12 of 12 Permanent Natural Language Processing Jobs in the East of England

technologies skills (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing skills (e.g. ETL, ESB, API) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

data exchange and processing methods (e.g. ETL, ESB, API). Proficiency in development languages such as Python. Knowledge of big data technologies (e.g. Hadoop stack). Understanding of NLP (Natural Language Processing) and OCR (Object Character Recognition). Knowledge of Generative AI would be advantageous. Experience in containerisation technologies (e.g. Docker) would be advantageous. Knowledge or More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

and forward-thinking developers. If you are passionate about software engineering and user experience, and want to make an impact, we'd love to hear from you Description The natural language tools and services team provides tooling to support model training, data management, internationalization and annotation for natural language processing and response. As part of More ❯

for innovative processor development. Mastery in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like Natural Language Processing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new heights of efficiency and effectiveness. More ❯

team and are looking for a Lead AI Technologist to help lead the team, researching and developing novel AI/ML technologies. You’ll lead projects spanning reinforcement learning, NLP, computer vision, and signal processing, while mentoring teams and shaping partnerships with academic and industry leaders. Responsibilities: Lead delivery of large-scale AI/ML projects and ensure high … assurance and technical review Proposal writing experience Strong communication and mentoring skills Beneficial: Expertise in one or more of: AI/ML for imagery and remote sensing Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph neural networks AI for RF, EW, radar, sonar, or acoustics Autonomy applications If you are interested More ❯

Experience with Azure based AI technologies such as Azure AI Foundry Experience working with LLMs and Agentic AI on real-world problems. Strong understanding of machine learning algorithms and natural language processing techniques. Strong inter-personal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions. Experience with deploying AI models More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

structures for describing regulation to create a regulatory commons. Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Backed by £15 million in funding, we have established a solid product-market fit and are experiencing significant commercial traction with global More ❯

and regulatory constraints. Company: ARM Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Neural Networks , NLP , United Kingdom More ❯

re hiring a Data Engineer with a passion for automation, clean pipelines, and the future of AI. This is your chance to shape how data powers Generative AI and NLP tools in a secure, high-tech organisation working on projects that matter. If you're keen to work on innovative internal use-cases - from AI assistants to intelligent search and … this is the perfect next step. ?? What You'll Be Doing Building and maintaining data pipelines across structured & unstructured sources Collaborating with internal teams to support Generative AI and NLP projects Ensuring data is secure, compliant, high-quality, and easy to access Bringing your ideas to the table as we explore new tools and technologies Supporting internal customers across multiple … MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like LLMs, OCR engines, or knowledge graphs More ❯

at every stage. You’ll work within MBDA’s IM GenAI Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation … Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills & Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases … Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience with containerisation (e.g. Docker) is desirable. • Background in industrial and/or defence sectors (advantageous). What More ❯