Infrastructure engineer Work, Jobs in Murton, Nyk (with Salaries)

Infrastructure Engineer (AI Platforms)
Maple Logic —York
- £85,000 - £125,000 a year
Quick apply
2d
Infrastructure Engineer
HM Revenue and Customs —Leeds
- £37,682 - £40,705 a year
- Part-time
- Hybrid work
- Presentation skills
- Travel
- Analytics
- Work from home
Microsoft 365 Engineer
OneAdvanced —York
- Microsoft Access
- Azure
- Maintenance
- Employee assistance programme
- Bereavement leave
Java Developer
CGI —Leeds
- Full-time
- DevOps
- Databases
- Scripting
Quick apply
Senior Infrastructure Operations Engineer - (DevOps/Platform)
HM Revenue and Customs —Leeds
- £45,544 - £49,523 a year
- Part-time
- Hybrid work
- Presentation skills
- Travel
- Mentoring
- Work from home
14d
Senior AI Engineer (Associate)
Maple Logic —York
- £60,000 - £120,000 a year
- Software development
- AI
Quick apply
2d
Cloud Engineer
SmartPandas —York
- £40,000 - £80,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Agile
- Flexible schedule
Quick apply
2d
.NET Developer
PureNet Solutions —York
- JavaScript
- Free parking
Senior Microsoft 365 & Cloud Engineer
QLine IT —Leeds
- £35,000 a year
- Full-time
- Hybrid work
- Azure
- Windows
- SharePoint
- Free parking
- Employee discount
Quick apply
Network Operations Engineer
TIEVA —Leeds
- £45,000 - £55,000 a year
- Full-time
- Hybrid work
- Free parking
- Employee assistance programme
Quick apply
Junior Software & Systems Engineer
Worknest Secure —Leeds
- Hybrid work
- DevOps
- Analysis skills
- Software development
- Annual leave
IT Support Engineer
Radar Healthcare —Leeds
- Up to £35,000 a year
- Hybrid work
- Computer networking
- SharePoint
- Communication skills
- Work from home
- Employee assistance programme
Quick apply
9d
Document Controller
BAM Construction —Leeds
- Computer literacy
- Writing skills
- Computer skills
DevOps Engineer
CodeClouds —York
- £15 - £20 an hour
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
Quick apply
1d
Validation Engineer
BLAIZE —Leeds
- £55,000 - £65,000 a year
- Python
AI Security Engineer (Consultant)
Maple Logic —York
- £90,000 - £130,000 a year
- Master's degree
- AI
Quick apply
2d
Junior Data Engineer
Oakland —Leeds
- Hybrid work
- Azure
- DevOps
- SQL
- Annual leave
- Referral programme
Software Engineer
BLAIZE —Leeds
- £40,000 - £43,000 a year
- Engineering
- Java
- C++
MLOps Engineer
Hiscox —York
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
14d
Principal Platform Security Engineer
Hiscox —York
- Full-time
- Azure
- DevOps
- Agile

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Infrastructure Engineer (AI Platforms)

Maple Logic
York

Quick apply

Job details

Permanent
£85,000 - £125,000 a year
2 days ago

Qualifications

Technical troubleshooting
Cloud architecture
Software development operations experience
Cloud engineering experience
Docker
CI/CD pipelines
Continuous integration
Operational security implementation
Cybersecurity
DevOps implementation
Infrastructure provisioning automation

Full job description

We are looking for an infrastructure engineer to design, build, and operate the platforms that production AI workloads depend on - from cloud infrastructure and networking to CI/CD and observability.

You will help clients create stable, secure foundations for AI systems, so that engineers can iterate quickly without compromising reliability or cost.

Role overview

You will support our clients in building reliable, secure infrastructure for AI products and internal tools, working across cloud platforms, deployment pipelines, and runtime environments.

Projects might involve designing a new environment for an AI product, simplifying an overly complex platform, or improving visibility and incident response for existing services.

You will often join when a team knows their platform is "a bit of a mess" or hard to evolve, and you will help them move towards a simpler, more standardised setup that is easier to reason about, operate, and secure.

What you might work on

Designing and operating infrastructure on AWS, GCP, or Azure for AI and data-heavy workloads.
Improving CI/CD pipelines, release processes, and deployment strategies.
Setting up monitoring, logging, and alerting for services that integrate LLMs and other AI components.
Collaborating with application engineers to make systems more reliable, secure, and observable.
Helping teams standardise patterns for new services so they are secure, observable, and easy to operate from day one.

About you

Experience with modern cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code.
Comfortable with containers (Docker, Kubernetes or similar) and CI/CD tooling.
Enjoys diagnosing tricky production issues across infrastructure and application layers.
Security-conscious approach to configuration, access, and data handling, with a bias towards least privilege and defence in depth.
Happy collaborating with both platform and application engineers to land pragmatic solutions.

Quick apply

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infrastructure engineer jobs in murton, nyk

Infrastructure Engineer (AI Platforms)