- £90-110K
- Full Time
- London
- This position has been filled.
Fancy working in one of the most desirable industries of the 21st century? A genuine RegTech leader who have seen immense success by building the worlds largest knowledge graph database to combat fraud and financial crime are looking to grow their team and take on a Lead Machine Learning Engineer.
By combining companies, sanctions lists, news articles, politically exposed people lists and many other sources together with AI and machine learning, they are powering the new generation of AML financial crime fighting products and you can be a part of this modern day super-hero team!
The Role
You’ll be leading their flagship data function who are a part of an x-functional agile team made up of Product Managers, Engineers, Data Scientists and fellow Machine Learning Engineers, working together to get models into production. You’ll get to work on a plethora of different, meaningful projects including; Truth Finding, Link Prediction, Triple Classification, Graph Inference, relation extraction and more.
You’ll also get exposure to a range of different industries within finance including Cryptocurrency, early stage start-ups, insurance, WealthTech and investments and more!
As a lead, you’ll also be mentoring and upskilling junior members while monitoring and offering your expertise to the more senior members of the team. Don’t be fooled though, this is still very much a hands-on technical position where you’ll get stuck into solving problems with your team to offer the best solutions possible. We want to make it very clear that we’re not looking for a manager. What we are looking for is an extremely technical individual who is capable of managing.
What’s Essential
- Highly educated to at least a Masters level standard in a relevant or STEM based subject
- Extensive experience working with graph inference and graph pattern classification
- Highly technical and confident in your own coding ability, ideally in Python
- An expert in not only developing algorithms but also applying them to real-world problems
What’s In It For Me?
- Highly competitive salary of up to £110K + strong equity options
- Unlimited annual leave
- Flexible working hours
- Fully flexible remote working options
Job Owner: d.prosser
