Requirements
- You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery.
- You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector.
- You have experience leading full-stack technology teams, backed by a solid grasp of systems architecture and engineering fundamentals.
- You possess deep knowledge of the financial services landscape, including commercial drivers and how AI can accelerate business outcomes for banks and insurers.
- You are an excellent communicator, able to clearly explain complex technical information and strategy to both internal teams and C-suite clients.
- You have an interest, and proven ability to mentor and develop high-performing data scientists and machine learning engineers.
- If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don’t hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.
What the job involves
- As Director, AI Engineering you’ll be our most senior technical authority on the AI solutions we propose and deliver across our rapidly growing Financial Services Business unit.
- This is a pivotal role, requiring you to balance deep AI and machine learning expertise with commercial and strategic leadership. We’ll look to you to define a differentiated technical vision for clients across banking, insurance, and asset management, while directly mentoring our world-class team of data scientists and engineers.
- Leading the development and delivery of advanced AI solutions, ensuring technical excellence across the entire business unit.
- Providing hands‑on technical guidance and expertise for complex, high-priority client projects.
- Advising on solution architecture, advanced machine learning modelling, and engineering best practices.
- Defining and championing the technical strategy and vision for our financial and professional services clients.
- Leading recruiting, structuring, and professional development for technical staff within the business unit.
- Acting as the senior technical authority in key client meetings to secure and expand market opportunities.
- Creating and sharing impactful technical thought leadership through conferences, articles, and other media.
Requirements
- You are an experienced technology leader, with a proven track record of successfully leading AI/ML strategy and project delivery.
- You bring a strong understanding of MLOps, with experience deploying commercially valuable AI applications within the financial services sector.
- You have experience leading full-stack technology teams, backed by a solid grasp of systems architecture and engineering fundamentals.
- You possess deep knowledge of the financial services landscape, including commercial drivers and how AI can accelerate business outcomes for banks and insurers.
- You are an excellent communicator, able to clearly explain complex technical information and strategy to both internal teams and C-suite clients.
- You have an interest, and proven ability to mentor and develop high-performing data scientists and machine learning engineers.
- If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don’t hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.
What the job involves
- As Director, AI Engineering you’ll be our most senior technical authority on the AI solutions we propose and deliver across our rapidly growing Financial Services Business unit.
- This is a pivotal role, requiring you to balance deep AI and machine learning expertise with commercial and strategic leadership. We’ll look to you to define a differentiated technical vision for clients across banking, insurance, and asset management, while directly mentoring our world-class team of data scientists and engineers.
- Leading the development and delivery of advanced AI solutions, ensuring technical excellence across the entire business unit.
- Providing hands‑on technical guidance and expertise for complex, high-priority client projects.
- Advising on solution architecture, advanced machine learning modelling, and engineering best practices.
- Defining and championing the technical strategy and vision for our financial and professional services clients.
- Leading recruiting, structuring, and professional development for technical staff within the business unit.
- Acting as the senior technical authority in key client meetings to secure and expand market opportunities.
- Creating and sharing impactful technical thought leadership through conferences, articles, and other media.
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