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Onsera Health

Senior Machine Learning Engineer

Hybrid

London, United kingdom

£ 150,000 /year

Senior

Full Time

27-01-2026

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Skills

Communication Python PHP Data Engineering CI/CD Monitoring Research Machine Learning Google Cloud Platform Analytics GCP Data Science Terraform

Job Specifications

The Challenge

Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value.

The Opportunity

This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management.

As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards.

Responsibilities

Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability
Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms
Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments
Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows
Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run
Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management
Establish reliability and governance – logging, metrics, tracing, data quality checks, and auditability for model decisions, data lineage, and agent actions

What We Offer

Mission-driven work addressing critical public health and healthcare economics challenges
Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform
Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond
A fast-paced, dynamic, and highly collaborative work environment
Competitive salary and benefits package, including participation in our equity program

Minimum Qualifications

5+ years of experience in machine learning engineering, data engineering, or a related field
Strong Python engineering skills with production-quality, typed, and tested code
Track record productionizing ML models in batch and/or real-time environments
Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar)
Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM
Infrastructure-as-Code experience (Terraform or equivalent)
Experience with feature engineering, model lifecycle management, and ML evaluation
Demonstrated ability to collaborate across Data Science, Product, and Platform teams

Preferred Qualifications

Experience with LLMs, agent frameworks, or AI orchestration systems in production
Familiarity with prompt management, tool calling, evaluation, and AI safety patterns
Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance
Experience with claims data, EHR-derived datasets, or real-world evidence
Strong written and verbal communication skills with technical and non-technical stakeholders

About Onsera Health

We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides:

Venture track record: A proven track record of success in building biotech and healthcare companies
Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth
Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent
Expert network: Established connections across pharma, payers, and providers
Startup agility: Ownership in the venture, founder mentality, and ground-floor impact

About PHP

Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes

About the Company

Onsera Health is redefining virtual obesity and cardiometabolic care. As a licensed national provider, we deliver a comprehensive, evidence-based weight management solution designed to produce sustainable, measurable health outcomes at scale. Grounded in integrity, clinical rigor, and continuous innovation, Onsera combines advanced risk stratification, AI-driven personalization, and high-touch multidisciplinary care to deliver a level of precision and impact the market has not seen. We are not just treating weight—we are tra... Know more