Senior Data Scientist (MLOps)

Cathcart Associates Group Ltd; City Of London; Hybrid; GBP 70,000 - 95,000; Full time

Job summary

An innovative tech organization is seeking a Senior Data Scientist specializing in MLOps to join their dynamic team in London. This role offers a unique opportunity to work with cutting-edge technologies in a collaborative environment. You will play a critical role in bridging data science and platform engineering, ensuring the reliability and scalability of machine learning models in production. The company is known for its positive culture and commitment to employee growth, making it an exciting time to become part of their journey as they expand their operations. If you are passionate about MLOps and want to make a significant impact, this position is perfect for you.

Qualifications

• Experience as a Senior Data Scientist with a focus on MLOps.
• Strong knowledge of ML models and observability tools.

Responsibilities

• Support ML teams in deploying and maintaining models in production.
• Optimize model performance and refine deployment pipelines.

Skills

Machine Learning expertise

Python

SQL

Spark

Apache Airflow

ML frameworks (PyTorch, TensorFlow, Scikit-Learn)

Cloud platforms (preferably AWS)

Containerization technologies

Job description

A world-class Tech Organisation is looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis. This is an opportunity to work in an innovative environment with cutting-edge technologies.

The company:

The organization has been successful for over twenty years and is recognized as a market leader in their sector. With a global footprint, their products are used by millions daily.

They are entering an exciting growth phase and are recruiting for several new positions. It's a great time to join their team.

The company fosters a positive and welcoming culture, resulting in low attrition rates and long, successful careers for many staff members.

The role:

You will join a multi-disciplinary senior squad of about 6 members, including Principal and Senior Software Engineers, Data Engineers, and Data Scientists. Your main responsibilities will include supporting machine learning teams in deploying and maintaining models in production, ensuring reliability, scalability, and adherence to best practices.

You will optimize model performance, mitigate risks, and refine deployment pipelines to meet governance and regulatory standards. Collaboration with the ML platform team will be essential, especially advocating for effective use of tools like feature stores and model registries.

This role acts as a bridge between data science and platform engineering teams, promoting MLOps best practices, resolving bottlenecks in inference and retraining pipelines, and addressing production issues to improve system robustness and cost efficiency.

Key skills and experience:

• Prior experience as a Senior Data Scientist with Machine Learning expertise
• Strong understanding of ML models and observability tools
• Proficiency in Python and SQL
• Experience with Spark and Apache Airflow
• Knowledge of ML frameworks (PyTorch, TensorFlow, Scikit-Learn)
• Experience with cloud platforms, preferably AWS
• Experience with containerization technologies

Useful information:

Their offices are located in central London with support for hybrid working. You will be expected onsite about twice a week, with flexible scheduling.

Their salary range is competitive, from £70,000 to £95,000, depending on experience, with excellent benefits including multiple bonuses and more.

If you’re interested in learning more, please contact Matthew MacAlpine at Cathcart Technology.