Find Jobs
Find Jobs Near You – Available Work in Your Location
Lead Machine Learning Engineer
Career Insights for Machine Learning Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Florida data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$127,022 / year median in Florida
Job Description
- Posted 20 days ago
- Updated 16 hours ago Contract Corp To Corp Contract W2 Contract Independent On-site $100 - $120 hourly Kforce Technology Staffing Fitment Dice Job Match Score™ 🔢 Crunching numbers.
RESPONSIBILITIES
Kforce has a client seeking a Lead Machine Learning Engineer in Fort Lauderdale, FL to lead the design, development, and deployment of enterprise-scale machine learning solutions that drive customer intelligence, personalization, recommendation engines, and next-generation AI experiences.Responsibilities:
Machine Learning Development:
- Design, develop, train, and deploy machine learning models and predictive analytics solutions
- Build recommendation engines, customer segmentation models, churn prediction models, and customer value forecasting solutions
- Develop reusable machine learning frameworks, standards, and best practices
- Optimize model performance, scalability, and reliability
Customer Intelligence & Personalization:
- Leverage customer data platforms and identity resolution capabilities to enhance model accuracy
- Create personalized customer experiences and intelligent insights
- Develop solutions that improve customer engagement, retention, and loyalty
- Partner with business stakeholders to align machine learning initiatives with organizational objectives
AI & Advanced Analytics:
- Support the development of AI-powered applications and intelligent assistants
- Contribute to Generative AI, LLM, and agent-based AI initiatives
- Evaluate emerging AI technologies and recommend opportunities for adoption
- Collaborate with engineering teams to create innovative AI-enabled business solutions
Production ML & MLOps:
- Partner with MLOps teams to operationalize machine learning models
- Develop real-time inference and prediction services
- Build model monitoring, validation, retraining, and governance processes
- Ensure secure, scalable, and reliable production deployments
Technical Leadership:
- Provide technical leadership across Machine Learning, Data Science, and Engineering teams
- Mentor engineers and data scientists
REQUIREMENTS
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field required; Master's degree or equivalent advanced experience preferred
- 8+ years of Machine Learning Engineering, Data Science, or Applied AI experience
- 3+ years in a Lead, Principal, or Senior Technical Leadership role
- Experience delivering production-grade machine learning solutions at scale Strong expertise with:
- Python
- Databricks
- MLflow
- TensorFlow, PyTorch, and/or Scikit-learn
- Real-time inference architectures Experience building:
- Recommendation systems
- Personalization engines
- Predictive analytics solutions
- Customer intelligence platforms
- Strong understanding of feature engineering and ML lifecycle management
- Experience partnering with Data Engineering teams to build ML-ready data pipelines and datasets
Preferred Skills:
- Customer 360 or customer data platform experience
- Identity Graph experience
- Experience within hospitality, gaming, entertainment, retail, loyalty, or consumer-facing digital organizations Experience with:
- Snowflake
- MLOps practices and platforms
- Generative AI solutions
- Agentic AI architectures
- LLM-powered applications
- Real-time recommendation platforms
- Experience supporting enterprise AI transformation initiatives The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role.