Founding ML Engineer

Location London
Discipline: Machine Learning
Contact name: Eddie Woodley

Contact email:
Published: 13 days ago

An early-stage startup is seeking a talented Founding Machine Learning Engineer to join their team. The company is focused on using behavioral data to develop Personal Healthcare Agents through a responsible AI-first approach. Comprised of a dedicated group of digital health researchers, machine learning scientists, and clinicians from renowned institutions, the company is committed to delivering continuous supportive care to patients.

About the Role

As a Founding Machine Learning Engineer, you will play a crucial role in developing methods for building reliable and engaging patient-facing experiences. The ideal candidate will have a proven track record of building and deploying impactful machine learning tools, with a strong foundation in machine learning and extensive experience in natural language processing. This role requires exceptional software engineering skills, a passion for machine learning research, and a deep commitment to building reliable systems for high-stakes, real-world applications.

What You'll Do

  • Build and maintain a platform for continuous patient engagement, including managing backbone infrastructure for user engagement and conversation.

  • Develop and manage models for domain-specific applications and conversational nuances.

  • Iterate and maintain frameworks for gathering consistent user feedback.

  • Create tools for evaluating and monitoring the performance of deployed real-world experiments.

  • Implement and scale training and inference engineering frameworks.

  • Develop a deep understanding of user needs through direct user feedback and clinical research.

  • Report and present developments to leadership and other team members.

  • Collaborate with team members to meet ongoing goals.

  • Prepare monthly talks on relevant machine learning research and advances.

  • Attend machine learning and clinical conferences at the team's favorite venues.

What You'll Bring

  • A bachelor's, master's, or higher degree in Computer Science, Software Engineering, or a related field.

  • 7+ years of industry experience in relevant roles.

  • Proven track record in software engineering, particularly in building, maintaining, and deploying ML-based applications.

  • Expertise in machine learning, with extensive experience in natural language processing

  • Familiarity with evaluating and deploying machine learning models.

  • Proficiency in programming languages such as Python, and machine learning frameworks such as TensorFlow, PyTorch, and HuggingFace.

  • Deep interest in building safe and reliable AI tools for real-world applications.

Preferred but not Required

  • Experience collaborating and working with researchers in an interdisciplinary setting.

  • Experience working with real-world datasets.

  • Previous experience in a healthcare setting or at an early-stage startup.