MLOps Engineer

The Joblogic Story

Established in 1998, Joblogic is the UK’s #1 Field Service Management (FSM) software platform. We are a global business with offices in the UK, Pakistan, and Vietnam. Since our management buy-out in 2013, we have grown from ~£500K ARR to ~£35M+ ARR and expanded our team from 11 to 500+ people.

Recently, we secured a strategic growth investment from Vista Equity Partners — a global technology investor specialising in enterprise software. This investment includes over £100 million in new primary capital and will fuel our next phase of growth by accelerating our AI-first roadmap, expanding our platform into CAFM (Computer-Aided Facilities Management) capabilities, and supporting our expansion across Europe and beyond.

With Vista’s backing, we’re transforming from a successful UK business into a global scaling SaaS rocket ship, and we’d love for you to join us on our journey to £100M ARR across international markets.

Joblogic provides software to service contractors who install and maintain the built environment. Our platform helps businesses streamline operations, improve profitability, ensure compliance, and achieve rapid growth. With over 100,000 users across industries including HVAC, plumbing, electrical maintenance, facilities management, and building fabric maintenance, we are entering a new era of intelligent automation, predictive maintenance, and data-driven decision-making for service firms.

About the Role 

We are building Joblogic’s AI Agent Platform — a multi-tenant system for designing, versioning, evaluating, and running AI agents that handle customer conversations over email, voice, SMS, and WhatsApp on behalf of our customers. It runs on a Python/FastAPI service estate (API, Celery workers, knowledge-base worker, voice gateway, service-bus listener) and React portals, hosted on Azure Container Apps, a sizeable Linux VM fleet across Azure and AWS, Databricks, and a set of vendor platforms. 

We are looking for a DevOps Engineer to own how all of it is deployed, kept running, secured, and paid for. You will be the go-to engineer for anything that runs, deploys, or costs money across Azure, AWS, and Databricks, and you will build the release and observability machinery that lets the team ship agent versions and machine learning models safely and roll them back in one step when they misbehave. 

To be clear about the bar: deep strength in Linux and cloud infrastructure is what we are hiring for and is not negotiable. The MLOps and LLMOps side matters just as much to the role, but if your experience there is lighter than your infrastructure experience, we would still like to hear from you — we will invest in building it.