£400 Per day
Outside
Undetermined
London, UK
Summary: DataBuzz is seeking a Technical Manager for AI Engineering to lead the design and implementation of AI-enabling services on Microsoft Azure. The role requires a hands-on technical leader with expertise in cloud-native engineering and AI frameworks. Responsibilities include mentoring developers, guiding architectural decisions, and ensuring robust and secure solutions. This position offers an opportunity to work at the forefront of AI innovation within a prestigious organization.
Key Responsibilities:
- 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.
Key Skills:
- 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.
Salary (Rate): £400 per day
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Applicants must be eligible to work in the specified location
Technical Manager AI Engineering
- Day Rate: £400 per day (Outside IR35)
- Location: London
- 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!