Senior Data Scientist (MLOps)

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

Job summary

Join a world-class tech organization as a Senior Data Scientist (MLOps) in London. This role offers the chance to work in an innovative environment with cutting-edge technologies. Collaborate with a multidisciplinary team to support machine learning teams, ensuring the reliability and scalability of models in production. With a competitive salary and a hybrid working model, this is an exciting opportunity to contribute to a market leader during a growth phase. Embrace a positive culture that fosters long-term careers and make a significant impact in the field of data science and MLOps.

Qualifications

• Prior experience as a Senior Data Scientist with Machine Learning expertise.
• Strong understanding of ML models and observability tools.

Responsibilities

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

Skills

Machine Learning Expertise

Python

SQL

ML Frameworks (PyTorch, TensorFlow, Scikit-Learn)

Cloud Platforms (AWS)

Containerisation Technologies

Job description

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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 and is recognized as a market leader in its 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, making it a great time to join.

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

The role:

You will join a multidisciplinary Senior squad of about 6 members, including Principal and Senior Software Engineers, Data Engineers, and Data Scientists. Your responsibilities 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, refine deployment pipelines to meet governance standards, and collaborate with the ML platform team on tools like feature stores and model registries.

This role bridges data science and platform engineering, promoting MLOps best practices, resolving bottlenecks, 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 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 hybrid working. You are expected onsite about twice a week, with flexible scheduling.

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