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 hybrid work, competitive pay, and the chance to shape AI from scratch.
- Other info: Join a dynamic team and enjoy opportunities for professional growth.
- 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 Engineer:in (m/w/d) in London employer: Morson Edge
Join a leading investment management organisation that values innovation and offers a dynamic work culture where you can truly make an impact. As a Remote Engineer, you'll enjoy the flexibility of hybrid working while being part of a greenfield AI environment, providing you with unique opportunities for professional growth and the chance to shape cutting-edge AI solutions from the ground up. With a focus on collaboration and employee development, this role promises a rewarding experience in a forward-thinking company committed to excellence in financial services.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineer:in (m/w/d) 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 lookout for opportunities. Attend industry meetups or webinars to connect with potential employers and showcase your skills.
✨Tip Number 2
Showcase your projects! If you've worked on AI solutions before, make sure to have a portfolio ready. Share your experiences and how you tackled challenges in building AI applications – it’ll give you an edge during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI frameworks. Practice common interview questions related to AI deployment and security to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles that could be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Remote Engineer:in (m/w/d) 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 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 what excites you about building an 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 designing AI applications, we want to see your hands-on experience and how you've tackled challenges in the past.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join our team at StudySmarter!
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 technologies in past projects, as this will show your hands-on experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially in a greenfield environment. Highlight your ability to think critically and creatively when building AI solutions, as this is crucial for shaping the platform from scratch.
✨Understand Financial Services Regulations
Brush up on the key regulations and compliance issues in the financial services sector. Being able to discuss how you ensure security and compliance in your AI solutions will demonstrate your readiness for the role and your understanding of the industry.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for their AI platform and how they measure success. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals.
