Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior AI Product Manager

Grethena
Manchester
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior AI Agent Engineer (Machine Learning)

Senior Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Scientist

Staff Machine Learning Scientist

Job Title: Senior AI Product Manager

Location:

Any where in World, preferable to be in UK or Dubai(Sponsorship provided for UK or Dubai)


About the Role:

Our client, a leading strategy and innovation consulting firm, is seeking a Senior AI Senior AI Product Manager to spearhead the growth and development of their AI practice. This role is ideal for a dynamic professional with elite consultancy experience who can build and scale the practice by acquiring new clients, leveraging their existing network, and driving measurable value.

This position is focused on creating and expanding a new client base, utilising a robust network of contacts to establish the practice's reputation, deliver innovative AI-driven solutions, and enhance its market presence.


Key Responsibilities:

  • Building the Practice: Establish and grow the AI Transformation practice by acquiring new clients, leveraging an existing network, and developing innovative capabilities that differentiate the practice.
  • AI Strategy Development: Design and execute advanced AI strategies tailored to solve complex client challenges and unlock growth opportunities.
  • Business Development: Identify, pitch, and secure high-value new logos, driving the practice's growth and market presence in the AI space.
  • Client Success Delivery: Lead multi-disciplinary teams to deliver impactful AI initiatives, ensuring alignment with client objectives and achieving measurable results.
  • Executive Collaboration: Partner with C-suite executives to align AI strategies with organisational goals, ensuring buy-in and advocacy for AI initiatives.
  • Thought Leadership: Position the practice as a leader in the AI domain through industry engagement, publications, and advocacy for responsible AI practices.
  • Capability Development: Recruit, mentor, and build a high-performing team within the AI practice, fostering innovation and operational excellence.


Required Experience and Skills:

  • Elite Consultancy Experience: Background with top-tier consulting firms with a focus on delivering transformative AI strategies.
  • Established Network: A strong black book of contacts within relevant industries, with the ability to leverage relationships to generate new business and build the practice's reach.
  • Practice Building: Proven ability to establish and scale a practice or team, including acquiring new clients and developing innovative service offerings.
  • Business Development Expertise: Demonstrable success in securing high-value clients and creating lasting relationships in the AI or digital transformation space.
  • Strategic Leadership: Expertise in defining and executing AI strategies that deliver significant business outcomes.
  • C-suite Engagement: Experience working with senior executives to drive alignment and communicate the value of AI initiatives.
  • AI and Machine Learning Expertise: Strong understanding of AI models, frameworks, and analytics, with the ability to bridge technical and business perspectives.
  • Education: Advanced degree in AI, Data Science, Computer Science, Business, or a related field.


Why Join?

  • This is a rare opportunity to lead and shape an AI practice from the ground up, leveraging your expertise and network to create meaningful impact. If you thrive on building relationships, delivering results, and driving innovation, we encourage you to explore this role further.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.