Machine Learning Engineer
Role details
Job location
Tech stack
Job description
Direct message the job poster from Harnham ? Machine Learning Engineer (Mid-Level) - Remote ? Gaming Start-Up | Full-Time | Anywhere Are you excited by the intersection of AI and gaming? Do you want to help shape the future of interactive entertainment at a fast-moving start-up? We're looking for a Mid-Level Machine Learning Engineer to join our fully remote team and help us build intelligent, player-centric systems that power the next generation of gaming experiences. About Them They are an ambitious gaming start-up building innovative, data-driven gameplay systems. Our mission is to create games that feel alive-powered by adaptive AI, real-time insights, and scalable cloud technologies. As a small and collaborative team, every voice matters and every engineer has a direct impact on the product. What You'll Do * Design, build, and deploy ML models for gameplay, personalization, prediction, and player behavior analysis * Collaborate with game designers, backend engineers, and
Requirements
data teams to integrate ML into live game systems * Work with real-time and batch data to support analytics and in-game decision systems * Maintain and improve MLOps workflows for training, evaluation, deployment, and monitoring * Contribute to a culture of experimentation, rapid iteration, and creative problem-solving What They're Looking For Required: * 2-4+ years of experience in Machine Learning or Data Science engineering roles * Strong programming skills in Python * Hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Cloud Storage, etc.) * Experience building and deploying ML models in production * Familiarity with modern ML frameworks (TensorFlow, PyTorch, scikit-learn) * Understanding of data processing, pipelines, and MLOps best practices * Ability to work independently in a remote environment and collaborate asynchronously Nice to Have: * Experience working in gaming or interactive media * Knowledge of reinforcement learning, player modeling, or
Benefits & conditions
recommendation systems * Experience with real-time systems or streaming data (e.g., Pub/Sub, Kafka) * Passion for games and gameplay design Why You'll Love Working With Them * Fully remote team - work from anywhere * A chance to be an early team member in a rapidly growing gaming start-up * High ownership, high impact, and opportunities to shape the direction of ML in our products * Flexible hours, supportive culture, and a team that values creativity and innovation * Competitive salary + equity package #J-18808-Ljbffr