Senior ML/AI Engineer

Ocho People; Belfast City District; On-site; 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

Senior ML/AI Engineer

• Senior ML engineering role combining hands-on model development with production system ownership at genuine scale
• LLM/RAG, NLP, and streaming ML pipelines processing millions of items daily
• AWS-native (Lambda, ECS, SageMaker, MSK, Kafka), strong Python required
• £65,000-£75,000
• High-impact role across AI Insights, Automated Answers, and mission-critical Machine Moderation systems

About the Company

Our client is a global technology company building smart shopping experiences, connecting thousands of brands and retailers with billions of consumers through enterprise-grade content and insight tools. Recognised as a Great Place to Work across multiple regions including the UK, they operate at serious scale with a strong engineering culture.

Role Overview

We're looking for a Senior ML/AI Engineer to join a Machine Learning team responsible for critical AI-powered services. This is a hands-on role spanning model development and production maintenance in a fast-paced, data-rich environment. You'll work across LLM/RAG architectures, NLP-based content moderation, and high-volume streaming pipelines, with real ownership of systems processing millions of reviews, questions, and answers daily.

Key Responsibilities

• Develop and enhance AI 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

What You'll Need

Essential:

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

Desirable:

• Familiarity with ML orchestration platforms and CI/CD pipelines
• Knowledge of streaming technologies (Kafka) and high-volume data processing
• Strong Software Engineering or Computer Science background
• Willingness to work with Scala-based systems

Benefits & Package

• £65,000-£75,000
• Flexible office attendance - hybrid working available
• Global business with genuine scale and international exposure
• High-impact, research-oriented ML work at production scale

You must currently reside in Northern Ireland.

Get in touch with Colin directly at