Senior Cloud Engineer - Azure AI in Manchester

Senior Cloud Engineer - Azure AI in Manchester

Manchester Full-Time 60000 - 80000 £ / year (est.) No working from home possible
UBDS Group

At a Glance

  • Tasks: Join a dynamic team to develop AI-powered solutions on Microsoft Azure.
  • Company: Innovative tech company focused on AI and cloud engineering.
  • Benefits: Competitive salary, private medical cover, generous holiday, and personal development opportunities.
  • Other info: Collaborative environment with excellent career growth and training options.
  • Why this job: Make an impact in the exciting field of AI and cloud technology.
  • Qualifications: Experience in Azure AI, full stack development, or cloud-native engineering.

The predicted salary is between 60000 - 80000 £ per year.

We are seeking a Senior Azure AI Engineer to join a multidisciplinary AI delivery team responsible for developing and deploying AI-powered solutions on Microsoft Azure. This role is suited to experienced engineers from a range of backgrounds, including AI Engineering, Data & Context Engineering, Application Engineering, Full Stack Development, and Cloud Engineering. We are looking for individuals with deep expertise in one or more of these areas and a willingness to collaborate across the wider Azure AI ecosystem.

Working within an agile AI squad, you will contribute to the design, development and delivery of AI-enabled services, intelligent assistants, retrieval systems and cloud-native applications.

We Are Interested In Candidates With Experience In One Or More Of The Following Areas:

  • AI Engineering
  • Azure AI Foundry
  • Azure OpenAI
  • Prompt Flow
  • Prompt Engineering
  • Agentic AI solutions
  • AI orchestration and workflow automation
  • AI evaluation and optimisation
  • Responsible AI and guardrails
  • Data & Context Engineering
  • Azure AI Search
  • Retrieval Augmented Generation (RAG)
  • Vector search and semantic retrieval
  • Document ingestion and processing pipelines
  • Context engineering
  • Metadata management
  • Evaluation datasets and testing frameworks
  • Application Engineering
  • Full stack application development
  • React and TypeScript
  • API integration
  • Cloud-native development
  • Authentication and authorisation
  • CI/CD pipelines
  • Secure software engineering
  • Cloud & Integration Engineering
  • Azure platform services
  • Logic Apps
  • Event-driven architectures
  • Enterprise integration patterns
  • Microservices
  • Platform automation and DevOps

Key Responsibilities:

  • Designing and developing AI-powered business solutions.
  • Building AI assistants, copilots and intelligent workflows.
  • Developing retrieval and knowledge management capabilities.
  • Creating secure and scalable cloud-native applications.
  • Integrating AI services with enterprise systems and data sources.
  • Implementing security, governance and operational controls.
  • Supporting deployment, testing and optimisation of AI solutions.
  • Collaborating with analysts, architects and delivery teams to deliver business outcomes.

Essential Skills & Experience:

  • Strong experience in at least one of the following: Azure AI and Generative AI development, Data engineering and retrieval architectures, Full stack application development, Cloud-native software engineering, Enterprise integration and platform engineering.
  • Strong problem-solving and technical design skills.
  • Experience working within Agile delivery environments.
  • Excellent communication and stakeholder engagement skills.
  • A collaborative approach to multidisciplinary delivery.

This role requires active UK Security Check (SC) clearance. Due to programme requirements, only candidates holding current and transferable SC clearance at the point of application can be considered. Applicants must have the right to work in the UK and be willing to maintain clearance for the duration of the engagement.

Desirable Experience:

  • Azure certifications.
  • Experience with Large Language Models (LLMs).
  • Knowledge of agentic AI frameworks.
  • Experience working within secure or regulated environments.
  • Exposure to enterprise-scale AI deployments.

Benefits:

  • Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies.
  • Private medical cover for you and your spouse/partner, offered via Vitality.
  • Discretionary bonus based on a blend of personal and company performance.
  • Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays.
  • Electric Vehicle leasing with salary sacrifice.
  • Contributed Pension Scheme.
  • Death in service cover.

Equal Opportunities:

We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Senior Cloud Engineer - Azure AI in Manchester employer: UBDS Group

Join a forward-thinking team as a Senior Azure AI Engineer, where innovation meets collaboration in a dynamic work culture. We prioritise your professional growth with extensive training opportunities and a supportive environment that encourages multidisciplinary teamwork. Enjoy competitive benefits including private medical cover, a generous holiday allowance, and the chance to work on cutting-edge AI solutions in a location that fosters creativity and technological advancement.

UBDS Group

Contact Details:

UBDS Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Cloud Engineer - Azure AI in Manchester

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Senior Cloud Engineer - Azure AI in Manchester

Azure AI
Generative AI development
AI Engineering
Data Engineering
Retrieval Architectures
Full Stack Application Development
Cloud-native Software Engineering

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at UBDS Group.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at UBDS Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at UBDS Group

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If UBDS Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.