Senior Machine Learning Engineer | London (Hybrid – 2 days a week in office) | £75,000 - £95,000

About the Role

We’re partnering with an award winning industry leader in Customer AI Analytics and Data Science to find aSenior Machine Learning Engineerwho thrives in innovation-driven, data-intensive environments. This is your chance to work at the forefront of AI and data analytics, designing scalable ML systems and delivering cutting-edge AI solutions that shape how businesses understand and interact with their customers.

Our client’s AI-powered platform processes over 100 billion interaction events daily, empowering global enterprises to transform customer behaviour insights into tangible business results. You’ll play a pivotal role in enhancing this platform, ensuring it continues to deliver world-class insights and drives measurable outcomes.

What You’ll Do:

As a Senior Machine Learning Engineer, you will:

• Build and Scale ML Platforms:Design and manage end-to-end data and ML pipelines, enabling seamless product development and deployment.
• Productionise AI Models:Deploy and maintain machine learning models, ensuring scalability, performance, and security throughout the lifecycle.
• Innovate at Scale:Implement advanced orchestration frameworks and distributed data processing systems, processing terabytes of data daily.
• Collaborate Across Teams:Work closely with data scientists, product teams, and engineers to ensure efficient workflows and impactful AI solutions.
• Drive Best Practices:Lead by example, fostering a culture of experimentation, learning, and continuous improvement within the team.

What We’re Looking For:

Must-Have Skills and Experience:

• 7+ years of experience writing clean, production-grade code with a focus on data engineering, ML, and MLOps.
• Expertise in distributed data processing (e.g., Spark, Databricks), handling multi-terabyte datasets.
• Proficiency in Python and designing large-scale, data-intensive applications.
• Experience with CI/CD pipelines for deploying and managing AI models at scale.
• Strong hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Strong experience with orchestration frameworks such as Kubernetes or Dagster
• Ability to orchestrate data and ML pipelines and ensure models perform reliably in production.

Nice-to-Have Skills:

• Familiarity with TensorFlow

Why Join Our Client?

• Cutting-Edge Technology:Work on AI solutions that drive measurable business impact.
• Award-Winning Employer:Awarding winning AI products, Award winning Culture and a top employer in Women in Tech awards.
• Growth Opportunities:Be part of a rapidly growing organisation with a global presence.
• Hybrid & Flexible Working:Balance work and life with a setup that suits you