76 to 100 of 139 Natural Language Processing Jobs in London

in production with a focus on scalability, latency, and compliance .Collaborate with product and finance experts to translate real-world workflows into AI agents. Key Requirements: Strong experience in NLP/LLM training and fine-tuning (transformers, embeddings, LoRA/PEFT).Proficiency with PyTorch/TensorFlow, Hugging Face ecosystem, and MLOps tooling. Experience working with financial or structured transactional data. More ❯

have product management experience, with a proven track record of launching and managing Martech products . You possess deep, hands-on expertise with AI technologies (e.g., ML, predictive analytics, NLP) and a strong understanding of how they apply to marketing use cases. You have strong product management fundamentals —you're an expert in roadmap development, prioritization frameworks, and end-to More ❯

have product management experience, with a proven track record of launching and managing Martech products . You possess deep, hands-on expertise with AI technologies (e.g., ML, predictive analytics, NLP) and a strong understanding of how they apply to marketing use cases. You have strong product management fundamentals —you're an expert in roadmap development, prioritization frameworks, and end-to More ❯

have product management experience, with a proven track record of launching and managing Martech products . You possess deep, hands-on expertise with AI technologies (e.g., ML, predictive analytics, NLP) and a strong understanding of how they apply to marketing use cases. You have strong product management fundamentals —you're an expert in roadmap development, prioritization frameworks, and end-to More ❯

have product management experience, with a proven track record of launching and managing Martech products . You possess deep, hands-on expertise with AI technologies (e.g., ML, predictive analytics, NLP) and a strong understanding of how they apply to marketing use cases. You have strong product management fundamentals —you're an expert in roadmap development, prioritization frameworks, and end-to More ❯

or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that More ❯

The Team: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in … their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights … Python to write robust, reusable code; experience with version control (preferably github); experience with writing test cases for data science pipelines Experience working with databases and SQL Experience using Language Models to solve a range of predictive task involving text Ability to quickly acquire new technical skills Experience of working with large and complex data sets and distributed computing More ❯

our mission and shape the future! Why this role? As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization. The team combines expertise in software engineering, machine … enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing. Please Note: We have offices in London, Toronto, San Francisco, New York but More ❯

/Remote: Flexible but with regular London meetings ?? Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on NLP pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and modern AI tools. What We're Looking For: ? 1+ years' experience in More ❯

/Remote: Flexible but with regular London meetings? Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on NLP pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and modern AI tools. What We're Looking For: 1+ years' experience in More ❯

multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results. Key job responsibilities As a Senior Applied Scientist, you will be responsible to design and deploy … scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution … or 5+ years of experience of applied research experience with a Masters' degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, Computer Vision, deep or related fields. - 2. Should be an expert in either Computer Vision or NLP and have a good understanding of the both. - 3. Strong working knowledge of More ❯

with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative AI frameworks where applicable. Develop data pipelines and integrate models into production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure … scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark, Hadoop More ❯

with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative AI frameworks where applicable. Develop data pipelines and integrate models into production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure … scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark, Hadoop More ❯

will be the opportunity to build and mentor your own team as the function grows. You will work closely with business units to implement technologies such as machine learning, NLP, computer vision, OCR/IDP, and algorithmic automation, increasing efficiency, accuracy, and agility across the business. The ideal candidate will have strong analytics and automation experience, preferably in insurance, with More ❯

training for performance and cost efficiency. Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization. Embed domain-specific ontologies, taxonomies, and style guides into NLP workflows to adapt models to unique business contexts. Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes. Define and own … Claude, Gemini, Llama, Falcon, Mistral). Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (Docker, Kubernetes) and workflow management tools (Azure ML Studio … MLFlow). Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Processing and knowledge extraction tools. Databases: Experience with relational (SQL), NoSQL databases. Data Platforms: Familiarity with platforms like Snowflake or Databricks. WHAT DEFINES US: CURIOSITY, OPTIMISM, AMBITION, EMPATHY Our team at Ramboll Tech is currently on a More ❯

user centred workflows Workflow/dashboard debugging tools Instrumentation and metrics analysis Usability improvements Fitness/chaos engineering Migration to lambda functions Looking into the use and introduction of NLP and Machine Learning Key Tasks Partner with functional owners to develop solutions that solve business problems or increase the productivity of the technology department. This will include gathering and validating More ❯

seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and … Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and … Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

Ventures (Sennder, Stord, Gatik). What You'll Do: Lead the design and deployment of end-to-end ML systems for enterprise applications, from experimentation to production. Apply large language models effectively: Fine-tune and evaluate LLMs for domain-specific tasks. Develop robust prompt engineering and orchestration strategies. Optimize inference pipelines for latency, throughput, and cost-efficiency. Write production … scripting. You'll be skilled in supervised and unsupervised learning, model evaluation, and feature engineering. Knowledgeable in Deep Learning frameworks like PyTorch, with experience in various neural networks and NLP models. Exposure to generative and multi-modal models is a plus. A practitioner of MLOps, experienced in model serving, orchestration (Kubernetes), and experiment tracking. You'll be capable of designing … on cost optimization and reproducibility. Equipped with a solid foundation in linear algebra, probability, statistics, and calculus. An effective communicator who can translate complex technical concepts into clear business language and work collaboratively with non-technical stakeholders. You'll also be expected to provide technical leadership and mentor colleagues. This role might not be for you if You're More ❯

leadership team. As Associate Director of Artificial Intelligence, you'll drive and execute the company's AI strategy - leading initiatives that harness the power of Machine Learning, Generative AI, NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to … field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines More ❯

month contract on a hybrid basis based near Stratford, London. Main Accountabilities: Design and implementation of tooling and technologies to support Machine Learning and the use of Large Language Models Take ownership of the design, deployment, and maintenance of machine learning models Recommend, implement, and use tooling to improve the development, operations, and observability of machine learning models, large … language models, and AI-related services Essential skills: Previous experience working on online Chat or Chatbors, particular voice, is a must-have. Strong recent hands-on capabilities in Python are a must-have. Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must. Srong's understanding of deploying and … and its applications is a must-have Desireable : Any of Terraform, Helm, Kubernetes, Postgres would be advantageous. Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI. A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models. The two-stage remote interview process with the capacity to start ASAP. More ❯

month contract on a hybrid basis based near Stratford, London. Main Accountabilities: Design and implementation of tooling and technologies to support Machine Learning and the use of Large Language Models Take ownership of the design, deployment, and maintenance of machine learning models Recommend, implement, and use tooling to improve the development, operations, and observability of machine learning models, large … language models, and AI-related services Essential skills: Previous experience working on online Chat or Chatbors, particular voice, is a must-have. Strong recent hands-on capabilities in Python are a must-have. Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must. Srong's understanding of deploying and … and its applications is a must-have Desireable : Any of Terraform, Helm, Kubernetes, Postgres would be advantageous. Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI. A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models. The two-stage remote interview process with the capacity to start ASAP. More ❯

Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. Scientific publication track record at top-tier AI/ML/NLP conferences or journals PREFERRED QUALIFICATIONS Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