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- Tasks: Build and optimise AI workflows, deploy models, and automate processes.
- Company: Join a leading financial services firm in Edinburgh with a hybrid work model.
- Benefits: Competitive salary, professional growth, and a supportive work environment.
- Why this job: Make an impact in AI while working with cutting-edge technologies.
- Qualifications: Experience in machine learning, Python, Kubernetes, and CI/CD tools.
- Other info: 12-month contract with potential for extension and excellent career development.
The predicted salary is between 30000 - 38000 £ per year.
Location: Edinburgh
Hybrid role: working 2 days a week in the office
Salary: 30,000 to 38,000
Contract: 12-month fixed term contract
Our market-leading financial services client is seeking a motivated, detail-oriented Graduate Machine Learning and AI Engineer to join the Business Transaction Banking division. This role involves building and optimising agent workflows, integrating LLMs with internal tools/data. You will also be involved with model deployment, automation & CI/CD, and deploying artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.
Responsibilities
- Model Deployment: Take trained AI/ML models and package them into deployable artefacts (e.g., Docker images).
- Kubernetes Orchestration: Deploy these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.
- Automation & CI/CD: Build pipelines for automated deployment, testing, and monitoring of models.
- Environment Management: Handle containerisation (Docker), networking, and configuration for production environments.
- Monitoring & Logging: Implement tools to track model performance, resource usage, and system health.
Skills and Experience
- Have research or practical experience with machine learning engineering and artificial intelligence.
- Experience using Python, Kubernetes, Docker.
- Experience using CI/CD tools: Jenkins, GitHub Actions, or Azure DevOps.
- Experience using Cloud Platforms: AWS, Azure, or GCP.
- Basic Machine Learning Knowledge: Understanding of how models work to troubleshoot deployment issues.
- Great attention to detail.
- Analytical mindset and uses a methodological approach to complete tasks.
- Resilient, confident, professional, and able to work effectively with multiple teams.
You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation. Initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset. If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW.
Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion; we may however keep your details on file for any suitable future vacancies and contact you accordingly. Adecco Emerging talent is an employment consultancy and operates as an equal opportunities employer.
Graduate Machine Learning And AI Engineer employer: Pontoon
Contact Detail:
Pontoon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Machine Learning And AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Graduate Machine Learning And AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and AI. 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 explain why you’re passionate about this role and how your background makes you a great fit. Keep it concise but engaging – we love a good story!
Show Off Your Technical Skills: Since this role involves a lot of technical work, make sure to mention your experience with Python, Kubernetes, and Docker. If you've worked with CI/CD tools or cloud platforms, let us know – we’re keen to hear about it!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Pontoon
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, Kubernetes, and Docker. Brush up on your knowledge of CI/CD tools like Jenkins or GitHub Actions, as well as cloud platforms such as AWS or Azure. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about any relevant projects or experiences you've had with machine learning and AI. Whether it's a university project or a personal endeavour, be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the role and the company. Ask about their current projects, the team dynamics, or how they approach model deployment and automation. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Demonstrate Your Analytical Mindset
Since the role requires a detail-oriented and analytical approach, be ready to discuss how you tackle complex problems. You might be asked to solve a hypothetical scenario during the interview, so practice articulating your thought process clearly and methodically. This will highlight your ability to think critically under pressure.
