101 to 125 of 214 Natural Language Processing Jobs in England

. Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation and Bayesian inference Time-series analysis and NLP SQL database querying and APIs for models Ability to innovate and develop new algorithms where needed. Leadership mindset - fostering technical growth, supporting professional development, and encouraging collaboration. Commercial awareness and More ❯

Placement, you may be combining data and analytics with engineering or applications knowledge. We make extensive use of Machine Learning (ML) and Advanced Analytics including Computer Vision; Neural Networks; NLP and advanced statistics as well as working with varied and big datasets. GE Aerospace combines unrivalled strength in the Aviation domain with digital capability to provide business changing outcomes. Our More ❯

machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and modern development practices. Interest in deploying models into real-world applications. What More ❯

machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and modern development practices. Interest in deploying models into real-world applications. What More ❯

Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. Proficiency in Python and familiarity with tools like LangChain, PromptLayer, or More ❯

RAG systems to enable context-aware document retrieval from internal HR/legal databases. Required Skills & Experience: Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs. Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and RAG Strong proficiency in Python and experience with frameworks like PyTorch or TensorFlow. Experience working with vector databases (e.g. More ❯

RAG systems to enable context-aware document retrieval from internal HR/legal databases. Required Skills & Experience: Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs. Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and RAG Strong proficiency in Python and experience with frameworks like PyTorch or TensorFlow. Experience working with vector databases (e.g. More ❯

strategy, roadmap, and execution that gets us there. You'll collaborate with exceptional product, research, engineering, and deployment teams to ship production ready, LLM powered agents that feel as natural as talking to a human. If you're driven to solve real user problems, insist on truth seeking AI, and delight in turning frontier research into intuitive, trustworthy experiences … end user value. Be the bridge between customer problems and technical possibilities. Have a deep understanding of the customer and new technical breakthroughs to truly challenge the future of natural language interfaces. Drive go to market … for new vertical packs. Coordinate beta programs and launch kits to rollout new channels and drive OOTB ROI within specific verticals. Required Qualifications 4+years of product management delivering AI, NLP, or messaging products in production. Hands on background, comfortable reading Python, writing SQL, and debugging webhooks. You have a bias for action and experience using AI prototyping tools to test More ❯

record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for either computer vision or natural language processing. Proficiency with the Python programming language. Knowledge of Git and collaboration principles. Strong communication and presentation skills. LIFE AS A SATALIAN As an organisation, we push More ❯

/ML solutions and 8+ years defining long-term product/solution roadmaps with execution programs Hands-on experience with AI/ML workloads including machine learning, deep learning, NLP, CV, GNN, or distributed training Ability to create compelling customer proposals and present to executives; proficient English communication in technical and business settings Preferred Qualifications Experience with AWS services (Amazon More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

client Setting out the required roadmap of initiatives for an organisation to transform to become more data-driven Expertise in AI/ML technologies, including supervised/unsupervised learning, NLP, LLMs, MLOps, and cloud-based AI platforms (Azure, AWS, GCP) Ability to shape and articulate compelling value propositions for AI initiatives Experience supporting large-scale AI programmes or portfolios, including More ❯

At Sense Street, we are developing natural language understanding systems for capital markets. Our premise is simple: markets are conversations, and we aim to help investment banks and asset managers have better, more efficient conversations. Through our partnerships with global banks, we have access to datasets that have not been made available in the past.This allows us to … gain experience of company and culture creation in still early stage of our start-up journey. The Role: Provide scientific depth in a data science team including ML and NLP scientists and linguists. Design new ML tasks from raw data through new ML methods to finalised products that will be used by our customers. Drive innovation on tasks that are … in a specialised domain and do not conform to standard NLP tasks. Think creatively and innovatively to produce effective models and complete ML pipelines. Some problems you might work on: Automated flagging of cases where model predictions might be incorrect. Building more efficient data annotation strategies to fine-tune an LLM. Requirements: MSc with enough research experience (industry or academia More ❯

leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD More ❯

implementation teams. Qualifications and Experience Bachelors or Masters degree in Computer Science, or a related field. Strong knowledge of AI and machine learning technologies related to customer experience (chatbots, NLP, sentiment analysis, etc.) Experience with Contact Centre/CX platforms and their integration with AI. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and data management systems (CRM, ERP) Min More ❯

similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more More ❯

use AI tools where possible to help explore, analyse and transform data. What Youll Do Build Data Products & Algorithms: Prototype and refine predictive models (e.g., compliance forecasting, anomaly detection, NLP-based feedback analysis). Embed solutions into client dashboards and intelligent tools. Actively Participate in Innovation Labs: Lead the data science lifecycle: ideation ? prototype ? pilot. Use agile methods (sprints, MVPs … or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous More ❯

engineering and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM-based solutions where applicable Partner with engineering teams to ensure data science solutions are scalable, production-grade, and cost-efficient across cloud platforms Establish and enforce … in data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep understanding More ❯

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 ❯