Onsera Health

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 transforming long-term health trajectories for individuals, employers, and health systems nationwide. Onsera’s model transcends traditional weight-loss programs by integrating structured clinical journeys, behavioral and nutritional coaching, affordable medication access, and continuous data-driven optimization into one coordinated solution. With 2–3 weekly touchpoints, real-time monitoring, and seamless interoperability across the care ecosystem, every participant receives a personalized 24-month journey engineered for sustained results. Plan sponsors gain predictable costs, reduced claims exposure, and a transparent, validated ROI—without the fragmentation or guesswork seen elsewhere. Onsera delivers more than outcomes—we deliver a human-centered experience that empowers individuals, restores health, and meaningfully reduces long-term cardiometabolic risk across entire populations. It is a complete, connected, and clinically rigorous solution built to drive results that endure. Onsera Health partners with self-funded plan sponsors, health plans, and commercial organizations seeking a proven, evidence-driven approach that consistently delivers documented, measurable results.

Listed Jobs

Company Name

Onsera Health

Job Title

Senior Machine Learning Engineer

Job Description

**Job title:** Senior Machine Learning Engineer **Role Summary:** Design, build, and operate production-grade ML and AI foundations on Google Cloud Platform (GCP) for a regulated health-care platform. Bridge data science experimentation with platform engineering, ensuring secure, compliant, and scalable delivery of ML models, agentic AI workflows, and data pipelines. **Expactations:** - Deliver end‑to‑end ML/AI solutions that meet governance, compliance, and performance standards in a regulated environment. - Lead architecture decisions for agentic AI systems, LLM integration, and observability. - Maintain high code quality, reproducibility, and automated CI/CD pipelines for ML workloads. **Key Responsibilities:** - Architect and implement an agentic AI framework (LLM selection, tool integration, memory, guardrails, evaluation, observability). - Define and enforce MLOps protocols: prompt and tool versioning, environment separation, cost controls, rate‑limiting, and fail‑safe mechanisms. - Translate data‑science experiments into GCP infrastructure: scalable compute patterns, reproducible environments, and IAM policies. - Productionize research notebooks into modular, tested Python services, batch and streaming pipelines, and scheduled workflows. - Build cost‑efficient, idempotent data pipelines using BigQuery, Airflow/Workflows, and Cloud Run. - Implement automated validation, monitoring, rollback, and model lifecycle management. - Establish logging, metrics, tracing, data quality checks, audit trails, and model decision governance. **Required Skills:** - 5+ years experience in ML engineering, data engineering, or closely related field. - Strong Python coding with type annotations, unit testing, and production‑grade practices. - Proven track record of productionizing ML models in batch or real‑time environments. - Hands‑on with analytical data warehouses (BigQuery or equivalent) and orchestration tools (Airflow, Cloud Workflows). - GCP deployment experience (Cloud Run, GCS, IAM, Cloud Load Balancing). - Infrastructure‑as‑Code with Terraform or equivalent. - Feature engineering, model lifecycle management, and evaluation. - Excellent collaboration across Data Science, Product, and Platform teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent experience). - Certifications such as Google Cloud Professional Machine Learning Engineer or equivalent preferred.

London, United kingdom

Hybrid

Senior

27-01-2026

Company Name

Onsera Health

Job Title

Platform Engineer

Job Description

**Job Title:** Platform Engineer **Role Summary** Own and evolve the production-grade Google Cloud Platform infrastructure that supports Onsera Health’s AI-driven healthcare products. Deliver secure, scalable, and cost-effective cloud environments for product, data, and machine‑learning teams, while ensuring compliance with healthcare standards (HIPAA, SOC 2, ISO 27001). **Expectations** - Minimum 3 years in cloud infrastructure or platform/devops roles. - Proven expertise with GCP, Terraform, IAM, networking, and containerized or serverless workloads. - Experience designing and operating web‑facing, security‑sensitive systems in regulated or health‑care settings. - Strong communication skills for translating ambiguous requirements into concrete platform solutions. **Key Responsibilities** - Operate and evolve GCP production and non‑production environments; manage cost visibility, quotas, and alerts. - Provision and secure internet‑facing architecture (HTTPS load balancers, Cloud Run, GKE, DNS, certificates, WAF, rate limiting, auth integration). - Maintain Terraform IaC across projects, networks, IAM, and services; enforce policy‑as‑code. - Implement and enforce security and compliance controls (HIPAA, SOC 2, ISO 27001); configure IAM, service accounts, workload identity, network security, audit logging; support audits and remediation. - Translate product, data, and ML requirements into scalable platform designs; provision tooling for ML experimentation, data pipelines, and orchestration. - Deploy and manage generative‑AI toolkits, LLM and agentic‑AI infrastructure, model‑serving endpoints, and data governance for AI workloads. - Drive reliability and incident response; improve observability through logging, metrics, and tracing. - Participate in on‑call rotations appropriate to company stage. - Continuously improve platform reliability, security posture, and contributor experience. **Required Skills** - Google Cloud Platform (compute, networking, IAM, Cloud Run, GKE). - Terraform or similar infrastructure‑as‑code tools. - Cloud networking (VPC, subnets, routing, load balancers). - Container‑based and serverless workloads (Docker, Cloud Run, GKE). - Security controls implementation (SOC 2, ISO 27001, HIPAA). - Web‑facing, security‑sensitive system operation. - Basic CI/CD tools (GitHub Actions, Cloud Build) and policy‑as‑code. - Observability fundamentals (OpenTelemetry, Prometheus, Cloud Monitoring). - Communication skills for explaining platform trade‑offs. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Electrical Engineering, or related discipline. - GCP certifications (Professional Cloud Architect, Professional Cloud Network Engineer) or equivalent security certifications preferred.

