126 to 150 of 1,542 Natural Language Processing Jobs in the UK

team has grown to 75+ data scientists and engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization, generative AI, network/graph modeling, ETL, data pipelines, data architecture, ML engineering, communication, product management and strategy. We work with data from … deliverables Participate in team agile processes, and proactively contribute to team culture The minimum requirements for this position are: 4+ year experience shipping code to production environments Strong programming language skills in Python and SQL Experience building cloud native applications Great problem-solving and communication skills Knowledge and experience we are looking for includes: DevOps automation, idempotent deployment testing More ❯

edge analytical solutions worldwide. We help businesses implement innovative AI and ML solutions to solve complex challenges. On an average day, you might help a customer implement a large language model or deploy an end-to-end ML pipeline to automate AI offerings for major organizations. What skills do we want you to have? We work with a lot … options like Azure Functions, FastAPI, Kubernetes CI/CD pipelines, Git actions Infrastructure as code: Terraform, ARM Templates, Databricks Asset Bundles Advanced ML techniques: Graph processing, Computer Vision, NLP, Simulation Generative AI and LLMs: Promptflow, LangChain, Semantic Kernel, Azure Open AI Understanding of LLMOps Agile methodologies, preferably Scrum We know this is a big list, and we're not 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 ❯

team has grown to 30+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work with data from a wide variety of More ❯

for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to leadership, other … user research methodologies Fluent in English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms (AWS, Azure, or GCP) and … their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases and network analysis for relationship mapping Experience with international product development and multicultural teams What More ❯

for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to leadership, other … user research methodologies Fluent in English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms (AWS, Azure, or GCP) and … their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases and network analysis for relationship mapping Experience with international product development and multicultural teams What More ❯

for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to leadership, other … user research methodologies Fluent in English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms (AWS, Azure, or GCP) and … their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases and network analysis for relationship mapping Experience with international product development and multicultural teams What More ❯

for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to leadership, other … user research methodologies Fluent in English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms (AWS, Azure, or GCP) and … their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases and network analysis for relationship mapping Experience with international product development and multicultural teams What More ❯

for data products and track their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy, and progress to leadership, other … user research methodologies Fluent in English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms (AWS, Azure, or GCP) and … their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases and network analysis for relationship mapping Experience with international product development and multicultural teams What More ❯

/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable insights. This role requires strong expertise in Python-based AI/ML development, big data processing, and cloud-based AI platforms (Databricks, Azure ML, AWS SageMaker, GCP Vertex AI). Key Responsibilities Data Exploration & Feature Engineering Perform thorough Exploratory Data Analysis (EDA) and identify key … optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical ML methods (regression, clustering, time-series forecasting) and advanced algorithms (XGBoost, LightGBM). Address computer vision, NLP, and generative tasks using PyTorch, TensorFlow, or Transformer-based models. Model Deployment & MLOps Integrate CI/CD pipelines for ML models using platforms like MLflow, Kubeflow, or SageMaker Pipelines. Monitor More ❯

junior team members, fostering a learning culture within the team. Qualifications Experience managing data pipelines and leading a data science team. Proficiency in Python and experience with LLMs and NLP frameworks (e.g., Hugging Face, Spacy, Pytorch/Tensorflow). Knowledge of Prompt Engineering, RAG techniques, and evaluation methodologies for integrating GenAI with search/retrieval systems. Experience with LangChain/… and fine-tuning models on domain-specific data. Experience with cloud platforms like Azure, AWS, or GCP for machine learning workflows. Understanding of data engineering pipelines and distributed data processing (e.g., Databricks, Apache Spark). Strong analytical skills, with the ability to transform raw data into meaningful insights through AI techniques. Ability to work both independently and collaboratively in More ❯

