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Forward deployed engineer - remote uk

West End
Few&Far
Engineer
Posted: 12h ago
Offer description

Job Description

Forward Deployed Product Engineer (Python)


📍Fully Remote within the UK

💷 Up to £160k + Stock + Benefits

⚙️ Series C, Developer Tooling / ML Deployments


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, engineering 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


Apply with an updated CV to learn more!

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