Founding Machine Learning Engineer

JR United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative fintech platform is seeking a talented Machine Learning Engineer to join their dynamic team in London. In this role, you will leverage your strong software engineering background to design, deploy, and maintain cutting-edge AI/ML models that address real-world challenges in the rental housing market. You will work in a collaborative environment, championing best practices in code quality and MLOps while tackling significant technical hurdles. This is a unique opportunity to make a substantial impact in a rapidly evolving industry while enjoying competitive compensation and equity in a forward-thinking company.

Benefits

Competitive salary

Equity in the company

Annual performance-based compensation

Meritocratic progression opportunities

Qualifications

• Strong foundational software engineering knowledge is essential.
• Experience with MLOps tools and practices is required.

Responsibilities

• Design, implement, and deploy production-grade AI/ML models.
• Collaborate with engineers to integrate AI models into the platform.

Skills

Software Engineering

Machine Learning

Deep Learning

MLOps

Data Structures

Algorithms

System Design

OOP

Tools

TensorFlow

PyTorch

LangChain

Keras

scikit-learn

Docker

Kubernetes

GCP

AWS

Azure

Job description

Social network you want to login/join with:

Founding Machine Learning Engineer, London

Client: Letly

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

4

Posted:

08.05.2025

Expiry Date:

22.06.2025

Job Description:

Company

Letly is an AI-Native vertical fintech platform focused on the rental housing market. We are automating rental workflows end-to-end and building a fintech platform to manage the trillions of dollars spent on rent globally.

We recently closed a pre-seed round and are hiring a talented AI/ML engineer with a strong software engineering background and a passion for deploying AI/ML models into real-world, production-grade applications.

Apply if:

• You have strong foundational software engineering knowledge, including data structures, algorithms, system design, and OOP.
• You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g., TensorFlow, PyTorch, LangChain, Keras, scikit-learn).
• You're ready to design, deploy, and maintain production-grade Machine Learning systems.
• You're willing to champion best practices in code quality, testing, observability, and MLOps.
• You have experience with MLOps tools and practices (CI/CD, Docker, Kubernetes) and cloud platforms (GCP, AWS, or Azure).
• You're a smart, intense, and focused individual willing to build things efficiently in a close team.
• You want to tackle large technical hurdles and build first-of-its-kind software using AI.

You will:

• Write high-quality, maintainable, well-documented, and tested code, adhering to software engineering best practices.
• Design, implement, and deploy production-grade AI/ML models to address various platform needs (including NLP and OCR).
• Optimize AI models and associated systems for performance, scalability, and cost-effectiveness in a production environment.
• Implement and manage the infrastructure for MLOps, including fine-tuning, deployment, monitoring, and versioning.
• Develop robust data pipelines for ingestion, cleaning, model training, and continuous deployment.
• Build retrieval-aware repositories for model training, evaluation, and real-time, context-rich inference.
• Collaborate closely with software engineers to integrate AI models seamlessly into the platform architecture using APIs.
• Be a key part of a high-performance, engineering, and product-led company with a high degree of autonomy and impact.

Compensation:

• Competitive salary and meaningful equity in the company.
• Annual performance-based compensation (cash and equity).
• Opportunity for true meritocratic progression in role and compensation.