Software Engineer (MLOps / LLMOps)

JR United Kingdom
London
2 days ago
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Software Engineer (MLOps / LLMOps), london

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Client:

Codesearch AI

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

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.

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