EDB
More roles at EDBMachine Learning Engineer (Governance ML Platform)
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 4 weeks ago · Added 4 weeks ago
Been open since 4 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Europe
Timezone
CET ±2
Contract
Full-time
Experience
Mid
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "Remote EMEA, EMEA"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
A Little About Us
EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com
Candidate Note: This position is 100% remote
EDB is building the next generation of AI agent infrastructure on top of Postgres including an Agent Hub, an Agent Memory layer, MCP, governance and trust controls, and enterprise-grade retrieval.
We're looking for an experienced Machine Learning (ML) Engineer to own the ML infrastructure spanning serving, evaluation, red-teaming, and continuous improvement for governance models. And turning Postgres into a first-class platform for AI agents.
What your impact will be:
Serving & evaluations: low-latency serving, eval pipelines, model registry.
Research-to-production: <50ms inference via quantization/distillation, drift monitoring, shadow deployment, telemetry-to-training pipelines.
Red-team harness: attack orchestration, scorecards, regression suites, CI gating.
Self-improvement loop: continuous retraining, dataset curation from the audit trail, gated auto-rollout.
What you will bring:
4–7 years of professional machine learning software engineering experience, with hands-on work on LLM-based or agentic systems.
Deep production ML serving experience (low-latency inference, quantization/distillation).
Evaluation pipeline and model registry experience.
Red-team/adversarial testing harness experience (CI-gated regression suites).
Drift monitoring/shadow deployment experience.
Fluency with SQL and PostgreSQL.
Security first mindset and experience in audited environments.
What will give you an edge:
Experience building auto-retraining loops from production telemetry/audit data.
Familiarity with the Model Context Protocol (MCP), tool registries, and agent orchestration patterns.
Postgres extension development in C or Rust, or contributions to the Postgres ecosystem.
EDB is committed to supporting our employees' overall well being by offering a range of benefits and resources to promote a healthy work-life balance and wellness. We provide access to CuraLinc to aid employees in health and wellness tips and practices, as well as Wellness Fridays extending to December 2026! Check out our career site for more information on perks and benefits and reach out to our Talent Acquisition team for region specific benefits.
We know it takes a unique mix of people and skills to help us in our mission to supercharge Postgres, and we understand that not everyone will check every box. We’d love to hear from you and we want you to apply!
Requirements
- ·4–7 years of professional machine learning software engineering experience, with hands-on work on LLM-based or agentic systems.
- ·Deep production ML serving experience (low-latency inference, quantization/distillation).
- ·Evaluation pipeline and model registry experience.
- ·Red-team/adversarial testing harness experience (CI-gated regression suites).
- ·Drift monitoring/shadow deployment experience.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at EDB, mentioning your remote working experience and working hours (CET ±2).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 26d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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