Note: The job is a remote job and is open to candidates in USA. Harnham is partnering with a healthcare technology company that uses machine learning and AI to connect patients with clinical research opportunities. The Senior Machine Learning Engineer will design, build, deploy, and optimize production machine learning systems, pipelines, and intelligent healthcare products while collaborating with Product, Data Science, and Engineering teams.
Responsibilities
- Design, build, and deploy production machine learning systems
- Develop AI-powered products using modern machine learning techniques
- Build and optimize intelligent matching, recommendation, and prediction systems
- Partner with Data Scientists and Software Engineers to productionize models at scale
- Improve model performance, monitoring, reliability, and scalability in production
- Build robust ML pipelines and contribute to the evolution of the company's AI platform
- Work closely with Product and business stakeholders to deliver high-impact AI solutions
Skills
- 5+ years of Machine Learning Engineering or Applied Machine Learning experience
- Strong Python and SQL skills
- Experience deploying machine learning models into production
- Strong software engineering fundamentals
- Experience building scalable ML pipelines and production systems
- Ability to communicate technical concepts across cross-functional teams
- Healthcare, life sciences, biotech, pharma, insurance, or other regulated industry experience
- Experience with LLMs, Generative AI, RAG, agentic AI, recommendation systems, or NLP
- Experience with cloud platforms and modern MLOps tooling
- Startup or high-growth environment experience
Benefits
- Fully remote within the US
- Build AI products that directly improve patient access to clinical research
- Work alongside experienced AI, Product, and Engineering leaders
- Opportunity to influence the long-term AI and machine learning strategy of the company
Company Overview
Company H1B Sponsorship