Data Science Team Lead

Burns Sheehan Limited; Manchester; Remote; GBP 90,000 - 100,000; Full time

Job summary

Burns Sheehan is seeking a Lead Data Scientist / Machine Learning Team Lead in the UK. The role combines ML engineering, data science and technical leadership with ownership of platform evolution. You'll lead a talented team and drive production ML initiatives, including monitoring, deployment and strategic direction.

The position offers remote UK work with monthly travel to Manchester and quarterly in-person meetups, and a competitive salary of £90k-£100k+ depending on experience.

Qualifications

• Strong commercial Machine Learning experience.
• Experience building and deploying ML models in production.
• Recent experience with Apache Spark.
• Track record of leading and developing engineers/data scientists.

Responsibilities

• Build and improve production machine learning models.
• Own the full ML lifecycle from development to deployment, monitoring and optimisation.
• Work with large-scale streaming data environments.
• Help shape technical direction and platform strategy.
• Lead and develop a team across ML Engineering, Data Science and Data Engineering.

Skills

Python

Apache Spark

Production ML

Team leadership

ML engineering

Tools

Databricks

Job description

Lead Data Scientist/Data Science/Machine Learning Team Lead

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.

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.