> Markdown version of [/jobs/ext/2618357-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2618357-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** BLUE WHALE LENDING L.L.C. - **Location:** Dallas, TX, United States - **Salary:** $143,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Computer Programming, Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Data Processing, Apache Spark, Pandas, Scikit Learn, Information Technology, Software Library - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a207246780ed01be ## About the Role * Bachelor's degree in Computer Science, Data Science, or a related field. * Proven experience in machine learning, with a strong understanding of algorithms and frameworks. * Proficiency in programming languages such as Python or R. * Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., TensorFlow, Scikit-learn). * Strong analytical and problem-solving skills., * Master's degree or higher in a relevant field. * Experience with cloud platforms (e.g., AWS, Azure). * Familiarity with big data technologies (e.g., Hadoop, Spark). * Knowledge of financial services and lending mechanisms. ## Description We are seeking a talented individual to join our team at Blue Whale Lending LLC as a Machine Learning Engineer. This position is ideal for someone with a passion for data and a strong background in machine learning techniques who is looking to contribute to innovative projects in the lending industry., * Develop and implement machine learning models to enhance our lending processes. * Collaborate with data scientists and software engineers to integrate models into production systems. * Analyse large datasets to extract meaningful insights and identify opportunities for improvement. * Conduct experiments to validate model performance and ensure robustness. * Stay updated on the latest advancements in machine learning and AI technologies. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)