A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to be responsible for establishing best practises and developing/deploying core ML/AI Algorithms required to tackle data science challenges.
Play a pivotal role in crafting, enhancing, and managing intricate data ingestion pipelines, ensuring their efficiency, scalability, and dependability.
The ideal candidate will have industry experience working on a range of deep learning solution involving CNN, RNN etc.
The AI team is looking for an exceptional machine learning engineer in a leadership role to join the growing team.
The position will involve taking these skills and applying them to some of the exciting problems in speech, audio and computer vision in an embedded platform.
We are seeking a talented and experienced Machine Learning Engineer to join a a rapidly expanding health-tech start-up, who are looking to be number 1 in the industry in the next 5 years.
As a Machine Learning Engineer, you will play a critical role in architecting, building, testing, and delivering a new and improved running engine that generates adaptive training plans for tens of thousands of active users.
Experience in recommender systems and distributed, decentralized, or federated learning or natural language processing.
General
Position Requirements: PhD or equivalent Master's Degree plus 4 years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) Publication track records in top tier Computing/NLP/AI/ML conferences or journals Passionate about data and machine learning Programming experience in Python, R, C, or C Software engineering background, e.g., you have a Computer Science background, or software engineering working experience Able to work independently and as a team, and drive a project from its inception to the finish line on time
As a Machine Learning Engineer, you will tackle data science challenges, trailblaze the development of algorithms, and support commercial goals through innovative data science approaches.
Join our Data Science team to establish best practices and develop/deploy core ML/AI algorithms.
Key Accountabilities / Responsibilities
Lead the implementation of data science projects, developing algorithms and data science approaches to support commercial objectives.
Are you passionate about using AI and machine learning to make a real-world impact within the world of Financial Crime?
Do you thrive on solving complex problems and uncovering hidden patterns in data?
Join this forward thinking Fintech, help them protect our customers from financial crimes, starting with APP (Authorised Push Payment) Fraud prevention.