Machine Learning Engineer

Overview

AI Systems Engineer
Location HQ
Bangalore (On-site)
£18,000 – £26,000 per year (GBP anchored)
Plus Performance bonus

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About Location HQ

Location HQ is a London-founded company operating at the highest levels of film, television, commercial, music video, and photography. We work with major global studios and platforms including Marvel, Universal, Netflix, Amazon, Disney, Lucasfilm, and many others.

Our work has supported major international productions including multiple Batman and James Bond productions, as well as X-Men, Spider-Man, Avengers, The Wolf of Wall Street, Thor, Prometheus, Jurassic Park, Black Widow, World War Z, and many more.

We operate with small, focused teams across London, Bangalore, and Dubai, delivering in environments where speed, discretion, and reliability matter.

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The Role:

We are hiring an AI Systems Engineer.

This is a practical, fast-moving, outcome-driven role. You will be responsible for building and improving internal systems that support how the business operates day-to-day.

Success in this role is measured by:
• Systems that work in real environments
• Reduction in manual workload
• Improved decision-making
• Clear commercial impact

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How We Work:

This is a small team, high-responsibility environment.
• Decisions are made quickly
• Systems are expected to ship early and improve over time
• There is minimal process and no heavy management structure

This is not a role where you will be given step-by-step instructions.

If you prefer:
• Detailed specifications
• Slow timelines
• Large teams

This role is unlikely to suit you.

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What You’ll Be Doing:

• Writing and maintaining production-grade code
• Building and improving internal systems
• Working with structured and unstructured data
• Supporting and improving operational workflows
• Reducing manual effort across the business
• Maintaining and iterating on systems once deployed
• Building and working with AI-driven systems

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Who This Role Is For:

This role suits someone who:
• Can build real systems
• Is comfortable working with ambiguity
• Can move from idea to working system quickly
• Is happy owning problems end-to-end
• Prefers responsibility over structure

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Who This Role Is Not For:

This role is not suitable for:
• Prompt engineers without strong technical depth
• No-code or low-code tool operators
• Candidates who rely heavily on AI without understanding systems
• Engineers who require heavy process or supervision
• Candidates who prefer theory over execution

If you have not built a working AI system end-to-end before, this role is unlikely to be a good fit.

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Working Style
• On-site in Bangalore
• Full-time, permanent role
• Fast-moving SME environment

We move quickly. Systems are expected to ship and improve, not sit in development.

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Final Note:

For the right person, this is a builder’s role: design, ship, improve, and move forward.