Senior Data Scientist (MLOps)

TN United Kingdom; City Of London; Hybrid; GBP 70,000 - 95,000; Full time

Job summary

A leading tech organization is seeking a Senior Data Scientist (MLOps) in London. This role involves supporting machine learning teams and optimizing model performance in a hybrid working environment. Join a multidisciplinary team and contribute to innovative projects while enjoying competitive benefits and a positive work culture.

Qualifications

• Experience as a Senior Data Scientist with a focus on Machine Learning.
• Proficiency in Python and SQL.
• Familiarity with ML frameworks and cloud platforms.

Responsibilities

• Support ML teams with deploying and maintaining models in production.
• Optimize model performance and refine deployment pipelines.
• Collaborate with ML platform team on tools like feature stores.

Skills

Machine Learning

Python

SQL

ML frameworks (PyTorch, TensorFlow, Scikit-Learn)

Cloud platforms (preferably AWS)

Containerisation technologies

ML models and observability tools

Job description

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Senior Data Scientist (MLOps), City of London

Client:

Cathcart Technology

Location:

City of London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

fe4ac639773a

Job Views:

6

Posted:

23.05.2025

Expiry Date:

07.07.2025

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 organisation has been successful for over twenty years, recognized as a market leader in their sector. They have a global presence, with products used by millions daily.

They are entering an exciting growth phase, recruiting for several new positions, with big plans for the coming years. It's a great time to join.

They promote a positive, welcoming culture, resulting in low attrition rates and long, successful careers for staff.

The role:

You will join a multidisciplinary senior team of about 6 members, including Principal and Senior Software Engineers, Data Engineers, and Data Scientists. Your tasks will include supporting machine learning teams with deploying and maintaining models in production, ensuring reliability, scalability, and adherence to best practices.

Your responsibilities include optimizing model performance, mitigating risks, refining deployment pipelines to meet governance and regulatory standards, and collaborating with the ML platform team on tools like feature stores and model registries.

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

Key skills and experience:

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

Useful information:

Their offices are in central London with support for hybrid working. Expect onsite presence about twice a week, with flexible scheduling.

They offer a competitive salary from £70,000 to £95,000, depending on experience, with excellent benefits including multiple bonuses and more.