Senior Machine Learning Engineer

Primus Connect; City Of London; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

A cutting-edge technology firm is seeking a Senior Machine Learning Engineer to lead impactful projects in London. You'll deploy ML models in production, mentor junior engineers, and apply MLOps best practices. The ideal candidate has 5+ years of experience, with strong skills in Python and SQL, and expertise in Databricks. This role offers a competitive salary of up to £85k plus bonuses, with a hybrid working model.

Benefits

Bonus

Benefits

Qualifications

• 5+ years of hands-on experience in ML/Data Science.
• Strong track record of deploying models in production.
• Advanced proficiency in Python and SQL.

Responsibilities

• Lead technical delivery across high-impact client engagements.
• Architect, train, and deploy production-grade models.
• Apply MLOps best practices to maintain scalable ML systems.

Skills

Machine Learning

Data Science

Python

SQL

MLOps

Tools

Databricks

AWS

Azure

GCP

Job description

Overview

Senior Machine Learning Engineer - Up to £85k + Bonus + Benefits

Hybrid | Central London - 2/3 days onsite
Specialising in Databricks | MLOps | Cloud | Python | SQL

Are you a seasoned ML Engineer ready to lead cutting-edge projects and shape the future of data-driven innovation?

Kubrick Advanced is seeking a Senior Machine Learning Engineer to join our elite community of technical experts. This is a unique opportunity to work at the forefront of machine learning delivery, collaborating with industry leaders like Databricks and driving impactful solutions for top-tier clients.

Responsibilities

• Lead technical delivery across high-impact client engagements, ensuring excellence in ML solutions.
• Architect, train, and deploy production-grade models using Databricks and cloud platforms (AWS, Azure, or GCP).
• Apply MLOps best practices to maintain scalable, reliable ML systems.
• Translate complex business challenges into robust, data-driven solutions.
• Mentor and manage junior engineers, fostering a culture of curiosity and collaboration.
• Contribute to internal Centres of Excellence and help shape advanced capabilities.

Qualifications

• 5+ years of hands-on experience in ML/Data Science, with a strong track record of deploying models in production.
• Advanced proficiency in Python and SQL.
• Practical experience with Databricks MLFlow
• Proven leadership in technical delivery and team management.
• Excellent communication skills and commercial awareness.

Ready to take your ML career to the next level?

Apply now and become a driving force in data innovation