1 to 25 of 53 Natural Language Processing Jobs in London

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. … Computer Science, Machine Learning, Mathematics, Statistics, or a related field Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing Hands-on experience training, fine-tuning, and deploying LLMs Experience working with vector databases, search indices, or data stores for retrieval use cases Significant ...

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. … Computer Science, Machine Learning, Mathematics, Statistics, or a related field Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing Hands-on experience training, fine-tuning, and deploying LLMs Experience working with vector databases, search indices, or data stores for retrieval use cases Significant ...

time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings … join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python ...

handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/… frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language ...

handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/… frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language ...

role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python ...

machine learning models into production environments Work with structured and unstructured data at scale Build and optimise models across areas such as predictive analytics, natural language processing, computer vision, or generative AI Collaborate with software engineers to integrate models into live applications Monitor, evaluate, and improve model … Desirable Experience Experience with Generative AI or large language models Exposure to tools such as Hugging Face, MLflow, Kubeflow, or similar Knowledge of NLP, computer vision, or recommendation systems Experience working in agile or product-led environments Whats on Offer Competitive salary and benefits package Hybrid or remote working ...

data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong knowledge of scrum practices and agile mindset. Skills & Core competences Strong Analytical and Problem-Solving Skills with attention ...

Kanban environments with cross-functional teams AI/ML curiosity or hands-on experience – Interest in or exposure to machine learning, generative AI, natural language processing, or intelligent automation technologies Financial services background – Experience with lending workflows, regulatory processes, financial products, credit ratings, and financial analysis ...

improve customer engagement metrics Skills ? Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) ? Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit ...

member of the Query Enrichment team, you will help make Bloomberg’s GenAI capabilities smarter, faster, and more intuitive. Our work connects data science, natural language processing, and human judgment — enriching queries to ensure users receive the most accurate and relevant responses possible. We partner closely with … proficiency in Python (Pandas, NumPy, and data visualization libraries). Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models. Basic understanding of HTML, CSS, and JavaScript for maintaining task-presenter tools. Prior involvement with distributed data labeling operations. Discover what makes Bloomberg unique ...

learning, experimentation, and growth thrive Extend capabilities through code – Leverage with scripting languages such as Python and R to enhance BPM solutions with data processing, analytics integration, API connections, and intelligent automation that creates differentiated value Commitment to continuous learning – Track record of staying current with emerging technologies … data transformation, automation, or analytical workflows AI/ML curiosity or hands-on experience – Interest in or exposure to machine learning, generative AI, natural language processing, or intelligent automation technologies Financial services background – Experience of lending workflows, regulatory processes, financial products, credit ratings and financial analysis. ...

decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience with AI and agentic tooling for development and research. Preferred qualifications: Master's degree or PhD. 5 years of experience with … engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

front end engineers in our expanding innovation development team, and to drive development of an innovative new product that makes use of machine learning, natural language processing, speech recognition and text to speech synthesis to create dynamic, adaptive interactive scenarios for English learning and assessment. Minimum requirements ...

successful in this role, you will be able to demonstrate: Practical and theoretical expertise in one or more AI/ML areas such as Natural Language Processing, Computer Vision, Reinforcement Learning, Agentic AI, Multimodal Models, Generative AI, Responsible AI, and Algorithmic Auditing. Knowledge of assessment techniques ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

span organisations consisting of different businesses Work in support of Analytics colleagues (such as Data Scientists), including awareness of areas such as Machine Learning, Natural Language Processing, etc. Conceptual and Logical design of the Data & Analytics Platform; together with experience of data repository consolidation and end user ...

client-facing documentation. Preferred Criteria Experience in consulting or client-facing roles Deep understanding of AI concepts including supervised/unsupervised learning, deep learning, NLP, computer vision, Agentic AI, data, automation and generative AI Familiarity with modern AI frameworks and tools (e.g. TensorFlow, PyTorch, scikit-learn, UiPath, Databricks, Snowflake etc. ...

data out of corporate tools in concise human readable form. Design insight generation techniques that summarize key highlights from large complex datasets and support natural language prompts for deep-dive analysis. Construct and maintain robust data pipelines capable of processing complex structured and unstructured quantitative … textual data, ensuring high quality inputs for our models. Work closely with data scientists and ML engineers to integrate and manage diverse ML and NLP models within production environments effectively. What We're Looking For 5+ years of software engineering experience, partially focused on LLM/AI solutions. Experience with ...

responsible AI standards. Communicate progress, risks, and results to stakeholders and executives effectively. Required Skills & Qualifications 9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed 2+ yrs of proven ...

Hybrid A leading organisation is expanding its AI capability and is looking for a Machine Learning Engineer to help build and scale next-generation NLP and Gen AI solutions. This role sits at the heart of an established data function, working on real production workloads rather than prototypes. ...

communication and stakeholder engagement; 3+ years leading teams. Nice to Have OpenAI API experience; LLM deployment; low/no-code AI orchestration; OCR/NLP; Azure Functions/Kubernetes/Terraform; automation tools (n8n, Make.com, Zapier); HR tech experience; medallion architecture; Azure certifications. Benefits Work from Anywhere Policy : Enjoy ...

deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading data science teams and managing project timelines Excellent communication and stakeholder engagement skills SC clearance/Clearable and British ...

Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude ...

knowledge graph and metadata integration strategy, linking research and health data for more context-aware retrieval. Apply cutting-edge research in information retrieval, NLP, embeddings, and generative AI to continuously evolve Elsevier’s discovery and evaluation stack. Requirements: Required Skills PhD or MSc in Computer Science, Data Science, Information Retrieval ...