Social network you want to login/join with:
col-narrow-left
Client:
Few&Far
Location:
Cardiff, United Kingdom
Job Category:
Other
-
EU work permit required:
Yes
col-narrow-right
Job Views:
6
Posted:
31.05.2025
Expiry Date:
15.07.2025
col-wide
Job Description:
Fully Remote within the UK
Up to £150k + Stock + Benefits
Join a US scale-up on a mission to empower Engineering teams to deliver their best work by simplifying the deployment of Machine Learning models.
As they expand their global footprint, have raised Series C funding, and grown over 30% in 3 months, they’re seeking a talented Forward Deployed Engineer to join the UK team!
About the Role
As a Forward Deployed Engineer, you'll collaborate directly with customers to understand challenges and engineer ML-based deployment solutions.
You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability, and efficiency.
You’ll work alongside teams that have joined from world-class tech companies like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub, and Uber.
Key Responsibilities
* Partner with customers to identify and address their ML deployment needs.
* Implement and optimise ML solutions using Python, open-source tools, and infrastructure.
* Collaborate with cross-functional teams to enhance product features based on client feedback.
* Work with Python, PyTorch, TensorFlow, Kubernetes, Docker, and cloud platforms.
Ideal Candidates have
* 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment.
* Some interest or experience with the lifecycle of ML model development and deployment.
* Computer Science degree or similar field of study.
* Excellent English communication skills with proven experience liaising effectively with customers (other Software Engineers or ML Engineers).
* Strong problem-solving skills and a customer-centric, Product Engineering mindset.
This role provides insight into the opportunities and challenges companies face when implementing AI/ML solutions at scale.
#J-18808-Ljbffr