Forward Deployed Engineer - Remote UK - Up to £150k

Few&Far; United Kingdom; Remote; GBP 100,000 - 150,000; Full time

Job summary

Join Few&Far as a Forward Deployed Engineer to empower engineering teams through Machine Learning solutions. With a strong focus on customer collaboration, you'll implement optimized, scalable solutions in a fast-paced, innovative environment that fosters professional growth.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Interest in ML model development & deployment.
• Proven experience liaising effectively with customers.

Responsibilities

• Partner with customers to address their ML deployment needs.
• Implement and optimise ML solutions using Python.
• Collaborate with teams to enhance product features.

Skills

Python

Communication

Problem-solving

Education

Computer Science degree

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

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This range is provided by Few&Far. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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, 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
• 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

Apply with an updated CV to learn more!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting and Engineering

• Industries

  Information Services, Software Development, and IT System Custom Software Development

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