Senior Computer Vision Engineer Six Floor Solutions

Hiire is currently supporting Six Floor in hiring a Senior CV Engineer!!

Six Floor Solutions builds technology that lets sports and news organisations unlock the full value of their video. Our platform uses computer vision and machine learning to process live or archived streams automatically detecting key moments generating highlights and producing broadcast-ready content with no dependency on external data feeds. We work with global broadcasters professional clubs and federations across football tennis American football basketball and more. We are growth-stage our client list is expanding fast and the product roadmap demands a stronger more capable CV/ML team to match.

This is a senior individual-contributor and team leadership position combined. You will own the full CV and ML pipeline from research through to production while also building and growing the team around you. Over the next year that team will expand and you will be central to hiring shaping and developing it. The product lives and dies on the quality of our models. Continuous development retraining and refinement of our ML systems is not a maintenance task here it is a core driver of how the product evolves and how we stay ahead.

Research design and ship production-grade algorithms for real-time video understanding detection tracking classification segmentation that work reliably across sports and broadcast conditions.

Drive the continuous development and improvement of our ML models: evaluation gap analysis retraining and fine-tuning. Model quality is a product priority not a backlog item.

Write high-performance maintainable code in C (production) and Python (R&D) to a standard the whole team can build on.

Collaborate with backend and product teams to ensure the vision pipeline integrates cleanly into the broader platform.

Team Leadership

Lead and mentor a growing CV/ML team setting technical direction reviewing code and raising the bar for delivery quality.

Play an active role in hiring: defining roles assessing candidates and building a team capable of scaling with the product.

Create a culture of rigour and curiosity where research informs engineering and engineers care about outcomes.

6 years of hands-on experience building and shipping computer vision and/or machine learning systems in production.

Strong proficiency in C (production) and Python (R&D) with solid engineering practices: version control CI/CD testing.

Deep expertise in OpenCV and at least one major deep learning framework PyTorch or TensorFlow.

Strong fundamentals in algorithms linear algebra probability and optimisation you reason from first principles.

Experience leading or mentoring engineers with a track record of raising team output and quality.

Familiarity with Linux FFmpeg and/or GStreamer for video pipeline work.

A Masters degree or equivalent depth in Computer Science Electrical Engineering or a related CV/ML field.

Nice to have

Experience with real-time or low-latency video at scale.

Background in sports video broadcast or sports analytics.

Hard unsolved problems real-time CV and ML at scale across multiple sports and camera environments.

Direct impact: your models will power content seen by fans of the worlds biggest sports properties.

Competitive experience-based compensation flexible for the right person.

A learning culture: conferences courses and personal development are built into how we work.

Flexible hours a collaborative hybrid setup and a tight-knit team in Lisbon that takes the work seriously without taking itself too seriously.

Sound like you

Send us your CV and a brief note on a CV or ML problem you are proud of having solved

what the challenge was how you approached it and what shipped. We welcome

applications from candidates who do not tick every box but can demonstrate real depth and

ownership.