At a Glance
- Tasks: Shape machine learning architecture and lead innovative projects in sports entertainment.
- Company: Beyond Sports, a creative tech company transforming fan experiences.
- Benefits: 25 days paid leave, pension, gym card, free lunch, and team outings.
- Other info: Dynamic environment with constant learning and collaboration across diverse teams.
- Why this job: Make a real impact on how millions experience sports through cutting-edge 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
At Beyond Sports, we move fast, experiment boldly, and trust our people. We believe the best results happen when engineers, ML specialists, artists, and creatives work closely together to build things that genuinely haven’t existed before.
You’ll fit right in if you:
- 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
You don’t need to tick every box, but we’re generally looking for:
- 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 in London employer: Beyond Sports
At Beyond Sports, we pride ourselves on being a fast-moving and innovative employer that values creativity and technical ambition. Our collaborative work culture fosters constant learning and hands-on innovation, allowing you to influence the future of machine learning in 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 cutting-edge technology but also to be part of a team that celebrates success together with regular outings and fun office activities.
StudySmarter Expert Advice🤫
We think this is how you could land Software Architect - Machine Learning in London
✨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 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 soft 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 in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in machine learning and software architecture. We want to see how your skills align with our needs, so don’t hold back on showcasing relevant projects!
Show Your Passion:Let your enthusiasm for machine learning and sports shine through in your application. We love candidates who are genuinely excited about the work we do at Beyond Sports, so share why you’re passionate about this field!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your technical expertise and achievements are easy to understand, even for non-technical folks.
Apply Through Our Website:Don’t forget 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
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.
✨Showcase Your Technical Leadership
Prepare examples of how you've guided teams through complex technical challenges. Highlight your experience in creating Proof of Concepts and your ability to communicate technical solutions clearly to both technical and non-technical audiences.
✨Think Systems and Strategy
Be ready to discuss your approach to designing scalable architectures and implementing strategies. Think about how you balance innovation with maintainability and delivery requirements, and be prepared to share specific examples.
✨Demonstrate Collaboration Skills
Since collaboration is key at Beyond Sports, think of instances where you've worked closely with multidisciplinary teams. Be prepared to talk about how you’ve communicated technical approaches effectively across different roles.
