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

Apply Now

Product Team Lead

Harrington Starr
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Science

Data Science

Senior Data Scientist

Senior Data Scientist - Fixed Term Contract

Data Scientist

Data Scientist - Fixed Term Contract

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.

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 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.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.