276 to 300 of 383 Natural Language Processing Jobs in the UK

Key Responsibilities: 10+yrs of experience in design, develop, and deploy AI/ML models and solutions using Python or any other competitive scripting languages Build and fine-tune large language models (LLMs) and Generative AI systems. Integrate AI solutions with OpenAI services through Microsoft Azure. Expert or advanced-level expertise in at least one leading LLM that is competitive … Proficiency in Python and machine learning framework s (e.g., TensorFlow, PyTorch, Scikit-Learn). Hands-on experience with OpenAI APIs and Microsoft Azure AI services. Strong understanding of large language models, prompt engineering, and fine-tuning techniques. Experience with data manipulation libraries (e.g., Pandas, NumPy) and cloud platforms. Familiarity with MLOps … version control (e.g., Git), and deployment tools (e.g., Docker, Kubernetes). Excellent problem-solving skills and the ability to work on complex AI challenges. Nice to Have: Experience with NLP frameworks, transformer architectures, and Hugging Face libraries. Knowledge of AI ethics, data privacy, and model interpretability. Previous experience working on AI-based translation, automation, or localization projects. Roadmap for Success More ❯

high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of … services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure More ❯

high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of … services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure More ❯

learning algorithm that determines the most effective actions for each customer, enhancing results and minimising unwanted interactions OphelosGPT - our generative AI model for empathetic, context-aware customer communication Advanced NLP & LLM-driven classifiers to identify vulnerable customers, disputes, and intent, enabling proactive support and accurate resolutions Forecasting and risk models to improve decision-making and operational efficiency As part of … which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by … employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority. Create a Job More ❯

engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Practice Development: Support the expansion of the GenAI practice by defining delivery playbooks, reusable assets, talent strategies, and mentoring early-stage architects and … Agentic AI opportunities. Qualifications and experience we consider to be essential for the role: Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering More ❯

AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

/Data Science Preferred: Experience with Big Data/Data Science technology Level of experience (years): Entry Level (Less than 2 years of Experience) How to apply: Please mention NLP People as a source when applying Tagged as: Big Data , Data Mining , Data Warehouse , Industry , United Kingdom More ❯

Contribute to quantitative data analyses in STATA Company: King's College London Qualifications: N/A Specific requirements: Fixed term contract for 12 months. How to apply: Please mention NLP People as a source when applying Tagged as: Academia , Big Data , Data Analysis , Data Mining , United Kingdom More ❯

in ambiguous problem spaces, and mentor junior team members Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders Bonus Points Experience with NLP, image classifiers, deep learning, or large language models Experience with experiment design and conducting A/B tests Experience building shared or platform-style ML systems Experience with Databricks More ❯

in ambiguous problem spaces, and mentor junior team members Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders Bonus Points Experience with NLP, image classifiers, deep learning, or large language models Experience with experiment design and conducting A/B tests Experience building shared or platform-style ML systems Experience with Databricks More ❯

As a Machine Learning Engineer at Trainline you will... Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection … of rigorous learning and experimentation We'd love to hear from you if you... Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc. More ❯

As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection … of rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc. More ❯

are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is More ❯

in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of … statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of … statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling Develop pipelines for transcription ingestion and real-time analytical insight generation Support graph and RAG-based inference layers using data from structured and unstructured sources Build and expose APIs for frontend consumption, enabling natural-language querying, dynam click apply More ❯

a senior researcher to join our expanding Data and Decision Support Capability. The ideal candidate will have a strong background in Machine Learning (ML) and/or statistical signal processing, with excellent Python programming skills and experience with relevant libraries and toolboxes. This role is within our Advanced Information Processing (AIP) group, focusing on developing inference algorithms and … Support Capability encompasses teams working on AI/ML applications such as RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, image analysis, generative AI, LLMs, NLP, and graph ML. You will collaborate with multidisciplinary teams and engage in both technical challenges and customer-facing tasks. Candidates should have a PhD or equivalent industry experience in a … relevant discipline, with several years of applying AI/ML or statistical signal processing to sensor time-series data and decision-making. Experience in domains like RF communications, electromagnetic warfare, radar, acoustic processing, sensor fusion, autonomy, human-machine teaming, or space-domain awareness is highly desirable. Leadership experience in research project delivery is a plus. Typical Responsibilities: Lead More ❯

track record of high performance and exceeding quotas Experience building and maintaining senior-level relationships with executives Experience selling complex enterprise level solutions, technical products, private deployments (AI/NLP solutions preferred) Experience working with channel partners to drive sales cycles and hit shared revenue goals High tolerance for ambiguity - as an early sales team member, you'll have to More ❯

in ambiguous problem spaces, and mentor junior team members. Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders. Bonus Points Experience with NLP, image classifiers, deep learning, or large language models. Experience with experiment design and conducting A/B tests. Experience building shared or platform-style ML systems. Experience with Databricks More ❯

people award winner, an advocate of supporting women in engineering and developing their people to be the best they can be? We have an exciting opportunity for an experienced NLP Data Scientist who can architect and code algorithms that harness the power of internal data to join an ambitious Information Management Department within a highly regarded, scientific engineering/manufacturing … Easy Access to train station, Coffee Shops & Onsite Shop, Sports & Social Club and More Skills Required: Proficiency in Data Science techniques, including statistical models and ML algorithms. Expertise in NLP, with a keen understanding of LLM and RAG technologies. Strong development capabilities, particularly in Python. Experience with data exchange, processing, and storage frameworks (ETL, ESB, API, SQL, NoSQL, and More ❯

tools and platforms, to support analysis or visualization Experience with PAI Experience in Python or Java, and using tools such as Spark or Databricks, to support large-scale data processing, analysis, and visualization Experience with machine learning, automation, and artifi cia l intelligence techniques applied to data analysis Experience working with the national intelligence community and DoD Joint structure … standards Experience designing or customizing tools to optimize data mining, cleaning, and analysis workflows Experience supporting intelligence analysis related to African political, security, or socio-economic issues Knowledge of NLP and machine learning methods applied to intelligence use cases Possession of excellent communication skills Possession of excellent organizational and time management skills Possession of excellent client-facing and stakeholder e … standards Experience designing or customizing tools to optimize data mining, cleaning, and analysis workflows Experience supporting intelligence analysis related to African political, security, or socio-economic issues Knowledge of NLP and machine learning methods applied to intelligence use cases Possession of excellent communication skills Possession of excellent organizational and time management skills Possession of excellent client-facing and stakeholder e More ❯

You’ll Be Doing Building and deploying LLM and speech-to-text applications for client use cases Contributing to solution design, from modelling approaches through to evaluation and delivery Processing and structuring large-scale text and audio data Working cross-functionally with engineering and delivery teams to productionise models Communicating findings to technical and non-technical stakeholders … Supporting junior team members and contributing to a high-performing, collaborative environment What They’re Looking For Strong background in Python and applied machine learning Experience with LLMs and NLP , particularly around speech-to-text or customer feedback analysis Ability to contribute to client discussions, understand business needs, and translate them into ML solutions Familiarity with modern ML frameworks (e.g. More ❯

the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings … evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute More ❯

CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate the core skills for the role, although … in building, deploying, and maintaining ML models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software More ❯