Director of Machine Learning

Albany Growth
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Associate Director, AI & Advanced Analytics

💻 Director of Machine Learning

🧑🏼‍💻 (Lead / Senior / Managers considered too)

📍 Hybrid (London – 3 days on-site)

🌍 Series A Impact Tech Business

💵 £100k - £130k + Meaningful Equity


Albany Growth are partnering with amission-led impact tech focused companybacked by a top-tier VC to hire aDirector of Machine Learning. This is a hands-on leadership role, guiding the ML function across an innovative platform.


For this role, we are also open to people who don’t necessarily come from a director level background but may have been working in a management, tech lead or senior level role.


You’ll own the ML strategy and roadmap, lead a talented team of applied ML engineers, and drive delivery across areas such as generative AI, geospatial analysis, computer vision, and hybrid physical-ML models. This is a chance to tackle real-world problems with high impact, blending deep tech with urgent purpose.


Key Responsibilities

  • Define and evolve the company’s AI & ML strategy and technical roadmap
  • Lead and scale a team of ML Engineers, providing coaching, mentorship, and technical direction
  • Take ownership of ML model development across generative AI, geospatial data, computer vision, and time-series forecasting
  • Bridge the gap between physics-based risk modelling and applied machine learning
  • Drive models from prototype through to production with high standards of observability and maintainability
  • Collaborate with Product, Science, and Engineering stakeholders to translate complex technical ideas into customer-facing impact
  • Contribute to a high-trust, high-performance leadership culture


Key Requirements

  • 3+ years leading applied ML teams (with strong hands-on IC background)
  • Proven experience shipping ML models to production and generating real product value
  • Expertise in Python and ML libraries such as PyTorch, TensorFlow, or scikit-learn
  • Depth in one or more areas: generative AI, geospatial ML, computer vision, time-series forecasting
  • Excellent stakeholder communication and the ability to align ML with business value
  • Startup or scale-up mindset – comfortable working in lean, fast-paced environments


📍Hybrid working (3 days/week on-site in London)

💵£100k - £130k base + meaningful equity

📈Series A scale-up backed by a global VC

🌍Mission-driven product used by business leaders

💡Solve real-world challenges using cutting-edge ML


If you’re excited about the opportunity to utilise tech for good through ML innovation, apply using the link and we’ll be in touch with the details.


💻 Director of Machine Learning

🧑🏼‍💻 (Lead / Senior / Managers considered too)

📍 Hybrid (London – 3 days on-site)

🌍 Series A Impact Tech Business

💵 £100k - £130k + Meaningful Equity

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.