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: Hybrid work, competitive salary, private medical, and extra holiday options.
- Other info: Exciting career growth opportunities in a fast-paced environment.
- 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.
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.
Responsibilities:
- 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.
- Stay up-to-date with emerging trends and advancements in AI and machine learning.
Requirements:
- Software Engineering experience - ideally C# or Python.
- Experience with Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc).
- Experience designing, testing and deploying AI/ML solutions.
- Knowledge of Chat Bots / Agents and Microsoft Agent Framework.
- Familiarity with Vector databases and ML Engineering.
Benefits:
- Car allowance of £5k.
- Private medical.
- Option to buy 10 more holidays.
- Matched pension.
- Life assurance.
AI Engineer employer: Michael Page Technology
Our client is an exceptional employer in the Financial Sector, offering a dynamic work environment that fosters innovation and collaboration. With a hybrid working model based in Central London, employees enjoy the flexibility of remote work while being part of a forward-thinking AI team dedicated to developing cutting-edge solutions. The company prioritises employee growth through continuous learning opportunities, competitive benefits including a generous car allowance, private medical insurance, and a matched pension scheme, making it an attractive place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 knowledge of machine learning algorithms and AI technologies. Be ready to discuss how you've used data to drive decisions in past projects—real examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that AI Engineer role, and applying directly gives you a better chance of getting noticed.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI-driven solutions, machine learning algorithms, and any relevant software engineering skills like C# or Python. We want to see how you can contribute to our client's projects!
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 skills align with the job description. Don’t forget to mention your experience with Azure and any collaborative projects you've worked on.
Showcase Your Projects:If you've worked on any AI or machine learning projects, make sure to showcase them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to analyse data and derive actionable insights.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Michael Page Technology
✨Know Your AI Stuff
Make sure you brush up on the latest AI trends and technologies, especially those relevant to the financial sector. Be ready to discuss your experience with machine learning algorithms and how you've applied them in past projects.
✨Showcase Your Coding Skills
Since software engineering experience is key, be prepared to demonstrate your coding skills in C# or Python. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Understand the Business Context
Research the company and its products. Understand how AI can solve specific business challenges in finance. This will help you tailor your answers and show that you're not just technically savvy but also business-minded.
✨Prepare for Collaboration Questions
As this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you integrate AI technologies into existing systems and how you handle feedback from different stakeholders.
