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# Software Engineer

- **Company:** Faculty
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Tensorflow, Software Safety, Software Engineering, Google Cloud, Pytorch, Build Management, Scikit Learn, Machine Learning Operations, Docker
- **Published:** August 11, 2026
- **Apply:** https://eu.experteer.com/career/view-jobs/software-engineer-london-grossbritannien-58891664

## About the Role

aaaaaaaaaaaad_ models with Scikit-learn, TensorFlow, or PyTorch * Strong Python and software engineering practices * Hands-on experience with cloud platforms (AWS, Azure, GCP) including architecture and security * Experience with Docker and Kubernetes * Knowledge of core ML concepts like probability and statistics * Excellent communicator able to guide technical and non-technical stakeholders * Ability to work in fast-paced environment and own scope Key requirements * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working

## Description

Experteer Overview In this role you will bring machine learning from lab to real-world impact, building scalable ML software and defining best practices. You'll work with cross-functional teams to deliver production-grade solutions that meet client needs in national security and AI safety. You'll influence architectural decisions and define deployment standards to ensure scalable, secure AI. This is a chance to shape responsible AI at scale for government and industry partners. Pay / Benefits * Build and deploy production-grade ML software, tools, and infrastructure * Create reusable, scalable ML solutions to accelerate delivery * Collaborate with engineers, data scientists and commercial leads to solve client challenges * Lead technical scoping and architectural decisions for feasibility and impact * Define and implement standards for deploying ML at scale * Act as technical advisor translating ML concepts for stakeholders Tasks * Understanding of full ML lifecycle * Experience operationalising models with Scikit-learn, TensorFlow, or PyTorch * Strong Python and software engineering practices * Hands-on experience with cloud platforms (AWS, Azure, GCP) including architecture and security * Experience with Docker and Kubernetes * Knowledge of core ML concepts like probability and statistics * Excellent communicator able to guide technical and non-technical stakeholders * Ability to work in fast-paced environment and own scope Key requirements * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working


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