London, United kingdom

Hybrid

Junior

28-01-2026

Company Name

Onsera Health

Job Title

Platform Engineer - GCP

Job Description

**Job Title** Platform Engineer - GCP **Role Summary** Design, manage, and secure cloud infrastructure on Google Cloud Platform (GCP) to support global AI/ML, data, and application workloads for a healthcare technology platform. Focus on scalable, compliant, and production-grade solutions aligned with industry standards and healthcare regulations. **Expectations** - Own end-to-end GCP infrastructure lifecycle (production and non-production). - Implement infrastructure-as-code (Terraform) for secure, reproducible deployments. - Enforce healthcare compliance (HIPAA, SOC 2, ISO 27001) and drive security best practices. - Collaborate cross-functionally with ML, data, and product teams to translate requirements into infrastructure solutions. - Optimize cloud operations, cost management, and platform reliability. **Key Responsibilities** - Operate and evolve GCP environments (networking, IAM, access controls). - Provision and secure internet-facing architecture (Cloud Run, GKE, HTTPS load balancers, DNS). - Deploy ML/AI workloads, including LLMs, generative AI toolkits, and model serving infrastructure. - Drive incident response, observability (logging, metrics, tracing), and on-call support. - Manage CI/CD pipelines, observability tools, and compliance audits. - Improve contributor experience through automation, platform reliability, and productivity tools. **Required Skills** - 3+ years in cloud infrastructure (GCP preferred). - Hands-on Terraform experience for managing GCP resources at scale. - Proficiency in cloud networking (VPCs, load balancers) and IAM policies. - Experience with containerized (GKE, Docker) and serverless (Cloud Run) workloads. - Healthcare compliance expertise (HIPAA, SOC 2, ISO 27001). - Strong collaboration skills to translate complex requirements into infrastructure solutions. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field. - Demonstrated track record in cloud operations roles. - Familiarity with ML/AI workflows and data pipeline tools (BigQuery, Airflow) is advantageous.

London, United kingdom

Hybrid

Junior

04-02-2026

Company Name

Onsera Health

Job Title

Senior Data Scientist

Job Description

**Job title** Senior Data Scientist **Role Summary** Lead the design, development, and deployment of advanced machine learning, AI, and statistical models for population health management. Drive the data science function from concept to production, set standards and tooling, and mentor peers across cross‑functional teams. **Expectations** - 8+ years of data science or applied statistics experience with measurable impact on large‑scale projects. - PhD in Mathematics, Statistics, Computer Science, Economics, or equivalent MS with comparable experience. - Demonstrated ability to own end‑to‑end research initiatives, from hypothesis to production, delivering significant business value. - Expertise in statistical modeling, classical machine learning, and emerging AI/ML methods. - Extensive experience with large analytical data warehouses (e.g., BigQuery) and Python science libraries (pandas, scikit‑learn, statsmodels, PyTorch/TensorFlow). - Proven track record establishing ML/AI standards, roadmaps, and tooling within data science organizations. - Strong communication skills for presenting complex technical work to technical and executive audiences. **Key Responsibilities** - Lead design and development of ML, AI, and statistical models for population health. - Define and execute modeling strategies balancing current business needs with a 2+ year technical vision. - Establish data science standards, best practices, and tooling across the organization. - Drive scientific rigor in analytical outputs: study design, bias mitigation, reproducibility. - Review and mentor data scientists, ensuring high‑quality deliverables. - Analyze large‑scale claims, EHR, pharmacy, lab, and other healthcare datasets to produce clinically and commercially actionable insights. - Communicate findings to stakeholders through visualizations, reports, and presentations. **Required Skills** - Advanced proficiency in Python, including pandas, scikit‑learn, statsmodels, PyTorch/TensorFlow. - Deep knowledge of statistical modeling, experimental design, and machine learning algorithms. - Experience with large‑scale analytical data warehouses (e.g., BigQuery). - Ability to develop and maintain ML/AI standards, best practices, and tooling. - Strong mentorship and technical review capabilities. - Excellent written and verbal communication; ability to present to executives. **Required Education & Certifications** - PhD in Mathematics, Statistics, Computer Science, Economics, or equivalent quantitative discipline. - MS in a quantitative field acceptable if accompanied by equivalent professional experience.

London, United kingdom

Hybrid

Senior

24-02-2026