Collaborating Authors

Full Stack Software Engineer - Swansea SA1 -


Vortex IoT Ltd was established in 2018 and has gone from strength to strength. As a winner of several awards and recognised for the company's ability to cast a shadow over their competitors, Vortex IoT Ltd leads in its space due to its team of specialists with expertise in Software Development, Research & Development, Firmware, Product Design and Artificial Intelligence. In a nutshell, Vortex IoT Ltd build sensors and network devices for harsh environments, where conditions are hostile, power supply is limited, AI is needed, and data security is critical. We are looking for Software Engineer with the capability to work across the tech stack including infrastructure, back-end microservices and the front-end UI. The main purpose of the Software Engineer is to build secure software applications to integrate with remotely deployed mesh networks and provide an easy-to-use UI to enable quick and inciteful analytical processes on the data collected.

Machine Learning - Senior Software Engineer


Elastic is a search company with a simple goal: to solve the world's data problems with products that delight and inspire. As the creators of the Elastic Stack, we help thousands of organizations including Cisco, eBay, Grab, Goldman Sachs, ING, Microsoft, NASA, The New York Times, Wikipedia, and many more use Elastic to power mission-critical systems. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. We have a distributed team of Elasticians across 30 countries (and counting), and our diverse open source community spans over 100 countries. We are looking to add a hardworking software engineer to join our team, who can help contribute to our information retrieval initiatives through machine learning (ML) and natural language processing (NLP).

Machine learning at Elasticsearch: In quest of data anomalies - JAXenter


Shay Banon: When I first released Elasticsearch, I had one goal. Make it simple for a developer to get started, download, and install Elasticsearch on their laptop, load data into it, and get really fast results in milliseconds or less. Today we have more than 130 million downloads of our software and our community has grown to more than 100,000 developers across 100 countries. While there are lots of individual milestones for Elasticsearch, I'll highlight a few company milestones that make us who we are today. Early on in 2013, Kibana and Logstash joined forces with Elasticsearch to create the de facto open source logging solution.

Sr. Product Manager - Technical/


DESCRIPTION Amazon Connections is an innovative program that gives Amazonians a confidential and effective way to give feedback on the workplace and help shape the future of the company. By asking employees quick questions every day, Connections leverages real time information to learn more about their experiences and introduce positive changes with internal business partners around the world. Our goal is to help develop leaders who earn trust, remove barriers to excellence and make Amazon an inspiring place to work. Connections products form a world-class system currently supporting thousands of simultaneous users across 10 languages in 23 countries which will scale exponentially for all Amazon Employees across the globe. The Connections team is looking for an experienced Senior Product Manager to own the product vision and definition of the portfolio roadmap for Automation, Machine Learning, Case Management tools, and Big Data.

Data Scientist / Python Engineer / Machine Learning - Career Guidant, Inc - Alpharetta, GA - 06-22-2018


Please send me your updated We are seeking a passionate Senior Python Engineer to help research, design and implement machine learning applications to solve business problems in the HR services domain. You must be a developer with a keen sense of good system design and application architecture. We are looking for someone who has a background in both software engineering and machine learning and experience building APIs. Responsibilities: - Ensure that machine learning applications are available to product via use of APIs.