ML Engineer (Forecasting) | NDA

This a Full Remote job, the offer is available from: Europe GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands. Our clients operate in industries like healthcare, life sciences, fintech, retail, e-commerce, finance and many more - giving our team exposure to real-world, high-impact projects. About the Role We’re looking for an AI/ML Engineer to join a UK-based client in the healthcare and pharmacy domain. The role focuses on forecasting and time-series modeling, developing solutions that directly improve operational efficiency. Project duration: 12 weeks (with possible extension). Start date: June 15 (flexible - part-time start possible). Project Details: The project focuses on developing a forecasting solution for a large healthcare network. It uses historical clinic and marketing data to predict clinic usage and staffing needs, helping optimize scheduling and resource allocation. The goal is to build a scalable, data-driven platform that improves operational efficiency. Responsibilities: • Design, train, and deploy ML models for time-series forecasting and related data tasks • Build and maintain data pipelines using cloud-native tools (AWS, GCP, or Azure) • Develop and optimize forecasting models (Prophet, ARIMA, LSTM, TimeGPT) • Collaborate with data, product, and cloud engineers to deliver reliable, scalable solutions • Participate in different stages of the project lifecycle - from discovery and PoC to production deployment, presenting your work to stakeholders Essential knowledge, skills & experience (must-have): • 4+ years of experience in Machine Learning / Data Science • Proven experience with forecasting / time-series modeling (Prophet, ARIMA/SARIMA, LSTM, TimeGPT, XGBoost or similar) • Strong Python skills (Pandas, NumPy, scikit-learn, PyTorch) • Experience with model deployment and production ML systems • Familiarity with data preprocessing and feature engineering for time-series data • Familiarity with cloud environments (Azure, AWS, or GCP) • Version control (Git) and SQL • Advanced English level Nice-to-have: • Experience with Generative AI / LLMs • Experience with RAG pipelines • Experience with vector databases (Weaviate, Milvus) • Familiarity with LLM evaluation frameworks (e.g. DeepEval) Soft Skills • Strong sense of ownership and accountability • Proactive attitude and ability to work independently • Clear and confident communication with both tech and non-tech stakeholders • Comfortable working in ambiguity and helping define requirements • Strategic thinking and focus on business impact • Team player Interview Steps • GT interview with Recruiter • Technical interview • Final interview This offer from "GT" has been enriched by Jobgether.com and got a 78% flex score.