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For Companies At a Glance
- Tasks: Design and implement AI solutions to tackle complex business challenges.
- Company: Join a leading financial sector company with a focus on innovation.
- Benefits: Enjoy a competitive salary, car allowance, private medical, and generous holiday options.
- Other info: Hybrid role with excellent career growth and a collaborative environment.
- Why this job: Be part of a dynamic AI team and make impactful decisions using data.
- Qualifications: Experience in software engineering, preferably with C# or Python and Azure.
The predicted salary is between 60000 - 80000 £ per year.
Our client is in the Financial Sector and is looking to grow their team with a new AI Engineer. The role is hybrid with 2 days in Central London, 3 days at home. This is a brand new role in the AI team of 20 to work on new projects and products, using data to make smarter, better decisions.
Description
- Design, develop, and implement AI-driven solutions to address complex business challenges.
- Collaborate with cross-functional teams to integrate AI technologies into existing systems.
- Research and apply advanced machine learning algorithms and techniques to improve business processes.
- Analyse large datasets to derive actionable insights and drive data-driven decision-making.
- Develop and maintain scalable AI models using industry best practices.
- Monitor the performance of AI systems and troubleshoot issues as they arise.
- Provide technical expertise and guidance to colleagues and stakeholders.
- Stay up-to-date with emerging trends and advancements in AI and machine learning.
Profile
- Must haves:
- Software Engineering experience - ideally C# or Python
- Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc)
- Then a mixture of the following on top:
- GenAI LLM APIs
- Experience designing, testing and deploying AI/ML solutions
- Chat Bots / Agents
- FastAPI
- Microsoft Agent Framework
- LangChain
- Vector database
- ML Engineering
Job Offer
- Car allowance of 5k
- Private medical
- 25 days + BHS
- Option to buy 10 more holidays
- Matched pension
- Life assurance
AI Engineer/Developer employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer/Developer
✨Tip Number 1
Network like a pro! Reach out to people in the financial sector, especially those working with AI. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using C# or Python. 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. Be ready to discuss machine learning algorithms and how you've applied them in real-world scenarios. Practice common interview questions related to AI and software engineering.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Engineer/Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with C# or Python, and any relevant projects you've worked on that showcase your skills in AI and machine learning.
Showcase Your Projects: Include specific examples of AI-driven solutions you've designed or implemented. This could be anything from chatbots to data analysis projects. We want to see how you've used your skills to solve real-world problems!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to emphasise your key achievements and skills that align with the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Michael Page
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially C# or Python and Azure services. Brush up on your knowledge of GenAI LLM APIs and ML Engineering concepts, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and implemented AI-driven solutions. Think about complex business challenges you've tackled and how your contributions made a difference. This will demonstrate your ability to apply your skills in real-world scenarios.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Highlight any projects where you integrated AI technologies into existing systems and how you communicated technical concepts to non-technical stakeholders.
✨Stay Ahead of the Curve
Keep yourself updated on the latest trends and advancements in AI and machine learning. Mention any recent developments or tools you’ve explored, as this shows your passion for the field and your commitment to continuous learning.