About this role
The Opportunity
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 our goals 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 models in 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 improves the modelling lifecycle of analytics.
It is first and foremost and 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.
Basic Qualifications
Relevant STEM degree (e.g., Computer Science, Engineering, Physics, Maths) Experience designing and developing applications in any languageUnderstanding of the full SDLC, including source control, testing and code reviews Comfortable working with large codebasesKnowledge of secure software development practicesPreferred Qualifications
Experience designing and developing applications in JavaKnowledge 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 lifecycleExperience with machine learning frameworks such as Tensorflow or PyTorch Experience with working in a Linux environment Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.