Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 12-month remote contract, offering £500-£600/day. Key skills include strong Python, DBT, Airflow, and experience in GenAI solutions with commercial impact in fast-paced SaaS environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
682
🗓️ - Date discovered
May 17, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
London, England, United Kingdom
🧠 - Skills detailed
#Airflow #Data Science #ML (Machine Learning) #SaaS (Software as a Service) #Data Engineering #dbt (data build tool) #NLP (Natural Language Processing) #CRM (Customer Relationship Management) #Apache Airflow #Python #SQL (Structured Query Language) #Scala #"ETL (Extract #Transform #Load)"
Role description
Machine Learning / GenAI Engineer - Remote | £500-£600/day | 12-Month Contract We're working with a fast-growing SaaS company looking to bring on a hands-on Machine Learning / GenAI Engineer to help build scalable, production-grade systems that power their sales and customer success operations. This is a 12-month remote contract where you'll be working within a mature data science and engineering team focused on operational ML and GenAI solutions - not just notebooks, but fully integrated tools delivering business value across the funnel. Candidates must have experience of producing GenAI solutions with a tangible business impact. What you'll be working on: • ML models for lead scoring, churn prediction, and partner matching • GenAI pipelines for summarising customer conversations and surfacing insights in CRM • Building and deploying production-ready Python code • Developing ETL workflows and model pipelines using DBT and Airflow • Supporting internal reps with smart tools directly embedded in their workflows Required Experience: • Strong hands-on Python (production code, not just prototyping) • Experience with DBT, Airflow, and general ETL/data engineering • Exposure to RAG systems, NLP, and GenAI tooling • Ability to build ML solutions that scale across large user bases (100k+) • Demonstrated commercial impact (e.g., reducing churn, increasing MRR) • Experience in fast-paced SaaS / GTM environments Contract Details: • Length: 12 months • Rate: £500-£800/day (depending on experience) • Location: Fully remote • Start Date: ASAP If interested, please send your CV Desired Skills and Experience DBT Apache Airflow CI/CD RAG (Retrieval-Augmented Generation) ETL Pipelines SQL