Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Product Lead

Cornhill, Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

Product Manager - Data Science Integrations

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Data & ML Product Lead  

London (Hybrid)

£85,000 - £105,000

We’re partnered with one of the UK’s leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help the customers, take on new technologies and develop business outclass.

The Data & ML Product Lead will focus on the data and machine learning products and aim to drive the data strategy, development and delivery of the organisation. The position will benefit from hybrid working of 3 days a week onsite from their London office.

Responsibilities of the Data & ML Product Lead:

Drive the Data Product strategy that aligns with the business data strategy and goals.
Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully 
Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products
Track the data product performance to drive continuous improvement
Requirements of the Data & ML Product Lead:

5+ years’ experience in Data product management with a background delivering data products
Experience managing and establishing governance 
Strong understanding of Azure products such as Databricks
Good background in Machine Learning (ML) analytics and deploying products 
Proven ability to mentor teams and lead continuous improvement in the data environment
Excellent communication skills, attention to detail and self-starter
To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on  

If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).

To be the first to hear about other exciting opportunities, technology and recruitment news, please also follow us at ‘VIQU IT Recruitment’ on LinkedIn, and Twitter: @VIQU_UK

Data & ML Product Lead  

London (Hybrid)

£85,000 - £105,000

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.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.

Pre-Employment Checks for AI Jobs: DBS, References & Right-to-Work and more Explained

The artificial intelligence sector in the UK is experiencing unprecedented growth, with companies across industries seeking talented professionals to drive digital transformation. However, securing a position in this competitive field involves more than just demonstrating technical expertise. Pre-employment checks have become an integral part of the hiring process for AI jobs, ensuring organisations maintain security, compliance, and trust whilst building their teams. Whether you're a data scientist, machine learning engineer, AI researcher, or technology consultant, understanding the pre-employment screening process is crucial for navigating your career journey successfully. This comprehensive guide explores the various types of background checks you may encounter when applying for AI positions in the UK, from basic right-to-work verification to enhanced security clearance requirements.