At a Glance
- Tasks: Build and scale AI systems that make real-world impact in real estate.
- Company: Join one of the fastest-growing AI startups in the UK.
- Benefits: Equity options, high autonomy, and direct access to founders.
- Why this job: Work on cutting-edge AI tools and influence the future of planning.
- Qualifications: Strong Python and ML experience, with cloud and API skills.
- Other info: Dynamic environment with opportunities for rapid career growth.
The predicted salary is between 36000 - 60000 £ per year.
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.
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 work 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 you want to build AI systems that ship and scale, enjoy working across data, ML, and infrastructure, care about architectural quality and long-term leverage, and want upside, responsibility, and pace — not corporate drag.
Applied AI Engineer in Liverpool employer: SH Proptech Limited
Contact Detail:
SH Proptech Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those at Adema AI. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI, machine learning, or Python, make sure to highlight them. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of MLOps and cloud platforms. Be ready to discuss how you’ve deployed ML models in production — real examples will impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Applied AI Engineer in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Applied AI Engineer role. Highlight your Python expertise, MLOps experience, and any work with LLMs or cloud platforms. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for AI. Share why you're excited about working at Adema AI and how your background aligns with our goals. Keep it concise but impactful!
Showcase Relevant Projects: If you've worked on projects involving machine learning, data engineering, or AI systems, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at SH Proptech Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, MLOps, and the specific tools mentioned in the job description. Brush up on your experience with LLMs, FastAPI, and cloud platforms like Azure or AWS. Being able to discuss your hands-on experience confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world examples where you've deployed ML models or solved complex problems using AI. Think about how you can relate your past experiences to the challenges Adema AI is tackling, especially in planning and decision-making contexts.
✨Understand the Company’s Vision
Familiarise yourself with Adema AI's mission and the specifics of their platform. Be ready to discuss how your skills can contribute to their goals, particularly in building scalable AI systems and enhancing their existing tools. This shows genuine interest and alignment with their vision.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the role and the company. Inquire about their current projects, the tech stack they use, or how they envision the future of their AI systems. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.