Junior MLOps Engineer
Edinburgh, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Aveni UK
lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A More ❯
Employment Type: Permanent
Salary: GBP Annual
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