9NEXUS

AI Architect (Contract) UK Remote | Outside IR35 | £400/day |

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Architect (Contract) UK Remote, with a contract length of unspecified duration and a pay rate of £400/day. Key skills include experience with Palantir Foundry, PySpark, cloud platforms, and AI/ML algorithms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
400
-
🗓️ - Date
February 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Palantir Foundry #AI (Artificial Intelligence) #Scala #GCP (Google Cloud Platform) #Hadoop #ML (Machine Learning) #PyTorch #Compliance #Data Science #AWS (Amazon Web Services) #Data Privacy #Big Data #Spark (Apache Spark) #DevOps #TensorFlow #Data Engineering #PySpark #Security #Azure #Data Integration #Cloud #Deployment
Role description
We are seeking an AI Architect to design and oversee scalable AI solutions on Palantir Foundry, integrating machine learning, PySpark pipelines, and enterprise data workflows. The role ensures secure, compliant, and high-performance AI architectures aligned with business needs. Key Responsibilities • Architect end-to-end AI solutions on Foundry, including ML models, PySpark pipelines, and deployment workflows. • Select and evaluate ML, data, and platform components within Foundry and cloud ecosystems. • Establish AI architecture standards, security, governance, and best practices on Foundry. • Collaborate with data engineers, data scientists, and product teams for seamless commercial data integration. • Integrate AI workflows with business systems using Foundry APIs and connectors. • Ensure data privacy, compliance, and reliability across Foundry-based solutions. • Troubleshoot architectural issues, pipeline performance, and model reliability. • Stay updated on AI/ML and Foundry advancements and drive adoption. Qualifications • Bachelor’s/Master’s in CS, Engineering, or related field. • Experience as an AI Architect or ML Engineer working with Foundry, PySpark, and cloud big data platforms. • Strong knowledge of AI/ML algorithms, optimization, and enterprise deployment. • Expertise in cloud environments (AWS/Azure/GCP), distributed processing (PySpark), and ML frameworks (TensorFlow, PyTorch, MLlib). • Solid understanding of data engineering, security, governance, and software architecture on Foundry. • Strong communication and problem-solving skills. Preferred • Experience with AI/analytics for pharma or commercial data on Foundry. • Knowledge of MLOps, DevOps, CI/CD, and automated pipelines. • Familiarity with big data tools (Spark, Hadoop) and commercial data integrations.