Founded by world-class scientists and entrepreneurs Dr Danica Damljanovic and Dr Lorenz Fischer, Sentient Machines is on a mission to create the next break-throughs in natural language understanding.

 

Sentient Machines builds machine learning products to turn analysis of natural language interactions into data-driven business decisions. Employing cutting edge research in natural language processing, machine learning and BigData analytics, to process swaths of data and provide you the insights you need to improve your products, services and improve user satisfaction.

 

Core team

Our team is a rare combination of the expertise in AI, NLP and Big Data analytics.

Danica

Danica Damljanovic, PhD
CEO & Co-founder

Danica has over 13 years experience in AI and NLP, and has worked with the SRI team that developed Siri, and in Recordsure analysing human-to-human conversations. As an internationally recognised scientist Danica has published more than 40 publications, and a book on text analytics, cited over 1200 times. She received her PhD in AI and NLP from the University of Sheffield.

Lorenz

Lorenz Fischer, PhD
CTO & Co-founder

Lorenz is a scientist and data engineer with 11 years of professional experience in software engineering and he worked for companies such as Yahoo and Swisscom where he’s already built real-time data insights products. He is a proficient Scala and Java developer with a focus on Big Data backend engineering. He received his PhD in Big Data Analytics from the University of Zurich.

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Richard Jackson, PhD pending
Research Engineer

Richard has over a decade of experience in data science, working within the corporate sector, the NHS and academia. He conceived the CogStack project within the London NHS arena, leading a transformative perspective on how analytics within complex corporate environments might work.

 

Associates & Advisors

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Semir Jahic
Business Strategist

Semir is currently finalising his MSc degree in Technology Management, and has extensive experience in consulting
in customer care operations,  CRM and Salesforce experience. He worked for Accenture as a consultant, and is also experienced in web development, design, programming, Salesforce, Google Apps and business process optimisation as well as design of processes and design thinking.

 

Simon Shaw
Industry Adviser

Internationally experienced, strategic customer contact professional with a strong track record of leading customer experience and operational transformation initiatives across a range of industry sectors. Recent experience includes delivering a strategic Omni-channel technical and people driven solution across all customer touch points. Has worked for a range of organisations including; Expedia, Eurostar, Carnival Cruises, Gatwick & Stansted Airports, onefinestay, Guinness and BBC.

Timo Mennle, PhD
Strategic Advisor

Timo is passionate about questions on the interface of business and IT. He contributes expertise on business value creation and electronic market design. As a management consultant with the Business Technology Office of McKinsey & Company, Timo advised clients on product strategies, IT strategies, and large transformation programs. He holds a Ph.D. in Computer Science in the field of Economics and Computation and a Master’s degree in Financial Mathematics.

Open Positions


UX/Frontend developer

 

OUR MISSION

At Sentient Machines, we build machine learning products to turn analysis of natural language interactions into data-driven business decisions. We employ cutting edge research in natural language processing, machine learning and BigData analytics, to process swaths of data and provide our customers with the insights they need to improve their products services and reduce user dissatisfaction.

Our first product, Sentient Analytics, is a web based data dashboard that our customers use to gain insight into the weaknesses of their business. This dashboard is crucially important because it is the primary way our customers experience Sentient Machines technology and it is the primary way Sentient Machines is collecting data to improve its machine learning models. That’s why we are looking for a top-notch front-end / UX engineer to join our team.

WHAT WE OFFER

We are a world class team, consisting of scientists, data- and, business engineers. We are three PhDs (AI, NLP, BigData) and 1 BSc (Business Engineering) and we use the power of AI to help remove the frustration from the call centre industry.

We offer a market rate salary including equity in the company.

 

YOU AND YOUR SKILLS

Ideally, you are a front-end engineer with experience in UX and the development of web applications. You have an eye for beauty and product design and you care about the design of everyday things. You can build performant web applications from scratch and you like to work in demanding, but rewarding environments. You love data and AB-testing is your primary way of validating design hypotheses.

 

Required qualifications:

  • Fluency in HTML, CSS, Javascript

  • University level education in UX, computer science, or equivalent experience

  • Fluency in at least one modern backend technology (Node.js, Play Framework etc.)

  • Fluency in modern web frameworks such as: ReactJS, Angular, Coffeescript, Knockout.js, Bootstrap etc.

 

Desired qualifications:

  • Experience in building performant web applications

  • Experience in working with Linux

  • Experience with GCP and/or AWS

  • Knowledge of continuous integration and continuous deployment processes

  • Knowledge of Hotjar and/or Google Analytics

  • Fluency in one of: Python, Java, Scala, C++

  • Experience with one of: MongoDB, Elastic Search, Lucene, Solr, MySQL, Postgres

 

Your main responsibility would be to develop our dashboard - supported by our backend engineers, scientists, as well as collaborating with the project managers of our customers.


If this sounds like you, please email your CV to hello at sentientmachines.techor send us a note using the form below.


Speech Engineer Intern

OUR MISSION

At Sentient Machines, we build machine learning products to turn analysis of natural language interactions into data-driven business decisions. We employ cutting edge research in natural language processing, machine learning and BigData analytics, to process swaths of data and provide our customers with the insights they need to improve their products services and reduce user dissatisfaction.

Our first product, Sentient Analytics, is a web based data dashboard that our customers use to gain insight into the weaknesses of their business. This dashboard is crucially important because it is the primary way our customers experience Sentient Machines technology and it is the primary way Sentient Machines is collecting data to improve its machine learning models. That’s why we are looking for a top-notch front-end / UX engineer to join our team.

WHAT WE OFFER

We are a world class team, consisting of scientists, data- and, business engineers. We are three PhDs (AI, NLP, BigData) and 1 BSc (Business Engineering) and we use the power of AI to help remove the frustration from the call centre industry.

We offer a market rate salary including equity in the company.

 

YOU AND YOUR SKILLS

Ideally, you studied Natural Language Processing and Speech - or have the experience in extracting audio features to turn them into useful insights. You are passionate about language and how people use it to express themselves, their feelings and emotions.

 

Required qualifications:

  • Fluency in at least one programming language: Java, Python, Scala

  • University level education in Computer science, Speech and Language processing, or equivalent experience

 

Desired qualifications:

  • Experience in working with Linux

  • Experience with GCP and/or AWS

  • Experience with backend programming and databases such as: MongoDB, Elastic Search, Lucene, Solr, MySQL, Postgres

 

Your main responsibility would be to work on the audio processing and feature extraction of cues useful for understanding of natural language.


If this sounds like you, please email your CV to hello at sentientmachines.tech or send us a note using the form below.


Apply

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