Data Scientist

Infoplus Technologies UK Ltd
Uxbridge, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 143K

Job location

Uxbridge, United Kingdom

Tech stack

A/B testing
API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Computer Vision
Azure
Big Data
Cloud Computing
Cluster Analysis
Data Cleansing
Hadoop
Python
Machine Learning
Natural Language Processing
NoSQL
NumPy
Performance Tuning
Recommender Systems
TensorFlow
SQL Databases
Feature Engineering
PyTorch
Delivery Pipeline
Large Language Models
Spark
Deep Learning
Generative AI
Keras
Pandas
Scikit Learn
Kubernetes
Information Technology
HuggingFace
Performance Monitor
Data Management
Machine Learning Operations
Data Pipelines
Docker
Microservices

Job description

We are seeking a highly skilled 12+ years Data Scientist - AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model training workflows. Deploy models into production and monitor performance. Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions. Conduct model evaluation, A/B testing, and performance tuning. Document models, experiments, and technical processes.

Requirements

Classic Machine learning (Regression, predictive Analysis, Classification, Clustering) Machine learning Model Optimisation Strong proficiency in Python (NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience (AWS, Azure, or GCP). Experience building AI APIs and microservices. Education Bachelor's or master's degree in computer science, Data Science, AI, or a related field. (PhD preferred for advanced research roles)

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