Senior AI Product Manager

Grethena
Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior/Principal Product Manager - Machine Learning and AI

Senior AI Engineer | GenAI | Information Retrieval | ML | NLP | Hybrid London | Up to £130k

Senior AI Engineer | GenAI | Information Retrieval | ML | NLP | Hybrid London | Up to £130k

Senior Machine Learning Scientist (User Modelling/Representation Learning) - Viator

Machine Learning Engineer (Databricks)

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.