Role overview
We are seeking an experienced Machine Learning Engineer to design, build, and deploy scalable machine learning solutions within a hybrid environment in San Francisco, CA. This role focuses on developing production-ready ML systems, building APIs and data pipelines, and supporting real-time applications for financial trading and portfolio management systems. The ideal candidate will have strong expertise in Python-based ML development, cloud technologies (preferably AWS), data engineering, and financial market data integration.
- Location: Los Angeles, CA (Hybrid)
- Contract Duration: 6+ Months
- Rate Range – $50-60/hr on W2
- Only W2 Candidates, NO C2C
What you'll work on
- Design, build, and deploy machine learning models and ML-driven applications
- Develop infrastructure and tools for training, deploying, and monitoring ML models
- Convert machine learning prototypes into production-grade systems
- Build APIs, calculation engines, batch processes, and real-time modules supporting trading and portfolio management platforms
- Perform feature engineering, data processing, and data analysis
- Develop and maintain ETL pipelines and data workflows
- Integrate applications with external market data providers such as Bloomberg and TradeWeb
- Collaborate with cross-functional teams including engineering, data science, and trading stakeholders
- Participate in architecture discussions and contribute to scalable ML platform design
- Ensure systems are reliable, scalable, and optimized for performance
What we're looking for
- Strong programming experience with Python, Java, and other ML-related languages
- Strong hands-on experience with Python libraries such as Pandas and NumPy
- Experience building applications using FastAPI or Flask frameworks
- Solid understanding of machine learning algorithms and techniques
Experience with ML frameworks such as:
TensorFlow
PyTorch
Scikit-learn
Strong experience in data analysis, feature engineering, and large dataset handling
Strong SQL skills and database knowledge
Experience with GraphQL
Experience building real-time and batch applications
Experience working with AWS cloud services including:
EKS
API Gateway
Lambda
Redis
S3
Experience with PostgreSQL or similar databases
Experience integrating with market data providers (Bloomberg, TradeWeb, etc.)
Experience developing ETL pipelines
10–12 years of experience in Asset Management or Financial Services
Strong communication skills with the ability to coordinate with multiple stakeholders
- Experience with JupyterLab
- Experience with Apache Airflow or other workflow orchestration tools
- Knowledge of DevOps practices
- Strong interest in experimenting with new AI/ML technologies and platforms
- Experience working on Equity or Fixed Income trading use cases
- Exposure to data science platforms and advanced analytics tools
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
Opportunity Awaits.