This is suited to someone who combines research-level intuition with strong production engineering. You won’t be working on isolated experiments or publishing models that never leave a notebook. Your work will become the proprietary intelligence at the centre of a live product used to test real games.

What You’ll Be Doing

• Fine-tune and optimise Vision-Language Models using custom gameplay footage.
• Enable agents to interpret complex interfaces, animations and changing game states.
• Design model inputs that capture temporal context across video sequences rather than treating gameplay as a collection of static frames.
• Build and automate data pipelines that convert raw gameplay into high-quality, annotated training datasets.
• Optimise models for the latency, throughput and inference-cost requirements of real-time gameplay.
• Create evaluation suites and benchmarks that measure genuine agent capability.
• Take research ideas through experimentation, validation and production deployment.
• Help define the technical architecture, modelling strategy and engineering standards of an early-stage AI product.

What We’re Looking For

• Substantial hands-on experience training or fine-tuning multimodal or Vision-Language Models.
• Strong understanding of transformer architectures and what happens beneath high-level model APIs.
• Experience with models or approaches such as LLaVA, CLIP, Flamingo or comparable multimodal architectures.
• Experience working with video data and modelling temporal context, potentially involving temporal attention, optical flow or video representation learning.
• A record of deploying deep-learning models into production environments where latency, reliability and cost matter.
• The ability to translate promising research into robust, maintainable systems.
• Comfort operating in a high-ownership, zero-to-one environment with incomplete information and rapidly changing priorities.
• A preference for shipping useful technology over producing research that remains theoretical.

An interest in games, simulation or complex interactive environments is important.

Why Join?

• Architect the core intelligence behind a new category of autonomous agent.
• Work on a difficult multimodal problem involving vision, video, reasoning and action.
• Own technical decisions across the full model lifecycle.
• See your work deployed quickly and used by major game studios.
• Work directly with the founders in a small, technically ambitious team.
• Receive meaningful equity in the company you are helping to build.
• Flexible working hours and a culture based on trust, ownership and output.

Please apply directly or email me your CV to adam.lockett@sr2rec.co.uk