Machine learning engineer Work, Jobs in Dundee (with Salaries)

Senior Research Infrastructure Engineer
University of Dundee —Dundee
- £46,735 - £55,755 a year
- Azure
- Doctoral degree
- DevOps
Junior/Graduate Software Engineer
NCR Atleos —Dundee
- Azure
- Computer Science
- Engineering
Quick apply
Principal Data & AI Consultant
Waracle —Dundee
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
- Annual leave
- Employee assistance programme
Quick apply
2d
Draughtsperson - Build Strategy
NAVANTIA UK —Leven
- Full-time
- AutoCAD
- Spanish
- Engineering
Quick apply
Legal Counsel
DC Thomson —Dundee
- Full-time
- Hybrid work
- Contracts
- AI
- Negotiation
Quick apply
14d
Enterprise AI Manager
Insights Learning & Development Ltd —Dundee
- Full-time
- Hybrid work
- AI
- Employee assistance programme
- Employee discount
Quick apply
3h
SW Engineer II
NCR Atleos —Dundee
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick apply
13d

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Senior Research Infrastructure Engineer
University of Dundee —Dundee
Experience delivering secure systems handling sensitive or confidential data. Familiarity with Windows systems administration. Who we're looking for:
£46,735 - £55,755 a year
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machine learning engineer jobs near dundee

Senior Research Infrastructure Engineer

University of Dundee -
Dundee

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Job details

Fixed term contract
£46,735 - £55,755 a year

Qualifications

Cloud infrastructure
System administration
Azure
Doctoral degree
Kubernetes
DevOps
Engineering
Microsoft SQL Server
Mathematics
Git
Google Cloud Platform
Windows
Information security
Bash (Unix shell)
AWS
Maths
Docker
PostgreSQL
Terraform
Scripting
Data pipeline
Cloud computing
Linux
Python

Full job description

Closing date

Friday, 24 July 2026, 23:59

Salary

£46,735 - £55,755 per annum
Grade 8

Contract type

Fixed Term

Campus

Ninewells

School/Directorate

School of Medicine

Unit/Department

Health Informatics Centre (HIC)

The Health Informatics Centre (HIC) at the University of Dundee is seeking an enthusiastic and innovative Senior Research Infrastructure Engineer to join our growing Infrastructure Team to help design and deliver the next generation of our secure research infrastructure.

You will play a key role in building and evolving our Trusted Research Environment (TRE)-a secure platform enabling cutting-edge research using sensitive health and population data. This includes support for AI/ML, genomics, imaging, and large-scale analytics in a highly governed environment.

This is an exciting opportunity to lead technical innovation, influence architectural decisions, and shape the future of research infrastructure operating across hybrid cloud and on-premises platforms.

Your priorities will include:

Lead development of our Kubernetes-based TRE platform on AWS, evolving toward hybrid architectures.
Design, deploy, and manage infrastructure across local, private, and public cloud environments.
Implement Infrastructure as Code (e.g. Terraform) and modern DevOps practices.
Ensure all infrastructure meets strict security, information governance, and ISO27001 standards.
Collaborate with researchers, data engineers, developers, and data specialists to deliver impactful solutions.
Provide technical leadership, mentoring, and guidance within the team.
Build and support custom configurations, including virtualised environments, containers, and hybrid cloud architectures.
Implement new technical capabilities including AI/ML support, HPC, bioinformatics, imaging and genomics pipelines, and scalable storage/compute solutions.
Contribute to the development of secure workflows for data ingress/egress, including algorithms and ML model export.
Provide technical support, troubleshooting, and problem-solving across infrastructure components.
Communicate complex technical concepts clearly to both specialist and non-specialist stakeholders.

Who we're looking for:

Degree in computing, engineering, maths, or a related STEM discipline.
Expertise in Linux systems, containerisation (Kubernetes), and Infrastructure as Code.
Proficiency in scripting (e.g. Python, Bash) and modern DevOps toolchains.
Strong experience with cloud or hybrid infrastructure (AWS preferred).
Experience delivering secure systems handling sensitive or confidential data.
Solid understanding of networking, monitoring, and system reliability.
Ability to communicate complex technical concepts to varied audiences.
Experience deploying or managing server, cloud, or container-based infrastructure supporting production environments.
Understanding of secure cloud computing, information governance, and managing confidential/sensitive data.
Familiarity with Windows systems administration.
Ability to work both independently and collaboratively as part of a multidisciplinary team. * Proactive, problem-solving mindset with the ability to take ownership of tasks and deliver to deadlines.

Desirable

PhD in computing, engineering, maths, or a related STEM discipline.
Experience with public cloud (AWS, Azure, GCP) or hybrid cloud deployments.
Background in HPC, bioinformatics or research computing.
Experience with genomics or imaging data pipelines.
Familiarity with Kubernetes, Docker, and container orchestration best practices.
Knowledge of ISO27001 or other information security management frameworks.
Experience with CI/CD pipelines, Git version control, and automation tools.
Understanding of RDBMS technologies (SQL Server, PostgreSQL).
Experience with monitoring systems such as CloudWatch, Prometheus, or similar.
Contribution to research projects or academic publications.
Strong interest in secure system design, root-cause problem analysis, and operational simplicity.

To learn more about HIC please visit https://www.dundee.ac.uk/hic/.

Apply Now

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machine learning engineer jobs in dundee

Senior Research Infrastructure Engineer

Junior/Graduate Software Engineer

Principal Data & AI Consultant

Draughtsperson - Build Strategy

Legal Counsel

Enterprise AI Manager

SW Engineer II

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