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Machine Learning Engineer

Moneyhub

United Kingdom

Remote

GBP 35,000 - 46,000

Full time

Today

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Job summary

A leading financial technology company is seeking a Machine Learning Engineer to bridge the gap between data science and software engineering. In this role, you will develop production-ready solutions that focus on delivering clean and effective code, enhancing financial data analytics for B2B2C clients. With a commitment to flexible working, including remote options and collaborative opportunities, you're invited to join their expert team in shaping innovative financial outcomes.

Benefits

5% company contribution towards your Pension

25 days of holiday (plus bank hols), rising to 30 after two years

Private medical insurance

3 Months Moneyhubber Family Pay when you become a new parent

Professional development support

Cycle to work scheme

High spec laptop

Remote working benefits and support for home office setup

Qualifications

3+ years of experience in data science or related engineering roles.
Strong software engineering practices with proficiency in Python.
Experience building and deploying data solutions to production environments.

Responsibilities

Develop production-ready solutions that solve real user problems.
Build and maintain systems that enhance raw financial data.
Collaborate with product teams to enrich financial data.

Skills

Machine Learning

Data Science

MLOps

Software Development

Python

Javascript

Financial Data

Education

Bachelor's or Master's degree in a numerical or engineering subject

Tools

Node.js

Docker

Machine Learning, Data Science, MLOps, Software Development, Python, Javascript, Financial Data

Who are we?

Moneyhub empowers financial services firms with complete, detailed, and real-time insight into their customers' financial needs and status, enabling them to take informed actions. Our highly categorized, data-enriched analytics allow clients to craft personalized customer journeys, leading to enhanced engagement, optimized acquisition and servicing costs, and increased conversion rates.

Machine Learning, Data Science, MLOps, Software Development, Python, Javascript, Financial Data

Who are we?

Moneyhub empowers financial services firms with complete, detailed, and real-time insight into their customers' financial needs and status, enabling them to take informed actions. Our highly categorized, data-enriched analytics allow clients to craft personalized customer journeys, leading to enhanced engagement, optimized acquisition and servicing costs, and increased conversion rates.

As an enterprise B2B2C company, our clients roll out our technology to improve their customers journey and enhance their financial outcomes. We do this through an API-first approach that streamlines access to our market-leading Categorisation, Decisioning, and Analytics engines, together with Payments Initiation. In doing so we deliver actionable insights with reduced transaction costs, accelerated settlements, and a safer, more convenient customer experience.

We're a regulated entity offering AISP, PISP, and CISP services, trusted by leading banks, insurers, asset and wealth managers, pension companies, financial advisors, and fintechs to enhance financial outcomes for their clients.

What do we offer?

Our company culture is based on trust and flexibility, and we empower our employees to find the work-life balance that suits them best. Team members can primarily work remotely while still collaborating with their colleagues and clients effectively.

We have offices in London and Bristol together with access to co-working space. We offer the opportunity to work remotely (role, business and client dependent) with support for your home office set-up if required. We have regular all company away days and other company, client and team meetings, your attendance at which will be mandatory.

Benefits include:

5% company contribution towards your Pension from your very first day with us. 3% contribution from the your self.

25 days of holiday (plus bank hols), rising to 30 days after two years;

Choose to take your entitlement to UK bank holidays at other times based on your own days of significance;

Private medical insurance, including cover for pre-existing conditions, plus dental and optical benefit;

3 Months Moneyhubber Family Pay when you become a new parent;

Permanent health insurance and life cover - much greater than the industry standard (death in service);

Employee assistance programme;

Professional development support, with dedicated allowance of time and money;

Life event leave;

Cycle to work scheme;

EV Car Scheme

£750 towards professional memberships

Remote working benefits, including work from almost anywhere, access to co-working spaces and support for your home office set-up

High spec laptop

Holiday purchase

Requirements

Sounds interesting! What will you be doing?

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.

What You'll Work On

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

Requirements:

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 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)

Beneficial if you :

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

At Moneyhub, we value engineers who can both understand data science concepts and implement them as high-quality, production-ready code. The ideal candidate bridges analytical thinking with practical engineering, delivering solutions that work reliably at scale rather than just proof-of-concepts.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Other
Industries
IT Services and IT Consulting

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