At a Glance
- Tasks: Design and develop AI-driven applications using Azure technologies in a dynamic 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: Exciting opportunity 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 Edinburgh 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 Edinburgh
✨Make Your Portfolio Shine
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We think you need these skills to ace Azure Software Engineer / Azure DevOps (AI) in Edinburgh
Some tips for your application 🫡
Showcase Your GitHub Projects:When applying for a freelance software engineering gig at Synergize Consulting, make sure to include your GitHub link in your application. Highlighting your code repositories, contributions to Open Source, and any personal projects can really set you apart and give us insight into your skills and coding style.
Tailor Your CV with Relevant Skills:In software development, the specifics matter! Make sure your CV lists the programming languages and technologies you excel at. Focus on the ones that align with the projects Synergize Consulting is working on. Listing your tech stack clearly will help us understand how you fit into our team.
Include a Portfolio of Your Work:A solid portfolio is a must when applying for freelance roles. Include links to any apps, websites, or software you've developed. Highlight any projects that reflect a strong user experience, efficiency, or innovative solutions—this is your chance to shine and show us what you can bring to the table!
Mention Your Availability and Rates:Since this is a freelance role, we want to know when you’re available and what your rates are like! Be upfront about your typical work hours and project timelines. This transparency will help us see if we can sync up for future projects at Synergize Consulting.
How to prepare for a job interview at Synergize Consulting
✨Showcase Your Code Wizardry
Since you're going for a freelance role in software engineering, have a solid portfolio ready to flaunt your best work. Include projects that highlight your coding skills, frameworks you excel in, and any problem-solving feats you've pulled off. This is your chance to shine, so choose pieces that reflect your unique style and expertise!
✨Prepare for Technical Challenges
Freelance gigs often involve tech assessments or coding challenges, so be ready to tackle some hands-on problems. Brush up on common algorithms, data structures, and any languages/frameworks relevant to the role at Synergize Consulting. Being comfortable with platforms like HackerRank or LeetCode can give you an edge and showcase your skills under pressure!
✨Be Clear About Your Rates and Flexibility
As a freelancer, be prepared to discuss your rates upfront. It's crucial to communicate your pricing structure clearly and whether you're open to negotiation. Do your homework on industry standards to ensure you pitch a fair and competitive rate that reflects your skills and experience!
✨Understand Their Tech Stack
Before the interview, get familiar with the tools and technologies used at Synergize Consulting. Whether it's a particular framework or a specific coding methodology, being knowledgeable about their tech stack not only shows your interest but also helps you present how you could fit seamlessly into their existing projects. Demonstrating you’ve done your homework can set you apart from other candidates!
