At a Glance
- Tasks: Support major projects by debugging and making analytical decisions in Python and Machine Learning.
- Company: Harvey Nash Group, a leader in tech recruitment with a focus on innovation.
- Benefits: Competitive day rate of £460 and hybrid work flexibility.
- Other info: Exciting opportunity for career growth in a collaborative environment.
- Why this job: Join a dynamic team and work on impactful projects in the tech industry.
- Qualifications: Strong Python and Machine Learning experience; backup platform knowledge is a plus.
The predicted salary is between 100000 - 100000 € per year.
Harvey Nash Group is seeking a Python ML Engineer for a 12-month hybrid role in Glasgow. The successful candidate will support major projects within the Backup Engineering team, requiring strong Python and Machine Learning experience.
Responsibilities include:
- Debugging complex issues
- Making analytical decisions
- Collaborating with customers
Additional desirable skills include:
- Experience with backup platforms like Veritas NetBackup
- Familiarity with Kubernetes
The role offers a competitive day rate of £460 inside IR35.
Hybrid Python ML Engineer: APIs & Kafka Focus in Glasgow employer: Harvey Nash Group
Harvey Nash Group is an excellent employer, offering a dynamic work environment in Glasgow that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like Python and Machine Learning. Our supportive culture encourages teamwork and creativity, making it a rewarding place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Python ML Engineer: APIs & Kafka Focus in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Python and Machine Learning. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving APIs and Kafka. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and debugging techniques. Practice explaining your thought process clearly, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles.
We think you need these skills to ace Hybrid Python ML Engineer: APIs & Kafka Focus in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python and Machine Learning experience. 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 excited about this hybrid role and how your background fits with our needs. Let us know what makes you the perfect fit for the Backup Engineering team.
Showcase Your Problem-Solving Skills:Since debugging complex issues is part of the gig, share examples in your application where you've tackled tough problems. We love seeing how you approach challenges and make analytical decisions!
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 from us!
How to prepare for a job interview at Harvey Nash Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially in relation to machine learning projects. Prepare to showcase specific examples where you've debugged complex issues or made analytical decisions using Python.
✨Familiarise Yourself with Machine Learning Concepts
Since this role focuses on machine learning, it's crucial to understand key concepts and algorithms. Be prepared to explain how you've applied machine learning techniques in past projects. Think of real-world applications and be ready to discuss the outcomes of your work.
✨Get Comfortable with APIs and Kafka
As the job involves working with APIs and Kafka, make sure you can talk about your experience with these technologies. Brush up on how you've integrated APIs in your projects and any challenges you've faced with Kafka. Being able to discuss these topics confidently will set you apart.
✨Research Backup Platforms and Kubernetes
Even if you don't have direct experience with Veritas NetBackup or Kubernetes, doing some research can help. Understand their functionalities and how they relate to backup engineering. This knowledge will show your enthusiasm for the role and your willingness to learn.
