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- Tasks: Lead the design and delivery of innovative AI solutions in a dynamic investment management firm.
- Company: Join a forward-thinking investment management firm in Central London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of AI and automation while tackling real-world challenges.
- Qualifications: Strong Python skills and experience with AI/ML frameworks required.
- Other info: Collaborative environment with a focus on modern engineering practices.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Orbis are proudly working with an Investment Management firm in Central London and are looking to hire an AI Engineering Manager with a background in Software Engineering or Data Engineering and a solid understanding of the current AI landscape. The AI Engineering Manager will help shape, build and deliver the next generation of AI and automation capabilities. This is a rare opportunity to join a firm modernising its engineering landscape, working with business leaders to turn complex problems into real, production‑ready AI solutions.
Your key responsibilities will be:
- Leading or contributing to the design, build and delivery of AI‑driven solutions across the firm, from prototype to production
- Partnering with business stakeholders to refine opaque problems, identify AI/automation opportunities and shape technical requirements
- Working with large volumes of unstructured “dark data” to extract insights, build semantic models and support new AI use cases
- Driving or supporting modern engineering practices across Azure, Python, and the firm’s emerging AI ecosystem
To succeed in this role, you will have:
- Excellent hands‑on Python experience with experience working with modern LLM/GenAI frameworks (e.g. LangChain, LangGraph, PyTorch) with deep expertise in AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit‑learn, and Hugging Face Transformers)
- Excellent understanding of the Microsoft ecosystem including Azure, AI services, and the evolving roadmap shaping Microsoft’s cloud and AI solutions
- Excellent proven experience working directly with cross‑functional business stakeholders to understand challenges and translate into technical requirements
- Strong experience of managing and/or leading teams of Software and Data Engineers
If you feel your experience is a fit with the above role, please apply with an up‑to‑date CV in the first instance.
AI Engineering Manager employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and investment management sectors. Attend meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your AI projects, especially those involving Python and modern frameworks. This will give you an edge when discussing your experience with recruiters.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions. Be ready to discuss how you've tackled complex problems and delivered production-ready solutions in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace AI Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineering Manager role. Highlight your experience with Python, AI frameworks, and any relevant projects that showcase your skills in building AI solutions. We want to see how you can contribute to our mission!
Showcase Your Leadership Skills: Since this role involves managing teams, don’t forget to highlight your leadership experience. Share examples of how you've led projects or teams in the past, especially in software or data engineering contexts. We love seeing how you can inspire others!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make your achievements stand out. We appreciate straightforward communication, so let’s get to the good stuff quickly!
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’re considered for the role. Plus, it’s super easy – just upload your CV and you’re good to go!
How to prepare for a job interview at Orbis Group
✨Know Your AI Stuff
Make sure you brush up on the latest AI trends and technologies, especially those relevant to the role. Familiarise yourself with frameworks like LangChain and PyTorch, and be ready to discuss how you've used them in past projects.
✨Showcase Your Leadership Skills
As an AI Engineering Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've managed or mentored software and data engineers, and how you've driven successful projects from prototype to production.
✨Understand the Business Side
This role involves partnering with business stakeholders, so be prepared to discuss how you've translated complex business challenges into technical requirements. Think of specific instances where your insights led to successful AI solutions.
✨Get Comfortable with Azure
Since the firm is heavily invested in the Microsoft ecosystem, make sure you know your way around Azure and its AI services. Be ready to talk about any experience you have with cloud solutions and how they can enhance AI capabilities.