Ai platform engineer Work, Jobs in Leeds, Wyk (with Salaries)

Infrastructure Engineer (AI Platforms)
Maple Logic —York
- £85,000 - £125,000 a year
Quick apply
6d
AI Engineer
Leeds Building Society —Leeds
- Hybrid work
- AI
- Python
AI Platform Engineer
CreateFuture —Leeds
- Full-time
- Hybrid work
- Master's degree
- AWS
- Travel
Quick apply
7d
AWS Platform Engineer
CGI —Leeds
- Full-time
- AWS
Quick apply
AI Engineer
Waystone —Leeds
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
13d
Cloud Engineer - AI
evoke —Leeds
- Full-time
- Hybrid work
- AWS
- Machine learning
- AI
- Annual leave
- Work from home
Principal AI Platform Engineer
CreateFuture —Leeds
- Full-time
- Hybrid work
- Master's degree
- Travel
- APIs
Quick apply
7d
Senior AI Platform Engineer
CreateFuture —Leeds
- Full-time
- Hybrid work
- Master's degree
- Travel
- APIs
Quick apply
7d
Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Barnsley
- Full-time
- Master's degree
- Software development
- In-person
Quick apply
Cloud Engineer - AI - 3-6 month FTC
evoke —Leeds
- Full-time
- Hybrid work
- AWS
- Machine learning
- AI
- Annual leave
- Work from home
Junior Data Engineer
Oakland —Leeds
- Hybrid work
- Travel
- Software development
- Annual leave
- Referral programme
Senior Cloud Engineer, AI Platform SRE
CreateFuture —Leeds
- Full-time
- Hybrid work
- Master's degree
- Travel
- AI
Quick apply
7d
Lead AI Engineer
Answer Digital —Leeds
- Hybrid work
- Mentoring
- Agile
- AI
- Annual leave
Software Engineer, Platform - Leeds, United Kingdom
Speechify —Leeds
- Remote
- APIs
- Communication skills
6d
Business Process AI Engineer
SmartSearch —Ilkley
- Full-time
- Hybrid work
- Software development
- APIs
- AI
- Employee assistance programme
Quick apply
Software Engineer
BLAIZE —Leeds
- £40,000 - £43,000 a year
- Engineering
- Maths
Senior AI Engineer
CreateFuture —Leeds
- Full-time
- Hybrid work
- Master's degree
- Travel
- AI
Quick apply
7d
Operations Engineer - Apprentice
Netcompany —Leeds
- Full-time
- Hybrid work
- Communication skills
- Employee discount
Quick apply
Software Engineer
CGI —Leeds
- Full-time
- Mentoring
- Agile
Quick apply
5d
Applied AI Engineer (.NET/C#)
KERRIDGE COMMERCIAL SYSTEMS CORP —Barnsley
- Full-time
- Master's degree
- Software development
- In-person
Quick apply

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Infrastructure Engineer (AI Platforms)

Maple Logic
York

Quick apply

Job details

Permanent
£85,000 - £125,000 a year
6 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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