UK, Remote

Research Engineer (Java, Cloud MLOps)

The Opportunity

Featurespace is launching a new R&D division to design and develop a cutting-edge cloud-native MLOps platform for stateful real-time analytics, and we are looking to build a small team of people with a “start-up mindset” to take ownership of this project.

This is an exciting and unique opportunity for a talented individual to join the team as a Research Engineer, working alongside our Research Fellow on an innovative product that will make a real difference, not only to our existing customers, but also across a multitude of different businesses and industries. If you want to be part of the team that builds scalable distributed solutions to process big data, Featurespace wants to hear from you. 

We are looking to hire multiple people for this team, across a range of experience levels; from bright graduates to those at senior or principal level. Most important to us is attitude – we’re looking for entrepreneurial spirit, excitement to build a new product and to take ownership of the process end-to-end, and the willingness to wear different hats every day and to go the extra mile to help build something amazing.

This is a fully remote role to be based in the UK, and whilst it would be a plus to be able to very occasionally visit the Cambridge office to meet up with team members, this isn’t a definitive requirement for this role.

Day to Day

  • Working within a small team to design large-scale, real-time distributed architectures 
  • Delivering new features: from specification, through development, QA, and into final deployment
  • Providing input into future technology development 
  • Working with Data Science teams to ensure APIs are relevant and usable 
  • Supporting your code throughout its lifetime  
  • There will be an on-call rota for your code in production 
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Meet Lucy, Head of Data Science Operations at Featurespace

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About you

We are looking for people with a “T-shaped” set of skills; a broad range of interests and experience in technology combined with strong expertise in one area. This team operates and develops across the entire stack and eco-system. Aside from just development, the ideal candidate needs to be able and willing to turn their hand to automation, testing, as well as contributing to architecture discussions. Some attributes we’re looking for are below: 

  • Experience of designing and developing scalable distributed applications in Java or another object-oriented language
  • Comfortable working with large codebases with knowledge of how to keep them maintainable. 
  • Solid understanding of distributed system principles 

In addition, we’re looking for experience in one or more of the following specialist areas: 

  • ML Ops – operational tools for running mission-critical real time analytic systems 
  • Cloud architecture – an understanding of the idioms of cloud computing and an understanding of the strengths and trade-offs in terms of costs/security between various cloud services 
  • Containers and container orchestration – understanding of common Kubernetes deployment patterns and an ability to automate deployments 
  • Machine learning and Data engineering  – understanding of the patterns of analytic computation including model training for deep neural networks as well as classical ML systems, strong understanding of map-reduce concepts 
  • CI / CD systems – experience automating the complete lifecycle of software deployment including performance, security and reliability testing as well as production deployment 
  • Concurrent Java – Understanding of the concurrency primitives and memory sharing model 
  • Front end development – ability to build simple UIs using frameworks like React, Angular, or Vue

We recognise that the set of skills we are looking for are unusually broad, so if you are strong in one or two areas and are eager to learn about the others, we would love to hear from you! 

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 ‘start-up’, entrepreneurial mentality – excited to build a new product, wear different hats, and go the extra mile
  • 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 [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., 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.

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