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- Tasks: Design, develop, and implement AI/ML applications using Python on Azure.
- Company: Join a leading financial services client focused on innovative AI solutions.
- Benefits: Competitive daily rate, flexible work environment, and inclusive culture.
- Why this job: Be at the forefront of AI technology and make a real impact in finance.
- Qualifications: Experience with Azure AI/ML and Python; strong collaboration skills required.
- Other info: Diverse and inclusive workplace with opportunities for personal growth.
The predicted salary is between 54000 - 90000 £ per year.
£450/day outside IR35
London-based - twice a week on-site
6 month initial contract
Working with a financial services client who are looking to build a new AI/ML function. Looking for a MLOps Engineer to design, develop and implement AI and ML applications.
Will require working cross-functionally to conceptualise, design, test and deploy AI projects.
Key responsibilities:
- Build, develop and deploy AI applications using Python
- Design and develop AI services
- Setup and develop data ingestion pipelines and components
- Develop search related components using Azure AI Search
- Developing and deploying AI/ML models
- Build and maintain scalable, high-performance AI apps on Azure
- Create and maintain secure AI platform
- Collaborate cross-functionally to understand requirements
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Azure AI Engineer employer: Sanderson Recruitment
Contact Detail:
Sanderson Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space, especially those who work with Azure. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those using Python and Azure. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data ingestion pipelines and deploying AI models. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our community. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Azure AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure AI and ML. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing enthusiasm and a clear understanding of the responsibilities involved, so let your personality come through.
Showcase Your Projects: If you've worked on any AI/ML projects, make sure to mention them! We’re interested in your hands-on experience, especially with Python and Azure. Include links to your GitHub or any relevant portfolios if you have them.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the recruitment process!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your Azure Inside Out
Make sure you brush up on your Azure AI and ML knowledge. Familiarise yourself with the specific services and tools you'll be using, like Azure AI Search and data ingestion pipelines. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Python Skills
Since Python is a key part of the role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures in Python can really help you shine.
✨Prepare for Cross-Functional Collaboration
This role involves working with various teams, so be ready to discuss how you've successfully collaborated in the past. Think of examples where you’ve worked cross-functionally to deliver a project, and be prepared to explain your approach to understanding different requirements.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's AI/ML projects and their vision for the future. This not only shows your interest but also helps you gauge if the company is the right fit for you.
