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Lead Data Scientist

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Onsite

Lead Data Scientist

Burns Sheehan

Lead Data Scientist

Skills

Data EngineeringPythonData ScienceDatabricksMachine Learning

1 month ago

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Important information


Contract type:

Permanent

Salary:

£80,000 – £100,000 / year

Location:

Manchester, UK

Work mode:

Onsite

Published on:

18 September 2026

What they need


🚀 Hiring: Data Science / Machine Learning Engineering Lead | Remote UK

📍 Remote-first UK role - Commutable to Manchester once a month

🤝 Engineering meetup once a month (Manchester, first Tuesday)

🌍 Full company meetup once a quarter

💰 Competitive salary package (£90k-£100k+ depending on experience)

I’m working with a long established growing technology business looking for a Data Science / Machine Learning Engineering Lead to take ownership of a key part of their platform.

This is a role for someone who sits between ML engineering, data science and technical leadership. Someone who still enjoys getting into the detail of models and architecture, but also loves building teams, mentoring people and turning technical vision into something that gets delivered.

You’ll be joining a team working on complex data problems at scale, including:

🔹 Building and improving production machine learning models

🔹 Owning the full ML lifecycle, from development through to deployment, monitoring and optimisation

🔹 Working with large-scale streaming data environments

🔹 Helping shape technical direction and platform strategy

🔹 Leading and developing a talented team across ML Engineering, Data Science and Data Engineering

They’re looking for someone with:

✅ Strong commercial Machine Learning experience

✅ Python experience

✅ Recent experience with Apache Spark

✅ Experience building and deploying ML models in production

✅ A track record of leading and developing engineers/data scientists

Databricks experience would be beneficial, but strong fundamentals and the ability to pick up new technologies are key.

If you’re a technically strong ML leader who wants genuine ownership over how a platform evolves, I’d love to chat.

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