Technical Manager - AI Engineering Contract - Outside IR35

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Manager - AI Engineering, offering a £400/day rate for a 6-month contract in Cambridge. Key skills include cloud-native development on Microsoft Azure, API expertise, and AI/ML experience. Strong leadership and project management skills are required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Cloud #R #Azure #Automated Testing #.Net #GitHub #Scala #Deep Learning #Leadership #PyTorch #Data Privacy #Deployment #Classification #Python #TensorFlow #Model Deployment #Agile #Clustering #Compliance #Documentation #Regression #API (Application Programming Interface) #Microsoft Azure #Code Reviews #Security #Scrum #Kubernetes #ML (Machine Learning) #AI (Artificial Intelligence) #Data Pipeline #Data Science
Role description
Applicants must be eligible to work in the specified location Technical Manager AI Engineering • Day Rate: £400 per day (Outside IR35) • Location: Cambridge • Contract: 6-month rolling About the Role: DataBuzz is recruiting a Technical Manager AI Engineering to join a prestigious organisation. We re looking for a hands-on technical leader with strong expertise in cloud-native engineering, AI frameworks, and secure platform services. In this role, you'll lead teams to design, build, and scale AI-enabling services and APIs on Microsoft Azure, guide architectural decision-making, and ensure solutions are robust, secure, and compliant. you'll also play a key role in mentoring developers, fostering innovation, and helping shape enterprise-scale AI systems. If you re excited about AI, cloud, and leadership in cutting-edge engineering, this is the opportunity for you. What you'll Do: • Build scalable, fault-tolerant cloud-native services on Microsoft Azure. • Develop secure, well-documented public APIs and SDKs for developers inside and outside the organisation. • Collaborate with cross-functional teams to deliver data pipelines, orchestration, and service APIs. • Embed security best practices, including authentication, authorization, and data privacy. • Lead design reviews, code reviews, and architecture discussions to ensure engineering excellence. • Mentor and coach junior developers, fostering continuous learning and innovation • Work across teams on AI solutions, including model deployment, training, and AI tooling development. • Coordinate & facilitate project-level agile ceremonies for scrum teams • Contribute and run the Planning including lead-up, planning event, and outcomes. • Guide projects and objectives to deliver against aggressive timelines, partnering with scrum masters, product owners, and engineering to ensure successful delivery against commitments and complex projects. • Develop and manage project plans, documentation, risk mitigation, cross-team initiatives, • Act as the liaison between cross-functional teams to drive end-to-end development of products • Be a technical thought-leader, constantly improving, developing creative solutions help foster agile scrum and scaled agile and other productivity methodologies • Translate business requirements into technical tasks and track their executions Skills & Experience We re Looking For: • Strong project and program management skills • Software Engineering 12+ years of experience in platform or cloud-native service development using Microsoft and .NET technologies. • Cloud & PaaS Experience with Microsoft Azure and services such as Azure Functions, Azure Kubernetes Service (AKS), and Azure API Management. • APIs Expertise in RESTful API design, versioning, testing, and life cycle management. • Security Proficient in securing APIs, managing authentication/authorization, and implementing data privacy practices. • AI & ML Expertise Experience working with Large Language Models (LLMs), understanding trade-offs between performance, cost, and capability. • AI Techniques Knowledge of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. • AI Standards Familiarity with Model Context Protocol (MCP) and Agent2Agent (A2A). • Machine Learning Knowledge of algorithms including regression, classification, clustering, and deep learning. • AI Frameworks & Tools Experience with Python, PyTorch, and TensorFlow. • AI Orchestration Familiar with tools like AI Foundry and Semantic Kernel. • AI Coding Assistants Fluent in using GitHub Copilot and prompt engineering to accelerate development tasks. • Testing & Validation Experience with tools for automated testing and evaluation of AI outputs (a strong plus). • Ethical AI & Compliance Awareness of AI safety, bias detection, explainability, and compliance with NIST AI RMF and EU AI Act. • Collaboration & Leadership Excellent problem-solving skills, Agile team experience, and proven ability to mentor and lead across global teams. What you'll Gain: • Lead the delivery of enterprise-scale AI services at the forefront of innovation • Collaborate in a global R&D environment with world-class engineers and data scientists. • Shape ethical, trustworthy, and future-ready AI solutions. • Competitive day rates with a contract Outside IR35.  If you re passionate about AI leadership, cloud-native development, and building scalable platforms, we'd love to hear from you apply ASAP!