Machine Learning Engineer @ Employer

Team4Code Jobid=629358297407036395 (0.0497) Company description Are you a builder of intelligence who thrives at the intersection of data, experimentation, and innovation - where algorithms evolve into real-world impact? Searching for a Machine Learning Engineer who combines engineering precision with scientific curiosity - someone who can architect models that don't just work, but learn, adapt, and create value at scale. Your Role You'll be the engine behind intelligent systems - designing, building, and deploying ML pipelines that turn raw data into real outcomes. Working alongside top-tier data scientists, engineers, and domain experts, you'll bring models from concept to production with speed, rigour, and creativity. What You'll Do: Develop, train, and deploy machine learning models at scale using Python, TensorFlow, and PyTorch. Collaborate with data engineers to ensure robust feature pipelines and clean, reliable datasets. Key Responsibilities - Develop, train, and deploy machine learning models at scale using Python, TensorFlow, and PyTorch. - Collaborate with data engineers to ensure robust feature pipelines and clean, reliable datasets. - Optimise model performance, interpretability, and fairness across diverse applications. - Implement CI/CD for ML models, integrating with modern MLOps frameworks. - Continuously monitor models in production, retraining and improving accuracy over time. Required Skills & Experience Proven experience building and deploying machine learning models in production environments. Strong skills in Python, ML frameworks (TensorFlow/PyTorch), and data processing (Pandas, Spark). Understanding of software engineering best practices - testing, versioning, and CI/CD.