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Machine Learning Software Engineer - DV Cleared

Job in City Of London, Central London, Greater London, England, UK
Listing for: Searchability
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below

MACHINE LEARNING ENGINEER
UK | Hybrid / Remote

We’re looking for a Machine Learning Engineer to join a growing AI team, delivering impactful AI solutions for clients across retail, consumer, ecommerce and digital commerce.

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.

THE ROLE
  • 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
WHAT WE’RE LOOKING FOR
  • Commercial experience in Machine Learning Engineering
  • 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, Tensor Flow or Py Torch
  • 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.

INTERVIEW PROCESS
  • 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.

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