Graduate ML & AI Engineer - Hybrid, Edinburgh
Graduate ML & AI Engineer - Hybrid, Edinburgh

Graduate ML & AI Engineer - Hybrid, Edinburgh

Trainee 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • 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

Join a leading financial services firm in Edinburgh that values innovation and growth, offering a dynamic work culture where your contributions are recognised and rewarded. With a strong focus on employee development, you will have access to training and mentorship opportunities that empower you to advance your career in the exciting field of AI and machine learning. Enjoy the flexibility of a hybrid working model while being part of a collaborative team dedicated to pushing the boundaries of technology.
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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. Share it on GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with deploying AI/ML models. Practice common interview questions and consider doing mock interviews with friends or mentors to build your confidence.

✨Tip Number 4

Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your analytical mindset and any relevant experience. Remember, we’re looking for someone with a permanent mindset to thrive in our team!

We think you need these skills to ace Graduate ML & AI Engineer - Hybrid, Edinburgh

Machine Learning
Artificial Intelligence
Python
Kubernetes
Docker
CI/CD Pipelines
Analytical Mindset
Problem-Solving Skills

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 Skills: Since we’re looking for someone with a strong analytical mindset, include examples in your application that demonstrate your problem-solving abilities. Whether it’s a project or a challenge you overcame, let us know!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!

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. Having specific examples will show your practical knowledge and enthusiasm for the role.

✨Understand AI/ML Concepts

Familiarise yourself with key machine learning concepts and algorithms. Be prepared to explain how they work and their applications in real-world scenarios, especially in financial services. This will demonstrate your analytical mindset and readiness to tackle challenges.

✨Showcase Your Problem-Solving Skills

Think of a few examples where you've solved complex problems using AI/ML techniques. Whether it's a project from university or a personal endeavour, being able to articulate your thought process will impress interviewers and highlight your critical thinking abilities.

✨Ask Insightful Questions

Prepare some thoughtful questions about the company's use of AI/ML and their future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.

Graduate ML & AI Engineer - Hybrid, Edinburgh
Pontoon
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  • Graduate ML & AI Engineer - Hybrid, Edinburgh

    Trainee
    28800 - 48000 £ / year (est.)
  • P

    Pontoon

    100-200
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