At a Glance
- Tasks: Shape machine learning architecture and lead technical solutions for real-time sports experiences.
- Company: Beyond Sports, a leader in innovative sports entertainment technology.
- Benefits: 25 days paid leave, pension, gym card, and fun team outings.
- Other info: Collaborative environment with constant learning and hands-on innovation.
- Why this job: Make a global impact on how millions experience sports through cutting-edge technology.
- Qualifications: Strong background in machine learning, software architecture, and technical leadership.
The predicted salary is between 70000 - 90000 £ per year.
Join Our Team as a Team Architect (Machine Learning Focus) at Beyond Sports. Are you excited about machine learning, technical architecture, and building the intelligent 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 machine learning architecture, scalable technical solutions, and guiding engineering teams through complex technical challenges, this could be your next move.
What Your Day Will Look Like
As a Team Architect (Machine Learning Focus), you’ll act as the specialist technical authority within your discipline — helping shape the architecture, technical direction, and implementation strategy behind our ML‑driven products and platforms. You’ll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent systems that transform live sports data into immersive digital experiences. Your role combines strategic thinking with hands‑on technical leadership.
One day you might be evaluating approaches for scalable inference pipelines or motion synthesis systems. The next, you could be building Proof of Concepts, reviewing model deployment strategies, or helping squads solve complex architecture and integration challenges. You’ll guide technical implementation across areas such as trajectory prediction, motion synthesis, real‑time data processing, 2D‑to‑3D geometry pipelines, and cloud‑hosted ML services. You’ll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business.
What We Value
- Love applied machine learning and technical architecture.
- Think in systems and implementation strategy.
- Stay hands‑on technically.
- Collaborate naturally.
- Care about quality and reusability.
- Stay curious.
Your Background
- Strong experience in machine learning engineering, software architecture, or technical leadership.
- Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure.
- Hands‑on experience with PyTorch, TensorFlow, or similar ML frameworks.
- Strong understanding of scalable APIs, cloud‑native systems, and modern engineering practices.
- Experience creating Proof of Concepts and evaluating technical approaches.
- Ability to communicate technical solutions clearly to technical and non‑technical audiences.
- Experience collaborating across multidisciplinary engineering teams.
- Willingness to work on‑site in our Alkmaar office.
Nice to Have (But Not Required)
- Experience deploying ML models into production environments.
- Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring.
- Experience with AWS, Azure, or GCP.
- Understanding of real‑time systems, motion synthesis, or 3D graphics pipelines.
- Experience with Unity or other game engines.
- Interest in football or team sports.
Why Level Up Your Career at Beyond Sports
- High impact: Your work helps shape how millions experience sports globally.
- Technical ownership: Influence implementation strategy, architecture, and engineering standards.
- Hands‑on innovation: Build POCs and help define the future of our ML systems.
- Constant learning: From machine learning research to real‑time 3D systems, there’s always something new.
- Real collaboration: Engineers, artists, ML specialists, and product teams working side by side.
And we make sure it’s a great place to work:
- 25 days of paid leave per year.
- Pension program.
- Lunch included.
- Gym card - Alkmaar Only.
- Fresh fruit, great coffee, and Friday drinks.
- Bi‑monthly team outings.
- Office games like FIFA, chess, and ping‑pong.
- Sony Benefits and much more!
Ready to Build the Future of Sports? If you’re excited about shaping machine learning architecture, solving complex technical challenges, and building systems that transform how fans experience sports — we’d love to hear from you. At Beyond Sports, you won’t just design technical solutions. You’ll help bring sports to life.
Senior ML Systems Architect — Real-Time Sports employer: Beyond Sports
At Beyond Sports, we pride ourselves on being a fast-moving and creative employer that values technical ambition and innovation. Our collaborative work culture fosters constant learning and hands-on involvement, allowing you to shape the future of sports entertainment while enjoying benefits like 25 days of paid leave, a pension program, and team outings. Located in Alkmaar, our office is not just a workplace; it's a vibrant environment where engineers, artists, and product teams come together to redefine how millions experience sports.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Systems Architect — Real-Time Sports
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and technical architecture. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Beyond Sports.
We think you need these skills to ace Senior ML Systems Architect — Real-Time Sports
Some tips for your application 🫡
Show Your Passion for Machine Learning:Let us see your enthusiasm for machine learning and technical architecture right from the start. Share specific projects or experiences that highlight your love for applied ML and how you've tackled complex challenges in the past.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure to communicate your technical skills and experiences without jargon overload. Remember, we want to understand your journey and what you can bring to our team!
Tailor Your Application:Make your application stand out by tailoring it to the role. Highlight relevant experiences that align with our focus on scalable systems and real-time data processing. Show us how your background fits into the exciting work we do at Beyond Sports.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Beyond Sports
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of PyTorch, TensorFlow, and any other relevant ML frameworks. Be ready to discuss how you've used these tools in past projects, especially in relation to scalable systems and real-time data processing.
✨Showcase Your Technical Leadership
Prepare examples that highlight your experience in guiding engineering teams through complex challenges. Think about specific instances where you influenced architecture decisions or helped implement innovative solutions, and be ready to share these stories.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This is crucial for the role, so consider how you would describe your past projects to someone without a technical background.
✨Stay Curious and Informed
Demonstrate your passion for machine learning and technical architecture by discussing recent developments in the field. Bring up any interesting articles, research, or trends you've been following, especially those related to real-time systems and cloud infrastructure.
