Contribute to xWRK's mission by creating and maintaining sophisticated AI agent swarms that enhance automation within SME businesses in the UK, similar to our founders’ pioneering work at University of Toronto. The role involves developing new neural network models for scaling agents across diverse tasks while ensuring high performance efficiency.
Location: London and other major cities (selectable via dropdown)
Leverage data science skills within xWRK's AI framework by analyzing vast datasets and fine-tuning the performance of agent swarms in deep learning contexts, directly impactful on our client companies’ operations. Experience with Python for machine intelligence is preferred but not exclusive as we also seek to grow talent from diverse backgrounds.
Location: London (with opportunities elsewhere)
Create intuitive, responsive user interfaces that seamlessly integrate with xWRK’s automated agent platforms for our SME clientele. The role demands not only a strong portfolio but also an understanding of UX design principles tailored to technologically savvy users who manage complex workflow systems powered by AI agents like those at xWRK.
Location: London (with potential remote work options)
Join our engineering team to develop, test, document, deploy advanced neural network architectures that empower xWRK's AI agent swarm system. Expected candidate should have a strong background in software development with proficiency or keen interest in deep learning frameworks such as TensorFlow and PyTorch along with excellent problem-solving skills to contribute significantly from day one.
Location: London (with the possibility of remote work)
Assist businesses in evaluating and optimizing their processes by applying data-driven insights gained from our xWRK’s agents. This role requires a solid grasp of analytical tools, an understanding of the challenges faced by UK's small to medium enterprises (SME), and excellent communication skills for translating technical findings into actionable business strategies that drive performance improvement at scale.
Location: London
Enhance our existing infrastructure management solutions by employing your expertise on handling large-scale data pipelines and automating system checks with xWRK's agent swarms. Ideal candidates will have hands-on experience or a keen interest in DevOps, cloud services (like AWS/Azure), monitoring systems such as Prometheus, along with skills to deploy machine learning solutions for predictive maintenance of infrastructure at scale within an SME context.
Location: London
Design and maintain a full stack application that serves as the backbone technology layer facilitating communication between xWRK's agents, databases/data warehouses to ensure seamless automation in SME environments. Knowledge of both frontend (HTML5 / CSS3) & backend technologies with an emphasis on RESTful APIs and microservices is required for this position which may involve remote work options as well.
Location: London
Develop security measures that protect our neural network systems from vulnerabilities while ensuring the integrity of agent swarms in a rapidly growing field like deep learning which is crucial for SMEs. The candidate should have proven experience with cybersecurity best practices, and understanding how to implement AI-aware threat detection algorithms within xWRK's infrastructure.
Location: London (with opportunities across Kiev, Amsterdam & Berlin)
Contribute to the growing body of knowledge on scaling neural networks and agent swarms by conducting in-depth analyses backed up with empirical data. This role focuses not only within infrastructural domains but also offers a platform for those interested in academia or research, aiming at advancing xWRK's standing as an innovator post Laughty’s work on AI swarm scaling theory during his tenure at the University of Toronto.
Location: London (with remote positions available)
Directly impact our clients' success with projects that implement xWRK AI agents into their workflows. The ideal candidate has a project management background, ideally within technology sectors where deep learning is increasingly being used for automation enhancements and should be adept at navigating the unique challenges of SME-centric industries in Europe (London to Berlin).
Location: London & other major cities