National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Product Team Lead

Harrington Starr
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst - TikTok LIVE - London

Senior Product Data Analyst

Data Science Manager

Product Data Analyst

Engineering Technical Data Project Engineer

Head of AI Acceleration & Delivery

Want to work within a team of passionate developers who have the strong belief that putting analytical minds together, you will create the next best generation software?


Join a data analytics scale-up fintech who began their journey just over 8 years ago and have been hugely successful within their market. They are a seeking a unique individual who loves to take ownership of the projects they work on whilst leading a team of strong Python Engineers.


Hybrid working role with flexible working hours based in the City of London.


Be given the opportunity to come in early days within a growing firm and a growing team, working in an open and collaborative environment, bouncing ideas off each other to bring this business on further.


This role involves leading a development team of 8 engineers, working alongside the SaaS applications Product Manager. You will be building AWS cloud-native data science and visualisation applications, using Python, React, Typescript and AWS.


Responsibilities:

  • Lead and manage a development team of Python and Typescript engineers
  • Develop technology roadmaps aligned with business goals
  • Oversee the application design and development, with effective strategies for testability and product quality.
  • Ensure the architecture of the system aligns with best practice and meets the goals for scalability, reliability & security


You will need:

  • Proven experience in managing a development team
  • Expertise in developing single-tenant and multi-tenant B2B SaaS applications
  • Proficient in architecture design using AWS services
  • Experience in hands-on Engineering (Production level Python) - Not just scripting!
  • Experience in data science and financial data visualisation applications in Typescript
  • Excellent communication skills, with the ability to communicate fluently with both technical and non-technical audiences
  • Experience with data science tools, e.g. one or more of Spark, pandas, DuckDB, DataBricks, Snowflake
  • Knowledge of agile development and continuous delivery methodologies


Contact Ciara Clarke at Harrington Starr for a confidential discussion on this role.

National AI Awards 2025

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.

Jobs

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Jobs

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.