AI Systems Engineer
2 weeks ago
Location: London/Cambridge (hybrid)
25 days annual leave + bank holidays
1 Personal day
Flexible working environment
Private health scheme
Health shield cashback scheme
Pension scheme
Casual work environment with team outings and social eventsPosition Overview:
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.
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.
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.
Collaborate with cross-functional teams to define requirements, architect solutions, and drive projects to completion.Master's or PhD in Computer Science, Engineering, or a related field.
5+ years experience with Python programming and strong proficiency in Python development
Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
Experience with C/C++, Kubernetes, Large Language Models (LLMs) and blockchain technologies.Keywords: AI Engineer, AI Infrastructure Engineer, Python, PostgreSQL, Blockchain, RabbitMQ, Cassandra, AI, Artificial Intelligence, ML, Machine Learning, LLM
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