Software engineer ii, android performance console Work, Jobs in Blackheath (with Salaries)

Senior ML Platform Engineer II - Financial Crime
Wise Australia Investments —London
- £111,000 - £145,000 a year
- Java
- SQL
- APIs
6d
Leo Cancer Care: Software Engineer Embedded Firmware Level I/II
Centaur Health Holdings —Crawley
- Full-time
- C++
- Computer networking
- Linux
Quick apply
14d
Agile Coach/Lead Scrum Master
Northrop Grumman —New Malden
- £60,000 - £78,000 a year
- Hybrid work
- Travel
- Organisational skills
- Agile
- Relocation assistance
Senior Geotechnical Design Engineer
AKT II —London
- Computer literacy
- Computer skills
Senior Structural Engineer (FTC)
Waterman Group —London
- Temporary
- Microsoft Word
- Microsoft Excel
- Master's degree
Senior Structural Engineer
AKT II —London
- Computer literacy
- Engineering
- Analysis skills
Head of Security
Fresha —London
Quick apply
13d
Staff Product Manager
CoreWeave Europe —London
- Azure
- AWS
- Product management
- Employee assistance programme
Quick apply
Tax Sales Specialist
Insight Software —London
- Full-time
- Oracle
- Sales
- ERP systems
Senior Regional Environmental Manager – EMEA, AWS Environmental
Amazon Data Services UK Limited —London
- Full-time
- Management
- Engineering
- AWS
Software Engineer II - Full Stack (Java/ React) - Associate
JPMorganChase —London
- Full-time
- Java
- AWS
- Software development
5d
Senior Software Engineer II - Assets
Wise Australia Investments —London
- £105,000 - £145,000 a year
- Java
- Communication skills
10d
Data Engineer II
RELX —London
- Full-time
- SQL
- AWS
- Machine learning
- Employee assistance programme
- Employee discount
7d
Data Engineer II
Elsevier —London
- Full-time
- SQL
- AWS
- Machine learning
- Employee assistance programme
- Employee discount
7d
Principal Data Platform Engineer (Snowflake & dbt) - Lead II - Software Engineering
UST —London
- Azure
- SQL
- Software development
Quick apply
Software Engineer- Mid-Level- iOS
Tripadvisor —London
- Software development
- In-person
- Communication skills
- Employee assistance programme
- Employee discount
Quick apply
Platform Engineer II
Entain —London
- Full-time
- Hybrid work
- DevOps
- Java
- AWS
- Annual leave
HPC Engineer, Metal Net
CoreWeave Europe —London
- £79,000 - £105,000 a year
- Driving
- Scripting
- Computer networking
- Employee assistance programme
Quick apply
Senior Software Engineer
AKT II —London
- Bachelor's degree
- JavaScript
- Software development
3d
Lead Software Engineer
Kraken —London
- Full-time
- Hybrid work
- Python
Quick apply

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Senior ML Platform Engineer II - Financial Crime

Wise Australia Investments
London

Apply Now

Job details

£111,000 - £145,000 a year
6 days ago

Qualifications

Kotlin
Software deployment
Java
SQL
APIs
Python

Full job description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

Job Description

About the role:

Wise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale.
We're looking for a Senior ML Platform Engineer to build this platform from the ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations.

This is a greenfield build with strong investment and direct engagement from Wise's senior leadership.

How we work:

Risk ML sits within Wise’s FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible.
You’ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal platforms succeed when teams want to use them.

What will you be working on?

Designing and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code
Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API
Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates
Building model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance
Owning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations
Maximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance

What do you need?

Experience building ML platform infrastructure in production - training pipelines, model serving, evaluation frameworks, or monitoring systems. Infrastructure that other teams depend on, not individual model work.
Strong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL.
Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment
End-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge of where things break
A product mindset for internal tooling - you think about data scientists as users and build for adoption, not just functionality

Nice to Have:

Model serving at scale - latency optimisation, ONNX packaging, canary deployments for models
Experience in FinCrime, fraud, AML, or regulated environments where audit trails and model governance are non-negotiable
Experience with model monitoring and drift detection systems in production
Track record of migrating teams from manual ML workflows to platform-based approaches

Interested? Find out more:

How we work – a practical guide
DEI @ Wise
Wise Tech Stack (2025 update)
See what it's like to work at Wise London!
Our Engineering career map
Wise Engineering – https://medium.com/wise-engineering

What do we offer:

Starting salary: £111,000 - £145,000 + RSUs
Wise Benefits

#LI-AB3 #LI-Hybrid

Additional Information

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on

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Refine Your Search

software engineer ii, android performance console jobs in blackheath

Senior ML Platform Engineer II - Financial Crime

Leo Cancer Care: Software Engineer Embedded Firmware Level I/II

Agile Coach/Lead Scrum Master

Senior Geotechnical Design Engineer

Senior Structural Engineer (FTC)

Senior Structural Engineer

Head of Security

Staff Product Manager

Tax Sales Specialist

Senior Regional Environmental Manager – EMEA, AWS Environmental

Software Engineer II - Full Stack (Java/ React) - Associate

Senior Software Engineer II - Assets

Data Engineer II

Data Engineer II

Principal Data Platform Engineer (Snowflake & dbt) - Lead II - Software Engineering

Software Engineer- Mid-Level- iOS

Platform Engineer II

HPC Engineer, Metal Net

Senior Software Engineer

Lead Software Engineer

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