At a Glance
- Tasks: Shape the future of sports with innovative machine learning architecture and technical leadership.
- Company: Join Beyond Sports, a leader in real-time sports data and AI-driven storytelling.
- Benefits: Enjoy 25 days paid leave, pension, gym access, and fun team outings.
- Other info: Collaborative environment with opportunities for 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 required.
The predicted salary is between 80000 - 100000 £ 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.
Senior ML Systems Architect — Real-Time Sports in London employer: Beyond Sports
Beyond Sports is an exceptional employer that fosters a dynamic and innovative work culture in Basingstoke, UK. With a strong emphasis on employee growth and development, we offer opportunities to lead cutting-edge projects while collaborating with industry leaders in media and entertainment. Join us to not only advance your career but also to make a meaningful impact in the world of sports technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Systems Architect — Real-Time Sports 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 projects, especially those related to machine learning and architecture. This is your chance to demonstrate your hands-on experience and technical prowess.
✨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
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 in London
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 building intelligent systems that can transform sports experiences!
Be Clear and Concise:Make sure your application is easy to read and straight to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we’re looking for someone who can communicate complex ideas simply!
Highlight Relevant Experience:Don’t forget to showcase your hands-on experience with ML frameworks like PyTorch or TensorFlow. We want to know about your past projects and how they relate to the role, so make those details pop in your application!
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 don’t miss out on any important updates from our team!
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 your hands-on experience with these tools and how you've used them in past projects.
✨Showcase Your Architectural Skills
Prepare to talk about your experience in designing scalable systems and implementing complex architectures. Think of specific examples where you’ve turned technical challenges into practical solutions, as this will demonstrate your strategic thinking.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This is crucial for collaboration across teams, so be ready to showcase your ability to bridge the gap between technical and non-technical audiences.
✨Stay Curious and Updated
Keep yourself informed about the latest developments in machine learning and cloud infrastructure. Being able to discuss recent trends or innovations will show your passion for the field and your commitment to continuous learning.
