At a Glance
- Tasks: Design and deploy AI solutions using Azure and M365 tools in a modern cloud environment.
- Company: Respected financial services organisation committed to tech advancements.
- Benefits: Competitive daily rate, innovative projects, and flexible work schedule.
- Other info: Collaborative environment with excellent growth opportunities in a fast-paced setting.
- Why this job: Transform business processes with cutting-edge AI technology and make a real impact.
- Qualifications: Hands-on experience with Azure AI stack and strong programming skills required.
We're looking for a hands-on Azure AI Engineer to design and deploy AI solutions across a modern cloud environment. You'll rapidly prototype, build, and scale AI applications using Azure and M365 tools, helping transform business processes through intelligent automation.
Client Details
The employer is a respected organisation within the financial services industry, known for its commitment to technological advancements. As a medium-size company, they provide a collaborative and forward-thinking environment to support professional growth.
Description
- Build and maintain a secure, scalable AI platform using Microsoft Azure and M365
- Design, develop, and deploy AI-powered solutions using tools such as Copilot Studio and Azure AI services
- Rapidly prototype AI agents and low-code/no-code solutions to solve business challenges
- Integrate AI solutions with existing systems and data platforms
- Monitor, optimise, and support deployed solutions to ensure performance and reliability
- Collaborate with stakeholders to translate business needs into technical solutions
- Ensure solutions meet governance, security, and compliance standards
Profile
- Strong hands-on experience with Microsoft Azure AI stack (Azure AI, OpenAI, Copilot Studio, AI Foundry)
- Proven ability to build and deploy AI solutions end-to-end
- Experience with low-code/no-code AI tools and agent-based solutions
- Solid understanding of cloud architecture, DevOps, and integration patterns
- Strong programming skills (e.g. Python or similar)
- Knowledge of data governance, security, and AI ethics
- Comfortable working in an agile, fast-paced environment with multiple deliverables
- Excellent communication skills with both technical and non-technical stakeholders
- Relevant Microsoft certifications highly desirable
Job Offer
- Competitive daily rate of £600-800 per day (Umbrella rate, Inside IR35)
- Opportunity to work on innovative AI projects in the financial services industry
- 6 month initial contract
- Based in London 2-3 days per week
Azure AI Solutions Engineer employer: Michael Page
As a medium-sized company in the financial services sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to grow professionally. With a focus on technological advancements, we offer exciting opportunities to work on cutting-edge AI projects in a dynamic environment, all while ensuring a supportive atmosphere that values both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Azure AI Solutions Engineer
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Azure AI Solutions Engineer
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Azure AI Solutions Engineer at Michael Page, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Michael Page.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Michael Page
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
