Software Engineer

Faculty
London, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Python (Programming Language) Machine Learning Tensorflow Software Safety Software Engineering Google Cloud Pytorch Build Management
+3 more
Scikit Learn Machine Learning Operations Docker

Job 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

Requirements

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

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Good distractions

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