# Senior MLOps/LLMOps Engineer at IVY Partners > Hybrid · Portugal · Senior · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Aivypartners%3A2622710 (read 2026-11-09). ## Facts (observed) - Company: [IVY Partners](https://alderhq.app/companies/ivy-partners) - Location text: Lisboa, Lisboa, Portugal - Where it can be done from (inferred): Hybrid · Portugal (evidence: "Location: Lisboa, Lisboa, Portugal") - Posted: 2026-06-01 (161 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ivy.partners/o/senior-mlopsllmops-engineer - Skills listed (inferred): TypeScript, Python, AWS, Azure, SQL, LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Lisbon, n 3): p25 €61k, median €63k, p75 €86k ## Description (the employer's text) ### Our Mission Ivy Partners is a Swiss consulting firm that helps companies navigate strategic, technological, and organizational challenges. We are committed to providing our employees with a career that supports both their personal and professional growth. We guide them in skill development and offer genuine opportunities for advancement. ### As a Senior ML Ops / LLM Ops Engineer at Ivy Partners, you will be responsible for - Designing and implementing ingestion pipelines for ML/LLM traffic in production - Constructing mechanisms for PII redaction and classifying safety/abuse - Setting architecture of storage, retention policies, and data governance - Implementing dashboards and query layers for operational debugging - Developing workflows for eval mining and regression detection - Integrating autoraters and LLM-as-judge pipelines - Building automatic triage mechanisms for failure detection - Ensuring the reliability, observability, and access control of the platform - Supporting scalable onboarding of multiple tenants - Making decisions on tooling and hosting (self-hosted vs managed SaaS) About You You are our ideal candidate if you: - Have extensive hands-on experience in ML Ops / Data Platform Engineering - Have proven experience with LLM systems in production - Possess a strong background in observability, tracing, and evaluation systems - Have excellent command of production-grade Python - Are knowledgeable in governance, PII handling, and regulated environments - Have experience with Azure and/or AWS - Are familiar with vector databases, eval pipelines, and failure analysis - Exhibit a pragmatic mindset and technical ownership from end-to-end - Are capable of operating critical systems with a focus on reliability - Have experience in multi-tenant SaaS environments - Have knowledge of SQL and TypeScript for dashboards - Have interest in modern AI tooling (Claude, OpenAI, GitHub, etc.). ### Why Join Ivy Partners? Care \| We care about our employees by creating a supportive environment where everyone is valued and empowered with training and growth prospects. Trust \| We believe in building strong and long-lasting relationships with our clients. Working with us is about establishing a partnership based on trust, professionalism, and transparency at all times. Innovation \| We empower effective digital transformation through a unique blend of innovative technology and creative thinking. Responsibility \| Community is at the heart of everything we do, and we take that responsibility seriously by working hard to create a positive impact. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Aivypartners%3A2622710 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.