As a Principal Machine Learning Engineer for Qodea, Europe's largest dedicated Google Cloud partner, you will lead the design and delivery of Machine Learning solutions for clients in addition to performing line management duties for a team of ML Engineers and Data Scientists. You'll report into the Head of Data & AI.

Considering making an application for this job Check all the details in this job description, and then click on Apply.You’ll develop and deploy innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You’ll use your hands-on experience of developing, training, and deploying AI models to help customers activate their data.You’ll draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what’s achievable with Google Cloud products and services. You’ll be able to communicate concepts to both technical and non-technical audiences.Your solution designs will always consider the customers’ requirements, and will be scalable and supportable. You’ll always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team.Your Line Management duties will consist of regularly engaging with your team members, enabling their professional development and being a consistent source of encouragement and support during their time with the organisation. You'll also foster a positive and collaborative environment within the Machine Learning team through remote and in-person meetups, social events, and knowledge-sharing activities.Responsibilities:

Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models.Develop and deploy machine learning models on Google Cloud.Use version control and agile working practices.Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.Minimum Requirements:

Experience as a technical lead on technical projects, ideally involving a public cloud provider.Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).Strong grasp of statistics and probability fundamentals.Solid understanding of machine learning algorithms for supervised and unsupervised learning.Hands-on experience training, deploying, and optimizing ML models.Strong Python and SQL skills.Experience with Cloud ML tools.Collaborative, proactive, logical, methodical, and attentive to detail.Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry.About Qodea Qodea (formally Appsbroker CTS) is the largest Google Cloud-only digital consultancy in Europe. Our name marks the culmination of a journey which began with the merger of Appsbroker and CTS in 2023. Combining the words ‘code’ and ‘idea’, our name embodies the essence of who we are and what we do; providing tried and trusted digital solutions, whilst helping our clients look to the future and innovate.As a purpose-driven, certified B Corp, we strive to be great to work with and great to work for. We’re lucky to have some fantastic household names as customers, and fantastic colleagues delivering the ideas, technologies, and impacts that matter.With offices across Europe, you’ll be joining a dynamic team of talented but down-to-earth experts, with a presence across the UK, the Netherlands, Romania, and Belgium.By joining forces, both companies bring over 15 years of Google Cloud experience under one roof, with over 420+ Google certifications, a list of brilliant enterprise customers, incredibly talented people, and multiple industry awards - meaning we can be trusted to deliver.Benefits:

36 days off each year including Bank Holidays (and your birthday off).Private healthcare scheme.Company pension.Flexible working culture.Work from Anywhere policy (up to 90 days per year).10 paid Learning Days each year in addition to annual leave.Company events - opportunities to meet colleagues you don’t see every day.Regular opportunities for industry recognised training and certifications.Learning and development opportunities.Opportunities to develop within a fast-growing tech business with ambitious growth and impact goals.Location: This role can be either fully remote or hybrid based depending on your preference. We have offices in London, Swindon, Manchester, and Edinburgh which you can choose to work from as often as you like. There is no mandatory office working, but you might be expected to travel to offices or customer sites for specific meetings or events.Diversity and Inclusion Statement

At Qodea, we look after each other in an environment where everyone can work together to achieve great things. We’re proud of our people-first culture that welcomes individuals from all backgrounds. Our commitment to diversity and inclusion creates a dynamic community, unlocks innovation and great ideas, and unites us around a common purpose - and we look for talented people to join us who share these values.

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