Machine Learning Engineer, GoCardless
£82.3-123.5k
+ Equity. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point (£82,320 - £102,900) of the pay range until performance can be assessed in role.
1+ day a week in office
Making payments easier for everyone
Open for applications
Making payments easier for everyone
501-1000 employees
Open for applications
£82.3-123.5k
+ Equity. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point (£82,320 - £102,900) of the pay range until performance can be assessed in role.
1+ day a week in office
501-1000 employees
Company mission
To become the world’s bank payment network.
Role
Who you are
- And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
- Bachelor’s or Master’s in Computer Science, Machine Learning, Statistics, Mathematics or equivalent
- 3+ years of hands-on experience designing, training and deploying production ML models - ideally on GCP Vertex AI or a similar managed platform
- Track record of shipping and running at least two end-to-end ML projects in production
- Proficient in Python and SQL; familiarity with additional languages is a plus
- Deep understanding of supervised and unsupervised learning methods and when to apply them
- Extensive experience with ML frameworks (TensorFlow, PyTorch, scikit-learn), data processing tools and experiment-tracking platforms (Vertex Experiments, MLflow, Weights & Biases)
- Familiarity with feature stores and metadata management
- Nice to have - experience with off the shelf ML/AI in SaaS tooling
- Solid grasp of MLOps principles: CI/CD for ML, version control, reproducibility, monitoring and automated retraining
- Excellent problem-solving ability with a data-driven, metrics-focused mindset
- Strong communication skills: able to explain complex ML concepts to both technical and non-technical stakeholders
- Collaborative attitude: you thrive working with Data Scientists, Data Engineers and other stakeholders to deliver production-ready models
What the job involves
- As a Machine Learning Engineer, you’ll lead end-to-end model work and partner closely with Data Scientists, Data Engineers and other stakeholders
- Own architecture for complex ML systems, selecting algorithms, frameworks and infrastructure to solve business problems at scale
- Translate high-level product requirements into clear modeling objectives, aligning with GoCardless’s SLAs and business goals
- Partner with our Data Engineering team to ensure reliable data ingestion and preprocessing
- Collaborate with Data Scientists to design features
- Build and maintain training workflows to train, tune and evaluate models
- Establish reproducible experiment tracking (e.g., Vertex Experiments) for metrics, hyperparameters and model artefacts
- Build and maintain scalable, automated pipelines for CI/CD of ML models
- Deploy models as containerized services (Docker/Kubernetes, Vertex Endpoints)
- Define monitoring and alerting for model performance (drift detection, data quality checks) and collaborate with Data Scientists on model health and iteration
- Engage with Product, Software Engineering and Design teams to inform roadmaps, surface technical feasibility, and prioritize ML initiatives
- Liaise with Data Engineers to ensure data schemas, pipelines and validation processes meet ML workflow requirements
- Set ML standards and best practices at GoCardless: establish coding guidelines, conduct design reviews, and evangelize solid ML principles (version control, testing, reproducibility)
- Mentor and coach mid-level and junior ML Engineers and Data Scientists, fostering a culture of continuous learning and high code quality
- Stay current on advances in machine learning and deep learning
- Evaluate new tools and libraries across cloud platforms
Salary benchmarks
Our take
GoCardless has emerged to facilitate recurring payments, with a focus on streamlining the subscription economy. After securing $75M in 2019 for international expansion, the company now operates in over 30 countries, processing over $130B annually across more than 2500 for 100,000 businesses.
Recent advancements include the acquisition of Nordigen in 2022, enabling GoCardless to leverage OpenBanking functionality and establish a robust platform for direct bank-to-bank payments. The company also achieved an impressive $312 million in Series G funding in 2022. With a strategic eye on the future, GoCardless introduced GC Embed, a white-labeling product granting other payment providers access to its premier bank payment platform.
