UK, Remote

Senior Software Engineer - Machine Learning

The Opportunity

Featurespace have an exciting opportunity for a passionate and experienced Senior Software Engineer to join our core Machine Learning team at Featurespace, to work on our industry-leading fraud fighting technology, alongside our existing team of innovators and experts.

As a Senior Software Engineer in our Machine Learning team, you’ll help us achieve our goals and deliver success on behalf of our customers by optimising offline steps required to build high performing real-time fraud detection models, and implementing new features within the ARIC platform that improve the analytic performance of fraud detection models, whilst acting as a senior member of the team with the responsibilities that come with this.

For this role we are considering candidates remotely across the UK, but with a preference for those who would be willing and able to commute to our Cambridge office on occasion.

Day to Day

  • Working with data scientists to develop internal tools for model iteration and data preparation
  • Engineering optimised and maintainable high-throughput data processing software
  • Championing software engineering process and process improvements
  • Sharing expertise with colleagues and others; offering mentoring and guidance
  • Coordinating work across multiple teams; writing tech specs and identifying risks before development
  • When needed, taking on additional “tech lead” responsibilities for driving initiatives to completion
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Meet Lucy, Head of Data Science Operations at Featurespace

Check out Lucy’s blog to see what life at Featurespace is really like!

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About you

We are looking for the following:

  • Experience designing and developing scalable applications in Java, Python or a similar language
  • Familiarity with modern IDEs, source control, testing, and code review
  • Knowledge of parallel and distributed computing
  • Knowledge of database architectures and data layouts for efficient processing
  • Understanding data processing requirements for machine learning algorithms
  • Knowledge of or previous experience with training and deploying machine learning algorithms
  • Experience with working in a Linux environment


It would also be great if you have:

  • Experience with performance tuning and profiling
  • Proven ability to design information rich tools in a user-friendly way
  • Experience with Deep Learning frameworks such as Tensorflow, PyTorch, or MXNet
  • Good understanding of cuBLAS and cuDNN

Personal Qualities

The work is often challenging and fast paced. We are looking for someone who has the following qualities:

  • A focus on personal achievement and responsibilities
  • Enjoys working in a team of like-minded and intelligent people to solve complex problems
  • A passion to learn new skills and technologies
  • Attention to grammatical detail, layout and presentation
  • Enthusiasm
  • A passion to work for one of the fastest growing fraud prevention technologies in the world

And most importantly, a small-company attitude: willingness to adapt to a variable role and a great can-do attitude.

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

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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., 3rd Floor, Broers Building, Hauser Forum, 21 JJ Thomson Avenue, Cambridge CB3 0FA

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.