Join Our Team as a Machine Learning Ops Engineer at Mumsnet

Mumsnet, a leader in driving AI innovation for practical applications, is looking for an experienced Machine Learning Ops Engineer to enhance our capabilities in building efficient, data-driven AI products. This is an ideal role for someone passionate about the dynamic field of AI, specifically in Large Language Models (LLMs), and keen to impact the future of AI-driven solutions.

About the Role

As a Machine Learning Ops Engineer at Mumsnet, you will:

• Utilize LLMs to construct intelligent workflows and applications that address complex business challenges.
• Design and maintain robust infrastructure to support testing, deployment, and monitoring of ML systems.
• Create and manage data pipelines essential for daily analytics and machine learning workloads.
• Transform offline models into scalable real-time ML production systems.
• Develop tools and services to optimize ML training and inference processes.
• Apply best practices in software engineering to enhance machine learning system reliability, including continuous integration and deployment (CI/CD), automation, and security.
• Stay abreast of industry trends, particularly in GenAI and LLMs, to continuously refine our strategy and technology stack.

Who Should Apply?

Our ideal candidate for the Machine Learning Ops Engineer position should possess:

• Exceptional problem-solving abilities and a strong analytical mindset.
• Advanced skills in mathematics, computer science, probability, statistics, and algorithms.
• Fluency in Python and experience with cloud computing platforms; GCP experience is beneficial.
• Experience in building end-to-end systems as a Platform Engineer, ML DevOps Engineer, Data Engineer, or similar role.
• A deep understanding of or experience with working on LLMs.
• Proven ability to translate complex business needs into technical requirements.
• Strong foundations in software testing, benchmarking, and continuous integration.
• A Bachelor's degree in Computer Science, Mathematics, or a related field; a Master’s degree or equivalent professional experience is a plus.

Why Work for Mumsnet?

At Mumsnet, we prioritize purpose over profit and believe in the growth and development of our employees through cross-team collaboration and continuous learning. We offer a flexible working environment accommodating both in-office and remote working preferences to balance professional and personal commitments effectively.

Our benefits package includes:

• Competitive salary and annual team bonus opportunities.
• Comprehensive private medical cover, wellness benefits, and a subsidized employee assistance program.
• Generous holiday allowance with the option to purchase additional leave.
• Inclusive workplace perks such as Cycle2Work, Electric Vehicle Scheme, and leisure discounts.

This full-time role is based in our Kentish Town office, with flexibility to accommodate different working arrangements for the right candidate.

Ready to Apply?

If you are driven to build a career at the forefront of AI and Machine Learning and meet the above requirements, we would love to hear from you. Join Mumsnet and be a part of shaping the future of AI applications in a supportive and dynamic environment.

Apply now to become a key player in our ambitious data team and contribute to our mission of making parents' lives easier through technology!