Back to jobs
Blue Whale Lending LLC.

Machine Learning Engineer

TX, United States

What you’ll work on

Full posting
  • 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.

From the employer’s posting
Key Responsibilities Develop and implement machine learning models to enhance our lending processes. Collaborate with data scientists and software engineers to integrate models into production systems.
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.
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.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Pay, work setup, and employment type unconfirmed

Not confirmed in this saved copy: pay, work setup, employment type. Check the full posting

Tools in this posting

  • python
  • aws
  • hadoop
  • numpy
  • pandas
  • tensorflow
Source — Tool mentions in context
- 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).
- 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).
- Experience with cloud platforms (e.g., AWS, Azure). - Familiarity with big data technologies (e.g., Hadoop, Spark). - Knowledge of financial services and lending mechanisms.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.

Already applied? Track this application

About applying

Apply opens the employer’s site in a new tab. Add your outcome here after you submit.

Source details & eligibility

Before you apply

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

TX, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Posting history
Status in our records
Unknown — awaiting fresh evidence
First seen by us
Sep 7, 2026
Recorded sightings
1

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

Job 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.

Key Responsibilities

  • 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.

Requirements

  • 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.

Nice to have

  • 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.