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AI Engineer

The Flex

London

Remote

GBP 35,000 - 46,000

Full time

2 days ago
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Job summary

A leading rental tech company seeks an AI Engineer to innovate and develop AI-driven tools and models that enhance operations and customer experiences. This role involves collaborating with diverse teams, contributing to significant advancements in real estate technology, and offers growth in a dynamic, remote-first environment.

Benefits

Competitive salary and performance-based incentives
Flexible schedule
Growth-oriented culture

Qualifications

  • Clear communication and a proactive mindset needed.
  • Ability to thrive in a fast-paced environment.
  • Experience with AI/ML projects is a plus.

Responsibilities

  • Build and train machine learning models for various use cases.
  • Develop and integrate AI features into products.
  • Automate repetitive tasks using AI.

Skills

Problem-solving
Communication
Collaboration

Education

Degree in Computer Science or related field

Tools

AWS

Job description

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About The Flex

The Flex is on a mission to transform the global rental sector. We believe that renting a home should be as seamless as buying from Amazon. Our platform empowers tenants to rent anywhere in the world effortlessly, while providing landlords with hassle-free property management—without excessive fees. We are assembling a world-class team of ambitious, growth-minded individuals ready to scale The Flex into a global leader. We reward initiative and promote from within.

About The Flex

The Flex is on a mission to transform the global rental sector. We believe that renting a home should be as seamless as buying from Amazon. Our platform empowers tenants to rent anywhere in the world effortlessly, while providing landlords with hassle-free property management—without excessive fees. We are assembling a world-class team of ambitious, growth-minded individuals ready to scale The Flex into a global leader. We reward initiative and promote from within.

Position Summary

As an AI Engineer, you will be at the forefront of integrating artificial intelligence into The Flex’s systems. You’ll build, deploy, and optimize AI-driven tools and models that support operations, customer experience, automation, and decision-making. This is a high-impact role with the potential to shape the future of tech in the real estate industry.

Key Responsibilities

  • AI & ML Development: Build and train machine learning models for use cases like pricing optimization, Property Management Tools.
  • LLM Integration: Develop and integrate LLM-powered features (e.g., GPT APIs) into internal tools and customer-facing products.
  • Automation: Leverage AI to automate repetitive internal tasks, enhance support, and improve user experience.
  • Deployment: Package and deploy models into production using modern MLOps tools and cloud infrastructure (preferably AWS).
  • Collaboration: Work closely with engineers, product managers, and operations teams to identify and implement impactful AI opportunities.
  • Documentation & Maintenance: Ensure reproducibility, versioning, and continuous improvement of all AI models and pipelines.

What We’re Looking For

  • Strong problem-solving skills and a proactive mindset.
  • Clear communication and a collaborative attitude.
  • Ability to thrive in a fast-paced, remote-first startup environment.

Why Join The Flex?

  • Join an innovative company revolutionizing the real estate and hospitality space.
  • Play a key role in building AI products from the ground up.
  • Competitive salary and performance-based incentives.
  • Growth-oriented culture with fast career progression.
  • Work remotely with a flexible schedule and a dynamic team.

You Should Not Apply If

  • You are looking for a traditional corporate 9 to 5 job.
  • You engage in office politics or gossip.
  • You want a slow-paced role with no growth.
  • You do not strive to be world-class at what you do.

Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology

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