Cloud MLOps Engineer Databricks Specialist - London, UK

Capgemini; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Wellbeing program

Extensive training & certifications

Disability Confident Employer

Job summary

Capgemini is seeking an experienced Cloud MLOps Engineer Databricks Specialist to lead ML workloads and MLOps on the Global AI Platform. You will configure Databricks-based development and deployment frameworks, implement model training, deployment monitoring and governance, and build CI/CD pipelines for ML lifecycle management.

You will drive pilot model implementations, create reusable migration accelerators, and work within a hybrid model blending client sites, Capgemini offices, and remote

Qualifications

• Experience implementing ML workloads on the Databricks platform.
• Proficiency in ML lifecycle management and MLOps
• Strong Python coding and production ML deployment skills
• Familiarity with Databricks ML components (MLflow, Unity Catalog, workflows) and model serving

Responsibilities

• Implement ML workloads and MLOps capabilities on the Global AI Platform.
• Configure and optimise Databricks-based ML development and deployment frameworks.
• Build CI/CD pipelines and automation for ML lifecycle management.
• Lead technical implementation of pilot models on the Global AI Platform.
• Develop reusable migration accelerators and standards.

Skills

Databricks Platform

MLflow

Unity Catalog

Model Serving

CICD for ML

MLOps Automation

Python

Production ML

Tools

Databricks ML

MLflow

Unity Catalog

Job description

About the Job you are considering:We are seeking experienced Cloud MLOps Engineer Databricks Specialist with strong expertise in Banking domain who will overseeing the planning, execution, and successful delivery of projectsHybrid working:The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.Your Role:Purpose Implement ML workloads and MLOps capabilities on the Global AI PlatformConfigure and optimise Databricksbased ML development and deployment frameworksImplement model training deployment monitoring and governance capabilitiesAdapt or develop frameworks required to support migrated workloadsBuild CICD pipelines and automation for ML lifecycle managementLead technical implementation of pilot models on the Global AI PlatformDevelop reusable migration accelerators and standardsYour Skills:Databricks Lakehouse PlatformDatabricks ML MLflow Unity Catalog Workflows and Model Serving CICD and MLOps automationPython and production ML deployment patternsWe are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.Make It Real (what does it mean for you):You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.You will be joining one of the World’s Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.Why you should consider Capgemini:Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.Make it real | www.capgemini.com