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Client:
Few&Far
Location:
hemel hempstead, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Views:
15
Posted:
26.06.2025
Expiry Date:
10.08.2025
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Job Description:
Fully Remote within the UK
Up to £160k + Stock + Benefits
Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning models.
As they expand their global footprint, raised Series C funding & have 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 & efficiency.
You’ll work alongside teams that have joined from world-class tech businesses 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 & infrastructure.
* Collaborate with cross-functional teams to enhance product features, based on client feedback.
* Work with Python, PyTorch, TensorFlow, Kubernetes, Docker & cloud platforms.
Ideal Candidates have
* 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or Founding Engineer.
* Some interest or experience with the lifecycle of ML model development & deployment.
* Computer Science degree or similar field of study.
* Excellent English communication skills: proven experience liaising effectively with customers (other Software Engineers or ML Engineers).
* Strong problem-solving skills and a proven customer-centric, Product Engineering mindset.
This role provides a view into the opportunities and challenges companies face implementing AI/ML solutions at scale and is ideal for Entrepreneurial Engineers.
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