Founding Machine Learning Engineer

Letly; Greater London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative fintech platform is seeking a talented AI/ML engineer to join their dynamic team. This role focuses on automating rental workflows and deploying AI models in production-grade applications. As part of a forward-thinking company, you'll work on cutting-edge technology, tackling large technical hurdles while championing best practices in software engineering. This is a unique opportunity to make a significant impact in a rapidly evolving industry, with a strong emphasis on collaboration and autonomy. If you're passionate about AI and eager to build first-of-its-kind software, this position is perfect for you!

Benefits

Competitive salary

Equity in the company

Annual performance-based compensation

Meritocratic progression opportunities

Qualifications

• Strong foundational software engineering knowledge, including OOP and system design.
• Experience with MLOps tools and practices, including CI/CD and cloud platforms.

Responsibilities

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

Skills

Software Engineering

Machine Learning

Deep Learning

MLOps

Data Structures

Algorithms

System Design

OOP

Education

Bachelor's Degree in Computer Science

Master's Degree in AI/ML

Tools

TensorFlow

PyTorch

Docker

Kubernetes

GCP

AWS

Azure

scikit-learn

LangChain

Job description

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

We recently closed a pre-seed round and are hiring one 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 focussed 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).
• Optimise 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 the 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.
• Stand-up the rule-evaluation core of the compliance microservice: JSONLogic/CEL engine to load rule set from Mongo and return pass/fail result.
• Wire a Pub/Sub sink to integrate with the rest of the system, emitting ComplianceDecision events, and land these in BigQuery for analytics.
• Light-up observability – deploy OpenTelemetry traces + Grafana dashboards, and config alerts for latency, failure %, override rate.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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