Staff engineer Work, Jobs in Thames Ditton, Sry (with Salaries)

Staff Data Scientist - AML
Wise Australia Investments —London
- £118,500 - £164,000 a year
- Hybrid work
- Mentoring
- AI
- Communication skills
Anthropic Fellows Program, AI Safety & Security
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Research
- Master's degree
- Bachelor's degree
- Flexible schedule
IT Support Technician
IT MANAGMENT LTD —London
- From £39,000 a year
- Full-time
- Hybrid work
- Customer service
- Windows
- Microsoft Office
- Free parking
- Annual leave
Quick apply
Operations Assistant
Cardiac Risk in the Young —Leatherhead
- £12.71 an hour
- Part-time
- Front desk
- Cleaning
- Free parking
- Health & wellbeing programme
Quick apply
1d
Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Research
- Bachelor's degree
- Communication skills
- Flexible schedule
Customer Care Coordinator - 16-Month Fixed-Term Contract – Maternity Cover
Ascendit Lifts Ltd —Horley
- From £25,500 a year
- Temporary
- CRM software
- Organisational skills
- Communication skills
- Free parking
- Annual leave
Quick apply
Field Service Engineer - Surrey & South West London
Matthew Algie —Epsom
- £35,000 - £38,000 a year
- Full-time
- Schematics
- Customer service
- Maintenance
- Annual leave
- Employee assistance programme
IT Support Engineer
Anthropic —London
- £130,000 - £175,000 a year
- Hybrid work
- Google Suite
- Bachelor's degree
- Scripting
- Flexible schedule
13d
Data Centre Technician , Data Centre Operations
Amazon Data Services UK Limited —Slough
- 12 hour shift
- Computer Science
- Bachelor's degree
- Travel
Support Technician Agilent Measurement Suite
Imperial College London —White City
- £42,505 - £47,213 a year
- Full-time
- Computer literacy
- Annual leave
Apprentice Civil Engineer
The Royal Borough of Kingston upon Thames —Kingston upon Thames
- £22,432 - £25,999 a year
- Full-time
- Hybrid work
- Civil engineering
- Analysis skills
- Communication skills
- Annual leave
- Employee discount
IT Support Engineer Apprentice
JBC Skills Training Ltd —London
- £23,000 a year
- Full-time
- Analysis skills
- Travel
- SharePoint
Quick apply
11d
Anthropic Fellows Program
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Research
- Master's degree
- Bachelor's degree
- Flexible schedule
Trainee Highway Compliance Technician
Surrey County Council —Guildford
- £28,546 - £36,943 a year
- Night shift
- Driving
- Travel
- Communication skills
- Annual leave
- Employee assistance programme
Environment, Health and Safety Specialist
Anthropic —London
- £110,000 - £140,000 a year
- Hybrid work
- Computer literacy
- Bachelor's degree
- Computer skills
- Flexible schedule
14d
Field Service Engineer - Crawley & West Sussex
Matthew Algie —Crawley
- £35,000 - £37,000 a year
- Full-time
- Schematics
- Customer service
- Maintenance
- Annual leave
- Employee assistance programme
Contract Manager - Northern Trains
APCOA PARKING (UK) LTD —Uxbridge
- £43,000 a year
- Microsoft Word
- Continuous improvement
- Travel
- Annual leave
- Employee discount
Quick apply
Fire Door Call Centre Operator
CF Fire Doors —London
- £30,000 - £35,000 a year
- Full-time
- Computer literacy
- English
- Data entry
Quick apply
5d
System and Security Manager
System Simulation —Clerkenwell
- £35,000 - £48,000 a year
- Full-time
- Hybrid work
- English
- Linux
- In-person
Quick apply
11d
Service Desk Engineer (Field)
Charles Square —London
- £42,500 a year
- Full-time
- Hybrid work
- Organisational skills
- Communication skills
- Annual leave
- Gym membership
Quick apply

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Staff Data Scientist - AML

Wise Australia Investments
London

Apply Now

Job details

£118,500 - £164,000 a year

Qualifications

TensorFlow
Law
Stakeholder collaboration
MCP
PyTorch
Machine learning modelling
Deep learning
Mentoring
Technical writing
Fraud prevention and detection
Multidisciplinary collaboration
Data science
Data collection
AI
Communication skills

Full job description

Salary: 118500 - 164000 GBP Annual
London

Company 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.

