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solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience More ❯
data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and More ❯
data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and More ❯
business success. Key Responsibilities: Design, develop, and maintain efficient and reliable back-end systems using Python and SQL . Utilize frameworks such as Django , Flask , FastAPI , Asyncio , Aiohttp , and SQLAlchemy to build scalable web applications. Develop and maintain RESTful APIs , WebSocket , and GraphQL services, ensuring comprehensive documentation with Swagger/OpenAPI . Manage and optimize databases, specifically PostgreSQL , NATS , Redis … experience as a Senior Back-End Developer or similar role. Strong proficiency in Python and SQL . Extensive experience with frameworks and libraries: Django , Flask , FastAPI , Asyncio , Aiohttp , and SQLAlchemy . Demonstrated experience in developing and managing RESTful APIs , WebSocket , and GraphQL services. Solid understanding of database management, including PostgreSQL , NATS , Redis , and Min.IO . Hands-on experience with Microsoft More ❯
Detection and LLM analysis implementation LLM fine tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further information More ❯
Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data structures , schemas More ❯
Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data structures , schemas More ❯
