ComplyAdvantagePosted 1 month ago

Principal Machine Learning Engineer

ComplyAdvantagePosted 1 month ago

$92,000–$115,000 year

HybridLisbon, Lisbon, Portugal

Lisbon, Lisbon, PortugalHybridFull Time$92,000–$115,000 yearSenior LevelFinancial TechnologyMedium

Full TimeSenior LevelMediumFinancial Technology

Job Summary

Architect the company-wide MLOps and agentic AI platforms, covering training, evaluation, serving, feature/vector stores, and agent orchestration. Translate ML and agentic AI roadmaps into scalable engineering deliverables while enforcing data governance frameworks and compliance standards. Set the engineering bar for code quality, rigorous evaluation design, operational standards, and CI/CD pipelines. Lead end-to-end build-out of AI systems including LLMs, RAG, multi-agent systems, and graph neural networks. Represent the organization at conferences and industry forums. This role requires deep production Python experience, cloud expertise on AWS and GCP, and event-driven architecture skills. The Principal Machine Learning Engineer reports to the VP of Engineering and works within a hybrid model requiring two days in the office.

Required Qualifications

Substantial experience building, training and productionising machine learning models at scale, including modern deep learning and large language model approaches
Deep production Python experience
Strong software engineering fundamentals (design patterns, event-driven architectures, observability)
Strong mathematical and statistical foundations
Experience leading the architectural design of MLOps platforms: training pipelines, feature and vector stores, serving infrastructure, and drift and performance monitoring
Experience with cloud (GCP and AWS)
Experience with containerised infrastructure (Kubernetes, Docker, ArgoCD, Argo Workflows)
Experience with event brokers (Kafka)
Experience with modern data engineering workflows (batch, streaming, ETL)
Experience turning a directing scientist's or product owner's brief into ML work that ships and delivers measurable value
Experience pushing back where feasibility, data quality or risk make stated goals unrealistic
Excellent written and verbal communication
Experience engaging senior stakeholders and engineers
Experience producing technical documentation people can act on
A track record of coaching ML engineers at every level
Experience helping Recruiting improve the hiring process
Experience applying ML, LLMs and agentic AI in AML, KYC, fraud, TegTech or another regulated domain
Familiarity with knowledge graphs, entity resolution, link analysis and temporal reasoning over relationship data
Experience designing evaluation frameworks for LLM and agentic systems, including safety, accuracy and operational guardrails
External profile in the ML community: speaking at conferences, contributing to publications or open-source projects
Experience with relational database technologies, notably Postgres, Yugabyte
Experience with TypeScript/ES6+React for frontend stack
Experience with modern observability solutions from Grafana Cloud
Experience deploying code using ArgoCD
Experience with gRPC for intra-service communication protocol
Experience with feature/vector stores
Experience with agent orchestration
Experience with retrieval augmented generation (RAG)
Experience with graph neural networks
Experience with multi-agent systems
Experience with LLMs
Experience with deep learning
Experience with large language model approaches
Experience with event-driven architectures
Experience with observability
Experience with design patterns
Experience with training pipelines
Experience with serving infrastructure
Experience with drift and performance monitoring
Experience with batch workflows
Experience with streaming workflows
Experience with ETL
Experience with Kubernetes
Experience with Docker
Experience with Argo Workflows
Experience with Kafka
Experience with Postgres
Experience with Yugabyte
Experience with TypeScript
Experience with ES6+React
Experience with Grafana Cloud
Experience with gRPC
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning over relationship data
Experience with evaluation frameworks for LLM and agentic systems
Experience with safety guardrails
Experience with accuracy guardrails
Experience with operational guardrails
Experience with conferences
Experience with publications
Experience with open-source projects
Experience with coaching ML engineers
Experience with improving the hiring process
Experience with AML
Experience with KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with ML
Experience with LLMs
Experience with agentic AI
Experience with deep learning
Experience with large language models
Experience with event-driven architectures
Experience with observability
Experience with design patterns
Experience with training pipelines
Experience with feature stores
Experience with vector stores
Experience with serving infrastructure
Experience with drift monitoring
Experience with performance monitoring
Experience with batch processing
Experience with streaming processing
Experience with ETL
Experience with Kubernetes
Experience with Docker
Experience with ArgoCD
Experience with Argo Workflows
Experience with Kafka
Experience with Postgres
Experience with Yugabyte
Experience with TypeScript
Experience with React
Experience with Grafana Cloud
Experience with gRPC
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety guardrails
Experience with accuracy guardrails
Experience with operational guardrails
Experience with conferences
Experience with publications
Experience with open-source projects
