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# Machine Learning Software Engineer

- **Company:** Searchability
- **Location:** London, UK (Remote available)
- **Salary:** £56,716.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Customer Data Management, Python (Programming Language), Machine Learning, Pair Programming, Tensorflow, Software Engineering, Pytorch, Build Management, Scikit Learn, Machine Learning Operations, Docker
- **Published:** October 15, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5927309819

## About the Role

* Strong Python skills and a solid software engineering background
 * Understanding of the full machine learning lifecycle and experience deploying models into production
 * Experience with frameworks such as Scikit-learn, TensorFlow or PyTorch
 * Hands-on experience with AWS, Azure or GCP, including cloud infrastructure and architecture
 * Experience with Docker and Kubernetes for containerisation and orchestration
 * Understanding of core machine learning concepts, probability, statistics and experimentation
 * Strong communication skills, with the ability to engage technical teams and non-technical stakeholders
 * Ability to take ownership of projects and deliver scalable, high-quality solutions in a fast-paced environment

Desirable: Experience working with retail, consumer, ecommerce, marketing, supply chain or customer data.

 * Talent Team Screen (30 minutes)
 * Pair Programming Interview (90 minutes)
 * System Design Interview (90 minutes)
 * Commercial Interview (60 minutes)

We welcome applications from candidates with diverse backgrounds. If you don't meet every requirement but have relevant strengths and a genuine interest in machine learning, we'd still encourage you to apply.

## Description

You'll take a hands-on role building and deploying production-grade machine learning systems, developing scalable software solutions and working closely with clients to turn complex challenges into measurable business outcomes.

 * Build and deploy production-grade machine learning software, tools and infrastructure
 * Develop reusable, scalable solutions to accelerate AI delivery
 * Work across machine learning projects, from initial scoping through to deployment
 * Contribute to technical architecture and engineering best practices
 * Collaborate with engineers, data scientists, product teams and commercial stakeholders
 * Apply machine learning to challenges such as demand forecasting, customer analytics, personalisation, pricing and inventory management
 * Advise clients on technical solutions, translating complex ML concepts into practical business outcomes
 * Support organisations in adopting AI to improve customer experience and operational efficiency