Applied AI Engineer

SH Proptech Limited; Bristol; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading AI startup in the UK seeks an Applied AI Engineer to help scale its intelligence layer. In this core technical role, you will work on production AI systems, designing the next generation of models and services. The ideal candidate brings strong Python and machine learning experience, with a focus on deploying and scaling AI systems. You will collaborate directly with the founding team and influence architectural decisions in a fast-paced, innovative environment.

Benefits

Equity opportunities

Direct access to founders

High-autonomy engineering culture

Qualifications

• Strong Python experience across data engineering and machine learning.
• Hands-on experience with LLMs / applied NLP.
• Experience deploying ML models into production environments.

Responsibilities

• Create production MLOps pipelines for training, evaluation, and deployment.
• Develop LLM-powered workflows for planning and decision support.
• Work on graph-based ML models linking various data.

Skills

Strong Python experience across data engineering and machine learning

Experience deploying ML models into production environments

Hands-on experience with LLMs / applied NLP

Strong SQL skills and experience with structured & semi-structured data

Experience with FastAPI, REST APIs, and microservices

Cloud experience (Azure, GCP, or AWS)

Familiarity with CI/CD and modern DevOps workflows

Job description

Applied AI Engineer

Adema AI – Real Estate & Planning Intelligence

📍 London / Hybrid / Remote (UK & EU)

About Adema AI

Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory.

We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making.

What you see live today is only part of the picture.

Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them.

👉 Platform overview: https://adema.ai/

The Role

We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates.

This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform.

You’ll directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction.

What You’ll Be Working On

• Production MLOps pipelines for training, evaluation, and deployment
• LLM-powered workflows for planning, site intelligence, and decision support
• Graph-based ML models linking spatial, regulatory, demographic, and market data
• A growing recommendation engine and inference services (separate ML services, not monoliths)
• Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis
• Microservice APIs (FastAPI or similar) connecting data, ML inference, and product
• Cloud-native AI infrastructure across Azure / GCP / AWS
• Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems

This is not a research-only role — everything you build is designed to ship and scale.

What We’re Looking For

Core Requirements

• Strong Python experience across data engineering and machine learning
• Experience deploying ML models into production environments
• Hands-on experience with LLMs / applied NLP
• Strong SQL skills and experience with structured & semi-structured data
• Experience with FastAPI, REST APIs, and microservices
• Cloud experience (Azure, GCP, or AWS)
• Familiarity with CI/CD and modern DevOps workflows

Highly Desirable

• Graph data, network analysis, or GNNs
• Spatial / geospatial data experience
• Containerisation (Docker / Podman)

Equity & Upside

• Warrants are available for the right candidate
• This role offers real upside, aligned with platform growth and adoption
• Early impact, genuine ownership, and exposure to product, commercial, and strategic decisions

Why Join Adema AI

• One of the fastest-growing AI startups in the UK
• Rapidly expanding real-world user base — your work is used immediately
• Build serious AI infrastructure, not slideware or demos
• Direct access to founders and decision-makers
• Solve complex, meaningful problems at the intersection of AI, planning, and real estate
• High-autonomy, high-trust engineering culture

Who This Is For

You’ll thrive here if we:

• Want to build AI systems that ship and scale
• Enjoy working across data, ML, and infrastructure
• Care about architectural quality and long-term leverage
• Want upside, responsibility, and pace — not corporate drag