Technical Product Lead (Machine Learning & AI)
Technical Product Lead (Machine Learning & AI)

Technical Product Lead (Machine Learning & AI)

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team to deliver cutting-edge AI and ML products for enhanced customer experience.
  • Company: Join a large corporate undergoing a major digital transformation focused on AI and ML solutions.
  • Benefits: Enjoy flexible working options and the chance to shape innovative technology solutions.
  • Why this job: Be part of a pivotal digital transformation in one of the UK's largest companies, impacting real change.
  • Qualifications: Experience in Data Science or AI, with strong communication skills and a background in tech roles.
  • Other info: Opportunity to work closely with senior stakeholders and influence product direction.

The predicted salary is between 43200 - 72000 £ per year.

A large corporate undergoing major digital & data transformation, implementing AI & ML solutions to enhance Customer Experience. They are seeking a Head of Technical Product to join their internal “Software Scale-up” team. You will work with a group dedicated to delivering ML & AI products to various product leaders and senior stakeholders within the organization.

Your responsibilities include building and leading a team of 4 Technical Product Managers and serving as the bridge between Engineers/Developers and business stakeholders. The ideal candidate likely started as a Developer or Data Scientist and has transitioned into a Product Owner, Product Manager, or Business Analyst role. Strong communication skills with both technical and business audiences are essential. You will play a pivotal role in one of the UK’s largest Digital & AI transformations.

Technical Experience:

  • Background in Data Science, AI, or advanced Analytics
  • Knowledge of data architecture and data processing technologies
  • Experience with Python and SQL
  • Familiarity with microservices and event-driven architectures
  • Experience building data-driven software applications in areas such as:
  • AI
  • Data Science / Analytics
  • Decision support systems
  • Automation
  • E-commerce
  • Call centre tooling
  • Operational management tooling
  • ML and/or Data Ops

Technical Product Lead (Machine Learning & AI) employer: Wyatt Partners

Join a leading corporate at the forefront of digital transformation, where innovation meets opportunity. As a Technical Product Lead, you will thrive in a collaborative work culture that values creativity and encourages professional growth, with access to cutting-edge AI and ML technologies. Enjoy a supportive environment that fosters teamwork and offers unique advantages such as flexible working arrangements and a commitment to employee development.
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Contact Detail:

Wyatt Partners Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Technical Product Lead (Machine Learning & AI)

Tip Number 1

Network with professionals in the AI and ML space. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us are looking for in a Technical Product Lead.

Tip Number 2

Showcase your technical expertise by engaging in relevant projects or contributing to open-source initiatives. This not only enhances your skills but also demonstrates your commitment to the field, making you a more attractive candidate for our team.

Tip Number 3

Prepare to discuss your experience in bridging the gap between technical teams and business stakeholders. Be ready to share specific examples of how you've successfully managed cross-functional teams and delivered impactful products in previous roles.

Tip Number 4

Familiarise yourself with our company culture and values. Understanding what we stand for will help you tailor your conversations during interviews, showing that you're not just a fit for the role, but also for our team dynamic.

We think you need these skills to ace Technical Product Lead (Machine Learning & AI)

Technical Product Management
Machine Learning
Artificial Intelligence
Data Science
Advanced Analytics
Data Architecture
Data Processing Technologies
Python Programming
SQL Proficiency
Microservices Architecture
Event-Driven Architecture
Software Development Lifecycle
Team Leadership
Stakeholder Management
Communication Skills
Cross-Functional Collaboration
Agile Methodologies
Problem-Solving Skills
Customer Experience Enhancement
Data-Driven Decision Making

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI, ML, and data science. Emphasise any roles where you acted as a bridge between technical teams and business stakeholders, showcasing your communication skills.

Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and ML solutions. Mention specific projects or experiences that demonstrate your ability to lead teams and deliver results in a digital transformation context.

Showcase Technical Skills: Clearly outline your technical expertise in Python, SQL, and data architecture. Provide examples of how you've used these skills in previous roles, particularly in building data-driven applications.

Highlight Leadership Experience: Discuss your experience in leading teams, especially if you've managed Technical Product Managers or similar roles. Illustrate how you've successfully guided teams through complex projects and transformations.

How to prepare for a job interview at Wyatt Partners

Showcase Your Technical Background

Make sure to highlight your experience in Data Science, AI, or advanced analytics during the interview. Discuss specific projects where you used Python and SQL, as well as any familiarity with microservices and event-driven architectures.

Demonstrate Leadership Skills

Since the role involves leading a team of Technical Product Managers, be prepared to discuss your leadership style and experiences. Share examples of how you've successfully managed teams and bridged the gap between technical and business stakeholders.

Communicate Effectively

Strong communication skills are essential for this position. Practice explaining complex technical concepts in simple terms, as you'll need to convey ideas to both technical and non-technical audiences. Consider preparing a few scenarios where you've successfully done this in the past.

Understand the Company's Digital Transformation Goals

Research the company's current digital and data transformation initiatives. Be ready to discuss how your skills and experiences align with their goals, particularly in enhancing customer experience through AI and ML solutions.

Technical Product Lead (Machine Learning & AI)
Wyatt Partners
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