AI Infrastructure Engineer

  • Full Time
  • Cambridge
  • Location: Cambridge
  • Salary: £90000 - £120000 per annum + benefits

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Job Title: AI Infrastructure Engineer

Location: Cambridge (hybrid)

Salary: £90-120k

About Us:

I’m currently working with an industry pioneer who are looking for an AI Infrastructure Engineer as they continue to build the most comprehensive AI ecosystem ever! Specialising in cutting-edge solutions that drive innovation, they are committed to pushing the boundaries of AI technology and delivering impactful solutions to clients across various sectors.

Benefits:

  • 25 days annual leave + bank holidays
  • 1 Personal day
  • Flexible working environment
  • Workplace childcare scheme
  • Private health scheme
  • Health shield cashback scheme
  • Pension scheme
  • Group income protection
  • Casual work environment with team outings and social events

Position Overview:

They are currently seeking a talented AI Infrastructure Engineer to join their fast-paced, dynamic team. In this role, you will play a pivotal role in designing, implementing, and maintaining the robust infrastructure required to power their advanced AI and machine learning workflows. Collaborating closely with their multidisciplinary team, you will contribute to building scalable, resilient, and distributed systems that drive the success of their AI-driven applications.

Responsibilities:

  • Write clean, efficient code in Python for various components of the AI infrastructure.
  • Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives.
  • Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis.
  • Integrate machine learning models into production systems, ensuring seamless deployment and operation.
  • Optimise system performance and resource utilisation to meet scalability and efficiency goals.
  • Implement and maintain monitoring, logging, and alerting systems to ensure the health and performance of AI infrastructure.
  • Troubleshoot and debug issues that may arise in the AI infrastructure, ensuring timely resolution and minimal disruption to operations.
  • Collaborate with cross-functional teams to define requirements, architect solutions, and drive projects to completion.
  • Keep up to date with emerging technologies and best practices in AI infrastructure, distributed systems, and cloud computing.

Requirements:

  • Master’s or PhD in Computer Science, Engineering, or a related field.
  • Deep, extensive experience with Python programming and strong proficiency in Python development
  • Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, RabbitMQ, and Cassandra.
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
  • Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
  • Excellent communication and collaboration skills, with the ability to thrive in a fast-paced and dynamic environment.

Desirable:

  • Experience with Large Language Models (LLMs) and blockchain technologies.

How to Apply:

If you are passionate about AI technology and possess the skills and experience required for this exciting opportunity, please submit your CV today!

Keywords: AI Engineer, AI Infrastructure Engineer, Python, PostgreSQL, Blockchain, RabbitMQ, Cassandra, AI, Artificial Intelligence, ML, Machine Learning, LLM

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