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Graduate Machine Learning and AI Engineer

Job in Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: Pontoon
Part Time, Contract position
Listed on 2026-02-05
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Data Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 30000 - 38000 GBP Yearly GBP 30000.00 38000.00 YEAR
Job Description & How to Apply Below
Position: Graduate Machine Learning and AI Engineer (Contract)
Job title:

Graduate Machine Learning and AI Engineer

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 an a motivated, detail focused 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. Additionally, you will have the opportunity to be involved with model deployment, automation & CI/CD. You will also be deploying these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.

Key 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 the following:
Python, Kubernetes, Docker.
Experience using CI/CD Tools:
Jenkins, Git Hub Actions, or Azure Dev Ops.
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
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