19 of 19 Natural Language Processing Jobs in the South West

insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities Design, develop and deploy … pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop ...

Nice to Have: Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP) and Large Language Models (LLMs). Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask ...

assistants, copilots, and conversational AI systems Integrate AI solutions with enterprise applications and APIs Hands on experience in Natural Language Processing (NLP), Computer Vision & Voice AI Build and manage ML pipelines (training, validation, deployment, monitoring) Ensure model explainability, fairness, and governance compliance Implement AI guardrails including safety … Deep Learning frameworks (TensorFlow, PyTorch, etc.) Generative AI & LLM ecosystems (OpenAI, Hugging Face, LangChain, etc.) Agentic AI/Multi-agent system design Expertise in: NLP, Computer Vision, and Conversational AI Model deployment (MLOps, APIs, cloud platforms) Data processing and feature engineering Expertise in source safing tools like Github/ ...

role could involve working across a broad range of technologies and engineering disciplines, including: Artificial Intelligence and machine learning AI systems engineering and integration Natural Language Processing Computer vision and image processing Quantum technologies C++ and Python development Modern web technologies Cloud-native engineering Distributed systems ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build ...

Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work ...

record in sales and/or pre-sales and in delivering data transformation programs and developing teams PREFERRED QUALIFICATION Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering Experience with LLMs for enterprise-scale applications. Hands-on experience with cloud platforms (AWS, Azure, GCP) Well ...

Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability ...

architectures and solutions. Facilitate AI discovery and use case workshops. Develop advanced machine learning and predictive models. Lead implementation of generative AI solutions. Design natural language querying,OCRand conversational AI solutions. Oversee model deployment, monitoring, and governance. Mentor consultants and provide technical leadership. Support pre-sales activities … delivery. Advanced Python and PySpark skills. Strong Microsoft Fabric experience. Experience with machine learning frameworks and libraries. Experience delivering generative AI solutions. Knowledge of NLP, document intelligence, and multimodal AI. Understanding of MLOps principles and practices. Strong stakeholder engagement and workshop facilitation skills. Experience mentoring technical teams. Strong consulting ...

parametric uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies. Experience applying machine learning, statistical modelling, NLP and LLM-based techniques to analyse customer behaviour and conversational data, diagnose root causes and identify the drivers of outcomes. Experience designing measurement frameworks for complex ...

that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that … data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

technologies and helping shape an expanding research capability. Projects can move quickly and span areas including distributed systems, AI, observability, cloud-native technology, messaging, NLP and image processing. What we’re looking for: • A strong software engineering background, ideally with recent hands-on development experience • Strong Python skills and/ ...

experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors. Experience … training and developing AI models including Large Language Models. Ability to produce high-quality scientific (academic style) writing for internal & external publication. Problem solve with high levels of autonomy, with some input from technical leaders. Be a self-starter, being pro-active in finding solutions. Desirable Skills & Experience PhD. ...

solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language ...

like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code … Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps ...

customer, and have a say in how models are built, validated and deployed in secure environments. What you'll be working on ML and NLP models for intelligence data: pattern detection, data matching, anomaly spotting Automated triage and analysis of large, messy, multi-source datasets (sensor, geospatial, comms) Graph analytics …/ML strategy and best practice as you grow Must have: Experience of Python-based data science and ML, and some exposure to NLP or graph analytics. Comfortable with sensitive data. Able to explain complex analysis to non-specialists. #J-18808-Ljbffr ...