At a Glance
- Tasks: Collaborate with teams to deliver real-world AI solutions and improve workflows.
- Company: Join Seven Investment Management, a leader in innovative financial solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a tangible impact by embedding AI into business processes.
- Qualifications: Computer science degree or equivalent experience with strong software engineering skills.
The predicted salary is between 60000 - 80000 £ per year.
Seven Investment Management is seeking a Forward Deployed AI Associate to embed engineering capabilities into business teams. This role involves framing problems, testing assumptions, and delivering real-world AI solutions.
Your responsibilities will include:
- Closely collaborating with teams to improve workflows through AI
- Building tools for operational use
- Ensuring all solutions meet high regulatory standards
A computer science degree or equivalent experience is required, along with strong software engineering skills.
Embedded AI Delivery Engineer in London employer: Seven Investment Management
Seven Investment Management is an excellent employer that fosters a collaborative and innovative work culture, where employees are empowered to drive meaningful change through AI solutions. With a strong focus on professional development, team members have access to continuous learning opportunities and the chance to work on impactful projects in a dynamic environment. Located in a vibrant area, the company offers a supportive atmosphere that values creativity and encourages personal growth.
Contact Details:
Seven Investment Management Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Embedded AI Delivery Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Seven Investment Management. A friendly chat can open doors and give you insights into what they’re really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your AI solutions and engineering capabilities. This is your chance to demonstrate how you can frame problems and deliver real-world results.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to AI and software engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the team at Seven Investment Management.
We think you need these skills to ace Embedded AI Delivery Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in AI and software engineering. We want to see how your skills align with the role of an Embedded AI Delivery Engineer, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. We love seeing genuine enthusiasm and a clear understanding of what we do at StudySmarter.
Showcase Problem-Solving Skills:Since this role involves framing problems and testing assumptions, make sure to include examples of how you've tackled challenges in the past. We’re looking for candidates who can think critically and deliver practical AI solutions.
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. Plus, it shows you’re keen to join the StudySmarter family!
How to prepare for a job interview at Seven Investment Management
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI concepts and how they apply to real-world problems. Be ready to discuss specific projects where you've implemented AI solutions, as this will show your practical experience and understanding.
✨Showcase Your Engineering Skills
Prepare to talk about your software engineering skills in detail. Have examples ready that demonstrate your ability to build tools and improve workflows. This is your chance to highlight any relevant programming languages or frameworks you’re proficient in.
✨Understand the Business Context
Since this role involves embedding AI into business teams, it’s crucial to understand how AI can solve business problems. Research Seven Investment Management and think about how AI could enhance their operations. This will help you frame your answers in a way that aligns with their goals.
✨Regulatory Standards Matter
Familiarise yourself with the regulatory standards relevant to AI in finance. Be prepared to discuss how you ensure compliance in your projects. This shows that you not only have technical skills but also understand the importance of regulations in delivering AI solutions.
