Technical Delivery Lead - Machine Learning

• Strong understanding of scalable systems, APIs, and cloud-native architectures

• Understanding of real-time data systems or 3D graphics pipelines

• Experience with Unity or game engines

• Interest in football or other team sports

Are you excited about machine learning, technical leadership, and building the systems powering the future of sports entertainment?

At Beyond Sports, we don’t just visualize sports, we reinvent how fans experience them. Together with partners like NFL, NHL, FIFA, and Disney, we push the boundaries of real-time sports data, 3D graphics, and AI-driven storytelling.

If you’re passionate about leading technical teams, scaling machine learning systems, and staying hands-on with engineering while shaping delivery strategy, this could be your next move.

As a Technical Delivery Lead, you’ll sit at the center of engineering execution, technical strategy, and machine learning innovation.

Your role combines leadership with hands-on development. You’ll guide engineering squads delivering complex AI-driven systems while contributing directly to architecture, Proof of Concepts, and high-complexity technical challenges.

You’ll work closely with Machine Learning Engineers, Tech Leads, Technical Architects, Product teams, and creatives to build intelligent systems that transform live sports data into immersive digital experiences.

One day you might be shaping scalable ML pipelines for motion synthesis and trajectory prediction. The next, you could be prototyping cloud-hosted inference services, reviewing technical approaches, or stepping into the codebase to unblock delivery.

You’ll help teams apply cutting-edge ML techniques, including Transformers, Graph Neural Networks, Diffusion models, and real-time geometry pipelines, while ensuring solutions remain scalable, maintainable, and production-ready.

Because we believe leadership starts with technical credibility, you’ll stay hands-on at your core. Around 60% of your time will involve active engineering work: building POCs, solving difficult technical problems, improving tooling, and supporting critical delivery initiatives.

You’ll also help evolve engineering standards, delivery practices, and technical governance across the business.