5 of 5 Contract Natural Language Processing Jobs in London

science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

scoping through deployment through iteration Technical experience: Solid Python programming skills, production standard Hands-on experience with modern AI stacks: LLMs, NLP, computer vision or similar Familiarity with model deployment: APIs, cloud platforms (AWS, GCP, Azure), containerisation Experience integrating AI into real-world systems, not just building models in isolation ...

e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

current AI and data platform and define clear, actionable improvements Lead on delivery across two workstreams, aligning product, data and engineering Improving the natural language data exploration platform, focusing on trust and semantic consistency Designing and implementing scalable, multi-source data pipelines … architecture About you: Strong experience with Python and AWS Deep knowledge of data pipelines, AI/ML systems and modelling Experience with LLM- or NLP-powered platforms Strong focus on scalable, reliable system design Please apply now and reach out to Adam at Opus for more informationE ...

defined modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant Implement model evaluation frameworks using offline metrics, cross validation, online experiments … connectivity and Data Integrations Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring Understanding ...