Few&Far

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 6-month contract, fully remote (UK only), offering £500-£550 per day. Key skills include Vertex AI, Python, FastAPI/Flask, MLOps, GCP, and experience in the insurance industry is a plus.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date
July 8, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Agile #GCP (Google Cloud Platform) #FastAPI #Leadership #Scala #Deployment #"ETL (Extract #Transform #Load)" #Azure #Flask #AI (Artificial Intelligence) #Cloud #Monitoring #ML (Machine Learning) #Python
Role description
🚨 4x Machine Learning Engineer Contract Opportunities 🚨 I'm partnering with a leading global insurance organisation to hire 4x Machine Learning Engineers for an exciting enterprise AI & Machine Learning transformation programme. 📍 Fully Remote (UK only) 💰 £500-£550 a day. 📅 6-month contract (should extend for another 6 months) ✅ Outside IR35 🚀 ASAP Start Please note: You must be UK-based and operate via an active Limited Company. Key experience required: ✔️ Vertex AI (essential) ✔️ Strong Python development skills ✔️ FastAPI and/or Flask ✔️ Production-grade MLOps and ML deployment ✔️ CI/CD pipeline development ✔️ GCP cloud infrastructure ✔️ Building and deploying scalable ML APIs and services ✔️ Experience taking ML models from proof of concept into production ✔️ Monitoring, maintaining and optimising deployed ML models ✔️ Strong understanding of the end-to-end Machine Learning lifecycle ✔️ Experience mentoring junior engineers and providing technical leadership ✔️ Strong stakeholder management and communication skills Nice to have: ➕ Azure experience ➕ Experience building Platform-as-a-Service (PaaS) solutions ➕ Cloud networking and data modelling knowledge ➕ Agile delivery experience ➕ Insurance industry experience This is an excellent opportunity to join a globally recognised organisation and play a key role in building the next generation of enterprise Machine Learning capabilities. Please apply below if you are interested!