
Software Architect - Machine Learning
Beyond Sports4 months ago
London, United KingdomStaff+
Responsibilities
- Shape the architecture, technical direction, and implementation strategy for ML-driven products and platforms.
- Design and guide scalable solutions for trajectory prediction, motion synthesis, real-time data processing, 2D-to-3D geometry pipelines, and cloud-hosted ML services.
- Build proof of concepts, evaluate technical approaches, review model deployment strategies, and resolve architecture and integration challenges.
- Support Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects with hands-on technical leadership.
- Ensure solutions are scalable, reusable, maintainable, and aligned with engineering standards.
Requirements
- Strong experience in machine learning engineering, software architecture, or technical leadership.
- Deep expertise in ML systems, data pipelines, backend engineering, or cloud infrastructure.
- Experience deploying ML systems to production, including serving, monitoring, and retraining.
- Familiarity with MLflow, model monitoring, and related MLOps workflows.
- Experience with AWS, Azure, or GCP.
- Experience with sequence models such as transformers or RNNs, or generative models such as diffusion, flow, or GANs.
- Hands-on experience building and training deep-learning models in PyTorch.
- Strong understanding of scalable APIs, cloud-native systems, and modern engineering practices.
- Experience creating proof of concepts and evaluating technical approaches.
- Clear communication skills with technical and non-technical audiences and experience collaborating across multidisciplinary teams.
- Nice-to-have experience includes real-time systems, motion synthesis, 3D graphics pipelines, Unity or other game engines, and sports-related interests.
Benefits
- 25 days of paid leave per year.
- Pension program.
- Lunch included.
- Gym card for the Alkmaar location only.
- Fresh fruit, coffee, Friday drinks, and bi-monthly team outings.
- Office games and Sony benefits.
- The posting describes an office-based arrangement but does not specify a formal remote or hybrid policy.