Azure Infrastructure Architect, Azure Engineer, AI, ML
Job Description
Job title: Azure Infrastructure Architect, Azure Engineer, AI, ML
Company: People Source Consulting
Job description: Our client a Global Solutions provider are seeking to recruit an Azure Infrastructure Architect/Senior Azure Engineer who has a passion for Machine Learning and AI. You will bring the below skill set:
Responsibilities: * Architect, design, and implement scalable and robust infrastructure solutions for machine learning and scientific research pipelines on Microsoft Azure, ensuring stability, performance, and security.
- Collaborate with cross-functional teams, including scientists, researchers, and software engineers, to understand requirements and translate them into Azure-based infrastructure solutions.
Minimal Requirements: * Degree in Computer Science, Mathematics, Physics, Engineering or related fields
- 2+ years of experience in infrastructure engineering, with a focus on Microsoft Azure.
Preferred: * Proficiency with Linux and Linux system administration
- Experience working with very large datasets
- Proficiency in Python
- Familiarity with CI/CD tools (e.g., Azure Dev Ops).
- Familiarity with Docker or other virtualization technologies
If you are excited about making a meaningful impact in AI-driven scientific research and possess the skills and experience outlined above please submit your cv directly to simon.gukhool@experis.co.uk for an immediate interview
People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Expected salary: £60000 – 95000 per year
Location: London
