Machine Learning Engineer, Moneyhub
More information about location
Financial management solutions
Open for applications
Financial management solutions
101-200 employees
Open for applications
More information about location
101-200 employees
Company mission
To improve the financial wellness of people, their businesses, and their communities.
Role
Who you are
- 3+ years of experience in data science or related engineering roles
- Strong software engineering practices with proficiency in Python
- Working knowledge of Node.js for backend integration
- Experience working within a Start Up / Scale Up technology company
- Experience building and deploying data solutions to production environments
- Practical knowledge of data processing techniques and relevant frameworks
- Understanding of when to apply ML algorithms vs. simpler approaches to solve problems
- Experience with statistical analysis and ability to interpret results to drive decision-making
- Proven ability to clean and prepare data for analysis and enrichment
- Excellent communication skills with ability to present technical concepts to non-technical stakeholders
- Bachelor's or Master's degree in a numerical or engineering subject (Data Science, Computer Science, Mathematics, or related field)
Desirable
- Experience with containerization using Docker
- Has worked on high-performance data processing systems
- Can perform data science analysis independently but focuses on production implementation
- Understands the difference between exploratory work in notebooks and production-ready code
- Experience optimizing algorithms for performance and scale
- Demonstrates a pragmatic approach to problem-solving, always seeking the simplest solution that delivers the best results
- Can evaluate when machine learning is appropriate and when simpler approaches would be more effective
What the job involves
- As a Machine Learning Engineer at Moneyhub, you'll bridge the gap between data science and software engineering
- You'll be responsible for developing production-ready data solutions that solve real user problems—focusing on delivering working code rather than just analysis or prototypes
- Data Enrichment Systems: Build and maintain systems that enhance raw financial data, including our transaction categorisation engine that underpins budgeting capabilities and affordability checking services
- Production-Ready Solutions: Transform data science concepts into robust, high-performance code that can handle our production workloads
- Pragmatic Algorithm Development: Create and optimize algorithms using the most appropriate techniques to solve specific user problems
- Data-Driven Product Innovation: Collaborate with product teams to translate business requirements into technical solutions that enrich financial data
- User Insights: Analyze user characteristics and segmentation to support business decisions and product development
- The ideal candidate bridges analytical thinking with practical engineering, delivering solutions that work reliably at scale rather than just proof-of-concepts
Our take
2022 saw large changes to the FCA (Financial Central Authority) and its Consumer Duty regulations, which has meant that companies such as Moneyhub, an Open Finance data and payments platform, are more important than ever.
Moneyhub has gone from strength to strength as a data analytics for finance platform. A winner of the UK Fintech Awards 2021, Moneyhub helps businesses develop better ways to engage with their customers through consent-driven data. It also gives companies and people the power to make more informed decisions about risk management and investment through their big data.
The influx of VC funding Moneyhub has received reflects the growing need for more powerful financial management and customer engagement tools, especially as corporation tax and cost of living rise exponentially. Moneyhub is a leader in this area, at a time when companies like it are under more pressure to help navigate a rocky economy. On that subject, Moneyhub closed off its D2C practices in 2025, to focus entirely on products for B2B customers, including a white-label engagement platform, APIs for open date and credit and payment decisioning solutions.
Freddie
Company Specialist at Welcome to the Jungle
Insights
51% employee growth in 12 months
Company
Funding (2 rounds)
Dec 2022
$20.1m
EARLY VC
Oct 2022
$46.9m
EARLY VC
Total funding: $67m
Company benefits
- 10% toward each person’s pension
- Private medical insurance, accepting of all pre-existing conditions
- Support for your mental, financial, and professional wellbeing including 24/7 access to a GP online for consultations
- Flexible working
- 25 days holiday, plus bank holidays and the option to buy more
- Family pay for all new parents
- Personal development fund
- Professional memberships
Company HQ
Redcliffe, Bristol, UK
Leadership
Alastair McGill
(CEO)Previously General Manager at Broadridge, CRO and Managing Director of Cashfac Technologies and was the Executive Vice President of the Asia Pacific for SmartStream Technologies.
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