Junior cloud architect Work, Jobs in London (with Salaries)

AI Infrastructure Junior Architect
Accenture —London
- Full-time
- Computer Science
- Engineering
- Java
Junior AI Software Engineer
Vodafone —London
- Full-time
- Java
- Master's degree
- Continuous improvement
Junior Architectural Technologist
AECOM —London
- Full-time
- Hybrid work
- AutoCAD
- Continuous improvement
- No degree
1d
Network Support Engineer
Millennium Digital Technologies Ltd. —Great Portland Street Station
- £30,000 - £45,000 a year
- Full-time
- Hybrid work
- English
- Health & wellbeing programme
- Flexitime
Quick apply
2d
SRE Architect (68019)
Hitachi —London
- Full-time
- Azure
- Computer Science
- DevOps
2d
AWS Solutions Architect
TransAct, a Presidio Company —London
- Hybrid work
- AWS
- Travel
- IT
Cloud Platform Architect (68020)
Hitachi —London
- Full-time
- Azure
- Computer Science
- Engineering
2d
G7 Technical Architect
Cabinet Office —London
- £62,988 - £68,558 a year
- Part-time
- AWS
- Presentation skills
- APIs
- Annual leave
10d
.NET Software Developer- Various locations across the UK
FDM Group —London
- Hybrid work
- Azure
- APIs
- Communication skills
- Annual leave
8d
Big Data Architect
DataSpartan Consulting —London
- Azure
- AWS
- IT
Cybersecurity Consultant
Capgemini —London
- Hybrid work
- DevOps
- Business development
- AWS
Data Scientist, Artificial Intelligence
FTI Consulting —London
- Full-time
- Computer Science
- SQL
- AWS
Cloud Architect
FalconSmartIT —London
- Hybrid work
- Azure
- AWS
- Travel
Quick apply
Associate Director, Platform Architect (Technology Industry), Engineering, Technology & Transformation
Deloitte —London
- Hybrid work
- Azure
- DevOps
- Business development
Sr. Frontend Engineer - Graph UI (Hybrid, London)
CrowdStrike —London
- Full-time
- JavaScript
- APIs
- IT
SRE Architect (68019)
Hitachi Rail —London
- Full-time
- Azure
- Computer Science
- DevOps
2d
AI Engineer – Agentic AI (Training & Enablement)
Kubrick Group —London
- £90,000 - £130,000 a year
- Azure
- DevOps
- SQL
Reya Labs - Rust Engineer
deCircle —London
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
Artificial Intelligence Engineer
Oxford Dynamics —London
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
- Flexible schedule
Quick apply
Cybersecurity Consultant
Capgemini Sogeti —London
- Hybrid work
- DevOps
- Business development
- AWS
14d

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AI Infrastructure Junior Architect

Accenture -
London

Apply Now

Job details

Full-time

Qualifications

Computer Science
Kubernetes
Engineering
Java
C++
Docker
Bachelor's degree
Machine learning
AI
Python

Full job description

YOU ARE

As a hands on Infrastructure architect, you are an early-career engineer who learns and grows while contributing hands-on to the AI and machine learning infrastructure that powers real-world applications. Under the guidance of senior architects and engineers, you'll develop practical skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on. Day to day, you'll write and test code and deployment scripts, help configure cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and support data pipelines that feed AI and ML workflows. You'll learn to monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and troubleshoot issues across the computational stack with mentorship and support. This is a hands-on, learning-focused where you build expertise across modern tools and platforms — including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring — while making meaningful contributions to infrastructure that enables AI-driven business outcomes.

THE WORK

Write, test, and debug code and scripts for AI infrastructure tasks, including automation and tooling, under the guidance of senior engineers.

Develop and maintain infrastructure and software deployment scripts to support reliable, repeatable releases of AI systems and models.

Configure and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups.

Deploy AI systems and machine learning models into production infrastructure, following established processes and best practices.

Deploy data pipelines that feed AI and ML workflows, ensuring data is available, clean, and reliable.

Assist with container orchestration and model serving, learning tools such as Docker, Kubernetes, and model deployment frameworks.

Support and maintain CI/CD pipelines for automating the build, test, and deployment of AI infrastructure and applications.

Monitor AI systems and infrastructure health across InfraOps and MLOps disciplines, tracking performance, reliability, and resource utilization.

Perform AI monitoring to track model performance, detect drift or degradation, and surface issues for review.

Troubleshoot and help resolve issues across the computational stack — hardware, networking, software, and models — with mentorship and support.

Document configurations, processes, and procedures to maintain clear, repeatable, and shareable knowledge across the team.

Collaborate with senior architects and engineers, participating in code reviews, team discussions, and knowledge-sharing sessions to grow technical skills.

Apply security, cost-efficiency, and scalability best practices as you learn them, contributing to well-managed and responsible infrastructure.

DUCATION

Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field

BASIC (REQUIRED) QUALIFICATION

Work or coursework experience with AI/ML or Computer engineering or Computer science.

Experience in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.

Strong understanding of AI and machine learning as a subject.

Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.

Proficiency in programming languages such as Python, Java, or C++.

Apply Now

Refine Your Search

junior cloud architect jobs in london

AI Infrastructure Junior Architect

Junior AI Software Engineer

Junior Architectural Technologist

Network Support Engineer

SRE Architect (68019)

AWS Solutions Architect

Cloud Platform Architect (68020)

G7 Technical Architect

.NET Software Developer- Various locations across the UK

Big Data Architect

Cybersecurity Consultant

Data Scientist, Artificial Intelligence

Cloud Architect

Associate Director, Platform Architect (Technology Industry), Engineering, Technology & Transformation

Sr. Frontend Engineer - Graph UI (Hybrid, London)

SRE Architect (68019)

AI Engineer – Agentic AI (Training & Enablement)

Reya Labs - Rust Engineer

Artificial Intelligence Engineer

Cybersecurity Consultant

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