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: Competitive salary, 25 days leave, gym access, and team outings.
- Other info: Collaborative environment with constant learning and hands-on innovation.
- Why this job: Make a real impact on how millions experience sports globally.
- Qualifications: Experience in machine learning, software architecture, and technical leadership.
The predicted salary is between 61860 - 83190 £ 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 You enjoy prototyping, validating ideas through code, and supporting engineers with difficult technical challenges.
- Collaborate naturally
- You can communicate technical approaches clearly across disciplines and with non-technical stakeholders.
- Care about quality and reusability
- You value maintainable systems, reusable tooling, and strong engineering standards.
- Stay curious
- You actively follow developments in machine learning, cloud infrastructure, and modern engineering practices.
- 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
- Experience deploying ML systems into production, including serving, monitoring, and retraining
- Familiarity with MLOps tooling such as MLflow, CI/CD workflows, and model monitoring
- Experience with AWS, Azure, or GCP
- Experience with sequence models (e. g. transformers, RNNs) or generative models (e. g. diffusion, flow, or GANs) — applied to any domain; experience with spatiotemporal, time-series, or motion/trajectory data is a strong plus.
- Hands-on experience building and training deep learning models in Py Torch
- 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
- 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.
Compensation Range: £61,860 - £83,190
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Software Architect - Machine Learning in Basingstoke 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 Software Architect - Machine Learning in Basingstoke
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Beyond Sports or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Beyond Sports.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Beyond Sports.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Beyond Sports that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Architect - Machine Learning in Basingstoke
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Beyond Sports.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Beyond Sports and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Beyond Sports
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Beyond Sports uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
