MLOps Engineer

3 weeks ago


London, Greater London, United Kingdom VE3 Full time
Job Title: MLOps Engineer

About the Company:

VE3 is a dynamic and innovative company committed to delivering exceptional solutions that empower our clients to succeed. With our headquarters in the UK and a global footprint across the US, Noida, and Pune in India, we bring a decade of expertise to every endeavour, driving real results.

Job Overview:

We are seeking an experienced MLOps Engineer with a strong background in building and deploying machine learning (ML) and large language models (LLMs). The ideal candidate will have mastery in data science platforms, significant software engineering experience, and expertise in LLMOps best practices. This role involves working on high-scale AI deployments, optimising LLM pipelines, and implementing responsible AI techniques.

Key Responsibilities:

• Build, deploy, and manage ML and LLM models on cloud-native platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).

• Utilize LLM-specific frameworks like LangChain, LangGraph, and LlamaIndex to develop sophisticated solutions, incorporating prompt engineering and dynamic response handling.

• Apply LLMOps best practices for model development, training, fine-tuning, and monitoring, ensuring scalability and high availability.

• Drive software engineering efforts focused on scaling LLM and ML models in low-latency, high-throughput production environments.

• Implement responsible AI practices, integrating LLM guardrails to maintain model reliability and ethical standards in production.

• Streamline response generation with data/LLM response streaming and parallelized workloads to enhance model performance.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

• 8+ years of relevant experience, including mastery in data science platforms such as Microsoft Azure, AWS, or GCP for building and deploying ML and LLM models.

• Significant software engineering experience with a focus on ML/LLM model production, scalability in low-latency environments, and responsible AI implementation.

Benefits:

• Competitive salary and comprehensive benefits package.

• Opportunity to work in a dynamic and challenging environment on critical migration projects.

• Professional growth opportunities in a supportive and forward-thinking organization.

• Health Insurance

• Employee Assistance program

• Engagement with cutting-edge SAP technologies and methodologies in data migration
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