This success is underscored by the company's commitment to innovation, exemplified by its 2019 partnership with TransferWise, integrating foreign exchange rates into its services. GoCardless continues to evolve, navigating the complex landscape of recurring payments and staying ahead of competitors like Stripe and Square, who are beginning to enter the subscription economy. With a global footprint spanning the UK, France, the US, Ireland, Latvia, Portugal, and ANZ, GoCardless remains at the forefront of reshaping how businesses manage and process recurring payments on a massive scale.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Employee endorsements
Opportunities to learn
"I love that we have an environment of trying new things and if it doesn't work, it's okay, as long as you learn from it. This has enabled me to..."
Funding (last 2 of 10 rounds)
Feb 2022
$312m
SERIES G
Feb 2021
$105m
SERIES F
Total funding: $634.5m
Company benefits
- Enhanced maternity, paternity and shared parental pay
- 27 days holiday (excl. bank holidays)
- Work-away scheme
- Health insurance
- 4 additional wellbeing days off per year
- Equity grant for all permanent employees
Company values
- Start With Why: We believe you can only do a job properly when you know why you are doing it. Understanding why we care about the problem motivates us to keep going until we’ve solved it
- Make it Happen: We work with urgency, and take personal accountability for getting things done in pursuit of our vision.
- Care Deeply: We care deeply about our impact on the world and those around us
- Act with Integrity: We do what’s right even when no one is watching. We don't see doing the right things as a choice — we act with integrity regardless of the cost
- Be Humble: We act without ego and don’t let excuses get in the way of achieving our goals. We believe life's too short for self-importance
Company HQ
Clerkenwell, London, UK
Articles
Leadership
Hiroki Takeuchi
(Co-Founder & CEO)Hiroki and Matt met when they were consultants. They started GoCardless during Y Combinator. Hiroki was previously a Business Analyst at McKinsey & Company.
Matt Robinson
(Co-Founder & Board Member)Started company supplying waiters to events while at school, before joining McKinsey. Founded Nested Estate Agents in 2015 where they currently serve as CEO.
People progressing
Beccy joined GoCardless as a Sales Development Representative in May 2018 and has since had 3 promotions to become Senior Manager.
Steph joined GoCardless as an Intern in the Compliance team 4 years ago and she's now the Manager of the team.
Diversity, Equity & Inclusion at GoCardless
Lena Tailor (Director of D&I)
- Given the large number of hires we have been making in recent months, we have continuously reviewed both our hiring processes and channels to eliminate bias. We’ve introduced programs that attract diverse talent and we continuously seek to create hiring experiences that are fair, transparent and accessible by all
- We are working on creating a transparent framework for how we grow and develop talent in a scaling organisation. This will include bringing more clarity on internal career opportunities and provide clear expectations on the behaviours we want to see aligned to our values and commitment to building an inclusive organisation
- We have introduced systematic processes to help ensure compensation decisions are data-driven, fair and competitive. We have also invested in Reward capability and expertise to ensure we bring pay equity into every step of the employee journey
- Thanks to these employee-led groups we have been able to further our efforts in voluntary diversity data collection this year, to develop support for parents and carers, offer community mentoring opportunities in partnership with Career Accelerator, help to raise awareness and empathy during significant events of the past year, and importantly, offer more employees a community of people with whom they share experiences and interests
- To strengthen our commitment to D&I we have recently appointed our first Director of Diversity & Inclusion, an experienced culture change leader, which will allow us to have a more strategic and systematic approach to building a diverse and inclusive organisation for the long term and as we scale
- The Director will work with the executive team and ERGs to define clear D&I targets that GoCardless will commit to achieving over the next three years, and to develop a structured roadmap of initiatives aligned with those targets
- This will create greater clarity and accountability across the entire organisation on D&I progress
- We’ve got a long way to go, but here’s how we’re doing as of June 2022 - Female Employees - 46% - Ethnic background - 32% - Identify as LGBTQIA - 10% - Neurodivergent - 9%
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