthusiasm for the role.
We think you need these skills to ace Backend Machine Learning Engineer in London - Treefera in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency with databases like PostgreSQL/PostGIS and DynamoDB in your application. We want to see how your experience aligns with what we're looking for!
Talk About Your Tools: If you've worked with infrastructure-as-code tools like Terraform or containerization technologies such as Docker, let us know! Mentioning these will show us you're ready to hit the ground running.
Get Technical with Typescript: Since familiarity with Typescript is key, don’t forget to mention any relevant experience you have. We love seeing candidates who can dive into existing codebases and make an impact.
Express Your Passion for MLOps: Share your interest in machine learning operations and how you’ve integrated models or developed data-driven products in the past. This will help us understand your enthusiasm for the role!
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 specific projects where you’ve used them. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Get Comfortable with Infrastructure Tools
Familiarise yourself with infrastructure-as-code tools like Terraform and containerisation technologies such as Docker. You might be asked about how you've used these in past projects, so having concrete examples ready will help you stand out.
✨Brush Up on Typescript
Since familiarity with Typescript is key, make sure you understand its nuances and can navigate existing codebases. Consider reviewing some common patterns or frameworks used in Typescript to demonstrate your capability during the interview.
✨Show Your MLOps Interest
Express your enthusiasm for machine learning operations (MLOps) and be prepared to discuss how you would integrate models into data-driven products. Sharing any relevant experiences or projects will highlight your passion and understanding of the field.