More about our mission and what we offer.

Job Description

We’re looking for a Staff Data Scientist to join our growing AML Team in London.

This role is a unique opportunity to work behind the scenes of company transactions, develop our risk detection and assessment to the next level regarding regional typology understanding and at the same time, provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers.

About the Role:
The AML team at Wise is dedicated to safeguarding our platform against financial crime, while ensuring seamless service for our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing AML detection systems which have evidenceable regional coverage of different financial crime typologies and red flags. Software engineers, data analysts, data scientists and compliance specialists collaborate on a daily basis to continuously improve our systems and provide support to our AML investigation team.

Our vision is:
Build a globally scalable AML prevention and detection engine to maintain Wise as a secure environment for our legitimate customers.

Utilise machine learning techniques to identify potential risks associated with customer activity.

Foster a strong partnership between our AML investigators and the product team to develop solutions that leverage the expertise of AML investigation specialists.

Not only meet the requirements set by regulators and auditors but also surpass their expectations.

We are looking for a highly skilled Staff Data Scientist to lead technical innovation and drive the development of advanced data science solutions. This role is pivotal in enhancing our AML detection capabilities.

Here’s how you’ll be contributing:
Innovate and Develop: Lead the development and deployment of machine learning models, including neural networks, anomaly detection, graph-based models, Transformers. Design and build modular detection systems able to detect in an evidenceable way red flags and typologies across different regions where Wise operates.

Lead and Collaborate: Mentor team members and promote adoption of AI workflows for automation across the business. Collaborate with cross-functional teams to integrate data science solutions into AML detection product offerings.

Deploy and Integrate: Develop scalable deployment strategies together with Platform teams and integrate LLMs with AI agents for seamless production use

Optimise and Evaluate: Conduct large-scale training and hyperparameter tuning, and define performance metrics to ensure high-quality model outputs.

Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training.

Documentation and Reporting: Communicate complex data findings to non-technical stakeholders effectively. Document the development and maintenance processes for models and features.

A bit about you:
Demonstrated expertise (5+ years) in developing and deploying production-grade AI systems and Machine Learning (ML) in financial risk or fraud domains.

Technical Proficiency: Skilled in Python, capable of delivering production-ready Python services as required; possesses hands-on experience with neural networks and deep learning models; has comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage.

Data-driven mindset: skilled in designing data strategies, including data collection, curation, and augmentation, to support model development. Experience with big-data frameworks and working with large scale databases

Technical leadership and mentorship: demonstrated ability to guide, mentor and level-up teams on technical aspects, fostering a collaborative and innovative work environment

Excellent communication skills, capable of simplifying complex technical concepts for easy understanding; able to adapt communication style to suit different audiences; can effectively engage and advise both technical and non-technical stakeholders with clarity and logic

A strong product mindset with the ability to work independently in a cross-functional and cross-team environment;

Additional Information

Key benefits:
Stock options in a profitable company

Hybrid working model - whether it’s working from home, working overseas, school plays or life admin we get that flexibility is essential

Annual personal development budget - whether it’s for books, courses, or conferences

Visa and relocation support

You can read more about our full benefits package here...

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.

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 LinkedIn and Instagram.

More about the team

Find out more about our team, how we work and other open roles.

Find out more about what we offer our employees

From me days to mission days, sabbaticals to stock, and everything in between. For everyone, everywhere. We’re people building money without borders. Find out what you'll get if you join us.

Join us
For everyone, everywhere. We’re people building money without borders.

Apply Now

Refine Your Search

staff engineer jobs in thames ditton, sry

Staff Data Scientist - AML

Anthropic Fellows Program, AI Safety & Security

IT Support Technician

Operations Assistant

Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)

Customer Care Coordinator - 16-Month Fixed-Term Contract – Maternity Cover

Field Service Engineer - Surrey & South West London

IT Support Engineer

Data Centre Technician , Data Centre Operations

Support Technician Agilent Measurement Suite

Apprentice Civil Engineer

IT Support Engineer Apprentice

Anthropic Fellows Program

Trainee Highway Compliance Technician

Environment, Health and Safety Specialist

Field Service Engineer - Crawley & West Sussex

Contract Manager - Northern Trains

Fire Door Call Centre Operator

System and Security Manager

Service Desk Engineer (Field)

I want to receive the latest job alerts for staff engineer in thames ditton, sry

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