Leverage machine learning to enhance digital transformation

Realise the numerous business benefits of data science by adopting machine learning

Enhance your digital transformation

The key to supporting your machine learning goals will be identifying where you are on your data science journey, whether you’re just starting out or having challenges scaling effectively. Kainos helps organisations to climb the Machine Learning Maturity Scale from tactical to transformational, enabling them to operationalise increasingly complex models.  

Using our unique combination of industry-leading engineering, DevOps and cloud expertise, we work alongside you to share knowledge that ensures ongoing self-sufficiency, improved accuracy and reduced time to market. 

Machine learning can help your business:  

  • Drive competitive advantage with technology  
    Bring new products and services to market under growing pressure, with cost to income ratio at front of mind
  • Achieve business agility and digital transformation -React faster to evolving customer needs and shifting market demands. 
  • Improve the customer experience - Embrace technology to enhance customer journeys, speed up decision making and personalise offerings. 
  • Deliver significant operational efficiencies  - Leverage machine learning to reduce sales process efforts and increase the automation of claims management 

Our partners


Data Ethics

At Kainos, we believe that data ethics is a non-negotiable when delivering Data and AI projects. With technological development moving at unprecedented speed, the new opportunities are exciting, but we have also seen several experts raising alarm bells about the risks and potential for harm. To develop data and AI solutions that can be trusted by users and the public alike, such risks need to be actively identified and managed.

Our internal frameworks and ways of working bring ethics into everything we do, guided by our internal Code of Ethics and our data and AI ethical delivery principles:

  1. Mitigating harms & seeking benefits: Within projects, we support our clients to minimise harms and maximise societal benefits of data and AI solutions 
  2. Fairness: We minimise bias in data and AI solutions and scrutinise them for fairness 
  3. Transparency & explainability: We communicate with transparency about data and AI solutions and explore the reasons behind their conclusions
  4. Respect for the human behind the data: We design data and AI solutions with respect for the autonomy, dignity and privacy of those affected by the technology 
  5. Responsibility: We believe in taking accountability for data and AI solutions and will encourage clients to establish appropriate oversight.

We can also bring subject matter expertise in data ethics into data and AI projects. In these cases, ethics and harm workshops leading to an ethics impact assessment and transparency documentation become an intrinsic part of what is delivered. Our experience in bringing ethical principles to practice can also be tapped into for advisory work. To learn more, please contact us.

The Kainos Machine Learning Maturity Scale

Kainos have identified five key levels of machine learning maturity, each with a set of typical characteristics, that we use to define our maturity scale. This is an indicative guide and your organisation may have elements at maturity levels outside of these parameters. Kainos prioritises specific improvement tasks to achieve the maximum benefit for your business, aligned to your goals. 


If you’re more advanced in your maturity (Level 3-5), consider MLOps. 

Move from experimentation to production quickly and confidently with Machine Learning Operations (MLOps). Machine Learning (ML) represents a significant market advantage for organisations that can harness it but success hinges on the ability to make ML operational, repeatable and scalable – enter MLOps. 


Increase machine learning productivity with MLOps 

Kainos combines ML, DevOps and Data Engineering technical expertise to standardise your ML models for production cloud deployment: 

  • Create repeatable model templates from experiments to production that can be repurposed and reused across multiple ML solutions 
  • Increase the speed of model deployment, iterations, and fixes 



Standardise through MLOps to increase speed, reduce costs and drive alignment  

We help you ramp up quickly with a tried and tested framework of playbooks and models for accelerating the deployment of data science projects into enterprise architecture.   

  • Drive alignment between data science, engineering and operations teams  
  • Accelerate the move from experiments to production  
  • Enable the fast creation of new ML models  
  • Reduce costs through better resource efficiency  
  • Embed transparency and explainability by enabling auditing of model predictions 


eBook: From tactical to transformational

This eBook will identify where your organisation is on the Machine Learning Maturity Scale and outlines how you can move from tactical to transformational with MLOps from Kainos.

eBook: From tactical to transformational

This eBook will identify where your organisation is on the Machine Learning Maturity Scale and outlines how you can move from tactical to transformational with MLOps from Kainos.

“We approached Kainos with the idea of using AI to automatically extract the information we needed from KIIDs. Kainos’ AI team had fantastic experience with document analysis and NLP and they delivered the project perfectly!”

Darren Burrows
Founder and CEO

“As part of our ongoing strategic aims to become the world leading digital land register, the automated document comparison project has been a successful first step in our journey towards embracing artificial intelligence to improve our service and enhance how our employees work.”

HM Land Registry

See how we can help your business

Looking to digitally transform your business? Get in touch to see how we can help you.

Our People

Gary Hunter
Business Development Director, Commercial ·
For more than 25 years Gary has worked delivering technology based solutions to business problems. He is a Chartered Management Institute certified Professional Consultant and Business Analyst who was reborn in the cloud 6 years ago and has subsequently worked on more than 35 cloud big data and ML transformation projects.
Ruth McGuinness
Data & AI Practice Lead · Kainos
Ruth has over nine years of experience in the tech and AI space. She is passionate about unlocking the benefits of AI/ML to improve business and wider society.
Gareth Workman
Chief AI Officer ·
Gareth Workman leads AI strategy for Kainos, working across the business to define goals for success and to harness the benefits of AI for our people, customers and partners. Gareth has over 18 years of experience at Kainos in several technical positions including principal architect, CIO and cloud practice director.
Lee Johnston
Business Development Manager ·
With a passion for helping customers solve their most complex problems, Lee has over 7 years of experience delivering digital transformation projects. Lee supports customers to take advantage of their data and works with them to unlock business value.