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- Tasks: Collaborate to optimise AI services and develop new capabilities on Azure.
- Company: Join a high-end consultancy known for its integrity and innovation.
- Benefits: Competitive pay, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to diversity and inclusion.
- Why this job: Make an impact in AI while working with top-tier financial services.
- Qualifications: Experience in AI engineering and strong Azure knowledge required.
London – 5 days onsite £500-525 p/d Inside IR35
emagine is a high-end professional services consultancy and solutions firm. Specialising in delivering business and technology services to the financial services sector, we power progress, solve challenges, and achieve real results through tailored, high-end consulting solutions.
We have built a culture of openness and integrity through genuine relationships and strong partnerships. This enables us to remain uncompromising in our commitment to delivering exceptional service for our clients. Equally, we foster a positive and inclusive environment for our consultants and colleagues, grounded in our core values: Confident, Dedicated, Responsible, Genuine.
We are seeking the expertise of a Cloud Engineer to support scale and enhance AI-driven services in Azure, particularly for core AI offerings. The individual will leverage expertise from mature environments, especially in banking or financial services, to help navigate and refine the development of existing AI solutions.
Responsibilities:
- Collaborate with the internal team to optimize and scale existing AI services.
- Guide the development of new AI capabilities, particularly in AI search.
- Deploy and manage AI solutions on Azure effectively.
- Ensure integration between cloud-based AI services and on-premises data sources.
- Maintain production-grade services with a focus on operational excellence, including logging and monitoring.
Must Haves:
- Extensive experience in AI engineering, particularly in building and deploying AI solutions.
- Strong knowledge of Azure infrastructure, especially networking and API management.
- Proven experience in integrating cloud services with on-premise systems.
- Background in banking or financial services.
- Familiarity with Azure AI capabilities and services.
- Knowledge of operational best practices for cloud services.
At emagine, we are committed to building an international and diverse team by embracing the differences in our backgrounds. If you are excited by the challenge and want to learn more, get in touch with us today. Our internal recruitment team is always keen to hear from dynamic individuals looking to further their careers and reach their full potential.
emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin.
AI Azure Engineer in London employer: Emagine Consulting
Contact Detail:
Emagine Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Azure Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those in financial services. A friendly chat can lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects and Azure solutions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and Azure. Practice explaining your past projects clearly and confidently – we want to see your passion shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at emagine.
We think you need these skills to ace AI Azure Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the AI Azure Engineer role. Highlight your experience with Azure and AI solutions, especially in banking or financial services. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Keep it concise but impactful – we love a good story that showcases your journey.
Showcase Relevant Projects: If you've worked on any AI projects, especially those involving Azure, make sure to mention them. We’re keen to see real examples of your work and how you’ve tackled challenges in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Emagine Consulting
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around AI capabilities and infrastructure. Be ready to discuss how you've deployed and managed AI solutions in the past, and think of specific examples that showcase your expertise.
✨Showcase Your Financial Services Experience
Since the role is focused on the financial services sector, highlight any relevant experience you have in banking or finance. Prepare to discuss how you've navigated challenges in these environments and how your background can benefit their AI-driven services.
✨Prepare for Technical Questions
Expect technical questions related to AI engineering and cloud integration. Brush up on operational best practices for cloud services and be ready to explain how you ensure production-grade services with a focus on logging and monitoring.
✨Emphasise Collaboration Skills
The role involves collaborating with internal teams, so be prepared to discuss your teamwork experiences. Share examples of how you've worked with others to optimise and scale AI services, and demonstrate your ability to foster genuine relationships in a professional setting.