3 of 3 Remote/Hybrid Natural Language Processing Jobs in the North West

Data Engineer

Hiring Organisation
MBDA
Location
Bolton, Greater Manchester, North West, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£55,000
Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies ...

Staff Machine Learning Engineer

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Manchester, Lancashire, England, United Kingdom
Employment Type
Full-Time
Salary
£85,000 - £100,000 per annum
Staff Machine Learning Engineer - Fully Remote LLM & NLP required We are hiring for a Staff MLE to join a large global organisation delivering advanced language and AI solutions to clients. The Role Lead and architect large-scale machine learning projects Build and deploy scalable ML models, pipelines, and systems … understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure, or GCP) NLP experience highly beneficial Strong leadership, communication, and stakeholder management ...

Staff Machine Learning Engineer

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Manchester, Lancashire, England, United Kingdom
Employment Type
Full-Time
Salary
£80,000 - £100,000 per annum
organisation is a forward-thinking technology business building data-driven products powered by advanced machine learning. They solve complex challenges across areas such as NLP, automation, and large-scale model deployment. With a distributed technical team across Europe, they emphasise collaboration, experimentation, and strong engineering standards. You'll join … engineers, championing best practices across coding, experimentation, and MLOps. Collaborate with Product and Engineering teams to define priorities and model strategy. Apply deep learning, NLP or classical ML techniques to real-world, high-impact problems. Uphold responsible AI principles across model development and evaluation. YOUR SKILLS & EXPERIENCE The successful Staff ...