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: Remote work, competitive pay, and the chance to shape AI from scratch.
- Other info: Opportunity to work in a fast-paced, innovative environment.
- Why this job: Take ownership of creating impactful AI applications in a dynamic setting.
- Qualifications: Experience in financial services and hands-on AI engineering skills.
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 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. As an AI Solutions Engineer, you'll enjoy the flexibility of a hybrid working model in London, alongside opportunities for professional growth and development in a cutting-edge greenfield environment. With a focus on collaboration and ownership, this role allows you to shape AI solutions from the ground up, making it an exciting and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Remote engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector and let them know you're on the hunt for an AI Solutions Engineer role. Attend industry meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your previous AI projects, especially those relevant to financial services. This will give you a leg up when discussing your hands-on experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Azure AI Foundry and other tools mentioned in the job description. Practice coding challenges and be ready to demonstrate your problem-solving skills on the spot.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of an AI Solutions Engineer. Highlight your experience in building and deploying AI solutions, especially in financial services. We want to see how your skills match 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 AI and how you can contribute to our greenfield environment. Let us know how you envision shaping the AI platform from scratch.
Showcase Relevant Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's using Azure AI Foundry or developing secure applications, we want to see examples of your hands-on experience that demonstrate your capabilities.
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 from us!
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 these or similar platforms in past projects, showcasing your hands-on experience.
✨Understand Financial Services
Since experience in financial services is a must, brush up on industry regulations and compliance standards. Prepare examples of how you've navigated these in previous roles, as this will demonstrate your ability to operate effectively in a regulated environment.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced while building AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your problem-solving skills and how you can bring genuine ownership to the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI strategy and the greenfield environment. This shows your enthusiasm for the role and helps you gauge if the company aligns with your career goals. It’s also a great way to demonstrate your proactive mindset.
