Founding Machine Learning Engineer

Letly
Greater London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - RAG Experience - Founding Engineer

Machine Learning Engineer - RAG Experience - Founding Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Get AI-powered advice on this job and more exclusive features.

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 levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Letly by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

London, England, United Kingdom 3 days ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

Research Engineer, ML, AI & Computer Vision

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 week ago

Salfords, England, United Kingdom 3 days ago

London, England, United Kingdom 8 months ago

Machine Learning Engineer for Game Technology

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

Machine Learning and AI Engineering Lead

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

Machine Learning Scientists and Engineers: AI for Quantum

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 2 weeks ago

Research Engineer, ML, AI & Computer Vision

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

Senior Machine Learning Engineer, Pricing

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 months ago

Machine Learning Engineer - Content and Catalog Management

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 months ago

Machine Learning Software Engineer, Research

London, England, United Kingdom 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.

AI Engineer World’s Fair 2025: The Complete UK Guide to June’s Unmissable AI Engineering Event

If 2024 was the year every product team rushed to bolt an LLM onto their roadmap, 2025 is when the craft of AI engineering finally takes centre stage. From rapid-fire prompt iterations to robust eval pipelines, the discipline now demands the same rigour we once reserved for cloud infra or mobile apps. That is precisely why the AI Engineer World’s Fair, 3–5 June 2025 in San Francisco, matters more than any keynote or press release: it is the one place where the movers, makers and maintainers of production-grade AI swap battle-tested patterns in person. For UK technologists—and the recruiters who hire them—the Fair offers a rare chance to compress a year’s worth of learning, networking and tooling discovery into three intense days. Whether you are scaling RAG systems on Azure, bootstrapping an agentic start-up from your kitchen table, or simply hunting for your first AI engineer job, the sessions, workshops and hallway conversations can tilt your career trajectory. The guide that follows distils everything you need to know—programme highlights, travel hacks, ticket tips and post-event ROI—so you can decide if a flight across the Atlantic (or a virtual pass) is the smartest investment you’ll make this year.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.