At a Glance
- Tasks: Design and develop AI-driven applications using Azure technologies in a dynamic Agile team.
- Company: Join a leading tech firm at the forefront of AI transformation.
- Benefits: Competitive daily rate, remote work, and immediate interviews available.
- Other info: 10-month contract with opportunities for career growth in a collaborative environment.
- Why this job: Make a real-world impact with cutting-edge AI solutions and innovative projects.
- Qualifications: Experience with Azure, AI technologies, and strong software engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
Join a Cutting-Edge AI Transformation Programme. We are seeking an experienced Azure Software Engineer (AI) to join a high-profile programme delivering next-generation AI-powered capabilities within a secure and highly regulated environment. This is an exciting opportunity to work at the forefront of Artificial Intelligence, Generative AI and Cloud Engineering, designing and building intelligent, cloud-native solutions on Microsoft Azure. You will play a key role in transforming business requirements into scalable, secure and production-ready AI applications, working alongside architects, data scientists, engineers and stakeholders across a complex enterprise landscape.
If you're passionate about Azure, AI, Large Language Models (LLMs) and building innovative solutions that create real-world impact, we'd love to hear from you.
The Role
As an Azure Software Engineer (AI), you will be responsible for designing, developing and deploying intelligent applications and AI-driven solutions using Microsoft's Azure ecosystem. Working within a multidisciplinary Agile team, you'll contribute across the full AI lifecycle, from experimentation and proof of concept through to deployment, optimisation and ongoing support.
Key responsibilities will include:
- Designing and developing AI-enabled applications using Azure OpenAI, Azure AI Services and Azure Machine Learning
- Building Generative AI solutions leveraging LLMs, prompt engineering, embeddings and Retrieval Augmented Generation (RAG)
- Integrating Machine Learning models into enterprise applications using Azure ML endpoints and APIs
- Developing scalable APIs and cloud-native services
- Creating robust data ingestion, transformation and processing pipelines
- Implementing MLOps practices including model deployment, monitoring, retraining and lifecycle management
- Applying Responsible AI principles and governance standards
- Working closely with architects, data engineers, data scientists and business stakeholders to deliver innovative solutions
Essential Skills & Experience
- Azure & AI
- Strong hands-on experience with: Azure OpenAI, Azure AI Services, Azure Machine Learning, Azure AI Search
- Experience designing and delivering AI-enabled cloud-native applications
- Practical experience with Generative AI technologies
- Knowledge of RAG architectures, embeddings and prompt engineering
- Experience integrating AI models into production environments
- Software Engineering
- Strong development experience with: Python, C#, JavaScript/TypeScript
- API design and development
- Microservices and distributed systems
- Modern software engineering best practices
- Cloud & DevOps
- Strong Azure platform expertise
- Azure DevOps and/or GitHub Actions
- CI/CD pipeline implementation
- Docker and Kubernetes (AKS)
- Azure Monitor and Application Insights
- Infrastructure and application observability
- Data & MLOps
- Data pipeline development (ETL/ELT)
- Azure Data Lake, Synapse and Cosmos DB
- MLOps and model lifecycle management
- Model monitoring, performance optimisation and drift detection
What We're Looking For
You'll be a collaborative and technically curious engineer who thrives in complex environments and enjoys solving challenging problems. You'll bring:
- Strong problem-solving and analytical skills
- Excellent stakeholder engagement and communication abilities
- A passion for emerging AI technologies
- Experience working within Agile and DevOps environments
- The ability to translate business requirements into scalable technical solutions
- A focus on quality, security and operational excellence
Security Requirements
Due to the nature of this programme, candidates must:
- Hold active SC Security Clearance
- Be a Sole UK National
- Hold a British Passport
- Be eligible to work within secure government and defence environments
Contract Details
- 10-Month Initial Contract
- Inside IR35
- £650-£750 per day
- Remote Working
- Occasional travel to Reading or Warton
- Immediate Interviews Available
If you're an experienced Azure AI Engineer looking to work on innovative, mission-critical programmes using the latest Azure and Generative AI technologies, apply today.
Azure Software Engineer / Azure DevOps (AI) in Manchester employer: Synergize Consulting
As an employer, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge AI projects in a secure environment. With flexible remote working options and a focus on impactful solutions, we offer a rewarding experience for those passionate about technology and its potential to transform industries.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Software Engineer / Azure DevOps (AI) in Manchester
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Synergize Consulting who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at Synergize Consulting!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Synergize Consulting to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Azure Software Engineer / Azure DevOps (AI) in Manchester
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Synergize Consulting!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Azure Software Engineer / Azure DevOps (AI) at Synergize Consulting! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Synergize Consulting
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Synergize Consulting uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Synergize Consulting that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Synergize Consulting, so it's relevant and sparks conversation during your interview.
