Forward Deployed Engineer - Remote UK

JR United Kingdom; Dartford; Remote; GBP 80,000 - 160,000; Full time

Job summary

Une entreprise de taille internationale cherche un ingénieur déployé pour rejoindre son équipe au Royaume-Uni. Vous serez responsable de collaborer avec les clients pour déployer des solutions basées sur l'IA/ML, tout en intégrant des technologies avancées. Ce poste est idéal pour les ingénieurs entrepreneuriaux désireux de faire face aux défis de la mise en œuvre des solutions IA/ML à grande échelle.

Qualifications

• Expérience de 5 ans ou plus en ingénierie logicielle Backend (Python).
• Intérêt ou expérience dans le cycle de vie des modèles ML.
• Compétences en communication anglaise excellentes avec les clients.

Responsibilities

• Travailler avec des clients pour identifier leurs besoins en déploiement ML.
• Implémenter et optimiser des solutions ML.
• Collaborer avec des équipes interfonctionnelles pour améliorer les fonctionnalités.

Skills

Optimisation

Efficacité

Résolution de problèmes

Education

Diplôme en informatique ou domaine similaire

Tools

Python

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Few&Far

Location:

dartford, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

9

Posted:

16.06.2025

Expiry Date:

31.07.2025

col-wide

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, raise Series C funding, and grow 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 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, 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, ideally as a Co-Founder or Founding Engineer.
• 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: 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.