Machine Learning Engineer

Job description

Machine Learning Engineer (LLMs)

👋 About Us

Travtus is an AI R&D Company based in London, developing AI solutions for the Residential Real Estate industry. Through our data platform and applications, we are delivering automation and front-line intelligence through natural conversation and changing how real estate is operated, bringing automation for businesses and world-class customer service to renters.

📢 About the Role

As a Machine Learning Application Engineer in the team, you will be involved in Application Development, implementing and fine-tuning LLMs and Transformer Models. Primarily a delivery function, you will work closely with Analysts and Engineers to breathe life into our products.

This is a role for an experienced Machine Learning Engineer who works hands-on fine-tuning and deploying LLMs and data models into production within a commercial setting.

🔥 Key Responsibilities
  • Design, implement and maintain Machine Learning Model pipelines
  • Train and fine-tune LLMs
  • Define infrastructure requirements and architecture for Model Training and Inference
  • Measure and review the performance of production models, performing evaluation and tuning
  • Work closely as a part of the software development team to deploy models into production

😊 Must-Have Requirements
  • Have deep, expert-level experience with Python development 
  • Established application development experience in Service Oriented Architectures
  • Experience implementing Transformers (ideally, HuggingFace)
  • Fine-tuned Transformer Models (ideally with AWS Sagemaker but not essential)
  • Experience deploying models and hosting via an API (AWS is preferred)
  • Experience writing AWS Lambda functions

🔥 Nice-to-Have Requirements
  • Experience building applications in Langchain
  • Experience implementing Retrieval Augmented Generation
  • Experience working with Vector Databases

🎁 Compensation, Perks & Benefits
  • £75,000 - 100,000 base salary (salary assessment will be primarily based on experience)
  • Deliveroo weekly budget
  • AXA healthcare

👯About the Team

Our team is a multi-disciplinary team of experts with everyone contributing their own area of specialism; from infrastructure to knowledge graphs, Real Estate Operations to dialogue design. 

Working in a truly collaborative style, where everyone is heard and brings something valuable to the conversation allows us to push the boundaries in this new technology area. We are fundamentally challenging the way one of the largest industries in the world operates, and our commercial success pays testament to the skill, commitment and passion that our team displays every day.

Apply now and help us shape the future of AI

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