Founded by a world-class scientist Dr Danica Damljanovic, and backed by the award-winning Entrepreneur First, 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.

rich.jpg

Richard Jackson, PhD

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.

Image-1.png

Eihab Mohamed

Commercial Engagement and Strategy

Eihab Mohamed brings commercial client engagement and strategy focus, in support of Sentient Machine’s growth plans. A senior professional in his field, he has worked with a diverse range of customer service & sales organisations, including those in the Financial Services, Media, Telecom, Hi-tech, Healthcare, Automotive sectors, and outsourced call centres.

Xingyi Song

Xingyi Song, PhD

Speech and NLP Scientist

Initially trained as a System Control Engineer Xingyi moved to AI/NLP soon after graduating. He completed his MSc and PhD studies at the NLP group, at the University of Sheffield, working on Machine Translation. After finalising his PhD, he worked as machine translation engineer and on the cutting edge research projects such as Kconnect, working on several medical domain NLP tasks, including sentiment analysis, name entity recognition, suicidal ideation detection, and Semantic indexing.

 

Advisers

simon.jpg
Timo_Mennle-square.jpeg
neil.png

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 Adviser

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.

Neil MacDonald

Sales and Scale-up Adviser

Neil has over 25-years experience in sales, marketing and business operations, specifically in the high-tech industries, and is now providing the benefits of that experience to highly disruptive, brilliant, leading-edge tech talent across Europe and North America. Having held senior positions with SwiftKey, HP and Nuance, he has the breadth of experience to help companies move from small-scale start-up, through their growth stage, to ultimately deliver long-term sustainable business. He has achieved 6 successful exits, worth over $1/2 billion in the past 8 years and has established himself as a start-up to scale-up expert particularly in the Artificial Intelligence and Human-Computer-Interface disciplines.

Open Positions


Full stack engineer

 

ABOUT SENTIENT MACHINES

Sentient Machines is founded by Dr Danica Damljanovic, an expert on Natural Language Processing, and backed by an award-winning accelerator Entrepreneur First in London. Danica has worked with the SRI team who developed Siri, before it was acquired by Apple. She has published more than 40 publications cited over 1200 times, and a book on text analytics. Danica's passion for language and AI is embedded in Sentient Machines, where we have built an advanced AI platform that can analyse and improve human communication using natural language.

OUR MISSION

Our mission, to improve human communication is our belief that AI, used to positively assist humans, is stronger than AI or humans working independently. Utilising AI to empower people to both learn faster and  enhance their lives meaningfully is our passion.

We have created a bespoke Natural Language Understanding platform that seamlessly plugs into call centre systems to give the next-generation AI understanding to human communication.

  • Sentient Analytics looks at 100% of calls in real time, providing instant deep insights that can enhance the productivity and effectiveness of call agents by 70%, drive personalised training, and increase the efficiency of QA teams by 90%.

  • Sentient Automate, not only improves customer experience by resolving repetitive cases immediately, but it intelligently delegates any unresolved calls to skilled agents. This automation results in massive cost reduction and transforms customer experience by reducing waiting times to zero and enabling 24/7 availability for support lines.

WHAT WE OFFER

Our platform is built using Java and Scala, and Python wrapped up as services for our Machine Learning algorithms, with MongoDB at the backend, and Play framework and React.js at the front end. We use google cloud in our development, docker, and Kubernetes. We use GitLab for collaboration and continuous integration. We are passionate about automating all our workflows and making testing and deployment as seamless as possible. We are not too proud of how we implemented search and will be looking into Elastic Search as soon as possible. We run weekly sprints and retros.

This is a rare opportunity to work with an AI company that is actually doing AI and has it in its core. There will be an opportunity for this role to move towards a more senior role as a CTO. As the first senior person in the team you will have the opportunity to make many decisions about the team practices, the stack, and even the UI.

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

 

YOU AND YOUR SKILLS

You are a full stack engineer with experience in developing scalable and beautiful software. You are always interested to explore and learn new things, and you care about the code you write. You can build performant applications from scratch and you like to work in demanding, but rewarding environments. You love data and have passion and desire to learn about AI.

You don’t accept things as they are, you challenge things and strive to make a difference in the world. You have passion to optimise and improve.

Required:

  • Fluency in one of: Java, Scala, Python

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

  • Knowledge of HTML, CSS, Javascript

  • Docker, Linux, Kubernetes

  • Knowledge of continuous integration and continuous deployment processes

  • University level education in computer science, or equivalent experience

  • Communication skills

Desired:

  • Experience with GCP and/or AWS

  • Experience with security standards such as ISO 27001

  • Knowledge of Hotjar and/or Google Analytics

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

Your main responsibility will be to maintain and constantly improve the current Sentient Analytics dashboard and implement the platform around Sentient Automate

If you are interested please send your CV to jobs@sentientmachines.tech or send us a note using the form below.


Natural Language Processing and Deep Learning Scientist

ABOUT SENTIENT MACHINES

Sentient Machines is founded by Dr Danica Damljanovic, an expert on Natural Language Processing, and backed by an award-winning accelerator Entrepreneur First in London. Danica has worked with the SRI team who developed Siri, before it was acquired by Apple. She has published more than 40 publications cited over 1200 times, and a book on text analytics. Danica's passion for language and AI is embedded in Sentient Machines, where we have built an advanced AI platform that can analyse and improve human communication using natural language.

OUR MISSION

Our mission, to improve human communication is our belief that AI, used to positively assist humans, is stronger than AI or humans working independently. Utilising AI to empower people to both learn faster and  enhance their lives meaningfully is our passion.

We have created a bespoke Natural Language Understanding platform that seamlessly plugs into call centre systems to give the next-generation AI understanding to human communication.

  • Sentient Analytics looks at 100% of calls in real time, providing instant deep insights that can enhance the productivity and effectiveness of call agents by 70%, drive personalised training, and increase the efficiency of QA teams by 90%.

  • Sentient Automate, not only improves customer experience by resolving repetitive cases immediately, but it intelligently delegates any unresolved calls to skilled agents. This automation results in massive cost reduction and transforms customer experience by reducing waiting times to zero and enabling 24/7 availability for support lines.

 

WHAT WE OFFER

Our platform is built using Java and Scala, and Python wrapped up as services for our Machine Learning algorithms, with MongoDB at the backend, and Play framework and React.js at the front end. We use google cloud in our development, docker, and Kubernetes. We use GitLab for collaboration and continuous integration. We are passionate about automating all our workflows and making testing and deployment as seamless as possible. We run weekly sprints and retros.

This is a rare opportunity to work with an AI company that is actually doing AI and has it in its core.

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

YOU AND YOUR SKILLS

Ideally, you studied or have a lot of experience in Natural Language Processing, Machine Learning and Neural Networks. You are passionate about language and how people use it to express themselves, their feelings and emotions.

 

Required qualifications:

  • PhD in computer science and AI, or equivalent

  • Fluency in at least one of the following: Java, Python, or Scala

  • Passion to work with new technologies and learning

  • Experience using one of the well known frameworks for deep learning such as TensorFlow

  • Experience in working with Linux

  • Passion for what you do

 

Desired qualifications:

  • Experience in solving problems through building deep learning algorithms

  • Experience in putting experimental code into production

  • Passion for learning new languages

  • Experience with GCP and/or AWS

  • Knowledge of continuous integration and continuous deployment processes

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

 

Your main responsibility would be to improve existing and build new algorithms used in natural language understanding using the latest improvements in deep learning.

If this sounds like you, please give us a shout at jobs@sentientmachines.tech


Apply

Name *
Name
http://