Description review
Machine Learning Engineer (Governance ML Platform)
EDB · EMEA · back to the listing
HR standards
49/100
poor
Title ↔ description
82/100
solid
Reads as
Machine Learning Engineer
100% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
- Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
- Member of Technical Staff (applied) Anthrogen
- Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
- Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
- Staff AI Engineer - Agent Architecture & Behavior Artisan
What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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!
EDB is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. EDB was built on a commitment to trust and respect each other and to embrace an array of people and ideas. These values remain at the center of our culture and are key to our company’s integrity.
EDB does not seek or accept unsolicited resumes or CVs from recruitment agencies. EDB and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as required in a written signed agreement between EDB and the recruitment agency or party requesting payment of a fee.
#LI-Remote
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!
EDB is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. EDB was built on a commitment to trust and respect each other and to embrace an array of people and ideas. These values remain at the center of our culture and are key to our company’s integrity.
EDB does not seek or accept unsolicited resumes or CVs from recruitment agencies. EDB and its affiliates are not responsible for, and will not pay, any fees, commissions, or any other similar payment related to unsolicited resumes or CVs except as required in a written signed agreement between EDB and the recruitment agency or party requesting payment of a fee.
#LI-Remote