Software Engineer
FacultyDecision Intelligence company
London, United KingdomMid
LocalGlobe
Apax Digital
Metaplanet Holdings
Mercuri
Moonfire
Guardian Media Group Ventures
Data & AI
About the role
TL;DR
Build and deploy production-grade ML software and infrastructure for diverse clients.
- •Join Faculty as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for diverse clients, bringing machine learning from the lab into the real world.
- •You will contribute to scalable software architecture and define best practices, ensuring the timely delivery of high-quality, production-grade ML systems.
- •Key Responsibilities Build and deploy production-grade ML software, tools, and infrastructure.
- •Create reusable, scalable solutions that accelerate ML system delivery.
- •Collaborate with engineers, data scientists, and commercial leads to solve client challenges.
- •Lead technical scoping and architectural decisions for project feasibility and impact.
- •Define and implement Faculty’s standards for deploying machine learning at scale.
- •Requirements Experience operationalizing models with frameworks like Scikit-learn, TensorFlow, or PyTorch.
- •Strong Python skills and experience in software engineering best practices.
- •Hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure.
- •Experience with container and orchestration tools like Docker & Kubernetes.
- •Comfort with core ML concepts, including probability, statistics, and learning techniques.
Required skills
Pythonscikit-learnTensorFlowPyTorchAWSAzureGoogle CloudDockerKubernetes
Domain expertise
defensegovernmentai
Benefits & perks
Unlimited Annual Leave Policy, Private healthcare and dental, Enhanced parental leave, Family-Friendly Flexibility & Flexible working, Sanctus Coaching, Hybrid Working
Tech stack
PythonTensorFlowPyTorchscikit-learnAWSAzureGoogle CloudDockerKubernetes