Software Engineer

Visa; Gloucester; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading financial technology firm is seeking a passionate Software Engineer to improve analytical technology and support the development of machine learning solutions. The role involves designing and maintaining efficient data applications and optimizing workflows. Qualifications include a relevant STEM degree and experience in application development. This hybrid position is based in Cambridge with expectations of working in-office three days a week.

Qualifications

• Experience designing and developing applications in any language.
• Understanding of the full SDLC, including source control, testing, and code reviews.
• Knowledge of secure software development practices.

Responsibilities

• Improving workflows for designing, deploying, and maintaining analytics.
• Engineering optimized and maintainable data intensive applications.
• Providing support for mission critical services deployed to production.

Skills

Application development

Machine learning

Software engineering processes

Data intensive applications

Education

Relevant STEM degree (e.g., Computer Science, Engineering, Physics, Maths)

Tools

Java

TensorFlow

PyTorch

Linux

Job description

Featurespace are looking for a passionate and enthusiastic Software Engineer to join our team. You will work on our industry-leading financial crime fighting technology, making the world a safer place to transact alongside our existing team of innovators and experts. We are looking for individuals who can deliver and maintain a robust product across the full software development life cycle. You will help us achieve ourgoals and deliver success on behalf of our customers by

• Being responsible for analytical technology that is fast, flexible, and easy to use.
• Implementing data intensive applications and machine learning components, enabling Analytics teams to deliver state-of-the art modelsin a timely manner.
• Optimising and scaling modelling workflows required to build analytics for increasingly large datasets.
• Implementing new features within ARIC (our software platform) that improvesthe modelling lifecycle of analytics.

It is first and foremost an engineering role - enabling users to create machine learning and analytics solutions.

This position is based in our Cambridge office, with 3 days per week in the office expected. Day to Day Responsibilities

Core responsibilities of all members of the team include:

• Improving workflows for designing, deploying, and maintaining analytics
• Engineering optimized and maintainable data intensive applications
• Championing software engineering process and process improvements
• Providing support for mission critical services deployed to production including an on call rota

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

• Relevant STEM degree (e.g., Computer Science, Engineering, Physics, Maths)
• Experience designing and developing applications in any language
• Understanding of the full SDLC, including source control, testing and code reviews
• Comfortable working with large codebases
• Knowledge of secure software development practices

Preferred Qualifications

• Experience designing and developing applications in Java
• Knowledge of the lifecycle around training and deploying machine learning models
• Knowledge of parallel and distributed computing
• Knowledge of database architectures and data layouts for efficient processing
• Experience with real time event processing systems
• Experience with performance tuning and profiling
• Ability to design information rich tools in a user-friendly way
• Understanding and use of GenAI technologies in a secure software development lifecycle
• Experience with machine learning frameworks such as Tensorflow or PyTorch
• Experience with working in a Linux environment