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RedCloud is fixing the global supply chain. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment. Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America.
Job Responsibility:
Design, develop, and deploy ML systems to solve real world problems and enhance business processes
Leverage cloud platforms to build, train, and scale ML models
Develop and implement state-of-the-art algorithms, including Computer Vision techniques, LLMs and other GenAI models
Handle and analyze large amounts of data to train and validate machine learning and deep learning models
Ensure AI solutions are scalable and reliable through continuous iteration and optimization
Collaborate closely with cross-functional teams, including data scientists, data engineers, and software developers, to integrate AI solutions into existing systems
Work with Product and business stakeholders to understand challenges and translate them into efficient AI-driven products aligned with broader business goals
Keep up with the latest advancements in AI, research new techniques and implement them to enhance the performance and accuracy of solutions
Requirements:
3+ years of experience in Data Science
A deep understanding of machine learning concepts, NLP techniques, and AI model valuation metrics
Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others
Experience with cloud-based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI)
Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL
Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks
An interest in working across both software engineering and AI, with the ability to piece together solutions using a variety of tools and techniques
Excellent communication skills, with a collaborative approach to working within diverse teams
A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches
Nice to have:
Knowledge of Large Language Models, retrieval-augmented generation and generative AI is a nice to have
What we offer:
25 Days Annual leave, increasing to 26 days after 12 months in the business
Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
Healthcare Cashplan with Medicash
Private Healthcare with Aviva
Life Insurance with AIG
Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness