Senior Machine Learning Engineer

Senior Machine Learning Engineer (Reinforcement Learning) Join us to apply for the Senior Machine Learning Engineer (Reinforcement Learning) role at Datatonic. Shape the Future of AI & Data with Us: At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future‑prove their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As a reinforcement‑learning focused Senior Machine Learning Engineer, you’ll engineer beautiful code in Python, advocate high‑quality engineering and best‑practice in production software, and rapidly prototype. Though the role is hands‑on, we value candidates who can lead projects, drive client discussions, build trusted relationships, scope projects, and oversee the delivery of engagements. To be successful, you should have strong ML & data science fundamentals with a focus on implementing RL in real‑world applications. You’ll know the right tools and approach for an RL or ML use case, be comfortable with model optimisation, deployment tools and practices, and have excellent communication and consulting skills. What You’ll Do Develop solutions with reinforcement learning at a large scale. Design and deploy RL solutions from data selection, model training, to productionisation. Translate requirements: interpret vague requirements and develop models to solve real‑world problems. Conduct ML experiments using standard programming languages and libraries. Optimise ML/RL solutions for performance and scalability. Implement tailored ML/RL code to meet specific needs. Design RL architecture using Google Cloud tools and services. Bonus Ensure efficient data flow between databases and backend systems. Bonus Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. Bonus Build and deploy production‑grade software for machine learning and data‑driven solutions. What You’ll Bring Multiple years of experience as a Machine Learning Engineer using reinforcement learning. Prior work designing and implementing RL algorithms on real‑world projects (using non‑dummy data). Experience with data requirements for RL algorithms (quantity, type and schemas). A strong understanding of the training procedure and timelines for RL. Experience selecting and adapting existing RL models for novel solutions (e.g., SAC, DQN, PPO). Familiarity with developing RL algorithms using open‑source ML libraries (preferably python‑based such as PyTorch or TensorFlow). Ideally, experience with distributed RL libraries (e.g., Ray RLLib). Experience with RL in conjunction with a computer vision application or using computer vision data. Proficiency in Python as a backend language, capable of delivering production‑ready code in well‑tested CI/CD pipelines. Bonus Points If You Have Cloud expertise: familiarity with cloud platforms such as Google Cloud, AWS, or Azure. Software engineering: hands‑on experience with foundational software engineering practices. ML integration: familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python). Soft skills: strong communication and presentation skills to effectively convey technical concepts. Scale‑up experience. Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.). What’s in It for You 20 days of paid vacation per calendar year Public holidays for your province of residence 5 wellness days (sickness, personal time, mental health) 5 lifestyle days (religious events, volunteer day, sick day) Matching group retirement savings plan after 3 months Competitive group insurance plan on day 1 – individual premium paid 100 % Virtual medicine and family assistance program – 100 % employer‑paid Home office budget – we are 100 % remoteCAD $70 /month for internet/phone expenses CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on day 1 Company‑supplied MacBook Pro or Air CAD $400 /year for books, relevant app subscriptions or an e‑reader Opportunities for paid certifications Opportunities for professional and personal learning through Udemy Business Regular company off‑sites and meetups Why Datatonic Datatonic is a UK‑based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada. Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged – it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you Are you ready to make an impact? Apply now and take your career to the next level. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Datatonic by 2x Get notified about new Machine Learning Engineer jobs in Canada. #J-18808-Ljbffr