At a Glance
- Tasks: Lead technical delivery and innovate machine learning systems for sports entertainment.
- Company: Beyond Sports, a pioneer in transforming fan experiences through technology.
- Benefits: High impact role with hands-on innovation and constant learning opportunities.
- Other info: Fast-paced environment with a focus on creativity and technical ambition.
- Why this job: Shape the future of sports tech while collaborating with top industry partners.
- Qualifications: Experience in software engineering, ML systems, and leading engineering teams.
The predicted salary is between 63000 - 77000 £ per year.
Join Our Team as a Technical Delivery Lead at Beyond Sports. Are you excited about machine learning, technical leadership, and building the 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 leading technical teams, scaling machine learning systems, and staying hands‑on with engineering while shaping delivery strategy, this could be your next move.
What Your Day Will Look Like
As a Technical Delivery Lead, you’ll sit at the center of engineering execution, technical strategy, and machine learning innovation. Your role combines leadership with hands‑on development. You’ll guide engineering squads delivering complex AI-driven systems while contributing directly to architecture, Proof of Concepts, and high‑complexity technical challenges. You’ll work closely with Machine Learning Engineers, Tech Leads, Technical Architects, Product teams, and creatives to build intelligent systems that transform live sports data into immersive digital experiences. One day you might be shaping scalable ML pipelines for motion synthesis and trajectory prediction. The next, you could be prototyping cloud‑hosted inference services, reviewing technical approaches, or stepping into the codebase to unblock delivery. You’ll help teams apply cutting‑edge ML techniques, including Transformers, Graph Neural Networks, Diffusion models, and real‑time geometry pipelines, while ensuring solutions remain scalable, maintainable, and production‑ready. Because we believe leadership starts with technical credibility, you’ll stay hands‑on at your core. Around 60% of your time will involve active engineering work: building POCs, solving difficult technical problems, improving tooling, and supporting critical delivery initiatives. You’ll also help evolve engineering standards, delivery practices, and technical governance 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, artists, ML specialists, and creatives work together to build things that genuinely haven’t existed before. You’ll fit right in if you:
- Love applied machine learning and engineering leadership
- Enjoy turning ambitious ideas into scalable production systems
- Stay hands‑on technically and enjoy solving difficult problems
- Think in systems, architecture, and long‑term scalability
- Communicate complex technical ideas clearly
- Care deeply about quality, maintainability, and technical standards
- Stay curious about modern ML, cloud, and real‑time technologies
Your Background
You don’t need to tick every box, but we’re generally looking for:
- Strong experience in software engineering, technical delivery, or technical leadership
- Experience deploying ML systems into production, including serving, monitoring, and retraining
- Experience leading or mentoring engineering squads
- Hands‑on experience building and training deep learning models in PyTorch
- Familiarity with MLOps tooling such as MLflow and CI/CD workflows
- 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.
- Experience balancing leadership responsibilities with active development
- Strong stakeholder communication and delivery planning skills
Nice to Have (But Not Required)
- Strong understanding of scalable systems, APIs, and cloud‑native architectures
- Understanding of real‑time data systems or 3D graphics pipelines
- Experience with Unity or game engines
- Interest in football or other team sports
Why Level Up Your Career at Beyond Sports
Fast-moving, creative, and technically ambitious — that’s our world. High impact: Your work shapes how millions experience sports globally. Technical ownership: Influence architecture, delivery strategy, and engineering standards. Hands‑on innovation: Help build the future of our technology stack. Constant learning: From ML research to real‑time 3D systems, there’s always something new. Real collaboration: Engineers, artists, and product teams working side by side.
Ready to Build the Future of Sports?
If you’re excited about leading technical delivery while staying deeply involved in machine learning, real‑time systems, and scalable engineering — and want to help shape technology that changes how fans experience the game — we’d love to hear from you. At Beyond Sports, you won’t just deliver technical projects. You’ll help bring sports to life!
Technical Delivery Lead - Machine Learning in London employer: Beyond Sports
Beyond Sports is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for creative minds looking to make a significant impact in the sports industry. With opportunities for mentorship and professional growth, you'll be part of high-profile projects alongside renowned partners like NFL and Disney, all while enjoying the flexibility of freelance work. Join us to unleash your design potential in a supportive environment that values innovation and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Delivery Lead - Machine Learning in London
✨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 Technical Delivery Lead - Machine Learning in London
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.
