Senior MLOps Engineer - AI Infrastructure

Harnham; Greater London; Hybrid; GBP 51,000 - 85,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Harnham is seeking a Senior MLOps Engineer to own the AI platform infrastructure powering production ML services. You’ll build orchestration pipelines with Dagster/Airflow, deploy workloads on Kubernetes, and develop tooling in Python.

Role focuses on Terraform automation, robust monitoring, and scaling ML/LLM/text analytics workloads in a hybrid London setting. Strong cloud and ML ops experience required.

Qualifications

• Experience in operating ML platforms and AI services.
• Ability to build and maintain orchestration pipelines.
• Proven track record deploying scalable workloads on cloud infra.
• Strong scripting and platform tooling capabilities.

Responsibilities

• Own the AI platform infrastructure powering production ML services.
• Build orchestration pipelines using Dagster, Airflow or similar tools.
• Deploy workloads with Kubernetes and cloud-native infra.
• Develop platform tooling in Python.
• Implement Terraform infrastructure and automation.
• Establish monitoring, observability and reliability standards.
• Support deployment and scaling of ML, LLM and text analytics apps.

Skills

Monitoring

Observability

Machine Learning

LLM

Text Analytics

Tools

Dagster

Airflow

Kubernetes

Python

Terraform

Job description

Want to build AI systems that directly influence real-world outcomes?

Enjoy solving infrastructure and scalability challenges across ML, NLP and emerging AI products?

Looking for ownership of an AI platform used across a growing customer base?

We're partnered with a mission-led AI company whose technology helps public sector organisations identify vulnerable individuals earlier and make more informed intervention decisions. Their platform combines predictive analytics, machine learning and AI to support frontline services across multiple domains. Following continued growth, they're investing in their core AI engineering function and are looking for a Senior MLOps Engineer to help scale the infrastructure behind the platform. This is an opportunity to join a small, high-impact team where you'll have significant influence over architecture, deployment and platform standards.

Role Summary

As a Senior MLOps Engineer, you'll own the infrastructure backbone that powers the company's AI services, ensuring models and applications are deployed, monitored and scaled reliably. You'll work across predictive modelling, text analytics and future AI initiatives, building the systems that enable engineering teams to ship confidently.

Key Responsibilities

• Own and evolve the core AI platform infrastructure supporting production ML services.
• Build and maintain orchestration pipelines using Dagster, Airflow or similar tooling.
• Deploy and manage workloads using Kubernetes and cloud-native infrastructure.
• Develop platform tooling and services in Python.
• Implement and maintain Terraform infrastructure and automation.
• Establish robust monitoring, observability and platform reliability standards.
• Support the deployment and scaling of machine learning, LLM and text analytics applications.

Salary: Up to £85,000 + 10% bonus

Working Model: Hybrid, 1-2 days per week onsite in Central London

Visa Sponsorship: Exceptional candidates only