Machine Learning Engineer Data Science

We help companies to increase profitability and simplify the complex with accurate, AI-powered insights, real-time performance monitoring, agreement optimization, and simplified rebate management. We’re hiring a Senior Machine Learning Engineer to join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you’ll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions—such as retrieval-augmented generation (RAG) systems, multi-agent architectures, and AI agent workflows —into production. As a Senior Machine Learning Engineer, you’ll play a key role in developing and integrating cutting-edge AI solutions—including LLMs and AI agents —into our products and operations at a leading SaaS company. You’ll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries of AI in rebate management. Design, build, and deploy RAG systems, including multi-agent and AI agent-based architectures for production use cases. Contribute to model development processes including fine-tuning, parameter-efficient training (e.G., Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack—from data preparation and model training to serving and observability—either independently or in collaboration with other specialists. Collaborate with MLOps, DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents, and evaluate their practical applicability. 5+ years of experience in machine learning engineering, applied AI, or related fields. ~ Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a related technical discipline. ~ Strong foundation in machine learning and data science fundamentals —including supervised/unsupervised learning, evaluation metrics, data preprocessing, and feature engineering. ~ Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments. ~ Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow. ~ Hands-on experience with fine-tuning and distillation of large language models. ~ Experience with monitoring and maintaining ML systems in production, using tools like MLflow, Weights & Biases, or similar. ~ Strong communication skills and ability to work across disciplines with ML scientists, engineers, and stakeholders. PhD in Computer Science, Machine Learning, Engineering, or a related technical discipline. Experience with multi-agent RAG systems or AI agents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering and building evaluation pipelines for generative models. Exposure to Snowflake or similar cloud data platforms. Broader data science experience, including forecasting, recommendation systems, or optimization models. Experience with streaming data pipelines, real-time inference, and distributed ML infrastructure. Contributions to open-source ML projects or research in applied AI/LLMs. Certifications in Azure, AWS, or GCP related to ML or data engineering. Once hired this person will have the job title Senior Machine Learning Engineer At Enable, we’re committed to your professional development and growth. Salary/TCC is just one component of Enable’s total rewards package. Paid Time Off: Ample days off + 8 bank holidays Private Health Insurance: Health and life coverage for you and your family Electric Vehicle Scheme: Lucrative Bonus Plan: Enjoy a rewarding bonus structure subject to company or individual performance Benefit from our equity program with additional options tied to tenure and performance Career Growth: Explore new opportunities with our internal mobility program Training: Access a range of workshops and courses designed to boost your professional growth and take your career to new heights According to LinkedIn's Gender Insights Report, women apply for 20% fewer jobs than men, despite similar job search behaviors. At Enable, we’re committed to closing this gap by encouraging women and underrepresented groups to apply, even if they don’t meet all qualifications. Enable is an equal opportunity employer, fostering an inclusive, accessible workplace that values diversity.