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MLOps Platform Developer / Full:Stack AI Engineer
London
Posted about 7 hours ago
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Job Title: MLOps Platform Developer
Location: London
Salary: Depending on experience
Job Type: Full time, Permanent
This is a rare opportunity to be first in the door to continue the development of our engineering platform.
You will own a production system end to end: the web application, the database estate, the data pipelines, the deployments, the integrations and the LLM serving stack.
What's involved?
- Genuine full-stack breadth in one codebase: a React/TypeScript application, a Postgres estate with 100 million row telemetry tables, serverless functions, MQTT ingestion from building management systems.
- LLM model training in the specialist fields our clients value most. It could be a housing estate's network or a shopping centre, each LLM is tailored to their exact use case.
- Neural LLM-assisted engineering at the sharp end: coding agents are a first-class part of how the platform is built, and you will get very good at directing them, verifying them and knowing where they lie.
- Operational technology: BACnet, Trend, JACE and Tridium controls, data points all working together to optimise and commission real engineering systems.
- The energy transition, concretely: heat networks are central to UK decarbonisation and growing fast; the domain knowledge you build here is scarce and compounding.
- Small company reality: direct access to clients, sites, commercial decisions and the CEO, we are a bureaucracy-free organisation with a clear delivery and results focus.
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What You Will Do
- Operate the LLM estate: run LoRA fine-tuning cycles and evaluation gates on Elevate's GPU hardware, manage vLLM serving (including multi-adapter deployments) alongside production, promote or roll back model versions on the gate results, and keep the serving watchdogs healthy. The CEO retains model direction; this role owns the running of the pipelines.
- Develop, deploy and maintain the web application (React, TypeScript, Vite) and its offline-first engineer mobile surface, with serverless functions on Vercel and Database including the email-ingestion and messaging pipelines.
- Own the data layer: Postgres on Database schema design, row-level security for tenant isolation, SQL functions, materialized views, scheduled jobs, query performance at telemetry scale.
- Run the telemetry pipeline: MQTT ingestion from site BMS equipment, collector services, data-quality rollups, retention, and the monitoring that guards them.
- Test and verify to the house standard: every change exercised end-to-end against production, the automated invariants suite kept green and extended with each feature.
About You
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Qualifications and experience:
Essential
- Degree in computer science, software engineering or a related discipline, or demonstrably equivalent professional experience.
- ML operations capability: comfortable operating model-serving infrastructure and running established training and evaluation pipelines on Linux/GPU hardware - process management, resource monitoring, versioned promote/rollback. Training pipelines exist and are documented; you must be able to run, monitor and recover them, not design them from scratch.
- Five or more years building and running production web applications full-stack, with sole or lead ownership of at least one system in live use.
- Strong TypeScript and React; strong SQL and relational schema design on PostgreSQL, including performance work on large tables.
- Serverless or cloud deployment experience (Vercel, AWS Lambda, Cloudflare Workers or similar) and comfort operating what you ship - logging, monitoring, incident response.
- API integration experience against third-party systems (REST, OAuth2/JWT, webhooks), including at least one messy real-world system of record.
- Python for scripting, data processing or pipeline work.
Preferable
- Deeper LLM experience: fine-tuning methodology, corpus design, evaluation-harness construction, vLLM i
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Skills
MLOps
React
TypeScript
PostgreSQL
Python
vLLM
LoRA Fine-tuning
Serverless Functions
MQTT
API Integration
SQL Schema Design
Linux/GPU Hardware
Vite
Vercel
Data Pipelines
Model Serving
Location