3 of 3 Natural Language Processing Jobs in Lancashire

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 ...

Lead Knowledge Graph Engineer / Ontology Engineer - Contract

Hiring Organisation
Involved Solutions
Location
Manchester, Lancashire, England, United Kingdom
Employment Type
Contractor
Contract Rate
£550 - £600 per day
standards and tooling-RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious. Apply modern NLP/NLU techniques, from topic modelling to cutting edge entity and relation extraction, plus concise text summarisation. Experience Requirements: Core semantic/graph tech …/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . ...