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- Tasks: Deploy AI/ML models and manage Kubernetes environments in a hybrid role.
- Company: Leading financial services firm based in Edinburgh with a focus on innovation.
- Benefits: 12-month contract with potential for extension and career growth opportunities.
- Why this job: Join a dynamic team and work on cutting-edge AI/ML projects that make a difference.
- Qualifications: Experience in Python, Kubernetes, Docker, and strong analytical skills.
- Other info: Perfect for graduates looking to kickstart their career in tech.
The predicted salary is between 28800 - 48000 £ per year.
A financial services firm in Edinburgh is seeking a motivated Graduate Machine Learning and AI Engineer for a hybrid role. This position involves deploying AI/ML models, managing Kubernetes environments, and building CI/CD pipelines.
The ideal candidate will have experience in Python, Kubernetes, and Docker, and a strong analytical mindset. The role is offered on a 12-month fixed contract with opportunities for extension, and seeks someone with a permanent mindset to thrive within a leading organization.
Graduate ML & AI Engineer - Hybrid, Edinburgh employer: Pontoon
Contact Detail:
Pontoon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate ML & AI Engineer - Hybrid, Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy to ask for informational interviews. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, Kubernetes, and Docker. This is your chance to demonstrate your analytical mindset and practical experience. Make sure to include links to your GitHub or any live demos.
✨Tip Number 3
Prepare for those interviews! Research common questions for ML and AI roles, especially around deploying models and managing environments. Practice your answers and think of examples from your experience that highlight your problem-solving skills.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your passion for AI and ML, and don’t forget to mention your interest in a long-term career with us. Let’s get you that job!
We think you need these skills to ace Graduate ML & AI Engineer - Hybrid, Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Kubernetes, and Docker. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and ML, and explain why you’re excited about this opportunity with us. Keep it concise but impactful!
Show Off Your Analytical Mindset: In your application, give examples of how you've tackled complex problems or projects. We love candidates who can think critically and approach challenges with a solution-oriented mindset.
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 Pontoon
✨Know Your Tech
Make sure you brush up on your Python, Kubernetes, and Docker skills. Be ready to discuss how you've used these technologies in past projects or coursework. It’s a great way to show your practical experience and enthusiasm for the role.
✨Show Your Analytical Side
Prepare to demonstrate your analytical mindset. Think of examples where you've solved complex problems using data or algorithms. This will help you stand out as someone who can tackle the challenges of deploying AI/ML models.
✨Understand CI/CD Pipelines
Familiarise yourself with Continuous Integration and Continuous Deployment (CI/CD) processes. Be prepared to explain how you would implement these in a real-world scenario, as this is crucial for the role.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or the company’s approach to AI/ML. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
