Senior Machine Learning Engineer

Zebra People; Greater London; On-site; GBP 115,000 - 160,000; Full time

Job summary

A pioneering health AI company in the UK seeks a Senior Machine Learning Engineer to design and implement their AI and ML infrastructure. This role will involve the productionization of ML models, development of data pipelines, and establishing MLOps protocols. The ideal candidate will have over 5 years of experience in machine learning engineering and strong skills in Python and Google Cloud Platform. Attractive benefits, including a competitive salary ranging from $160,000 to $220,000, equity participation, and a mission-driven work environment.

Benefits

Competitive salary and benefits

Participation in equity program

Dynamic collaborative work environment

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 of productionizing ML models in both batch and real-time environments.

Responsibilities

• Design and implement the AI platform.
• Define MLOps protocols for agentic systems.
• Productionize research-grade notebooks into production-grade services.

Skills

Python engineering skills

MLOps protocols definition

Collaboration across teams

Productionizing ML models

Experience with BigQuery

Education

5+ years of experience in machine learning engineering

Tools

Google Cloud Platform

Airflow

Terraform

Job description

This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform.

The client

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 RunImplement 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

The role

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

Expected compensation for this role: $160,000–$220,000 (base + bonus), plus equity and benefits. Pay varies based on geography and prior experience.

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

The candidate

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 for large populations. With offices in New York and London, PHP combines financial resources with industry‑leading capabilities and technology. The firm’s incubation portfolio includes Metsera and Corsera Health.

Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.