Lead ML Engineering at Track Titan, shaping AI coaching for motorsport with hands-on development in London or remote. Focus on building ML capabilities from a unique dataset.
Responsibilities
Build and lead Track Titan's ML capability at a pivotal moment for AI direction
Build the telemetry understanding layer and train models from racing telemetry
Evolve coaching intelligence and introduce new approaches to problems
Set the ML technical direction and establish reliable ML practices
Lead and grow the ML team raising the bar on code quality and technical development
Ship models that reach users balancing long-term work with near-term product impact
Requirements
5+ years of hands-on ML engineering experience
Meaningful time spent on self-supervised learning, representation learning, or sequence modelling
Experience with modern sequence modelling, especially transformers on sequential data
Strong embedding and retrieval intuitions
Production ML experience
Technical leadership experience or readiness for it
A cross-domain thinker
Excellent written communicator
Motorsport passion or experience is a strong plus
A research background (PhD or equivalent depth) is valued but not required
Machine Learning Engineer creating and maintaining ML models for intelligent automation and forecasting at Create Music Group. Collaborating with multiple teams to implement AI - driven solutions.
Director of ML Engineering at Cotality overseeing scaling of ML teams and enhancing Automated Valuation Models. Leading MLOps adoption and driving data strategy within the company.
AI Engineer developing cutting - edge AI models and frameworks in a hybrid setup at a tech startup. Collaborating closely with founders to shape the future of AI technology.
Senior Machine Learning Engineer developing and optimizing computer vision models for enterprise AI solutions at ABBYY. Leading projects and collaborating across teams to drive innovation in machine learning technology.
Machine Learning Engineer at Junglee Games focusing on data science, Applied ML, and model production. Leverage expertise in Python, SQL, and PySpark for innovative gaming solutions.
Lead Software Engineer focusing on Machine Learning for innovative AI projects in clean energy. Spearheading technical direction and delivery while mentoring teams and managing high - risk projects.
Senior MLOps Engineer leading development and deployment of cutting - edge AI systems in Defence sector. Collaborating with diverse clients and mentoring junior engineers in robust ML environments.
AI/ML Engineer focusing on machine learning applications in oncology. Developing analytical solutions to enhance patient selection and drive next - generation assets in healthcare.
Software Development Engineer for building scalable AI platforms at Workday. Focus on agentic AI capabilities and collaborate with senior engineers and ML researchers.
Machine Learning / AI Engineering Intern at Teradyne developing AI - driven software systems and collaborating on intelligent automation projects. Focus on applied AI initiatives and real - world engineering challenges.