Machine Learning Engineer

Animo Group; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Animo Group is partnering with a cutting-edge sports tech company in London to hire an AI Engineer. The role focuses on building and deploying production-grade AI/ML models for real-time sports performance analysis.

You will collaborate with sport scientists, design robust inference pipelines, and manage end-to-end deployment from edge to cloud, ensuring robust, scalable and timely analytics.

Qualifications

• Proven algorithm development experience including image/video processing in production.
• Experience deploying ML models in real-world, high-stakes environments.
• Strong design skills for time-series data, optimization, and performance evaluation.
• Solid DevOps experience: CI/CD, containerisation (Docker) and cloud-based deployment.
• Strong Python skills with data processing libraries (Pandas, OpenCV).
• Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).
• Strong software engineering fundamentals: version control, testing, code review, documentation.
• Milestone of MSc or PhD in a related field.
• Experience in start-up or fast-paced, high-autonomy environments.

Responsibilities

• Design, develop, test & deploy production-ready AI/ML algorithms for sports analysis.
• Collaborate with sport scientists to translate motion into actionable models.
• Set up and maintain CI/CD pipelines for ML model delivery.
• Monitor models for performance drift and system health; implement alerts and retraining.
• Ensure real-time performance of deployed models and robust inference pipelines.
• Build scalable inference workflows across edge and cloud platforms.
• Own model deployment infra using AWS services and IaC tooling.

Skills

Image processing

Time-series data

ML deployment

DevOps

Python

Deep learning

CI/CD

Docker

OpenCV

Education

MSc or PhD in related field

Tools

PyTorch

TensorFlow

AWS

Pandas

OpenCV

Job description

Location - London

Hybrid Working – 3 days per week in London

About

We have partnered with a ground-breaking, award-winning technology company building the future of sports talent identification and development. Our partner builds AI-driven tools that generate and analyse sports data, helping clubs, national federations and players unlock real-time analysis and valuable insights. Their technology is already in production and used at the very top of the game, including at global sporting events, and they are now looking for a talented AI Engineer to join a small, fast-moving team and help build the technology of tomorrow.

The Role

• Design, develop, test & deploy production-ready algorithms for sports performance analysis.
• Collaborate closely with sport scientists to translate motion and biomechanics into actionable AI/ML models.
• Set up and maintain CI/CD pipelines for ML model delivery, ensuring reliable, repeatable deployments
• Monitor deployed models for performance degradation, data drift, and system health; implement automated alerting and retraining triggers.
• Ensure high accuracy, robustness, and real-time performance of deployed models.
• Build and optimise inference pipelines that support large-scale video processing across edge and cloud platforms.
• Own model deployment infrastructure using AWS services (ECR, Lambda, S3 or equivalent) and infrastructure-as-code tooling

What You'll Need

• Proven experience in algorithm development, including image and video processing in production.
• Experience in developing and deploying ML models in real-world, high-stakes production environments
• Strong algorithm design skills, comfortable working with time-series data, optimisation problems and performance evaluation techniques
• Solid DevOps experience, CI/CD, containerisation (e.g. Docker) and cloud-based model deployment (MLOps).
• Strong Python skills with data processing and analysis libraries (e.g. Pandas, OpenCV).
• Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow).
• Strong grasp of software engineering fundamentals: version control, testing, code review, and documentation
• MSc or PhD in a related field.
• Experience working in a start-up or fast-paced, high-autonomy environment.