Machine Learning Expert

Machine Learning Engineer About Us Our products help to improve fan engagement, officiating acceptance, and drive commercial performance for sports leagues and federations. We use cutting-edge technology to do a variety of amazing things with cameras and other data sources (all in real-time on site or in the cloud), including: Tracking the 3D position of vehicles in elite motorsport (e.G. Providing the platform for sports federations to make critical officiating decisions using video and tracking data We have a commitment to diversity and inclusion across race, gender, age, religion, and identity. We are searching for motivated, driven and proactive individuals, who will own a ML-based project, or research block to design, train and integrate a new machine learning model. The role will involve working closely with ML, software engineering and operations teams to ensure the models are well designed, integrated and utilised in our products. Model Development, Implementation and Deployment: Develop and implement state-of-the-art models for computer vision problems including object detection, key-point estimation, segmentation; using Python, PyTorch, Ignite, OpenCV, AWS Research, prototype, and implement state-of-the-art machine learning algorithms Design and implement custom loss functions, evaluation metrics, and training procedures Evaluate model performance Drive innovation initiatives and proof-of-concept projects Export models to ONNX and deploy and integrate them into our C++ environment using TensorRT Build and maintain machine learning infrastructure and deployment pipelines Implement model monitoring and performance tracking systems Establish monitoring, alerting, and automated retraining systems for production models Establish monitoring, alerting, and automated retraining systems for production models Optimize data workflows for performance and cost efficiency Implement data and augmentation pipelines for training Perform exploratory data analysis to identify patterns and insights Ensure data quality and integrity throughout the machine learning life-cycle Stay up-to-date with the latest developments in AI, model architecture and infrastructure 2-5 years of professional experience in machine learning engineering or related roles ~ Proven track record of deploying machine learning models to production environments ~ Experience leading technical projects and managing timelines ~ Experience with end-to-end ML project life-cycle from research to deployment ~ Self starter with initiative and the ability to pick up and develop projects independently ~ Experience with A/B testing and experimental design ~ Excellence with Python Proficiency with data processing tools (Pandas, NumPy) Experience using machine learning frameworks like PyTorch or TensorFlow Familiarity with cloud platforms and their ML services Mentorship from senior machine learning engineers and data scientists Clear career progression paths within the ML engineering discipline If you are looking for a company where you will be challenged, valued and respected, with great compensation in a team that doesn’t play politics then this is the role for you Competitive salary, depending on experience and skill set Bonus scheme Flexible hours and choice of working remotely The option to travel to sporting events around the world Having started during the Covid-19 pandemic, the majority of us work remotely from home. We also have an office in London and Winchester for those that prefer office working.