Senior ML/AI Engineer - Hybrid, Production-Scale NLP & LLM

Ocho People; Belfast City District; Hybrid; GBP 65,000 - 75,000; Full time

Benefits offered by this job

Hybrid work

Global exposure

High-impact ML work

Job summary

Ocho People in Belfast, Northern Ireland, is seeking a Senior ML/AI Engineer to own end-to-end ML services from model development to production. You'll work on LLM/RAG, NLP content moderation, and streaming pipelines processing millions of items daily.

The role emphasizes hands-on development, AWS-native architecture (Lambda, ECS, SageMaker) and CI/CD with GitHub Actions. You'll collaborate with Scala teams and implement IaC with Terraform, while monitoring models with observability tools.

Qualifications

• Strong Python proficiency for ML development and deployment.
• Experience with AWS cloud services (Lambda, ECS, SageMaker, MSK, SNS, SQS).
• Experience with NLP, LLMs, and production ML monitoring tools.

Responsibilities

• Develop and enhance ML services including AI Insights and AI Automated Answers using LLM/RAG architectures
• Maintain and optimise the mission-critical Machine Moderation system, built on Python NLP models deployed on AWS (Lambda, ECS, SageMaker, SQS, SNS)
• Train, evaluate, and monitor ML models using orchestration tools such as Flyte or Airflow
• Manage ML pipelines on AWS with containerised services and CI/CD via GitHub Actions
• Implement streaming data processing with Kafka for real-time content moderation
• Monitor model performance and drift using observability tools such as Arize AI
• Collaborate with Scala-based service teams and maintain API integrations for model serving
• Conduct architectural reviews for ML pipeline design and Infrastructure as Code (Terraform)
• Research and implement novel LLM/NLP approaches for content moderation and consumer insights

Skills

Python

AWS

NLP/LLM

Tools

Flyte

Airflow

Kafka

Terraform

GitHub Actions

Job description

Ocho People in Belfast, Northern Ireland, is seeking a Senior ML/AI Engineer to own end-to-end ML services from model development to production. You'll work on LLM/RAG, NLP content moderation, and streaming pipelines processing millions of items daily.

The role emphasizes hands-on development, AWS-native architecture (Lambda, ECS, SageMaker) and CI/CD with GitHub Actions. You'll collaborate with Scala teams and implement IaC with Terraform, while monitoring models with observability tools.