Social network you want to login/join with:
Lead Data Scientist (Python, ML, NLP, GCP), Greater London
Client: Salt
Location: Greater London, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Reference:
Job Views: 4
Posted: 23.05.2025
Expiry Date: 07.07.2025
Job Description:
We are seeking a highly skilled Lead Data Scientist with expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Deep Learning, Computer Vision, and Google Cloud Platform (GCP) tools. The role involves building and deploying ML models, developing NLP engines, implementing computer vision solutions, and managing MLOps capabilities. The ideal candidate will have experience in digital marketing within sectors such as Consumer Packaged Goods (CPG), Automotive, Pharmaceutical, and Financial Services. Responsibilities include setting up AI/ML operating models, ensuring scalability, and maintaining reliability across projects.
Key Responsibilities:
* Lead the data science team in applying AI/ML solutions for digital marketing in targeted industries.
* Establish and oversee the AI/ML operating model, including best practices and frameworks.
* Define guardrails for compliance, ethics, and alignment with business goals.
* Develop and deploy machine learning models using Python and relevant libraries.
* Design and implement NLP engines, including preprocessing, feature engineering, and modeling.
* Build advanced NLP solutions using deep learning frameworks for NLU and NLG.
* Apply deep learning techniques, including LLMs, to solve complex problems.
* Implement Computer Vision techniques to analyze visual data.
* MLOps & Deployment: Lead MLOps pipeline design, utilize Docker, build CI/CD pipelines, and leverage GCP Data Science tools like Vertex AI for scalable deployment. Ensure performance, security, and reliability. Collaborate with cross-functional teams and communicate technical concepts effectively.
Qualifications and Skills:
* Educational Background: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related fields.
* Technical Proficiency: Expertise in Python, ML libraries, NLP, deep learning, Docker, CI/CD, and Computer Vision.
* GCP & MLOps Experience: Hands-on with GCP Data Science tools, Vertex AI, and MLOps principles.
#J-18808-Ljbffr