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Principal Tech Recruiter at Premier Group Recruitment | Scaling Up Tech Teams Across the UK | Host of Reading 'All Things Tech' Meetups …
Head of Machine Learning
Central London - Twice a week in the office
I’m currently working with a well-established London FinTech wealth-management SAAS business, who are looking for aMachine Learningexpert with experience in leadership to join their growing team on a hybrid basis!
This award-winning company essentially supports their global FinTech clients with their cloud management services, CRM requirements, productivity platforms and scaling up of their technology architecture. In role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many wealth management, banks and FinTech firms.
More about the company
- Founded in 2012.
- Main office in London but have a further 6 worldwide.
- Work with some of the largest FinTech companies globally.
- Looking to utilise AI/ML to simplify their processes and products.
- Award winning business and part of a wider wealth-management group.
The Role – Head of Machine Learning
- Twice a week in the office.
- Lead a small team of Data Scientists. Mostly technical but small amount of people management.
- Lead the integration of ML/AI across the company’s core SaaS products.
- Work with clients & multiple teams to ensure AI solutions are implemented smoothly.
- Brand new role which offers great opportunities to progress in a evolving space.
- Good experience in Machine Learning, AI, Data Science, Engineering and SaaS – ideally 3-4 years.
- Experience managing teams from technical standpoint including people management.
- Confident working with NLP, LLM type solutions.
- Strong technical background in Data, Development & Cloud – Python/Azure.
If this role is of interest, then please apply and I can you a call.
Seniority level
Employment type
Job function
- Information Technology, Finance, and Consulting
Industries
- Financial Services, Software Development, and Data Infrastructure and Analytics
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