Sr. Machine Learning Engineer (Remote, Contract) [HR216] (PK)
About this role
About Smart Working At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity — it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world. About the Role We are seeking a Senior ML Engineer with strong experience in Applied AI, Machine Learning and MLOps to build and modernise an AI platform. The role combines Applied AI, MLOps and backend/platform engineering, with a strong focus on productionising, deploying, evaluating and operating ML/AI systems. You will build new ML capabilities, modernise existing NLP and generative AI systems, and create reliable, observable infrastructure that makes models easier to integrate, evaluate, monitor and deploy.
About Smart Working
Smart Working is a remote-first talent platform that connects skilled professionals with outstanding global teams and products for full-time, long-term roles. The company's mission is to break down geographic barriers and help people discover meaningful work with teams that invest in their success. Smart Working operates as a marketplace for remote employment opportunities, focusing on matching experienced engineers and technical professionals with venture capital-backed startups and established companies. The platform is recognized as one of the highest-rated workplaces on Glassdoor, with a particular emphasis on supporting remote careers for professionals in India and connecting them with UK-based and global teams.