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: Hybrid work model, competitive pay, and the chance to shape AI from scratch.
- Other info: Opportunity to work in a cutting-edge AI environment with growth potential.
- 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.
Training & Content Engineer in London employer: Morson Edge
Join a leading investment management organisation that values innovation and creativity, offering you the chance to take ownership of building AI solutions from the ground up in a dynamic hybrid work environment in London. With a strong focus on employee growth, you'll have access to cutting-edge technology and resources, fostering a collaborative culture that encourages professional development and meaningful contributions to the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Training & Content 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 make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous AI projects, especially those relevant to financial services. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of AI applications in finance. Be ready to discuss how you can contribute to building an AI platform from scratch.
✨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 Training & Content Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Training & Content Engineer. Highlight your experience with AI solutions and any relevant projects you've worked on, especially 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 platforms and how your background makes you a perfect fit for this role. We love seeing genuine enthusiasm and a clear understanding of the job.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention specific tools and technologies you've used, like Azure AI Foundry or M365. We’re keen to see how you can contribute to our greenfield AI environment!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're serious about joining our team!
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 your experience with these platforms and how you've used them to build and deploy AI solutions in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in a greenfield environment. Highlight your ability to think creatively and adapt quickly, as this role requires genuine ownership and innovation in building an AI platform from scratch.
✨Understand Financial Services Regulations
Brush up on the regulations and compliance standards relevant to financial services. Being able to discuss how you ensure security and compliance in your AI solutions will demonstrate your understanding of the industry and its requirements.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for their AI platform and how they see it evolving. This shows your interest in the role and helps you gauge if the company aligns with your career goals.
