Machine Learning and AI Engineer - London

• Develop and fine-tune machine learning models, craft analytical pipelines, and orchestrate their integration into high-capacity production environments.
• Foster productive cross-functional communication with Product teams, actively proposing AI-driven enhancements for novel product features.
• Execute rigorous technical assessments, perform thorough code audits, and lead design reviews to ensure the highest standard of quality and performance.
• Engage in in-depth technical exploration of diverse machine learning solutions, technology stacks, and infrastructure to drive innovation and optimisation.

About The Job

Reflexivity's software engineers drive the development of cutting-edge technologies that transform how millions of users connect, explore information, and engage with the market.

Our products must effectively manage vast amounts of data and go far beyond generating investment insights. We seek engineers who bring innovative concepts from diverse fields such as information retrieval, distributed computing, designing large-scale systems, networking, data storage, cybersecurity, artificial intelligence, natural language processing, mobile and UI design - the range continues to expand constantly.

As a Machine Learning and AI Engineer, you will design and implement Machine Learning solutions for internal and customer use cases, leveraging best of breed products including TensorFlow/PyTorch, DataFlow, OpenAI, LLAMA, and Vertex AI. You will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will document, design, secure, maintain, and enhance software solutions.

Reflexivity aims to become an inclusive organization that mirrors the globally varied audience benefiting from our products and technology. We firmly believe that a diversity of viewpoints, concepts, and cultures not only enriches our workforce, but also results in the development of superior products and services.

At its core, Reflexivity embodies an engineering ethos. We recruit individuals with a wide array of technical proficiencies who are prepared to confront some of technology's most significant hurdles and leave a mark on global users. Within Reflexivity, engineers not only pioneer advancements in the investment space, but they also routinely address scalability and storage solutions, develop large-scale applications, and introduce entirely novel platforms for other developers.

• Bachelor's degree in Computer Science, Software Engineering or other Quantitative field (e.g. Physics, Mathematics, Statistics) or equivalent practical experience.
• 4 years of experience in Machine Learning, NLP or other applied AI.
• Experience in coding, unitest and scripting in one or more languages (Python, C, C++ or Go)., * Experience with deep learning frameworks (such as TensorFlow, PyTorch, transformers).
• Experience with model training/deployment frameworks, e.g., mlfow, triton inference server, torch server or text generation inference.
• Experience in delivering complex Artificial Intelligence (AI) or data analytics projects.
• Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, transform, and load (ETL) and reporting/analytic tools and environments such as Apache Beam, Hadoop, Spark.
• Demonstrated ability to translate business problems in AI projects.
• Excellent communication skills.