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Senior Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in the PropTech SaaS industry, with a 6-month contract (extensions possible) at a pay rate of "£X per day." Required skills include strong Python, AWS experience, and expertise in deploying ML models.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
March 28, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Outside IR35
🔒 - Security clearance
Unknown
📍 - Location detailed
Greater London, England, United Kingdom
🧠 - Skills detailed
#AWS (Amazon Web Services) #Hugging Face #R #AI (Artificial Intelligence) #Transformers #Automation #"ETL (Extract #Transform #Load)" #Langchain #SaaS (Software as a Service) #Databases #Lambda (AWS Lambda) #ML (Machine Learning) #AWS Lambda #Python
Role description
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Senior Machine Learning Engineer – PropTech SaaS

Location: Hybrid (1–2 days per fortnight in London)

Start Date: ASAP

Contract Length: 6 Months (extensions available)

IR35 Status: Outside IR35

Industry: PropTech SaaS

Interview Process: 2 Stages (both virtual)

We are looking for a Senior Machine Learning Engineer to join a leading PropTech SaaS company at the forefront of AI-driven innovation. This role is perfect for an engineer with strong Python development skills and experience deploying ML models in an AWS environment. You will play a key role in developing intelligent solutions that enhance decision-making and automation in the property sector

.

Key Responsibiliti

   • esDevelop and deploy machine learning models within a Service-Oriented Architectur

   • e.Design and implement transformer models (Hugging Face) and fine-tune them for production us

   • e.Build and optimise retrieval-augmented generation (RAG) pipeline

   • s.Work with vector databases to improve data retrieval and recommendation system

   • s.Deploy models via APIs in AWS, leveraging services such as Lambda and SageMake

   • r.Contribute to application development using LangChain for AI-driven automatio

n.

Essential Skills & Experie

   • nceStrong Python development skil

   • ls.Experience with service-oriented application developme

   • nt.Proficiency in writing and optimising AWS Lambda functio

   • ns.Experience deploying machine learning models via APIs (AWS preferre

   • d).Hands-on expertise with transformers (Hugging Face) and fine-tuning mode

ls.

Desirable Experi

   • enceImplementing retrieval-augmented generation (RAG) in product

   • ion.Working with vector databases for search and recommendation syst

   • ems.Developing AI-powered applications using LangCh

ain.