At a Glance
- Tasks: Build and deploy innovative AI solutions in a greenfield environment.
- Company: Leading investment management organisation with a focus on AI technology.
- Benefits: Flexible remote work, competitive pay, and the chance to shape AI from scratch.
- Other info: Opportunity to work in a dynamic, fast-paced environment with growth potential.
- Why this job: Take ownership of exciting AI projects and make a real impact in financial services.
- Qualifications: Experience in financial services and a passion for AI development.
The predicted salary is between 50000 - 70000 £ per year.
A leading investment management organisation is looking for an AI Solutions Engineer to help deliver practical AI solutions across the business.
It's a greenfield AI environment and there's an opportunity to shape from the ground up - it's a role for someone who wants genuine ownership of building an AI platform from scratch.
You'll be the hands-on engineer responsible for building and deploying AI solutions across the business. Think Azure AI Foundry, Copilot Studio, and M365 - designing, prototyping, and delivering AI applications at pace, whilst ensuring everything is secure, scalable and compliant.
Please note, financial services or regulated environment experience is required.
Remote C# Engineer in London employer: Morson Edge
Join a leading investment management organisation that champions innovation and offers a dynamic work culture where your contributions truly matter. With a focus on employee growth, you'll have the chance to shape cutting-edge AI solutions in a greenfield environment, all while enjoying the flexibility of a hybrid working model in London. This role not only provides meaningful work but also the opportunity to develop your skills in a supportive and forward-thinking team.
StudySmarter Expert Advice🤫
We think this is how you could land Remote C# Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those who are already working with AI. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any that relate to financial services. This will give potential employers a taste of what you can do and how you can contribute to their greenfield AI environment.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Azure AI Foundry and other relevant tools. Be ready to discuss how you would approach building and deploying AI solutions in a secure and compliant manner.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, 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 Remote C# Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Solutions Engineer. Highlight your experience with C#, Azure, and any relevant projects you've worked on in financial services. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about building AI solutions and how your background makes you the perfect fit for this role. We love seeing genuine enthusiasm!
Showcase Your Projects:If you've worked on any AI or software development projects, make sure to mention them. We’re interested in seeing your hands-on experience and how you’ve tackled challenges in a greenfield environment. Don’t hold back!
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 don’t miss out on any important updates. Let’s get your journey started!
How to prepare for a job interview at Morson Edge
✨Know Your AI Tools
Familiarise yourself with the specific AI tools mentioned in the job description, like Azure AI Foundry and Copilot Studio. Be ready to discuss how you've used similar technologies in past projects and how you can leverage them in this role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles, especially in a financial services context. Highlight your ability to design and deploy scalable AI solutions while ensuring compliance and security.
✨Understand the Business Impact
Research the company and its position in the investment management sector. Be prepared to discuss how your AI solutions can drive business value and improve operational efficiency within their specific environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI strategy and the challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute effectively from day one.
