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- Tasks: Develop and maintain API services for a cutting-edge data platform.
- Company: Leading tech recruitment consultancy offering remote work opportunities.
- Benefits: Competitive salary of £50-£70k, flexible working, and career growth.
- Why this job: Join a dynamic team and make an impact in the ML Ops space.
- Qualifications: Experience with Azure and Databricks, plus strong problem-solving skills.
- Other info: Agile environment with opportunities for collaboration and innovation.
The predicted salary is between 50000 - 70000 £ per year.
A leading technology recruitment consultancy is seeking a skilled Machine Learning Engineer for a remote role with a salary of £50-£70k. The successful candidate will work on developing and maintaining API services for a data platform, managing caching layers and cloud integrations.
Responsibilities include:
- Collaboration in an agile environment
- Performance testing
- Supporting analytics and model deployment
Ideal candidates should have solid ML Ops experience with Azure and Databricks, alongside strong problem-solving and communication skills.
Remote ML Engineer – Azure & Databricks ML Ops in Bristol employer: Computerworld Personnel Ltd
Contact Detail:
Computerworld Personnel Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer – Azure & Databricks ML Ops in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML Ops projects, especially those involving API services and cloud integrations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on agile methodologies and performance testing. We recommend practising common interview questions related to ML Ops and having examples ready to demonstrate your problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Remote ML Engineer – Azure & Databricks ML Ops in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML Ops and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for candidates who can think on their feet and come up with innovative solutions, so let us know what you’ve done!
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 updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Computerworld Personnel Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Azure and Databricks. Brush up on your ML Ops knowledge and be ready to discuss how you've used these tools in past projects. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to overcome obstacles.
✨Emphasise Collaboration
Since the role involves working in an agile environment, be ready to talk about your experience collaborating with cross-functional teams. Share specific instances where your communication skills helped drive a project forward or resolve conflicts.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platform, their approach to performance testing, or how they handle model deployment. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
