Senior Ml Engineer: End-To-End Production Systems
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
Digital Waffle is building real AI agents and seeks a full-time Machine Learning Engineer to own the ML stack from data to production.You will bridge research and production, shipping end-to-end pipelines, training, evaluation, and deployment at scale while improving latency and cost.You’ll work with Py Torch/JAX and tools like Deep Speed, Megatron, and Ray, designing robust systems, quantisation, and memory optimisations.Strong ownership and hands-on delivery are essential.
Requirements
Digital Waffle is building real AI agents and seeks a full-time Machine Learning Engineer to own the ML stack from data to production. You will bridge research and production, shipping end-to-end pipelines, training, evaluation, and deployment at scale while improving latency and cost.You’ll work with Py Torch/JAX and tools like Deep Speed, Megatron, and Ray, designing robust systems, quantisation, and memory optimisations. Strong ownership and hands-on delivery are essential.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path
MLOps – What’s the deal behind it?
What Are Large Language Models?
Navigating the AI Shift