Staff Machine Learning Engineer
Discover InternationalAbout the role
Staff Machine Learning Engineer
We're looking for a Staff Level Machine Learning Engineer build large-scale systems that make a real-world impact?
Our client — a fast-growing AI company revolutionising healthcare — is seeking a Staff Machine Learning Engineer to lead the design, deployment, and optimisation of production-grade ML systems.
This is your opportunity to shape the next generation of applied AI in healthcare and work with some of the brightest minds in the industry.
Responsibilities:
Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions.
Mentor and guide other engineers, setting standards and shaping the company’s ML engineering practices.
Architect robust systems that support high-volume batch and real-time inference.
Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment.
Build and maintain pipelines for data ingestion, training, evaluation, and model serving.
Implement monitoring, observability, and reliability frameworks to ensure production-grade performance.
Optimise performance across the ML stack — balancing latency, scalability, and cost-efficiency.
Requirements:
Experience building and deploying ML models in production environments.
Strong programming background in Python, Go, C++, or Java.
Experience with distributed training, data pipelines, and real-time inference systems.
Sound understanding of ML concepts, particularly in computer vision or large language models (LLMs).
Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker).
Why apply?
Competitive compensation and equity package.
Flexible and hybrid work options across major U.S. tech hubs.
A high-growth, collaborative culture where ownership and innovation are valued.
A mission-driven environment — shaping the future of AI-powered healthcare.
To apply please contact Sam Shinner at Discover International
Responsibilities
- Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions.
- Mentor and guide other engineers, setting standards and shaping the company’s ML engineering practices.
- Architect robust systems that support high-volume batch and real-time inference.
- Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment.
- Build and maintain pipelines for data ingestion, training, evaluation, and model serving.
- Implement monitoring, observability, and reliability frameworks to ensure production-grade performance.
- Optimise performance across the ML stack — balancing latency, scalability, and cost-efficiency.
Qualifications
- Experience building and deploying ML models in production environments.
- Strong programming background in Python, Go, C++, or Java.
- Experience with distributed training, data pipelines, and real-time inference systems.
- Sound understanding of ML concepts, particularly in computer vision or large language models (LLMs).
- Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker).
Benefits
- Competitive compensation and equity package.
- Flexible and hybrid work options across major U.S. tech hubs.
- A high-growth, collaborative culture where ownership and innovation are valued.
- A mission-driven environment — shaping the future of AI-powered healthcare.
Skills mentioned
About Discover International
Discover International has a clear vision: to build the most outstanding life sciences recruitment partner in the industry. Today, we work with organizations across pharmaceuticals, biotechnology, CRO and CDMO, medical technology, and digital health, supporting them at every stage of the product lifecycle from early discovery through clinical development, manufacturing, and commercialization. As a full-service search and recruitment partner, we help companies build the teams behind breakthrough science. Whether scaling technical operations, advancing clinical programs, or driving market success, we connect our clients with the people who make progress possible. Our approach is grounded in deep expertise and genuine relationships. We do not rely on databases or algorithms to drive outcomes. We rely on the knowledge, networks, and care our teams bring to every search. It is what allows us to deliver with precision and why our partnerships are built to last. With a global footprint and local market insight, we combine international reach with a personal approach, making every hiring process feel seamless and every placement feel right.
H-1B sponsorship history
Historical employer filing data was found for Discover International. The employer record includes 100 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.