AI Engineer | Contract (6 Months)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer on a 6-month contract, paying "rate". Location is "location". Requires 8+ years in software engineering, 3+ years in AI/ML, expertise in Microsoft Azure, and proficiency in Python, TensorFlow, and PyTorch.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 18, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Cambridge, England, United Kingdom
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🧠 - Skills detailed
#Azure #"ETL (Extract #Transform #Load)" #Code Reviews #GitHub #Leadership #Data Pipeline #Model Deployment #Deployment #AI (Artificial Intelligence) #Clustering #Automated Testing #Agile #Cloud #Classification #R #Regression #Python #TensorFlow #Microsoft Azure #ML (Machine Learning) #Deep Learning #Security #PyTorch #API (Application Programming Interface) #Scala
Role description
We are seeking an experienced AI & Cloud Engineer to join an advanced R&D team on a contract basis. This role will play a key part in building and scaling AI-driven platforms and services, with a strong focus on cloud-native development, public APIs, and industrial-scale AI deployment. Key Responsibilities β€’ Design and build scalable, fault-tolerant cloud-native services on Microsoft Azure. β€’ Develop secure, well-documented public APIs and SDKs for both internal and external developer use. β€’ Collaborate across teams to deliver end-to-end solutions spanning data pipelines, orchestration, and service APIs. β€’ Implement robust security controls to safeguard sensitive data and ensure secure access to AI services. β€’ Participate in design and code reviews, contributing to high engineering standards. β€’ Mentor junior developers and foster a culture of continuous learning and innovation. β€’ Support AI solutions across model deployment, training, and tooling development. AI & Cloud Expertise β€’ Hands-on experience working with Large Language Models (LLMs) and balancing performance, cost, and capability. β€’ Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. β€’ Familiarity with AI interoperability standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). β€’ Strong knowledge of ML algorithms (regression, classification, clustering, deep learning). β€’ Awareness of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act) and commitment to responsible AI practices. β€’ Proficient with AI coding tools such as GitHub Copilot and able to apply prompt engineering in development workflows. β€’ Experience with orchestration frameworks like AI Foundry or Semantic Kernel. β€’ Knowledge of automated testing and evaluation of AI outputs is a plus. β€’ Proficiency in Python and AI frameworks such as PyTorch and TensorFlow. Core Skills & Qualifications β€’ 8+ years in software engineering, with 3+ years focused on AI/ML systems or platforms. β€’ Deep expertise in Microsoft Azure and PaaS services (e.g., Azure Functions, AKS, API Management). β€’ Strong background in RESTful API design, versioning, testing, and lifecycle management. β€’ Proven ability to secure APIs and manage authentication/authorization practices. β€’ Strong problem-solving and solution design skills for complex technical challenges. β€’ Experience working in Agile, globally distributed R&D teams. β€’ Demonstrated leadership in mentoring and technical knowledge-sharing. Why This Role? This is a chance to work on cutting-edge AI and cloud technologies within a global-scale R&D environment. You’ll be contributing to projects that push the boundaries of AI deployment, industrial intelligence, and sustainable digital transformation. If you are a senior engineer looking for an impactful contract role where AI meets large-scale cloud engineering, we’d like to hear from you.