Machine Learning Engineer MLOps Python LLM AWS

Overview

In this senior, hands-on role you will lead ML activities within the Insights and Data Analytics Team, from concept to production. You define the technical ML roadmap, evaluate architectures, and scale data pipelines to deliver actionable insights in a cloud-based product. You’ll build and maintain ML infrastructure that enables rapid iteration and reliable deployment. This is a hands-on leadership position with a modern Python/AWS stack and a focus on production-ready systems.

Pay / Benefits

• salary up to 90k
• WFH office budget
• mainly remote with occasional London meetings
• tailored personal flexible benefits package

Responsibilities

• Lead ML activities from conception to deployment within the team
• Define the ML roadmap and evaluate architectures
• Optimize data pipelines and ML features for production use
• Build and scale ML infrastructure to enable product iteration and growth
• Collaborate with cross-functional partners and mentor junior engineers
• Deliver production-ready services and high-throughput APIs
• Promote software engineering best practices (TDD, Pair Programming)
• Communicate progress and technical direction to senior stakeholders

Key requirements

• Strong Python skills
• Experience with AWS and moving models from development to production
• MLOps experience
• Experience training, deploying and supporting non-LLM models and LLM services in production
• Designing high-throughput APIs and data management solutions
• Knowledge of software engineering best practices (TDD, Pair Programming)
• Collaborative mindset with mentoring and stakeholder communication
• Bachelor in Computer Science or closely related discipline from a top-tier university

• collaborative
• mentoring
• communication with senior stakeholders
• Python
• AWS
• MLOps

Full job description from WhatJobs. Apply for this role →