17 of 17 Natural Language Processing Jobs in Bristol

Python, SQL) Exploratory data analysis Data storytelling and visualization Ethics in data and AI Applied mathematics and statistics Data model measurement and testing Insight and decision making Machine learning Natural language processing Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini) Consulting Skills: Effective teamwork Business acumen Time management Stakeholder management Presentations More ❯

As a generative AI-focused Data Scientist specialising in Natural Language Processing (NLP), you will drive innovation by designing and enhancing cutting-edge AI algorithms tailored for our diverse internal customer. Your primary mission is to empower our teams with maintainable and robust NLP solutions, fostering a data-driven culture throughout the organization. Salary : Circa … leave and fertility testing and treatments Facilities : Fantastic site facilities including subsidised meals, free car parking and much more... The opportunity: Within MBDA's IM department, we seek a NLP Data Scientist who can architect and code algorithms that harness the power of our internal data. Your role is pivotal in understanding and catering to the unique needs of our … future of GenAI within MBDA with your insights and experiences in this newly formed international team. Key Responsibilities: Capture internal client needs and requirements across diverse business functions. Employ NLP techniques to extract and clean data, ensuring relevance and accuracy. Design and develop algorithms with a focus on NLP, applying the latest LLM and RAG technologies. Validate algorithm performance and More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

We are looking for individuals with strong knowledge of core computing topics, specifically expertise in: Machine learning Data management Artificial intelligence Data visualisation and analytics Data mining Cloud computing Natural language processing User experience and design Applicants should have a relevant postgraduate qualification, preferably at PhD level, and some experience working in a higher education environment. UWE More ❯

who have a strong knowledge of core computing topics. We are specifically seeking expertise in Machine learning Data management Artificial intelligence Data visualisation and analytics Data mining Cloud computing Natural language processing User experience and design You should have a relevant postgraduate qualification, preferably to PhD level and have some experience of working in a higher education More ❯

who have a strong knowledge of core computing topics. We are specifically seeking expertise in Machine learning Data management Artificial intelligence Data visualisation and analytics Data mining Cloud computing Natural language processing User experience and design You should have a relevant postgraduate qualification, preferably to PhD level and have some experience of working in a higher education More ❯

who have a strong knowledge of core computing topics. We are specifically seeking expertise in Machine learning Data management Artificial intelligence Data visualisation and analytics Data mining Cloud computing Natural language processing User experience and design You should have a relevant postgraduate qualification, preferably to PhD level and have some experience of working in a higher education More ❯

Experience of any of the following would be beneficial, though all we require is an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI More ❯

Experience of any of the following would be beneficial, though all we require is an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI … us what changes or help you might need further on in the recruitment process. For instance, you may need wheelchair access at interview, or if you’re deaf, a Language Service Professional. Feedback will only be provided if you attend an interview or assessment. Security Successful candidates must undergo a criminal record check. This job is broadly open to More ❯

tasks, directly influencing high-impact industry sectors. Enhancing foundation models to solve real sustainability challenges, including specialised foundation models for domain applications as well as enhancing capabilities of general language models. Design and test single- or multi-agent AI systems using cutting-edge benchmarks or develop solutions tailored to business-critical use cases. As part of the role, you … and publications in top-tier conferences. Required education Doctorate Degree Required technical and professional expertise Doctorate Degree in Computer Science (especially in Artificial Intelligence focusing on computer vision, LLMs, NLP, data. generation), Physics, Mathematics, or a closely related field. Demonstrated experience in benchmarking foundational models for real-world applications. Experience in machine learning and developing AI models in frameworks such More ❯

generated reference requirements. Identify challenging customer and project requirements. Define the scope of engineering data, starting with systems artefact's (requirements, test results, supporting documentation). Develop and review NLP Generative AI engineering data models tailored to specific Systems Engineering use cases. Ensure compliance with customer Information Management (IM) and Information Security (InfoSec) policies. Formalise, establish governance, and deploy PoC … platforms (e.g., Rancher, Kubernetes, Docker). Experience with data manipulation and visualization tools (e.g., Power BI, Google Analytics' Looker Studio). Ability to code APIs to interact with Large Language Models using Python, or other languages. Experience Strong engineering background, ideally with systems engineering experience; defense engineering experience is desirable. Must hold or be eligible for UK SC clearance More ❯

generated reference requirements. Identify challenging customer and project requirements. Define the scope of engineering data, starting with systems artefact's (requirements, test results, supporting documentation). Develop and review NLP Generative AI engineering data models tailored to specific Systems Engineering use cases. Ensure compliance with customer Information Management (IM) and Information Security (InfoSec) policies. Formalise, establish governance, and deploy PoC … platforms (e.g., Rancher, Kubernetes, Docker). Experience with data manipulation and visualization tools (e.g., Power BI, Google Analytics' Looker Studio). Ability to code APIs to interact with Large Language Models using Python, or other languages. Experience Strong engineering background, ideally with systems engineering experience; defense engineering experience is desirable. Must hold or be eligible for UK SC clearance More ❯

generated reference requirements. Identify challenging customer and project requirements. Define the scope of engineering data, starting with systems artefact's (requirements, test results, supporting documentation). Develop and review NLP Generative AI engineering data models tailored to specific Systems Engineering use cases. Ensure compliance with customer Information Management (IM) and Information Security (InfoSec) policies. Formalise, establish governance, and deploy PoC … platforms (e.g., Rancher, Kubernetes, Docker). Experience with data manipulation and visualization tools (e.g., Power BI, Google Analytics' Looker Studio). Ability to code APIs to interact with Large Language Models using Python, or other languages. Experience Strong engineering background, ideally with systems engineering experience; defense engineering experience is desirable. Must hold or be eligible for UK SC clearance More ❯

with systems artefacts (Requirements, Test Results other supporting documentation as appropriate) Scope engineering data model approach and capture mechanism in more detail Undertake incremental definition, development and review of NLP Generative AI engineering data model as proof of concept, initially tailored to specific Systems Engineering use cases. Ensure underlying data model compliance with customer IM and InfoSec policies. Formalise, establish … Use Cases follow internal/external tool assessment. Deployment plan and pilot project deployment strategy for implementation of a Generative AI solution using natural language processing (NLP). Incremental delivery of engineering data model - output at end of offload initial 6 month contract should cover systems engineering use cases as identified above. Report to summarise delivery of … and visualisation techniques such as Power BI or Google Analytics' Looker Studio. AI tool development skills are not necessary but some ability to code APIs to interact with Large Language Models using Python/R or other languages is required. A strong engineering background, ideally with experience in systems engineering. Defence engineering experience is desirable. Ability to work autonomously More ❯

working with stakeholders. Ability to make important strategic calls from a position of curiosity and coalition building. Ability to be able to translate highly technical concepts into an accessible language for different audiences are a credible leader for highly technical teams - knowledgeable about what high-tech experimentation and delivery looks like and able to create an environment which enables … in the public, private or third sector, working with multiple stakeholder groups, often representing, or holding multiple viewpoints have in-depth knowledge of AI technologies (machine learning, deep learning, natural language processing, computer vision, etc.), their practical applications and what they can offer public services have experience in developing and implementing AI governance frameworks and policies that More ❯