Senior Ds ML Engineer Nda

**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 a **Senior Data Scientist / ML Engineer** to join a UK-based client in the healthcare and pharmacy domain. The role combines forecasting and machine learning with end-to-end ownership of solution delivery, from project discovery and stakeholder collaboration through model development, deployment, and productionisation. **Location**: Nottingham, UK **Office attendance**: 1-2 days per week in the Nottingham office. **Project duration**: 6 months (with possible extension). **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 * Work closely with business stakeholders and SMEs to gather requirements, shape solutions, and drive project discovery * Communicate modelling approaches, assumptions, and results to both technical and non-technical audiences **Essential knowledge, skills & experience (must-have):** --------------------------------------------------------- * 4+ years of commercial experience in Data Science / Machine Learning * Hands-on experience with: * Databricks * Notebooks * PySpark * Workflows * Deployment through Asset Bundles * Proven experience building, deploying, and maintaining production ML solutions * Broad experience across multiple ML domains, including: * **Forecasting / Time-Series Modelling** * Regression * Classification * Gradient Boosting models (e.g. XGBoost, LightGBM) * Strong **Python** skills (Pandas, NumPy, scikit-learn, PyTorch) * Experience with model evaluation, performance monitoring, and accuracy metrics * Version control (Git) * Experience working with cloud environments (Azure preferred, AWS/GCP also considered) * SQL * **Fluent English** **Nice-to-have:** ----------------- * Retail or similar consumer-facing industry experience * Azure DevOps: * Repos * Boards * Pipelines * Experience with Databricks model training and inference workflows * Databricks Apps and Lakebase * 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 * Strong stakeholder management skills * 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** ------------------- 1. GT interview with Recruiter 2. Technical interview 3. Final interview 4. Reference check 5. Security check Find [Jobs in United Kingdom](https://www.arbeitnow.co.uk) on Arbeitnow