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- Tasks: Lead teams to design and deliver AI-powered solutions and data platforms.
- Company: Dynamic tech firm focused on innovative AI solutions.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Join a forward-thinking company with a commitment to responsible AI practices.
- Why this job: Shape the future of AI while driving impactful projects in a collaborative environment.
- Qualifications: Experience in AI/ML, data architecture, and team leadership required.
The predicted salary is between 70000 - 90000 £ per year.
Location – Fenchurch Street, hybrid
Mandatory: Current Active SC Cleared Required.
Job Description:
- Lead cross functional engineering teams to design, build, and deliver data intensive platforms and AI powered solutions aligned to strategic business needs.
- Oversee end to end delivery across the data and AI lifecycle for Balance Sheet Management (BSM) – from data ingestion and modelling through to ML model development, deployment, and ongoing monitoring.
- Act as the AIPX Delivery Manager by leading the design and build of robust data pipelines and the creation of high quality derived data products, ensuring alignment with AIPX architecture, performance standards, and business consumption needs.
- Provide strong technical direction across data architecture, cloud engineering, and AI/ML capabilities to ensure scalable, secure, and well governed solutions.
- Collaborate with product owners, data teams, and business stakeholders to prioritise backlogs, manage risks, and translate requirements into actionable technical plans.
- Establish and enforce engineering best practices—including coding standards, DevOps/MLOps pipelines, testing frameworks, and documentation to ensure high quality delivery.
- Drive innovation by evaluating emerging data and AI technologies, leading proofs of concept, and embedding responsible AI principles across all project work.
Manager of Artificial Intelligence in London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager of Artificial Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your AI and data expertise. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI management. We all know that confidence is key, so get comfortable talking about your experience!
✨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 are proactive!
We think you need these skills to ace Manager of Artificial Intelligence in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Manager of Artificial Intelligence. Highlight your experience with AI, data architecture, and any relevant projects that showcase your skills in leading cross-functional teams.
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 your background aligns with our needs at StudySmarter. Don’t forget to mention any innovative projects you've led!
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise in cloud engineering, ML model development, and data pipelines. We want to see how you can bring strong technical direction to our team!
Apply Through Our Website: We encourage you to apply through our website for a smoother 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 Lorien
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss how you've applied these in past projects, especially in relation to data pipelines and model development.
✨Showcase Your Leadership Skills
As a Manager of Artificial Intelligence, you'll need to lead cross-functional teams. Prepare examples of how you've successfully managed teams, prioritised backlogs, and ensured high-quality delivery in previous roles.
✨Understand the Business Needs
Familiarise yourself with the strategic business needs related to Balance Sheet Management. Be prepared to discuss how your technical solutions can align with these needs and drive innovation within the company.
✨Prepare for Technical Questions
Expect to face technical questions about data architecture, cloud engineering, and AI/ML capabilities. Brush up on best practices, coding standards, and DevOps/MLOps pipelines to demonstrate your expertise and readiness for the role.