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- Tasks: Build and maintain infrastructure for machine learning models remotely.
- Company: Leading recruitment consultancy with a focus on innovation.
- Benefits: Competitive salary, excellent work-life balance, and remote flexibility.
- Why this job: Join a dynamic team and work on cutting-edge ML technologies.
- Qualifications: Experience with Azure, Databricks, and strong problem-solving skills.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 50000 - 70000 £ per year.
A leading recruitment consultancy is seeking a skilled Machine Learning Engineer for a remote role with a focus on building and maintaining infrastructure for machine learning models. You will be responsible for developing API services, managing caching layers, and integrating cloud data storage solutions.
Ideal candidates should have significant experience with Azure, Databricks, and solid problem-solving skills. The position also includes a competitive salary range of £50k-£70k, along with excellent benefits that enhance work-life balance.
Remote ML Engineer: Azure & Databricks ML Ops Pro in Bristol employer: Hunter Selection Limited
Contact Detail:
Hunter Selection Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer: Azure & Databricks ML Ops Pro in Bristol
✨Tip Number 1
Network like a pro! Reach out to fellow ML Engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure and Databricks. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML Ops questions. Practice explaining your thought process when solving problems, as this is key for roles like the one we’re offering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Remote ML Engineer: Azure & Databricks ML Ops Pro 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 machine learning and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Problem-Solving Skills: In your application, include 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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Hunter Selection Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Azure and Databricks. Brush up on the specific tools and services you’ve used, and be ready to discuss how you’ve implemented them in past projects. This will show your technical prowess and help you stand out.
✨Showcase Problem-Solving Skills
Prepare examples of challenges you've faced in machine learning projects and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and problem-solving abilities.
✨Understand API Services
Since you'll be developing API services, be ready to explain your experience with them. Discuss any relevant projects where you built or maintained APIs, and highlight your understanding of caching layers and cloud data storage solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to ML Ops and their tech stack. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it can spark a great conversation!
