Machine learning 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 clients.
- •Join Faculty as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for diverse clients in the energy transition sector.
- •You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices.
- •Key Responsibilities Building and deploying production-grade ML software, tools, and infrastructure.
- •Creating reusable, scalable solutions that accelerate the delivery of ML systems.
- •Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.
- •Leading technical scoping and architectural decisions to ensure project feasibility and impact.
- •Requirements Understanding of the full machine learning lifecycle and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch.
- •Strong Python skills and solid experience in software engineering best practices.
- •Hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP).
- •Comfort with core ML concepts, including probability, statistics, and common learning techniques.
Required skills
Pythonscikit-learnTensorFlowPyTorchAWSGoogle CloudAzureDockerKubernetes
Domain expertise
cleantechclimatetechai
Benefits & perks
Unlimited Annual Leave Policy, Private healthcare and dental, Enhanced parental leave, Family-Friendly Flexibility & Flexible working, Sanctus Coaching, Hybrid Working
Tech stack
Pythonscikit-learnTensorFlowPyTorchAWSGoogle CloudAzureDockerKubernetes