10 of 10 Remote Natural Language Processing Jobs in the South East

improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory … tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure to customer journey mapping. Knowledge of additional languages (French, Spanish, or German). What's on Offer Opportunities to work across multiple European locations. More ❯

Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯

solutions that extract insights from unstructured text. Projects may include topic modelling and entity recognition, text generation, ontology creation, and conversational AI. This role demands strong technical expertise in NLP and a passion for innovation and problem-solving. This is a hybrid role based in our Guildford office, with the expectation to be on-site one day per week. Salary … one part of our total reward package. About You In this role you will be: Implementing enterprise-level ML/GenAI strategies aligned with business objectives. Designing and developing NLP solutions using techniques such as text classification, NER, topic modeling, and text generation. Collaborating with data engineers and MLOps teams to ensure clean data pipelines and seamless model integration. Applying … BERT, LLaMA2) and knowledge graphs to enhance natural language understanding and reasoning. Conducting exploratory data analysis and developing robust pre-processing strategies for unstructured text. Evaluating NLP models, algorithms, and architectures to recommend optimal solutions. Communicating insights through reports, visualizations, and presentations for both technical and non-technical audiences. Mentoring junior team members and staying current with More ❯

record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for either computer vision or natural language processing. Proficiency with the Python programming language. Knowledge of Git and collaboration principles. Strong communication and presentation skills. LIFE AS A SATALIAN As an organisation, we push More ❯

functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimise AI applications, ensuring continuous performance improvement. Essential Skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with More ❯

functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimize AI applications, ensuring continuous performance improvement. Essential Skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with More ❯

algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We More ❯

seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and … Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

and Java). Develop new innovative solutions for enhancing scientific data workflows and support our mission to disseminate scientific information publicly Manage and enhance scientific software tools essential for processing and storing chemical and biological data across the teams services, ensuring adherence to software development best practices. Collaborate with the ChEMBL, SureChEMBL and ChEBI teams to identify and resolve … in Chemistry, Computer Science, Bioinformatics, Data Science, or a related field. Experience in cheminformatics or data engineering applied to life sciences Track record of delivered projects involving scientific data processing Proficiency in Python, with experience in cheminformatics libraries and topics (such as RDKit, Open Babel, InChI, SMILES/SMARTS) Experience working with relational (SQL) databases Familiarity working in a … containerization technologies (Docker) Basic understanding of Java, with a willingness to develop expertise and contribute to Java-based pipelines as needed Experience in using AI-based methods, such as NLP, LLM for efficient data processing Other helpful information: Hybrid Working - At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated desk will More ❯

software development tools (e.g. Git/GitHub, DevOps) Desirable Experience: Experience with biological or scientific datasets (e.g. genomics, proteomics) Bioinformatics expertise and familiarity with large-scale datasets Knowledge of NLP techniques and unstructured data processing Experience with orchestration tools (e.g. Airflow, Google Workflows) Exposure to AI/ML-powered applications Familiarity with containerization (e.g. Docker) and Nextflow pipelines If More ❯