Job#: 3040896 Job Description: Senior Machine Learning Engineer
About the RoleJoin a high-impact Machine Learning Engineering team supporting critical decisioning platforms across a leading financial services organization. This team develops and scales production machine learning systems that power credit decisioning, fraud detection, risk assessment, and partner-facing applications.
As a Sr Machine Learning Engineer, you will work at the intersection of software engineering, cloud infrastructure, and machine learning. Partnering closely with Data Scientists, Product Managers, and Engineering teams, you will design, deploy, and scale machine learning solutions that deliver measurable business impact. This role is ideal for engineers who enjoy building cloud-native ML platforms, operationalizing models, and driving production excellence at enterprise scale.
Key Details Rate: $70-$75/hr
Location: McLean, VA (Hybrid - Tuesday through Thursday onsite)
Duration: 12+ Month Contract
Interview Process: One-round virtual interview via Zoom
What You'll Do- Design, develop, and deploy production-grade machine learning solutions on AWS
- Build and maintain scalable ML pipelines for model training, validation, deployment, and monitoring
- Partner with Data Scientists to operationalize advanced analytical and machine learning models
- Develop cloud-native infrastructure to support machine learning workloads
- Optimize model performance, reliability, and operational efficiency
- Implement best practices for testing, CI/CD, governance, and monitoring across the ML lifecycle
- Support enterprise-scale machine learning initiatives across:
- Credit Decisioning
- Fraud Detection
- Risk Assessment
- Partner and Acquisition Programs
- Contribute to the evolution of ML platform capabilities and engineering standards
Required Qualifications- 5+ years of experience in Machine Learning Engineering, Software Engineering, or related disciplines
- Strong proficiency in Python
- Deep expertise with AWS services, including ECS, EC2, EKS, S3, and cloud-native architectures
- Experience designing and deploying machine learning applications in production environments
- Hands-on experience with Kubernetes
- Experience with workflow orchestration tools such as Kubeflow
- Strong understanding of MLOps principles and the machine learning lifecycle
- Experience with distributed data processing frameworks such as Apache Spark
- Strong software engineering fundamentals, including version control, testing, and CI/CD practices
Preferred Qualifications- Experience with Databricks and modern analytics platforms
- Strong SQL and data analysis experience
- Experience building end-to-end machine learning platforms
- Familiarity with feature stores, model monitoring, and ML observability tools
- AWS Solutions Architect or related cloud certifications
- Experience supporting large-scale enterprise machine learning ecosystems
- Exposure to Generative AI, LLM deployment, or AI platform engineering initiatives
Technical EnvironmentCloud & Infrastructure- AWS (EC2, ECS, EKS, S3)
- Kubernetes
- Docker
- Cloud-Native Architecture
Machine Learning & MLOps- Kubeflow
- Apache Airflow
- Model Training & Deployment
- ML Pipeline Orchestration
- CI/CD Automation
- Model Monitoring & Governance
Programming & Data Technologies- Python
- Apache Spark
- SQL
- Pandas
- NumPy
- Databricks
Why Join Us? Impact at Scale: Your work will directly influence credit decisions, fraud prevention, and customer experiences.
Growth Potential: Be part of a rapidly expanding team with opportunities to convert to full-time.
Collaboration: Work alongside top-tier data scientists and engineers in a supportive environment.
Innovation: Access to modern ML tooling and cloud-native infrastructure.
Senior Machine Learning Engineer | AWS | Kubernetes | Kubeflow | Airflow | Spark | Python | MLOps | Financial ServicesEverforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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