DevOps Engineer (machine learning)

JR United Kingdom; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading International Law firm in London is seeking a DevOps Engineer specialized in machine learning. The role involves managing solution deployments, writing automation code, and implementing cloud technologies tailored to legal requirements. Candidates should have significant experience in infrastructure and DevOps, particularly with Microsoft Azure, and a strong interest in AI technologies.

Qualifications

• At least 5 years of infrastructure experience, including 3+ years in DevOps.
• Strong cloud engineering skills with an interest in AI/LLM technologies.

Responsibilities

• Manage solution deployment and diagnose production challenges.
• Write automation code to enhance operational efficiency.
• Research developments in AI, machine learning, and NLP.

Skills

Python

Cloud Engineering

AI/LLM Technologies

Job description

Job Description:

We are working with a leading International Law firm that is looking to hire a LLM Engineer to join their team in London on a permanent basis.

The successful candidate will:

• Manage solution deployment, diagnose production challenges, and implement cloud technologies tailored to legal requirements.
• Write automation code to enhance operational efficiency.
• Implement cloud solutions through infrastructure as code, focusing on AI applications in collaboration with development teams and product management.
• Serve as a technical lead for developing and maintaining cloud automation tools.
• Partner with internal departments and vendors to optimize infrastructure performance while ensuring compliance.
• Provide advanced technical support by diagnosing and resolving complex system issues.
• Contribute to strategic project planning and execution, aligning technical initiatives with business goals.
• Research advancements in AI, machine learning, and NLP to improve services.
• Design solutions that meet performance, resilience, security, and governance standards.
• Monitor technological trends in AI/ML and NLP for potential implementation and industry leadership.

Requirements include:

• Minimum 5 years of infrastructure experience, with over 3 years in DevOps, especially with Microsoft Azure.
• Strong cloud engineering skills with an interest in AI/LLM technologies.
• Proficiency in Python and machine learning frameworks.
• Familiarity with AI development within Microsoft environments.
• Commitment to quality, process improvement, and industry best practices.