onsite
AI Engineer London - Sharegain
AI Engineer
AI Engineer building advanced ML models to power a digital securities lending platform, leveraging Python, deep learning frameworks, NLP, and AWS for scalable, data‑driven solutions.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines that enhance securities lending analytics and risk assessment.
- Collaborate with data engineers to ingest, clean, and transform large financial datasets for model training.
- Implement state‑of‑the‑art deep learning and NLP models using TensorFlow or PyTorch to predict market trends and client behavior.
- Integrate models into the cloud‑native platform on AWS, ensuring scalability, reliability, and security.
- Monitor model performance, conduct A/B testing, and iterate to improve accuracy and business impact.
Requirements
- Strong programming skills in Python with experience in ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Proven track record of deploying ML solutions in production, preferably in finance or fintech.
- Solid understanding of NLP techniques and time‑series analysis.
- Experience with AWS services (SageMaker, Lambda, S3, EC2) and CI/CD pipelines.
- Excellent problem‑solving skills and ability to communicate complex ideas to cross‑functional teams.
Skills
pythonmachine learningdeep learningtensorflowpytorchnlpaws