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

Apply Now

Head of Product (advanced analytics & machine learning)

Wyatt Partners
City of London
3 days ago
Create job alert
Head of Product (advanced analytics & machine learning)

Wyatt Partners are working with the CEO of a privately funded FinTech company, to hire a Head of Product.

The Company’s founders have broad experience across Financial Services & a track record of investing in Start-ups. The company have already broken even and are looking to expand into new clients.

Part of the business is an Advanced Analytics & Machine Learning platform that integrates into enterprises ERP systems giving them insights into how to free up capital & increase profitability.

The Head of Product will:

  • Define & Develop the product roadmap
  • Product & Tech requirement gathering, defining & agreeing scope of projects
  • Manage & onboard new clients
  • Recruit for & build the product team

Requirements include:

  • Strong pedigree in Data Science & Advanced Analytics (not hands on, but from a Product leadership perspective)
  • Experience of defining & running projects
  • Presenting to & managing stakeholders at a C-level
  • Strong ‘translator’ experience. Equally comfortable communicating with Tech & Business stakeholders.

We are ideally looking for a candidate who has worked in both Management Consulting & Technology companies, with strong experience of transformation & technical operations.

The company offer an unstructured & highly entrepreneurial culture, with little corporate hierarchy. They are not VC backed and therefore are not chasing growth for the sake of growth; they are building a lean & agile company with the ability to deliver exceptional profit margins.

Strong basic salary & exceptional potential bonus structure available.

Please reach out if you’d like to discuss further.


#J-18808-Ljbffr

Related Jobs

View all jobs

Product Data Science Lead

Product Data Science Lead

Product Data Science Lead

Head of Data Science

Machine Learning Engineer

Data Scientist

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.