At a Glance
- Tasks: Join a dynamic team to develop AI solutions for property acquisition and enhance data-driven decision-making.
- Company: Innovative property development company at the forefront of technology and real estate.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Make a real impact in a high-tech environment while working on exciting AI projects.
- Qualifications: Strong Python skills, data instincts, and some commercial experience in tech roles.
The predicted salary is between 35000 - 45000 £ per year.
Salary: £35-45k
North London (4 days in the office & 1 day working from home)
I am working with a specialist UK property acquisition and development company - acquiring and developing assets across a variety of sectors. They work at the intersection of data, technology, and real estate, using proprietary tooling to find and execute the right deals faster than anyone else in the market.
Our Innovation & AI function was built from scratch and sits at the heart of how the business operates. It's a small, high-impact team that has already made a measurable difference - now they need to grow it.
The Innovation & AI Lead has built a strong technical foundation and a pipeline of ambitious projects. This hire is about giving that function the engineering firepower to scale - and making sure the AI Lead doesn't become the bottleneck.
This is a hands-on Python engineering role. Projects in flight and on the roadmap include:
- A property scoring model - using machine learning to grade acquisition opportunities based on multiple data points: demographics, planning classification codes, textual property data (via LLM), and satellite imagery. The goal is to help the team triage a high volume of on-market properties intelligently.
- An early-warning intelligence pipeline - monitoring local news sources, surfacing opportunities before they reach the open market.
- Contact enrichment and GTM tooling - building pipelines to find and qualify operators across target sectors, using tools like Clay and custom data ingestion workflows.
- LLM and LangChain pipelines - filtering, analysing, and enriching property and operator data at scale.
- Salesforce development and integration - the business runs a heavily bespoke Salesforce instance (not standard objects) and needs someone who can use AI-assisted development to reduce reliance on expensive external developers.
Requirements:
- Strong Python - clean, production-ready code you can own end-to-end
- Solid data instincts - SQL or equivalent, pipeline design, data modelling
- Self-directed - you ship, iterate, take ownership, and communicate clearly to non-technical stakeholders
- Some commercial experience - at least 6 months to a year in a professional environment (recent graduates with strong placement/internship experience considered)
- Machine learning model development - classification, scoring models
- Salesforce - even at the level of being comfortable using AI tools to develop in Apex
- Familiarity with Microsoft Power Platform
Technisch engineer. employer: Xcede
Join a forward-thinking property acquisition and development company in North London, where innovation meets real estate. As a Technisch Engineer, you'll be part of a dynamic team that thrives on collaboration and creativity, with opportunities for professional growth and the chance to work on cutting-edge AI projects. Enjoy a flexible work environment with four days in the office and one day working from home, all while contributing to impactful solutions that shape the future of the industry.
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We think this is how you could land Technisch engineer.
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We think you need these skills to ace Technisch engineer.
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Xcede. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Xcede
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
