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Software Engineer - ML Platform

Datavant Ireland
Dublin, County Dublin

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Job details

Qualifications

TensorFlow
CI/CD
Data modelling
Azure
Law
Computer Science
Kubernetes
DevOps
Spark
Git
Google Cloud Platform
Master's degree
AWS
Docker
Distributed systems
Terraform
GitHub
Kafka
Jenkins
GitLab
Communication skills
Python
Debugging

Full job description

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.

By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.

Join our Data & ML Platform organization on the Ingestion & Streaming team. We own the movement layer of Datavant's data platform: batch and streaming pipelines, change data capture, document intake, and the self-service frameworks product teams use to land new sources into Snowflake, our Iceberg-backed lakehouse, and Databricks. Most data moves into the platform; some moves back out. Our job is to make both safe, fast, observable, and boring.

This role is for an engineer who thinks like a platform builder first. We are shifting from a service-oriented posture ("we'll build the pipeline for you") to a platform-oriented one ("here is the paved path to build it yourself, safely"), though the team still builds pipelines directly when the situation calls for it. You will be central to that shift, designing the frameworks, tooling, and guardrails that scale how Datavant onboards new sources, and rolling up your sleeves for hands-on ingestion work when there isn't yet a paved path. AI fluency is a baseline expectation here. You should already be using Claude Code, Cursor, Copilot, or equivalent tools as a core part of your daily engineering workflow, have opinions about how they make a team faster, and know how to apply them responsibly when PHI and other sensitive data are in scope.

What You Will Do:

Build and operate the MLOps infrastructure and pipelines

- Spark, Python, Databricks
Build and maintain a self-service path to supercharge our data science team's capabilities
Automate CI/CD for model training, testing, validation, and deployment
Wire up monitoring, logging, and alerting for model performance, data drift, and system health
Tune ML workflows for cost, performance, scale
Keep the lifecycle secure and compliant
Set the bar on MLOps and deployment practice for the teams who build on us
- and turn each incident into a fix that sticks

What you will bring to the table:

2+ years in MLOps, software engineering, DevOps, or a related role
- MLflow, TensorFlow, PyTorch, scikit-learn
Hands-on big data work with Apache Spark
- SageMaker, Azure Machine Learning, or Vertex AI
Comfort with infrastructure-as-code (Terraform or equivalent) and containers (Docker, Kubernetes) for production ML workloads
- GitHub Actions, Jenkins, GitLab CI, whatever you've used
Strong Python
An AI-native working style: daily use of Claude Code, Cursor, Copilot, or equivalent, and a point of view on them
The ability to debug complex problems in distributed systems without flailing
Strong written and verbal communication skills, especially async and remote

Bonus points for:

Hands-on Databricks, ideally with IaC or deployment automation
Productionizing large NLP or LLM models
Real-time streaming (Kafka) and workflow orchestration (Airflow)
- nice, not required
Prior experience in healthcare or another highly regulated industry like Finance
Prior SRE, DRE, or MLE work keeping production ML alive under pressure

Join Our Team at Datavant Ireland – A Galway-Based R&D Technology Center

Datavant Ireland is an innovative R&D technology center based in Galway, dedicated to solving complex technology challenges with a purpose. We are looking for talented technical professionals who are product-minded and eager to make an impact. If you are passionate about developing cutting-edge solutions and want to be part of a growing team, we invite you to explore the exciting career opportunities at Datavant.

Careers at Datavant offer the opportunity to apply your technology and problem-solving skills toward a vision that every healthcare decision is powered by the right data, at the right time, in the right format. We're looking for problem-solvers, game-changers, innovators, dreamers, doers—people who are ready to move the needle and build on our success.

We provide team members with a robust total compensation package that includes:

Competitive, equitable salary.
Comprehensive benefits.
Pension contribution.
Flexible, Hybrid work environment.

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive.

We are proud to be an Equal Employment Opportunity employer. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis.

For more information about how we collect and use your data, please review our Privacy Policy.

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platform engineer devops & data pipelines jobs

Software Engineer - ML Platform

Systems Development Engineer , Enterprise Collaboration Platforms

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Senior Engineer

Development Manager

.Net Senior Software Engineer

Senior Software Engineer, Intelligence Services (IRL)

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Software Engineer II

Software Engineer II

SDET (Microsoft Stack)

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AI Architect (R-18541)

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