19 of 19 Natural Language Processing Jobs in the East of England

and deploying machine learning solutions in production environments. • Strong track record of successfully translating academic research into real-world applications and products. • Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery • Deep experience in Python and … and lead on technical standards maintenance. Desirable: • PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. • Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. • Experience in applying machine learning to educational assessment and learning solutions • Experience in leading … Press Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Machine Learning , Natural Language Processing , NLP , United Kingdom More ❯

AWS, Azure, or Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance Al solutions. Leadership and … risks, and opportunities. 4. Research and Development: Emerging Technologies: Stay updated on the latest developments in Al technologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision, and evaluate their potential impact on business processes. Proof of Concept (POC): Lead the development of PoCs and pilot projects to test Al ideas and validate their More ❯

production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices. Manage version control using Git and collaborate with team members on More ❯

learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and 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 ❯

management and quality assurance. Stay up to date with evolving technology, contribute to the technology roadmap, and deliver cutting-edge solutions. The successful candidate will ideally have: Knowledge in NLP (Natural Language Processing). Knowledge in OCR (Object Character Recognition). Knowledge in Generative AI. Experience in containerisation technologies (e.g. Docker). Knowledge in the industrial and …/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative benefits package, which includes but is More ❯

Scientist, you will be responsible for delivering client-ready healthcare-focused AI and data science projects. This role involves leading the technical delivery of specialist AI projects, including large language models, natural language processing, knowledge graphs, semantic data modelling and advanced analytics. You will support project scoping, technical planning and the development of innovative data solutions. More ❯

be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement More ❯

with GDPR and healthcare regulations Nice to have: PhD in a relevant field Experience with electronic health records (EHR) systems Knowledge of FHIR standards and healthcare interoperability Background in natural language processing for medical text analysis Experience with real-time data processing and analytics Publications or patents in healthcare data science Perks Competitive salary Potential equity More ❯

relevant engineering domains. 1+ year of successful project management experience in leading and managing engineering teams in a technology-driven company. Strong understanding of AI technologies, including machine learning, natural language processing, or computer vision; or mathematical optimization. Experience with LLMs and Generative AI techniques such as fine tuning, pruning, RAG systems, transfer learning etc. Excellent command … applicable). Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Flexible remuneration: hospitality and public transportation. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture More ❯

their products on Amazon through native product advertising. The SP Supply team focuses on delivering relevant product ads on Amazon search pages world-wide through ad experiences powered by NLP, computer vision, generative AI and shopper understanding models. The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a … shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key … development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer More ❯

the company remains at the forefront of Generative AI. What we're looking for: Expertise in SQL and noSQL technologies (e.g., MS SQL, Oracle, MongoDB). Experience with data processing and exchange (ETL, ESB, API). Strong development skills, particularly with Python. Big data experience/knowledge (hadoop etc) Advantageous to have knowledge of Generative AI, Natural Language Processing, Object Character Recognition, and containerisation (Docker). This is a hybrid role, with a need for 2-3 days on-site. Candidates must be British Citizens to meet security clearance requirements. Why this role stands out: Meaningful Work: Contribute to mission-critical projects that protect the nation. Career Growth: Join a developing structure with significant opportunities to More ❯

languages such as Python, Bash or similar - Knowledge of Big Data tech such as Hadoop or simlar - Knowledge in the following areas are highly desirable but not essential - AI, Natural Language Processing, OCR - Experience with containerisation via Docker is highly advantageous - Please not roles are subject to UK security clearance checks as such candidates must be eligible More ❯

and cross-functional teams. Champion ethical AI principles, ensuring fairness, transparency, and robustness in deployed models. What we need you to have: A deep technical grounding in machine learning, NLP, computer vision, or autonomous systems,ideally with hands on experience in deep learning frameworks. Proven track record of leading AI initiatives from R&D to production, including delivery of generative 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 ❯

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 ❯

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 ❯

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 ❯

work in the UK. Company: Cambridge University Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Machine Learning , NLP , Supervised Learning , United Kingdom , Unsupervised Learning More ❯