NLP Engineer, AI R&D & ML Innovation

Madfish; United Kingdom; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A technology company in the UK is seeking an experienced NLP Engineer to join its AI team. You will leverage your 2–3 years of expertise in Natural Language Processing and Machine Learning, contributing to innovative projects in areas like sensor fusion and deepfake technology. Proficiency in Python, R, and Java, alongside certifications in Azure, AWS, and GCP, is essential. The role offers flexibility with options for freelance or full-time collaboration.

Qualifications

• 2–3 years of commercial experience in Natural Language Processing / Machine Learning.
• Expertise in Python, R, and Java; proficient in TensorFlow, PyTorch, and Keras.
• Experience with cloud platforms like AWS, Azure, and Google Cloud.
• Familiarity with big data technologies such as Hadoop and Spark.
• Modeling and DevOps experience for Machine Learning.

Responsibilities

• Contribute to the growth of the NLP team and take part in R&D activities.
• Work on cutting-edge projects in sensor fusion, deepfake technology, and image generation.
• Engage with current projects and explore new ideas within the R&D center.

Skills

Natural Language Processing

Machine Learning

Python

R

Java

TensorFlow

PyTorch

sci-kit-learn

Keras

AWS

Azure

Google Cloud

Hadoop

Spark

Education

Azure: AI Fundamentals AI-900

Azure AI Engineer AI-102

GCP: Cloud Digital Leader

GCP: Cloud Engineer

GCP: Machine Learning Engineer

AWS: Cloud Practitioner CLF-C02

AWS: Machine Learning MLS-C01

Job description

A technology company in the UK is seeking an experienced NLP Engineer to join its AI team. You will leverage your 2–3 years of expertise in Natural Language Processing and Machine Learning, contributing to innovative projects in areas like sensor fusion and deepfake technology. Proficiency in Python, R, and Java, alongside certifications in Azure, AWS, and GCP, is essential. The role offers flexibility with options for freelance or full-time collaboration.