At a Glance
- Tasks: Design and implement machine learning systems that revolutionise sports experiences.
- Company: Beyond Sports, a leader in sports entertainment technology.
- Benefits: 25 days paid leave, pension, gym membership, and team outings.
- Other info: Collaborative environment with opportunities for constant learning and growth.
- Why this job: Shape the future of sports with cutting-edge machine learning and innovative technology.
- Qualifications: Experience in machine learning, software architecture, and strong technical leadership skills.
The predicted salary is between 60000 - 80000 £ 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
- Fast‑moving, creative, and technically ambitious — that’s our world.
- 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.
Software Architect - Machine Learning 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 growth, allowing you to influence the future of sports entertainment while enjoying benefits like 25 days of paid leave, a pension program, and a vibrant office environment in Alkmaar. Join us to not only shape machine learning architecture but also to be part of a team that redefines how millions experience sports globally.
StudySmarter Expert Advice🤫
We think this is how you could land Software Architect - Machine Learning
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that highlight your architectural prowess. This will give potential employers a taste of what you can bring to the table.
✨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 Software Architect - Machine Learning
Some tips for your application 🫡
Show Your Passion for Machine Learning:When writing your application, let your enthusiasm for machine learning and technical architecture shine through. We want to see how excited you are about shaping the future of sports entertainment with innovative solutions!
Be Clear and Concise:Make sure your application is easy to read and straight to the point. Use clear language to explain your experience and how it aligns with the role. We appreciate a well-structured application that highlights your skills without unnecessary fluff.
Highlight Relevant Experience:Don’t forget to showcase your hands-on experience with ML frameworks like PyTorch or TensorFlow. We’re looking for candidates who can demonstrate their technical expertise and how it relates to the challenges we face in our projects.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Beyond Sports
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts and frameworks like PyTorch and TensorFlow. Be ready to discuss how you've applied these in real-world scenarios, especially in building scalable systems or deploying models.
✨Show Off Your Architectural Skills
Prepare to talk about your experience with software architecture. Think of specific examples where you designed systems or solved complex technical challenges. Highlight your ability to balance innovation with maintainability and scalability.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This is crucial since you'll be collaborating with diverse teams. Use analogies or simple terms to make your points clear.
✨Be Hands-On and Curious
Demonstrate your hands-on experience by discussing any Proof of Concepts you've built or technical challenges you've tackled. Show your enthusiasm for staying updated on the latest trends in machine learning and cloud infrastructure.
