Senior Manager, AI/ML

Senior Manager, AI/ML

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Capital Strategy Associates

At a Glance

  • Tasks: Lead AI/ML initiatives, define strategies, and drive innovation across the organisation.
  • Company: Join a forward-thinking financial services firm focused on AI/ML advancements.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with a chance to influence technology strategies globally.
  • Why this job: Shape the future of AI/ML in finance and make a real impact.
  • Qualifications: Proven experience in AI/ML, strong leadership skills, and excellent communication abilities.

The predicted salary is between 70000 - 90000 £ per year.

We are looking for a dynamic individual who can effectively align business priorities and goals with the opportunities presented by AI and ML. You will be responsible for defining a vision and target state and communicating them effectively to a wide range of audiences, including senior management and external parties.

Responsibilities:

  • Define standards and reference architectures for AI/ML, including platform architectures, model development lifecycle management, quality assurance processes, and continuous model delivery/deployment strategies.
  • Drive Capital's enterprise generative AI program, coordinating and realizing the benefits of these solutions.
  • Execute frameworks for knowledge sharing across all AI/ML teams in the company and develop a strategy to train the organization in AI/ML technologies.
  • Evangelize AI/ML to a wide range of internal and external audiences, including senior management.
  • Network internally and externally with business partners, delivery teams, industry peers and external technology leaders to identify opportunities related to AI/ML solutions.
  • Contribute to defining technology strategies for AI/ML, provide insights into new business models that could be enabled through AI, and become a trusted advisor to executives implementing AI in their functional fields.

Qualifications:

  • An inspiring technology leader with hands-on experience in AI or ML, preferably in financial services.
  • Experience using AI/ML cloud services on AWS, Azure or GCP and building scalable infrastructure for enterprise-level AI and ML.
  • An accomplished speaker capable of communicating strategic and highly complex technical information to diverse stakeholder groups and audiences at all levels.
  • Has commercial acumen, knowledge of the business environment and can translate key business objectives and customer needs into effective strategy and architecture plans.
  • Has a global mindset, considering all operational regions when assessing impact and making key decisions regarding technology, architecture and people.
  • Demonstrates the ability to manage ambiguity and approach difficult assignments in a pragmatic manner.
  • Possesses an innovative mindset and leads and develops teams by setting the tone, driving business results, investing in their development and overseeing their performance.

If you're the person who can say, I'm the person Capital Group is looking for we'd love to hear from you.

Senior Manager, AI/ML employer: Capital Strategy Associates

At Capital Group, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our comprehensive training programmes in AI/ML technologies, ensuring that you are at the forefront of industry advancements. Located in a vibrant area, we offer a dynamic work environment where your contributions directly impact our enterprise generative AI initiatives, making your role both meaningful and rewarding.

Capital Strategy Associates

Contact Details:

Capital Strategy Associates Recruitment Team

We think you need these skills to ace Senior Manager, AI/ML

AI/ML Expertise
Cloud Services (AWS, Azure, GCP)
Scalable Infrastructure Development
Strategic Communication
Business Acumen
Technology Strategy Development
Stakeholder Engagement