AI expert writing calculations on a whiteboard

About re:infer

About re:infer

re:infer is pleased to publicly announce the completion of its latest round of funding, led by Touchstone Innovations (part of IP Group) with participation from Crane Ventures. Existing investors Seedcamp and AI pioneer Dr Jason Kingdon also participated.

You can read the full press release here.

The Business

re:infer makes human conversations understandable at scale and actionable to machines. We make it easy for our (often non-technical) users to create, manage and deploy state of the art machine learning algorithms against high volume streams of conversational data. The product is a B2B SaaS machine learning and analytics platform controlled and monitored via a web UI.

We’re a VC backed, early stage startup that’s growing very fast. New joiners have an opportunity to make a big impact, from a small team, to tackle a huge commercial problem.

Technically, the work is innovative and challenging. The ML models train in real-time without human supervision, are deployed against very large scale streaming datasets in a platform which is highly robust from an availability and security standpoint.

We research and develop novel machine learning algorithms to extract an accurate and true understanding of human communication with minimal human supervision.

The Team

re:infer was founded by machine learning researchers, engineers and entrepreneurs from UCL and Google. We’re a small team of technologists motivated by solving the very hard problem of getting machines to understand human communication.

Colleagues sitting aroung a coffee table, smiling
Colleagues at work

The company is backed by Seedcamp, successful European tech angel investors and one of Europe's leading VCs.

The Stack

The technologies we work with include:

Jobs at re:infer

We think re:infer is a great place to work, and we think you would too. We’re dedicated to what we’re doing and we work hard in a sustainable and healthy way. All that matters is that you contribute effectively and work well with the team.

The benefits of working here include:

  • The opportunity to work closely with industry experts on truly transformative technology;
  • Competitive salary;
  • Generous company pension;
  • Flexible working, with late starts, early finishes and working from home all accommodated;
  • Regular company lunches and other team events;
  • A friendly, informal office in the heart of London's Tech City.

Current Openings

The roles for which we're actively recruiting are listed below. If you don't see the position for you but you like the idea of working with us at re:infer, we'd still love to hear from you.

Front-end developer

Junior / Mid-weight

Who we’re looking for

We’re looking for someone who loves what they do. The single most important thing is that you have to be passionate about programming and love learning new things. Beyond that you need to be nice, motivated, self starting, honest and responsible.

What you’d be doing

You’ll become a core member of the engineering team and will be working on our front-end - an essential part of the success of the machine learning platform. You will work closely with our front-end lead building new features and fixing bugs, and maintain a close working relationship with the back-end developers. There will also be the opportunity to get involved with anything else that's on our roadmap, including helping to hire and grow the team as needed.

Skills and experience

Sorted from “essential” to “nice-to-have”:

  • React, Redux
  • Less, Sass, CSS Modules or CSS-in-JS
  • Communicating with REST APIs
  • Webpack
  • Typescript
  • D3.js, Immutable.js, Gatsby.js

Data Engineer

Who we’re looking for

We’re looking for someone who’s really into programming, who can learn quickly and adapt to changing requirements. Beyond that you need to be kind, courteous, motivated, self-starting, honest and responsible.

What you’d be doing

As a Data Engineer you'll work closely with machine learning engineers and data scientists, designing and building new data pipelines and processes to enable re:infer to expand its natural language processing platform to as many sources of data as possible. With new kinds of data streams coming in all the time, you’ll be working all the way from the initial manual processing and upload to the fully automated, distributed, productionised pipeline.

Skills and experience

Sorted from “essential” to “nice-to-have”:

  • Python data processing
  • Pandas, numpy, scipy, sklearn
  • Linux
  • Interfacing with third-party REST APIs
  • Understanding of different database systems
  • Git

Customer Success Lead

Who we’re looking for

We're looking for someone who is passionately focused on the customer, able to collaborate effectively internally and externally to get things done while providing an excellent customer experience. He/she will have a consultative mindset, and a tenacious commitment to continuous improvement.

What you’d be doing

As a Customer Success Lead, you will be responsible for delivering re:infer’s cognitive automation platform directly with enterprise clients. This is a technical project management / consultancy role requiring sophisticated client and stakeholder management. You will be a skilled relationship builder who can liaise with internal engineering teams and build trust with customers as they journey from pilot to production, ensuring successful integration and deployment. You will partner with the customer as trusted advisor, guiding the client to understand re:infer’s system architecture, core capabilities, successful integration within broader IT landscape, information security, route to deployment, effective user engagement, education and use-case prioritisation. As a respected senior professional, you will be technically confident with excellent communication skills and regarded as the client-facing representative of the re:infer brand.

Skills and experience

Sorted from “essential” to “nice-to-have”:

  • 3-5+ years working in professional consulting or project management positions with demonstrable client-facing experience.
  • Bachelor's Degree from leading university.
  • Knowledge and experience of the enterprise IT landscape - infrastructure, architecture, data-centres, cloud deployment, information security.
  • Ideally a background in delivering successful digital transformation projects.
  • Ideally a knowledge of the enterprise automation journey [RPA and cognitive].
  • Exceptional communication and interpersonal skills and attention to detail.
  • Technically confident thinker with the ability to digest technical concepts and problem-solve.
  • Must have a passion for startups, artificial intelligence and digital transformation.
  • Willing to travel.