251 to 275 of 359 Natural Language Processing Jobs in England

create governed data assets, reliable pipelines and lakehouse models using Microsoft Fabric and Databricks. You will turn priority data sources into reusable assets, develop NLP and ML models, ensure data quality and provenance, and publish features through Fabric/Databricks APIs or products, #J-18808-Ljbffr ...

software using KDB+/Q, Python, C++, and JavaScript on a fast-paced trading floor. The role emphasizes rapid response to trader demands, with NLP/ML techniques to maximize insights from large data sets. Requires 3+ years in front-office quant roles and advanced degree. #J-18808-Ljbffr ...

technologists. We believe this layering of experience is key to building cutting edge AI that is operationally relevant. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in agentic AI and knowledge representation, as we set our sights firmly on defining ...

tick every box. We’d still love to hear from you. Nice to have Any exposure to AI-generated content, NLP outputs, or taxonomy/classification systems. An interest in HR technology, talent management, or how organisations think about skills and roles. Experience defining what “good” looks like for data ...

contributing to the next generation of AI-powered scientific discovery tools. This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. Key responsibilities Applied AI & Research … Support delivery of projects from research and experimentation through production deployment. Required qualifications Master’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field Hands-on experience ...

Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state‐of‐the‐art techniques in NLP, embeddings, and generative AI to production use cases. Evaluate and integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment … 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. Collaboration & Delivery Work closely with product, engineering, and domain experts to define ...

will be working on the following: Extending and maintaining the codebase for the data pipeline which feeds into our carbon offsets database Data gathering, processing and analysis; researching and implementing ways to unlock data from new sources (public websites, APIs, .pdf reports, etc.) Building out the functionality … touch and we’ll be happy to discuss further. Preferred Qualifications Experience with Vue or other similar JavaScript framework Experience with simple NLP methods using Gensim and scikit-learn Knowledge of testing methodologies and an uncompromising ethic around automated testing Experience with microservices architecture Perks Coming on board ...

assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning and gen AI solutions to meet enterprise … years) Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source ...

assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning and gen AI solutions to meet enterprise … years) Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations,automated testing,source ...

assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning and gen AI solutions to meet enterprise … essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source ...

early-stage concepts through to production. Develop, evaluate and integrate AI/ML models and applications. Work across modern AI technologies including LLMs, RAG, NLP, Computer Vision and agent-based systems. Assess model performance, investigate failure modes and optimise solutions. Develop robust, high-quality Python software for technically complex applications. … Agentic AI. LangChain, LangGraph or similar AI orchestration frameworks. PyTorch, TensorFlow, Scikit-learn or Hugging Face. Vector databases, embeddings and model evaluation. NLP, Computer Vision or multimodal AI. Edge AI, AI safety, security or explainability. Experience working on technically complex or highly regulated projects. Requirements Ability to obtain appropriate ...

Engineering Manager to lead our Applied AI and Data Science team. This role blends people leadership with hands-on engineering, guiding AI and NLP systems across our products and internal tools. You will partner with product, data engineering and business stakeholders to drive AI-native engineering and scalable production-grade ...

department to drive data-driven outcomes across the organization. The successful candidate will work closely with data engineers and stakeholders, applying Python/R, NLP, and ML concepts to #J-18808-Ljbffr ...

oriented mindset with a passion for delivering customer value. Ability to manage multiple projects and work independently. Bonus Points For: Experience with Conversational AI, NLP, or chatbots. SaaS or CX platform knowledge. Front-end skills (HTML, CSS, JavaScript). Why Join Us? Work with the latest AI-powered CX technologies. ...

have deep machine learning expertise and Staff-level technical judgement, and you're comfortable getting hands-on when it matters• You bring experience across NLP, audio/music content understanding and recommender systems• You have a track record of managing engineering teams while delivering complex, cross-functional initiatives• You enjoy ...

have deep machine learning expertise and Staff-level technical judgement, and you're comfortable getting hands-on when it matters. You bring experience across NLP, audio/music content understanding and recommender systems. You have a track record of managing engineering teams while delivering complex, cross-functional initiatives. You enjoy ...

design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? About our Team Our global team support products education electronic health records that introduce students … maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based ...

Professional Experience Qualification Bachelor's or Master's Degree in Computer Science, Machine Learning, or related field Job Skills Python LLM Fine-Tuning NLP RAG Architectures Vector Databases SQL Generation PyTorch/Transformers As an AI/ML Engineer at Nexalytica, you will design and improve the core intelligence layer … care about evaluation, reliability, and user trust as much as you care about model architecture. 3–5 years of experience building ML/NLP systems in production. Strong proficiency in Python and ML frameworks like PyTorch or TensorFlow . Hands-on experience with large language models, prompt engineering ...

agent frameworks (e.g. Microsoft Agent Framework, LangChain) or your own orchestration. Experience with content, publishing, or knowledge‐management workflows (CMS integrations, editorial tooling, document processing … . Exposure to modern data platforms (e.g. Snowflake, ClickHouse, Databricks, BigQuery) or working with data engineering teams. A background or coursework in machine learning, NLP, or data science. Open‐source contributions, side projects, or writing that show you build for the love of it. An interest in economics, forecasting, financial ...

PostgreSQL and S3. