Base: £30,000 - £38,000; bonus/equity: not specifi...
Hybrid (2 days onsite)
Machine learning and artificial intelligence background
Python programming proficiency
Docker containerization experience
Haystack is offering a Graduate Artificial Intelligence Engineer position within a leading financial services firm, focusing on building and optimizing AI workflows. The role emphasizes hands-on experience with MLOps, Kubernetes, and CI/CD pipelines, aiming for a strong candidate with a relevant academic background and technical skills
Job Summary
This role offers a rare chance for a high-potential graduate to gain hands-on experience with production-level Kubernetes, MLOps, and CI/CD pipelines within a massive scale environment.
You will be responsible for building and optimizing sophisticated AI agent workflows and integrating Large Language Models into enterprise-grade tools.
The position includes a competitive salary range of £30,000 - £38,000, a hybrid working model, and a 12-month fixed-term contract with significant scope for extension.
Matching Summary
Match Score: 85
Haystack is offering a Graduate Artificial Intelligence Engineer position within a leading financial services firm, focusing on building and optimizing AI workflows. The role emphasizes hands-on experience with MLOps, Kubernetes, and CI/CD pipelines, aiming for a strong candidate with a relevant academic background and technical skills.
Salary
Base: £30,000 - £38,000; Bonus/Equity: Not specified; Benefits: Hybrid working model, professional support, career progression
Skills & Requirements
Must-have
Machine Learning and Artificial Intelligence background
Python programming proficiency
Docker containerization experience
Kubernetes orchestration skills
CI/CD pipeline implementation
Nice-to-have
Cloud platform exposure (AWS, Azure, GCP)
Analytical troubleshooting mindset
Production-level infrastructure knowledge
High-potential graduate candidate
Key Requirements
Strong academic background in Machine Learning or AI
Hands-on technical proficiency with Python
Familiarity with Jenkins, GitHub Actions, or Azure DevOps