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, car allowance, private medical, and extra holiday options.
- Other info: Exciting opportunities for growth 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 Scientist in London employer: Michael Page Technology
Our client is an exceptional employer in the Financial Sector, offering a dynamic hybrid work environment that fosters innovation and collaboration. With a focus on employee growth, they provide opportunities to work on cutting-edge AI projects while enjoying benefits such as a generous car allowance, private medical insurance, and the option to purchase additional holidays. The supportive culture and commitment to professional development make this an ideal place for talented individuals looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Scientist 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 or any relevant work. This is your chance to demonstrate your expertise in machine learning algorithms and data analysis—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and scenarios. Practice explaining complex concepts in simple terms; this will help you communicate effectively with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that AI Scientist role. Plus, it shows you’re serious about joining our team and making an impact in the financial sector.
We think you need these skills to ace AI Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Scientist role. Highlight your experience with machine learning algorithms, software engineering skills, and any relevant projects you've worked on. We want to see how your background aligns with the job description!
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 you can contribute to our client's team. Be sure to mention specific technologies like Azure or Python that you’re familiar with.
Showcase Your Projects:If you've worked on any AI-driven projects, make sure to include them in your application. We love seeing real-world applications of your skills, so share what you've done and the impact it had on decision-making or business processes.
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 updates. Plus, it’s super easy!
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 Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others. Highlight any experiences where you integrated AI solutions into existing systems or worked alongside different departments.
✨Data is Key
Be prepared to talk about your experience analysing large datasets. Think of specific instances where your insights led to data-driven decisions. This will show that you understand the importance of data in making smarter business choices.
✨Get Familiar with the Tools
Familiarise yourself with the tools mentioned in the job description, like Azure and Python. If you have experience with chatbots or vector databases, be ready to discuss those as well. Showing that you’re comfortable with the tech stack will give you an edge.
