Machine Learning Engineer - Sports AI

Join Hawk-Eye Innovations as a Machine Learning Engineer in the R&D team, defining the future of sports analytics. You'll integrate cutting-edge ML features into HawkAI products, run models on live data, design algorithms for actionable insights, and deploy scalable cloud-based systems. This role involves developing CI/CD pipelines, collaborating with product and data teams, and streamlining ML operations, focusing on real-time performance and deep learning methods.

Must Have

• Integrating cutting-edge ML features into HawkAI analysis products
• Running ML models on live streams of tracking data
• Designing algorithms to turn ML outputs into actionable insights
• Helping to develop and deploy machine learning models with a focus on real-time performance
• Building cloud and containerised systems for deployment at scale
• Developing CI/CD and production pipelines to maintain robust software practices
• Collaborating with product managers and engineers
• Working with data teams to collect, store, and curate training data
• Streamlining ML operations and performance pipelines
• Python programming fundamentals
• PyTorch
• Linux & Windows 10 development experience
• GIT, GitHub and collaborative software development

Good to Have

• AWS (S3, SageMaker, Lambdas)
• MLOps, CI/CD processes
• Docker and containerised deployments
• PyTorch-Ignite
• TypeScript & Semantic UI React
• JIRA & Confluence
• ClearML

Perks & Benefits

• Openness
• Collaboration
• Technical excellence
• Autonomy & Accountability
• Mentorship & Leadership
• Pragmatism
• Continuous Learning
• Inclusive and diverse workplace

Hi, I’m Lachlan, Technology Lead for the HawkAI team. I’m excited to invite you to apply for the Machine Learning Engineer position in our R&D team. If you're passionate about defining the future of sports analytics, this could be the ideal role for you.

As a Machine Learning Engineer, you'll be at the heart of our development lifecycle. You’ll work closely with product managers, data stakeholders, and engineers across Data and Machine Learning Teams.

What Your Week Could Look Like:

A typical week might include:

• Integrating cutting-edge ML features into HawkAI analysis products
• Running ML models on live streams of tracking data
• Designing algorithms to turn ML outputs into actionable insights
• Helping to develop and deploy machine learning models with a focus on real-time performance
• Building cloud and containerised systems for deployment at scale
• Developing CI/CD and production pipelines to maintain robust software practices
• Collaborating with product managers and engineers
• Working with data teams to collect, store, and curate training data
• Streamlining ML operations and performance pipelines

If you're passionate about defining the future of sports analytics and excited to work with cutting-edge deep learning methods, this could be the ideal role for you. And then integrating deep learning models into HawkAI Analysis Products

Tech Stack and Skill Requirements:

Required:

• Python programming fundamentals
• PyTorch
• Linux & Windows 10 development experience
• GIT, GitHub and collaborative software development

Nice-to-Haves:

• AWS (S3, SageMaker, Lambdas)
• MLOps, CI/CD processes
• Docker and containerised deployments
• PyTorch-Ignite
• TypeScript & Semantic UI React

Bonus Skills:

• JIRA & Confluence
• ClearML

What We Value:

At Hawk-Eye, our culture is built on openness, collaboration, and technical excellence. Here’s what we value in our team members:

• Autonomy & Accountability – We trust our engineers to own their work and deliver impact
• Mentorship & Leadership – As a senior team member, you’ll lead by example and uplift others
• Pragmatism – We’re creative and experimental, but always grounded in real-world application
• Continuous Learning – From peer code reviews to hack days and conferences, we never stop growing
• Collaboration – We work cross-functionally and communicate with transparency and empathy

Equal Opportunity Employer:

Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership status. We value diversity and strive to create an environment where everyone can reach their full potential.

Apply Today!

This is a fantastic opportunity to join and make a significant impact in the sports technology industry. If you’re excited about solving complex ML problems in real-time and seeing your work on the world’s biggest sporting stages, we’d love to hear from you!

Apply for this Job

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