9 of 9 Contract Natural Language Processing Jobs

into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with a US company, you will gain access to the US Market Provides career More ❯

AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

data-driven strategies. Explore large datasets to uncover patterns, trends, and actionable insights. Develop prototypes and production-grade models for use cases such as predictive analytics, recommendation systems, and NLP applications. Mentor and guide junior data scientists and analysts. Stay up to date with the latest research, tools, and techniques in data science and machine learning. What We're Looking More ❯

who is passionate about designing and implementing AI systems that make a difference. What You'll Work On Design and implement AI solutions across a range of applications (e.g., NLP, computer vision, reinforcement learning). Develop and optimize algorithms that power our products. Build and maintain the infrastructure needed to train, evaluate, and deploy AI models at scale. Collaborate closely More ❯

as follows: Advanced Programming Data Structures and Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data Analysis and Visualisation InfoSec Key Responsibilities Delivering lectures, seminars, and workshops aligned to module specifications Updating and maintaining engaging digital learning content via More ❯

as follows: Advanced Programming Data Structures and Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data Analysis and Visualisation InfoSec Key Responsibilities Delivering lectures, seminars, and workshops aligned to module specifications Updating and maintaining engaging digital learning content via More ❯

, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand requirements and deliver tailored solutions. Collaborate with product managers and technical teams throughout the development lifecycle. Design, test, and iterate … Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of secure coding … a strong possibility of extension. Inside IR35 . Apply Now: If you're a Machine Learning Engineer with a passion for applied AI in real-world environments, especially document processing, wed love to speak with you. Submit your CV or reach out for more details. More ❯

the product, but also the full lifecycle including the deployment, testing and production support of the application. Key Experience: MUST HAVE Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes. Minimum 2-3 years practical (not theoretical) experience in Machine Learning Experience delivering … to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs. More ❯