Senior Data Scientist (MLOps)

A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis – opportunity to join a really innovative environment where you’ll work with cutting edge technologies.

The company:

The organisation has been running very successfully for over twenty years and is recognised as a market leader in their sector. They have a global footprint, and their products are used by millions of users every single day.

They are entering a really exciting period of growth and are recruiting for a number of new positions to the business as they’ve got pretty big plans for the next few years – so it’s genuinely a great time to join.

They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as many of their staff members have long and successful careers with the business.

The role:

You’ll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principal and Senior Software Engineers, Data Engineers, and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices.

You’ll be involved in optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries.

This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency.

Key skills and experience:

1. Prior Senior Data Scientist with Machine Learning experience
2. Strong understanding and experience with ML models and ML observability tools
3. Strong Python and SQL experience
4. Experience with Spark / Apache Airflow
5. ML framework experience (PyTorch / TensorFlow / Scikit-Learn)
6. Experience with cloud platforms (preferably AWS)
7. Experience with containerization technologies

Useful information:

Their offices are based in central London where they support hybrid working; you’ll be expected on-site about twice a week, however they are really flexible about what days.

They’re offering a very competitive salary from £70,000 – £95,000, depending on experience, with great benefits to match (which include multiple bonuses and more!).

If you’re keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.

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