

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
-
💰 - Day rate
400
-
🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
📄 - Contract type
Outside IR35
-
🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
-
🧠 - 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!
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!