Deliver Machine Learning Models In Weeks, Not Months

85% of AI and machine learning models fail to make it into production. Overcome the common blockers to success with MLOps – a reliable and repeatable method that allows you to deploy models in weeks rather than months.

What is MLOps?

MLOps is DevOps applied to data science and machine learning. It is a holistic approach to designing, experimenting, developing, deploying and managing machine learning models with a one-team ethos and a goal to reduce operational costs while maximising opportunities.

We can support you through every phase of your MLOps journey, regardless of your current maturity level.

“The learnings shared have been in the ways of working, understanding the science behind our data and we now have a way to iterate through design. It’s been an outstanding achievement, considering the short time we’ve been together! For me, it’s been a joy and a very successful engagement. We’re grateful to the BJSS team and all the support they have given us.”

Head of Data, Major Insurance Company

MLOps Benefits

Repeatable Processes

Overcome the challenges associated with deploying machine learning models through a reliable and repeatable MLOps approach.

Reduce Your Time-to-Value Creation

Develop and release models in weeks rather than months.

Boost Profits

Organisations that deploy AI and machine learning models have improved their profits by up to 15%.

Services

Shape – MLOps Assessment & Strategy

We provide a four-week assessment of your MLOps readiness and maturity utilising our proven framework. We then issue tailored recommendations based on your unique circumstances.

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Deliver – MLOps Platform Delivery and Transformation

Following a steel-thread approach, we work with your team to select or develop a machine learning model. We then deploy it while building an MLOps platform containing the required tools and capabilities.

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Run – Data Science as a Service

We have strong experience supporting clients through MLOps transformations and help you bridge the traditional skills gap, enabling you to create a mature data science capability that delivers long-term value.

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