Research Engineer

Research Engineer at a LeadingAI Tech Firm

Please ensure you read the below overview and requirements for this employment opportunity completely.

Seize this remarkable opportunity as a Research Engineer to work at the forefront of technological advancements, where your expertise in artificial intelligence contributes to groundbreaking and practical solutions.

This pivotal role empowers you to shape the future of technology through significant contributions to projects that are setting new benchmarks in AI innovation.

Not convinced? Consider the experience of a Cambridge PhD and ML Engineer with over a decade in the field in this very team: "I've learnt more here in the past six months than in my entire career."

What youll be doing
Focus on implementing, deploying, and monitoring deep learning models, including LLMs, ensuring they are scalable, robust and meet performance benchmarks.
Work on optimising model deployments and designing features within their deep learning systems, with a focus on improving search functionalities and system performance. This includes conducting comprehensive evaluations to ensure latency and accuracy are optimised across different implementations.
Communicate complex technical solutions to colleagues to facilitate collaboration and knowledge sharing. You will guide and influence the strategic direction of projects, fostering innovation within a skilled, multidisciplinary environment.
Engage in continuous professional development and contribute to a culture of innovation and high performance. Tackle complex technical challenges and adapt to evolving project scopes as our Applied Science team grows.
What experience youll need to apply
Solid understanding of deep learning frameworks and scripting with Python.
Capabilities in managing data at scale, ensuring integrity and effectiveness.
Natural language processing and related technologies experience.
Proficient with modern ML deployment and MLOps is essential e.g Sagemaker, Kubeflow, or straight to Ec2 instance etc.
Skilled in operational aspects of AI implementations, including continuous integration and deployment.
Exposure to dynamic startup or scale-up ecosystems.
What youll get in return for your experience
Salary up to £140,000including a comprehensive benefits package and equity.
Unrivalled development opportunitiesworking alongside the world's best.
Hybrid work arrangement (1 day per week in London), blending in-office collaboration with remote flexibility.
Work with cutting-edge deep techin a resource-rich setting.
What's next?

Ready to take on a role that challenges and expands your abilities? Apply now to become a cornerstone in a team dedicated to pioneering advances in AI.
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