This range is provided by Albany Growth. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Hybrid (London – 3 days on-site)

Albany Growth are partnering with a mission-led impact tech focused company backed by a top-tier VC to hire a Machine Learning Team Lead. This is a hands-on leadership role, guiding the ML function across an innovative platform.

You’ll be part of forming the the ML strategy and roadmap, leading a talented team of applied ML engineers, and driving 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)

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.

Hybrid (London – 3 days on-site)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media

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