25 of 25 NLTK Jobs in the UK

Fine-tuning PEFT/LoRA, Context embedding, Vector database technologies and Semantic Search techniques & tools. Proficiency in programming languages such as Python and experience with NLP libraries such as NLTK, spaCy, Transformers, Hugging Face, BERT and Gen AI frameworks like Llangchain. Llamaindex etc. Strong problem-solving skills and ability to handle complex NLP challenges. Excellent communication and collaboration skills, with More ❯

. Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and More ❯

such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to communicate complex technical findings clearly and effectively, both More ❯

such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated ability to communicate complex technical findings clearly and effectively, both More ❯

About this Role As a Software engineer, AI retrieval, you will be responsible for designing, implementing, and optimizing the AI retrieval systems that power our platform. You'll work closely with our data scientists, product managers, and other engineers to More ❯

all necessary information, access to the systems and requirements in advance. Skills: Must haves: • Experience in quantitative text analysis • Proficiency in Python programming and relevant NLP libraries (e.g., spaCy, NLTK, sbert) • Experience in developing and deploying Python code in MS Azure or Snowflake environment • English (spoken and written). Nice haves: • Experience in programming with LLM inference APIs • Background in More ❯

business processes. • Experience with cloud platforms (AWS, GCP, Azure). • Experience with Docker/Kubernetes for ML. • Experience with popular python ML frameworks: VLLM, Transformers, Pytorch, OpenAI, sklearn, spacy, nltk etc. • Understanding of MLOps practices, including CI/CD for ML. • English level B2 or higher. Preferred Qualifications (Optional): • Experience in healthcare or medical insurance projects. • Experience with Google Cloud More ❯

AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance More ❯

AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance More ❯

AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance More ❯

AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance More ❯

e.g. Pandas, NumPy, Scikit-learn and Matplotlib) for data manipulation, analysis, and visualisation Familiarity with advanced data science techniques, including machine learning (e.g., K-means), natural language processing (e.g., NLTK or spaCy), and data acquisition techniques (e.g., Selenium) is advantageous. Proficiency in producing detailed project documentation, including specifications, test plans, data quality checks, and validation procedures Experience of managing projects More ❯

via fine tuning or RLHF. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). Published research in areas of machine learning at major conferences and/or journals. If some of the above doesn't line up perfectly with your experience, we More ❯

AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder management skills Demonstrated More ❯

AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder management skills Demonstrated More ❯

Social network you want to login/join with: col-narrow-left Client: Northrop Grumman Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 859f551ea47a Job Views: 3 Posted: 02.06.2025 Expiry Date More ❯

with MS Office applications. ·Desirable skills include use of ML libraries (Scikit-learn,Keras, Tensorflow), web development frameworks such as Flask and Django, using Python to perform text manipulation (NLTK) and knowledge of data visualization libraries such as Matplotlib and Seaborne. ·Experience with other programming languages such as Java and JS are desirable. ·Knowledge of the Commodity and/or More ❯

related STEM field. Technical Skills: Good understanding of AI and ML principles, statistics, software development methodologies, and proficiency in Python. Familiarity with libraries such as Pandas, NumPy, scikit-learn, NLTK and similar frameworks is advantageous. Communication and Collaboration: Strong communication and collaboration abilities to work effectively with cross-functional teams in an AI/ML context. Eagerness to Learn: A More ❯

Get AI-powered advice on this job and more exclusive features. TEC Partners - Technical Recruitment Specialists provided pay range This range is provided by TEC Partners - Technical Recruitment Specialists. Your actual pay will be based on your skills and experience More ❯

Social network you want to login/join with: Big Data Engineer, london (city of london) col-narrow-left Client: TEC Partners - Technical Recruitment Specialists Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes More ❯

Company TEC Partners are working with a world leading defence and security company who work in collaboration with governments across the world to ensure international security across land, sea and air. They are leaders in highly sensitive international protection and More ❯

Social network you want to login/join with: TEC Partners - Technical Recruitment Specialists Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 8 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job More ❯

Company TEC Partners are working with a world leading defence and security company who work in collaboration with governments across the world to ensure international security across land, sea and air. They are leaders in highly sensitive international protection and More ❯

Company TEC Partners are working with a world leading defence and security company who work in collaboration with governments across the world to ensure international security across land, sea and air. They are leaders in highly sensitive international protection and More ❯

held in Glasgow, Scotland, UK. Analyze sentiments of people on this topic relative to the effectiveness of the summit. Resources used: Jupyter Notebook as an IDE, Twitter API v1.1, NLTK, Tweepy and TextBlob library and Python 3.8. Approach: My objective here is to create a PoC for “Sentiment Analysis about Climate Summit effectiveness – COP26 Summit Model” while adopting a “minimal … coding with maximum efficiency” approach. We take tweets from Twitter by querying text like “COP26”, storing in a file and data frame, calling NLTK/TextBlob package/method to score sentiments against each text, and finally display relevant output. The output should provide a reasonable indication (at minimum qualitatively) to pull off a full-blown ML model investment. Let More ❯