Cambridge, UK

Software Engineer, MLOps

The Opportunity

As a Software Engineer, 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 cycleYou 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 Data Science 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

This is a hybrid role based in our Cambridge office, so you will ideally be comfortable coming into the office once or twice a week. If you’re interested in the role but require more flexibility, please speak to us!

Day to Day

  • Improve workflows for designing, deploying, and maintaining analytics 
  • Engineer optimized and maintainable data intensive applications 
  • Champion software engineering process and process improvements 
  • Provide support for mission critical services deployed to production, including out-of-hours support for critical service issues as part of our on-call engineer rota
Apply for job
David Sutton Newsroom – 1

Featurespace named as one of the winners of the International PETs challenge

Take a look at the incredible work our team achieved! 

About you

Must haves:

  • Experience designing and developing applications in Java, Python or a similar language 
  • Experience of the full SDLC, including source control, testing and code reviews 
  • Comfortable working with large codebases  

Great to haves:

  • Relevant STEM degree (e.g., Computer Science, Engineering, Physics, Maths) 
  • 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  
  • Experience with machine learning frameworks such as Tensorflow orPyTorch 
  • Experience with working in a Linux environment  

Equal Opportunities

Here at Featurespace we are committed to being a place of equality, inclusion and respect to provide a safe environment for you to bring your authentic self to work. We know that we gain as much strength from our differences as we do our similarities. We value diversity and are dedicated to listening and learning from each other to build and maintain a positive and productive culture. We appreciate this will be an ever-evolving focus for the business to ensure everyone feels supported and has a sense of belonging.

How to apply

If you think you’re a good fit for the role above, we would love to hear from you.

Fill out the short application form, upload your CV and one of the team will get back to you.

If you have any questions or queries regarding this role, or life at Featurespace, please contact [email protected]

Featurespace Job Application Privacy Notice

Featurespace Ltd., is committed to comply with the General Data Protection Legislation and any implementing legislation (the “Data Protection Legislation”) and will process your Personal Data in accordance with the Data Protection Legislation and information security legislation. Any capitalised terms used in this Privacy Notice shall be given the same definition as in the Data Protection Legislation.

This Privacy Notice sets out the basis on which Featurespace Ltd will process Personal Data relating to job applicants.

The Data Controller is Featurespace Ltd., 140 Cambridge Science Park, Milton Road, Cambridge, CB4 0GF, United Kingdom.

Data refers to both Personal Data and Special Categories of Data. Your job application and the Personal Data held within it will be processed to assess your viability for the stated role. We may also process any information that you provide about your health, for the sole purpose of assessing whether any adjustments may need to be made to the recruitment process to accommodate you . If your application is unsuccessful, Featurespace will retain your Data for 24 months after the end of the recruitment process. Your Personal Data is processed in accordance with our legitimate interests of making sound recruitment decisions. You are under no obligation to provide us with your Personal Data. However without this, we cannot assess your job application. We will only process information about your health for the purpose of making reasonable adjustments to the recruitment process (if applicable), in accordance with our legal obligations. You have the following rights in relation to the processing of your Data: The right to be informed about how your Data is processed. You have the right to object to the processing of your Data based on our legitimate interests as outlined above. The right of access, to your Data and supplementary information relating to our use of your Data. In certain circumstances, we reserve the right to charge you for exercising this right. The right to rectification, if your Data is inaccurate or incomplete. In certain circumstances, the right to erasure, request the deletion of, or removal of, your Data. In certain circumstances, the right to restrict processing, block any further processing of your Data. We shall respond to any request made by you without delay and in any case within a month of your request. The right to complain to the Information Commissioner’s Office if you believe that your data protection/privacy rights have been breached. Your application will be submitted and stored on an application database (Greenhouse). Access to your Data on Greenhouse is limited to the relevant persons for your application- our internal recruiters, the hiring manager and interviewer(s). Your CV may be printed and shown to consulted decision makers, any physical copies will be securely and confidentially destroyed after a decision has been made on your application. Your CV is transferred to a third country, outside of the EEA, when it is processed by Greenhouse. Greenhouse meet the technical and organisational data security measures outlined in the GDPR Article 32, and are SOC2 Type II certified. We do not envisage that any decision will be taken about your application using automated means.