Software Engineer (MLOps / LLMOps)

Help to revolutionise a fast-moving industry with cutting-edge AI:

Our client is a globally recognised brand with deep-rooted expertise. They are heavily invested in leveraging AI to combine their domain expertise with SOTA techniques, solidifying their position as a leader in the field. You'll join a global team with a distributed set of skills including Research, Applied AI and Engineering.

They are seeking MLOps Engineers to help architect the future of communication through AI. This isn't just another engineering role – it's an opportunity to pioneer systems that transform how companies connect with their customers

What You’ll Be Doing

You'll be designing and optimising production-grade MLOps pipelines that bring cutting-edge Generative AI and LLMs from experimentation to real-world impact. Your expertise will directly influence how some of the world's leading brands enhance their strategies.

What You'll Build

• Production-Ready GenAI Infrastructure: Design and deploy scalable MLOps pipelines specifically optimized for GenAI applications and large language models
• State-of-the-Art Model Deployment: Implement and fine-tune advanced models like GPT and similar architectures in production environments
• Hybrid AI Systems: Create solutions that integrate traditional ML techniques with cutting-edge LLMs to deliver powerful insights
• Automated MLOps Workflows: Build robust CI/CD pipelines for ML, enabling seamless testing, validation, and deployment
• Cost-Efficient Cloud Infrastructure: Optimize cloud resources to maximize performance while maintaining cost efficiency
• Governance and Versioning Systems: Establish best practices for model versioning, reproducibility, and responsible AI deployment
• Integrated Data Pipelines: Utilize Databricks to construct and manage sophisticated data and ML pipelines
• Monitoring Ecosystems: Implement comprehensive monitoring systems to ensure reliability and performance

What You’ll Need

• 5+ years of hands-on experience in MLOps, DevOps, or ML Engineering roles
• Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT)
• Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face)
• Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services
• Practical experience with Docker, Kubernetes, and container orchestration
• Databricks expertise, including ML workflows and data pipeline integration
• Familiarity with MLflow, DVC, Prometheus, and Grafana for versioning and monitoring
• Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience)
• Fluency in written and spoken English

The Person We're Looking For

• You're abuilder at heart– someone who loves creating scalable, production-ready systems
• You balancetechnical excellencewithpragmatic delivery
• You're excited aboutpushing boundariesin GenAI and LLM technologies
• You cancommunicate complex conceptseffectively to diverse stakeholders
• You enjoymentoring junior team membersand elevating the entire technical organization

What Makes This Opportunity Special

You'll be working with a modern data stack designed to process large-scale information, automate analysis pipelines, and integrate seamlessly with AI-driven workflows. This is your chance to make a significant impact on projects that push the boundaries of AI-powered insights and automation in industry.