At a Glance
- Tasks: Design and implement AI solutions to tackle complex business challenges.
- Company: Join a leading financial firm with a focus on innovation.
- Benefits: Enjoy a competitive salary, car allowance, private medical, and generous holiday options.
- Other info: Hybrid work model with excellent career growth opportunities.
- Why this job: Be part of a dynamic AI team and shape the future of finance.
- 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 in London employer: Michael Page
Our client is an exceptional employer in the financial sector, offering a dynamic hybrid work environment that fosters innovation and collaboration. With a strong focus on employee growth, they provide opportunities to work on cutting-edge AI projects while enjoying a comprehensive benefits package, including private medical insurance and generous holiday options. Located in Central London, the company promotes a vibrant work culture that values creativity and data-driven decision-making, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer/Developer in London
✨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 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your software engineering experience, especially with C# or Python, and any relevant projects you've worked on that showcase your skills in AI and machine learning.
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 your experience aligns with the job description. Don’t forget to mention your familiarity with Azure and any specific tools listed in the job ad.
Showcase Your Projects:If you’ve worked on any AI-driven solutions or projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve data analysis or machine learning algorithms!
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 from us!
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 this 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 that could benefit the company. This shows your passion for the field and your commitment to continuous learning.
