Machine Learning Engineer

Details of the offer

Machine Learning Engineer £70,000-£90,000 Central London - Hybrid Working I'm currently working with a well-established London FinTech wealth-management SAAS business, who are looking for a Machine Learning expert 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 – Machine Learning Engineer 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.
Tech Requirements Salary: £70,000-£90,000.
Good experience in Machine Learning, AI, Data Science, Engineering and SaaS – ideally 3-4 years.
Experience managing teams from technical standpoint including people management.
Strong technical background in Data, Development & Cloud – Python/Azure.
High level stakeholder management skills.
Benefits : 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self-development tools & various perks.
If this role is of interest, then please apply and I can give you a call.
Tim Stock 01189028800 | 07980610737


Nominal Salary: To be agreed

Source: Talent_Dynamic-Ppc

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