Signal AI

About Signal AI

Augmented AI for smarter business decisions

🏢 Tech, Retail👥 101-200 employees📅 Founded 2013📍 Old Street, London, UK💰 $266.8m4.1
B2BArtificial IntelligenceBig dataMachine LearningSaaS

Key Highlights

  • Headquartered in Old Street, London, UK
  • $266.8 million raised in Series D funding
  • Analyzes over 5 million global news and social sources
  • High-profile clients include Google and Deloitte

Signal AI, headquartered in Old Street, London, utilizes advanced machine learning to analyze over 5 million global sources, providing real-time insights for clients like Google and Deloitte. With $266.8 million raised in Series D funding, Signal AI focuses on decision augmentation, helping business...

🎁 Benefits

Signal AI offers a fully remote work policy with 6 weeks in summer and 3 weeks in winter, unlimited paid time off, share options for employees, and de...

🌟 Culture

Signal AI fosters a culture of continuous learning and innovation, emphasizing the importance of machine learning in decision-making. The company prio...

Signal AI

Software Engineering Mid-Level

Signal AILondon - On-Site

Posted 1 month ago🏛️ On-SiteMid-LevelSoftware Engineering📍 London💰 $5,400,000 - $5,400,000 / daily
Apply Now →

Skills & Technologies

Overview

Signal AI is seeking a Software Engineer (Risk) to help build AI-powered solutions that transform external data into actionable insights. You'll work with Java and contribute to complex features impacting global enterprises. This role requires a solid engineering background and a passion for innovative technology.

Job Description

Who you are

You have a solid background in software engineering, with experience in building scalable applications that leverage AI technologies. Your expertise in Java allows you to contribute effectively to complex features that enhance decision-making processes for global enterprises. You thrive in an inclusive environment where diverse perspectives are valued, and you are eager to collaborate with a team that encourages innovation and creativity.

You understand the importance of transforming unstructured data into actionable intelligence, and you are passionate about using technology to drive business outcomes. Your problem-solving skills enable you to tackle challenges head-on, and you are committed to delivering high-quality solutions that meet user needs. You appreciate the value of continuous learning and are always looking for ways to improve your skills and knowledge in the field.

Desirable

Experience with AI technologies and data processing frameworks is a plus, as it aligns with our mission to change how businesses make decisions. Familiarity with cloud platforms and modern development practices will also enhance your contributions to our engineering team.

What you'll do

As a Software Engineer at Signal AI, you will be responsible for developing and enhancing our AI-powered platform that processes vast amounts of external data. You will work closely with cross-functional teams to design and implement features that provide actionable insights to our clients. Your role will involve writing clean, maintainable code and participating in code reviews to ensure the highest quality standards.

You will collaborate with data scientists and product managers to understand user requirements and translate them into technical specifications. Your contributions will directly impact how businesses navigate enterprise risk and strengthen their reputation in the market. You will also have the opportunity to mentor junior engineers, sharing your knowledge and helping them grow in their careers.

What we offer

At Signal AI, we are committed to fostering an inclusive workplace where every team member feels valued and heard. We offer competitive compensation and benefits, along with opportunities for professional development and growth. You will be part of a dynamic team that is dedicated to pushing the boundaries of AI technology and making a real difference in the business world. Join us in our mission to empower decision-makers with the insights they need to succeed.

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