Title: AI Engineer

Location: London

Compensation: £55,000–£65,000 base + equity

Visa Sponsorship: Not available at this time, must have right work in the UK.

About Game-Intuit

Game-Intuit is a Loughborough University backed spin-out building the next generation AI decision intelligence platform for professional football. We help clubs discover talent, understand player compatibility and decision-making, and make sense of complex performance data. We already have a professional club as a paying client. As we head into our seed round, our mission is clear: ship production-grade AI that clubs trust, starting in the UK and already expanding into East Asia. We are moving from "proven research" to "scale and growth."

About the Role

Game-Intuit is hiring an AI Engineer. You'll take research-grade algorithms that already work and turn them into production systems that elite football clubs rely on.

You'll bridge the gap between research code and a scalable product: making powerful algorithms fast, reliable, and cost-efficient on massive datasets so they run consistently in production. In practice, that means reducing compute time and cloud/GPU costs, improving data pipeline stability, and delivering insights to clubs with predictable performance and uptime.

This is a founding engineer role; you will grow with the company. If you love solving hard technical problems and want to shape the core architecture of the company — not support someone else’s roadmap — this role is for you.

What You'll Do

Productionize research algorithms: Take the founders' proven ML models and build them into scalable, reliable pipelines and services.
Build data pipelines: Handle ingestion, cleaning, feature generation, and dataset versioning for tracking and event data.
Optimize for performance and cost: Profile systems, remove bottlenecks, reduce runtime/memory usage, and cut cloud/GPU spend.
Own GPU-based training and inference: Work with PyTorch and CUDA — efficient batching, data loading, mixed precision, compute-aware design.
Deploy and monitor models: Ship batch and/or online inference services with logging, alerting, and monitoring that catches real issues.
Establish MLOps foundations: CI/CD, containerization, experiment tracking, model versioning, reproducible builds, safe rollout/rollback.
Collaborate with product and founders: Turn founders’ algorithm ideas into a cohesive scouting and coaching platform.

What We’re Looking For

2+ years building and shipping production ML systems, or a PhD in a related field plus 1+ year of industry experience.
PyTorch-first deep learning engineering (required): You understand how models fail in production and how to fix them.
Hands-on CUDA/GPU optimization experience (required): you’ve optimized training/inference, data loaders, kernels, memory, throughput, or similar.
Cloud computing (required): experience and cost awareness (model training, model deployment, data storage and cost optimization).
Large-scale data engineering: you’re comfortable with ugly datasets and process them.
Production readiness / MLOps: you can build systems with reproducibility, observability, and safe deployments.
Excellent Python software engineering: clean architecture, tests, reviews, docs.

Nice-to-Have

Experience with football or sports data (tracking, event, or spatiotemporal analytics).
Multi-GPU or distributed training.
High-performance inference tooling (TensorRT, Triton, model compilation, quantization).
Familiarity with sequence, multi-agent, or graph modeling.

Tech Stack

Python, NumPy, PyTorch, CUDA, SQL.

Good to have: DevOps and/or MLOps, PyTorch Profiler, Nsight, Ray, Docker, Kloppy.

Why Join Us Now?

Ownership: Founding engineer role with equity. You'll shape the product architecture and technical direction.
Growth path: Your role evolves as we scale through seed and beyond. We have a clear progression plan, plus market connection to grow fast.
Scientific depth: Work alongside leading AI researchers in sports analytics.

What We Offer

Compensation: £55,000–£65,000 base + equity (The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations)
33 days annual leave inclusive of bank holidays, with option to buy more.
Workplace pension scheme.
Workplace subscriptions covered.
Additional benefits expanding as we grow.
The Environment: We work 4 days a week from our office to maintain high-bandwidth collaboration and a sense of belonging, with flexibility for the circumstances life throws at you.

How we work

We look for shared strengths that make us better together.

Autonomy over process: The best outcomes come when people have the information and freedom to make decisions for themselves. We hire responsible people who thrive on ownership.
Creativity: We stay humble in search of the best ideas. We're curious about each other's thinking and challenge each other to get to the truth faster.
Resilience: We adapt quickly to changing circumstances and embrace hard challenges.
Craft: We care about the quality of the code, the design, and how the product lands for coaches and football clubs.
Curiosity: You learn rapidly and eagerly. You're as interested in other people's work as your own, and humble about what you don't yet know.
Candor: You give and receive feedback willingly. You're open about what's working and what isn't, and you share mistakes and learnings widely.

Note:

While it is not necessary, if you like to send a cover letter please send it to this email (stephen.cho@gameintuit.com).

Hiring Process

Application review: We review your application for role fit.
Screening interview (30 min): A short call to align on background, interests, and expectations.
AI technical challenge (1 week): You will complete two technical challenges related to the job.
Final interview: Interview with the founders.
Offer

Inclusion statement

We are an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

If you're excited by this problem but don't match every bullet point, apply anyway.

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