Artificial Intelligence. As a Senior AI Software Engineer, you will work at the intersection of software engineering and AI, focusing on building the systems for deploying, scaling and monitoring NLP and Gen AI applications in production as well as optimizing and improving the core document AI strategies. You will have the opportunity to be immersed within our iManage product suite … of our customers, come and join the Applied AI team. iM Responsible For Delivering robust, fully tested, maintainable software that impacts end users Designing and implementing production-ready scalable NLP applications and APIs Developing monitoring and observability solutions and integration testing frameworks Conducting code reviews and providing constructive feedback to team members Ensuring the scalability, performance, and reliability of AI … degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics or related field 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP Experience with AI/ML infrastructure, distributed training and a track record of building and deploying ML systems at scale Solid understanding of AI system design principles and experience with More ❯

in applying data science to one or more of the following: cyber defence, ISR (Intelligence, Surveillance & Reconnaissance), geospatial intelligence (GEOINT), threat modelling, logistics optimisation, or predictive maintenance. Knowledge of NLP, computer vision, or reinforcement learning in defence applications. Experience with edge analytics, secure computing environments, or Federated Learning. Relevant certifications (e.g., Microsoft Certified: Azure Data Scientist, AWS Certified Machine Learning More ❯

fields. Proficiency in programming : Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning : Familiarity with predictive modeling techniques and algorithms, in particular NLP , LLM's and Time Series Forecasting. Experience with data visualization tools : Knowledge of tools like Tableau/Power BI , or similar to present data effectively. Strong analytical skills : Ability to More ❯

and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications More ❯

Intelligence, Data Science, or a related field (or equivalent industry experience). 7+ years of experience in AI/ML solution development, architecture, and enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience with multilingual AI models for More ❯

and Generative AI can drive meaningful business outcomes. Innovate & Build : Design, develop, and implement a portfolio of scalable AI solutions tailored to client needs, leveraging the latest advancements in NLP, Agentic AI and Generative AI. Collaborate & Deliver : Work closely with multidisciplinary teams, including Data Scientists, Software Engineers, and Business Strategists, to deliver impactful AI solutions. Educate & Inspire : Lead workshops and More ❯

that clients can easily understand and act on. Nice-to-Have: A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling. Experience with RNNs, NLP, Computer Vision, GenAI, CausalAI, GraphAI, and advanced techniques. Familiarity with versioning models (MLFlow), API design (FastAPI), and building custom dashboards (Dash). Why You’ll Love It Here: Variety and More ❯

foundations of Machine Learning algorithms Proficient in Python Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.) Good knowledge in mining large & complex data sets using SQL and Spark. Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged with More ❯

Collaborate with clients to understand their business needs and translate them into technical requirements Design, develop, and deploy machine learning and generative AI models, including but not limited to NLP models, computer vision models, and reinforcement learning systems Conduct research and stay updated on the latest advancements in AI and machine learning technologies, particularly in generative models such as GANs More ❯

Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day More ❯

how you work with others. Key Responsibilities Collaborate with cross-functional teams to scope, design, and implement AI solutions, Develop and validate models for structured and unstructured data (e.g. NLP, computer vision, time series), Translate complex business requirements into scalable, production-ready pipelines, Where applicable, contribute to model monitoring, CI/CD integration, and post-deployment support, Engage directly with More ❯

Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand form on a day-to-day More ❯

how you work with others. Key Responsibilities Collaborate with cross-functional teams to scope, design, and implement AI solutions, Develop and validate models for structured and unstructured data (e.g. NLP, computer vision, time series), Translate complex business requirements into scalable, production-ready pipelines, Where applicable, contribute to model monitoring, CI/CD integration, and post-deployment support, Engage directly with More ❯

for Pangaea's core AI platform, PALLUX. This role requires a strong foundation in software engineering, and expertise in Machine Learning (ML), including Natural Language Processing (NLP). This role is an excellent opportunity for an individual who is passionate about innovation and eager to be part of a fast-paced environment that encourages continuous learning and … challenges that Pangaea Data can address through its PALLUX platform and solutions Maintain and implement the product roadmap according to respective requirements Design and adopt cutting-edge ML and NLP algorithms to address real-world challenges such as intelligence extraction and inference Productize, develop, optimize and deploy ML and NLP algorithms, supportive modules (such as architects, data processors, APIs) and … Mining and/or Bioinformatics Experience with database systems such as SQL, MongoDB Experience on general programming languages: Python, C++, Java, etc. Experience with deep learning, machine learning and NLP frameworks such as PyTorch (or TensorFlow), HuggingFace Transformer, Scikit-learn Experience with working in Linux A strong intuition for what makes products a joy to use Empathy for how different More ❯