Lead Machine Learning & AI Engineer

Haywards Heath Source: WhatJobs

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Overview

In this Lead ML/AI role, you will drive the design and delivery of production-ready ML and AI capabilities within our Data & Analytics function. You’ll mentor a small team of ML Ops, analytics, and AI engineers while partnering with Data Science, Pricing, Data Engineering and Software Development to embed AI across business processes. The role is hybrid and primarily home-based, with occasional office days. You’ll shape standards, advance data pipelines, and promote responsible, scalable AI solutions that support strategic decisions in insurance.

Pay / Benefits

flexible hybrid work arrangement
home-based with monthly office day
career growth and leadership opportunities
collaborative, high-impact environment

Responsibilities

Develop and evolve ML/AI engineering standards and frameworks
Enhance data pipelines and infrastructure for scaled ML/AI solutions
Support model development with emphasis on auditability, versioning, and data security
Design and implement AI Ops on Azure
Optimize deployment of ML/AI scoring code in production
Manage CI/CD and deployment/versioning of numerous models
Monitor model quality and performance to prevent degradation
Provide coaching and leadership to ML Ops/AI engineers and collaborate with data scientists, engineers, and software teams
Engage with senior stakeholders to drive data-driven business improvements
Lead system design discussions and share knowledge across the engineering community

Key requirements

Extensive experience building end-to-end platform/ML DevOps/data engineering solutions
Experience integrating cloud-based systems via APIs
Proven track record in ML/AI system development and maintenance
Experience with agile methods in data science/ML/AI settings
Experience designing/managing CI/CD for data science
Exposure to ML/AI methodologies and best practices
Coaching/leadership experience
Financial/insurance industry experience is advantageous
Strong communication and organizational skills
Ability to diagnose and troubleshoot quickly
Bachelor’s or Master’s degree in a relevant field
Fluent in Python; proficiency with PyTorch/TensorFlow
Deep Azure expertise (Azure ML, Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory)
Proficient in MLOps frameworks in production