At a Glance
- Tasks: Join a dynamic team to develop AI and data solutions on Azure for private equity clients.
- Company: Innovative private equity firm focused on cutting-edge AI and data projects.
- Benefits: Competitive salary of £140K plus bonus, with opportunities for professional growth.
- Other info: Ideal for tech-savvy individuals looking to thrive in a fast-paced, innovative setting.
- Why this job: Make a real impact by working on exciting AI and ML projects in a collaborative environment.
- Qualifications: Strong Python skills and experience with Azure services and MLOps.
The predicted salary is between 108000 - 172000 € per year.
Exciting new role within Private Equity, joining a new Data & AI software team to work with the Portfolio clients, working on development projects for AI, ML, and Data.
Role:
- Building agentic workflows with solutions like Autogen, Swarm, or LangGraph.
- OpenAI GPT Integration.
- MLOps Expertise utilising Azure Machine Learning.
- Responsible for designing, developing, and implementing data solutions on the Microsoft Azure platform, including data pipelines and architectures.
- Azure services: Expertise in Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database.
- Data pipeline development: Experience with designing and building ETL/ELT pipelines.
Projects include:
- AI
- Dashboards
- Cloud Infrastructure
- Data pipelines
- Data Lake
- Data models
Experience:
- Strong Python skills.
- ML frameworks, and hands-on experience with LLM toolchains, OpenAI APIs, embeddings, and vector stores.
- Experience within Microsoft Azure, Azure AI and MLOps.
- Experience with Azure AI/ML services and MLOps.
- Ideally LLMs, in enterprise environments.
- AI-enabled products and driving CoPilot coaching and enablement.
Business Impact:
Background in delivering business-focused AI solutions with measurable ROI.
AI & Data Engineer - Azure - Private Equity in High Wycombe employer: Santa Monica Talent
Join a dynamic and innovative team at the forefront of AI and Data solutions within the Private Equity sector, where your contributions will directly impact portfolio clients. With a competitive salary package and a culture that fosters collaboration and continuous learning, you'll have ample opportunities for professional growth while working in the vibrant heart of London. Embrace the chance to work on cutting-edge projects using Azure technologies, all within a supportive environment that values creativity and initiative.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Engineer - Azure - Private Equity in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to folks in the Private Equity and AI sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, ML, and data pipelines. Use GitHub or a personal website to display your work. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Research the company’s recent projects and think about how your experience with Azure and AI can add value. Be ready to discuss specific examples of your work and how it aligns with their goals.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role you’re after.
We think you need these skills to ace AI & Data Engineer - Azure - Private Equity in High Wycombe
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI & Data Engineer role. Highlight your experience with Azure services, Python skills, and any relevant projects you've worked on. We want to see how your background aligns with our exciting new role!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data solutions, and how you can contribute to our team. Don’t forget to mention specific projects or technologies that excite you about this role.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's building data pipelines or integrating ML solutions, we love seeing real-world examples of your work and how they’ve made an impact.
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’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Santa Monica Talent
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services like Azure Data Factory, Azure Databricks, and Azure SQL Database. Be ready to discuss how you've used these tools in past projects, especially in relation to building data pipelines and architectures.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of ML frameworks and LLM toolchains.
✨Prepare for Real-World Scenarios
Expect questions about how you've delivered business-focused AI solutions with measurable ROI. Think of specific examples from your experience where your work had a tangible impact, particularly in private equity or similar environments.
✨Familiarise Yourself with MLOps
Since MLOps expertise is crucial, be prepared to discuss your experience with Azure Machine Learning and how you've implemented MLOps practices in previous roles. Highlight any projects where you've integrated AI and ML into workflows, especially using tools like Autogen or Swarm.