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering
Experience with mathematical foundations
Experience with statistical foundations
Experience with MLOps platforms
Experience with architectural design
Experience with ML work
Experience with measurable value
Experience with feasibility
Experience with data quality
Experience with risk
Experience with stakeholders
Experience with engineers
Experience with technical documentation
Experience with ML engineers
Experience with Recruiting
Experience with AML/KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching ML engineers
Experience with improving hiring
Experience with ML
Experience with LLMs
Experience with agentic AI
Experience with AML
Experience with KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering
Experience with mathematical foundations
Experience with statistical foundations
Experience with MLOps platforms
Experience with architectural design
Experience with ML work
Experience with measurable value
Experience with feasibility
Experience with data quality
Experience with risk
Experience with stakeholders
Experience with engineers
Experience with technical documentation
Experience with ML engineers
Experience with Recruiting
Experience with AML/KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering
Experience with mathematical foundations
Experience with statistical foundations
Experience with MLOps platforms
Experience with architectural design
Experience with ML work
Experience with measurable value
Experience with feasibility
Experience with data quality
Experience with risk
Experience with stakeholders
Experience with engineers
Experience with technical documentation
Experience with ML engineers
Experience with Recruiting
Experience with AML/KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering
Experience with mathematical foundations
Experience with statistical foundations
Experience with MLOps platforms
Experience with architectural design
Experience with ML work
Experience with measurable value
Experience with feasibility
Experience with data quality
Experience with risk
Experience with stakeholders
Experience with engineers
Experience with technical documentation
Experience with ML engineers
Experience with Recruiting
Experience with AML/KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering
Experience with mathematical foundations
Experience with statistical foundations
Experience with MLOps platforms
Experience with architectural design
Experience with ML work
Experience with measurable value
Experience with feasibility
Experience with data quality
Experience with risk
Experience with stakeholders
Experience with engineers
Experience with technical documentation
Experience with ML engineers
Experience with Recruiting
Experience with AML/KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering
Experience with mathematical foundations
Experience with statistical foundations
Experience with MLOps platforms
Experience with architectural design
Experience with ML work
Experience with measurable value
Experience with feasibility
Experience with data quality
Experience with risk
Experience with stakeholders
Experience with engineers
Experience with technical documentation
Experience with ML engineers
Experience with Recruiting
Experience with AML/KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering
Experience with mathematical foundations
Experience with statistical foundations
Experience with MLOps platforms
Experience with architectural design
Experience with ML work
Experience with measurable value
Experience with feasibility
Experience with data quality
Experience with risk
Experience with stakeholders
Experience with engineers
Experience with technical documentation
Experience with ML engineers
Experience with Recruiting
Experience with AML/KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering
Experience with mathematical foundations
Experience with statistical foundations
Experience with MLOps platforms
Experience with architectural design
Experience with ML work
Experience with measurable value
Experience with feasibility
Experience with data quality
Experience with risk
Experience with stakeholders
Experience with engineers
Experience with technical documentation
Experience with ML engineers
Experience with Recruiting
Experience with AML/KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering
Experience with mathematical foundations
Experience with statistical foundations
Experience with MLOps platforms
Experience with architectural design
Experience with ML work
Experience with measurable value
Experience with feasibility
Experience with data quality
Experience with risk
Experience with stakeholders
Experience with engineers
Experience with technical documentation
Experience with ML engineers
Experience with Recruiting
Experience with AML/KYC
Experience with fraud
Experience with TegTech
Experience with regulated domains
Experience with knowledge graphs
Experience with entity resolution
Experience with link analysis
Experience with temporal reasoning
Experience with evaluation frameworks
Experience with safety
Experience with accuracy
Experience with operational guardrails
Experience with ML community
Experience with speaking
Experience with contributing
Experience with open-source
Experience with coaching
Experience with hiring
Experience with ML models
Experience with productionising ML models
Experience with deep learning models
Experience with large language model approaches
Experience with Python
Experience with software engineering

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