.If you like providing efficient, effective solutions to complex challenges, join us at Ascent! Be at the heart of helping achieve extraordinary things with software and data for our customers!About UsAscent is a design-led software, data and cloud business that specialises in advanced analytics and AI. We are an engineering business. We design, build and manage cloud-native products, solutions, platforms & experiences on Azure.Our pan-European community of engineers, architects, data scientists and digital consultants helps customers take on challenges and opportunities, so they can do something new, or do existing things better.From global insurance, pharma, healthcare and retail to smart home devices, space exploration and cricket we get to work with some of the sharpest minds in the brightest businesses.About the roleThe ML/AI engineer is a more-engineering-focused version of the data scientist. Their primary set of activities is to focus on code quality and delivery into the production of Machine Learning and AI solutions. They are strong at code versioning, CI/CD and MLOps, automated testing, and have good familiarity with Azure-native services such as Azure ML, OpenAI, and other tools. If you like providing efficient, effective solutions to complex challenges, join us at Ascent! Be at the heart of helping achieve extraordinary things with software and data for our customers!About UsAscent is a design-led software, data and cloud business that specialises in advanced analytics and AI. We are an engineering business. We design, build and manage cloud-native products, solutions, platforms & experiences on Azure.Our pan-European community of engineers, architects, data scientists and digital consultants helps customers take on challenges and opportunities, so they can do something new, or do existing things better.From global insurance, pharma, healthcare and retail to smart home devices, space exploration and cricket we get to work with some of the sharpest minds in the brightest businesses.About the roleThe ML/AI engineer is a more-engineering-focused version of the data scientist. Their primary set of activities is to focus on code quality and delivery into the production of Machine Learning and AI solutions. They are strong at code versioning, CI/CD and MLOps, automated testing, and have good familiarity with Azure-native services such as Azure ML, OpenAI, and other tools.Skills and experience requiredA software engineer mindset when writing code.Strong experience with Python as a development language.Familiarity with Azure DevOps, GitHub, and CI/CD tools like Jenkins, and Terraform.Familiarity with API integration e.G. OpenAI and related technologies (such as vector databases).Experience with building and production of rising Machine Learning solutions.Designing ML and AI architectures.Be able to refactor Jupyter Notebook scripts from data scientists too, e.G., separate train and predict processes, and trigger these behind an API
