Job#: 3027813 Job Description: Machine Learning Engineer (Contract to Hire)
Location: Richmond, VA (Hybrid 2-3 days per week) (Open to candidates outside of the area who can travel in 1 time per month)
We're seeking a Machine Learning Engineer to join a growing data science team focused on building and operationalizing AI-driven solutions in a complex enterprise environment. This role is ideal for someone who enjoys working close to the business, owning models end-to-end, and ensuring solutions are scalable, maintainable, and production-ready.
This position leans slightly more toward
applied data science and production ML than pure ML platform engineering and will play a key role in expanding enterprise-wide AI usage over the next several months.
What You'll Do
- Design, build, and maintain machine learning models used in pricing and analytics workflows
- Contribute to a multi-component pricing engine, blending traditional statistical modeling and ML
- Own the full ML lifecycle: requirements intake, data understanding, model development, deployment, and post-production support
- Deploy and scale models that will be used across the enterprise, not just by small or isolated teams
- Integrate ML/AI solutions into existing enterprise systems, services, and APIs
- Partner with data engineering, infrastructure, and downstream teams to deploy models into production environments
- Monitor and maintain models in production, including data drift, model drift, and concept drift
- Establish observability thresholds and support post-deployment hypercare
- Translate business and pricing requirements into technically sound ML solutions
Required Skills & Experience
- Strong Python experience for machine learning and data analysis
- Hands-on experience with Databricks and distributed data processing (PySpark)
- Experience supporting production ML deployments through the full SDLC
- Familiarity with cloud-based ML workflows (Google Cloud Platform preferred: Vertex AI, BigQuery; open to AWS or Azure)
- Solid understanding of supervised and unsupervised learning, especially regression and clustering
- Experience with ML observability and monitoring (MLflow, Evidently, WhyLabs, or similar)
- Experience with CI/CD practices and tools such as GitHub Actions
- Ability to work with structured and unstructured enterprise data
- Comfort operating in environments with security, privacy, and compliance standards (e.g., healthcare or regulated industries)
Preferred Qualifications
- Experience with pricing analytics, pricing optimization, or revenue management models
- Familiarity with ML libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow
- Exposure to feature stores, model registries, and automated retraining workflows
- Experience designing ML solutions intended for high scale and enterprise adoption
- Prior work in environments where models move beyond experimentation into long-term production use
Additional Details
- Contract-to-hire opportunity
- Modern, cloud-based data and ML stack
- Strong preference for local candidates in the Richmond, VA area
Everforth 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 ClearlyRated's 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.
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.
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