83zero
Head of Machine Learning

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Head of Machine Learning
Central London – Twice a week in the office
£120,000-£140,000
I’m currently working with a well-established London FinTech wealth-management SaaS business, who are looking for a Machine Learning expert with strong leadership experience to join their growing team on a hybrid basis.
This award-winning business supports global FinTech clients with cloud management, CRM solutions, productivity platforms and the ongoing development and scaling of their technology architecture.
In this newly created role, you will head up the Data Science/Machine Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating AI/ML capabilities into their core SaaS products, which are used by a range of wealth management firms, banks and FinTech organisations globally.
More about the company
- Founded in 2017.
- London based – twice a week in the office.
- Work with some of the largest FinTech & Payments companies globally.
- Investing heavily in AI/ML to simplify processes and enhance their products.
- Award-winning business and part of a wider financial services group.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The Role – Head of Machine Learning
- Lead a small team of Data Scientists, with the role being predominantly technical alongside some people management.
- Drive the integration of ML and AI across the company’s core SaaS products.
- Work closely with clients and internal teams to ensure AI solutions are developed and implemented effectively.
- Take ownership of the company’s growing AI/ML strategy and help shape how these technologies are used across the business.
- Newly created position offering significant scope to grow and progress as the AI/ML function develops.
Tech Requirements
- Strong background in Machine Learning, AI, Data Science, Data Engineering and SaaS environments.
- Experience leading technical teams, including some people management responsibility.
- Strong experience working with NLP, LLMs and other modern AI/ML solutions.
- Strong technical background across Data, Development and Cloud, ideally with Python and Azure.
- Previous experience taking ML/AI solutions from development through to implementation.
- Must have recent experience within FinTech or Financial Services, ideally working with technology businesses, wealth management or banking clients.


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Benefits
- 5% Pension
- Bonus
- 25 Days Holiday + Bank Holidays
- Wellbeing Support
- Self-development tools & various other perks
If this role sounds of interest and you’re looking for an opportunity to take ownership of AI/ML within a growing FinTech business, please apply and I can give you a call to discuss it further.
Tim Stock
tim.stock@83zero.com | 07980610737
https://www.linkedin.com/in/tim-stock-160177159/
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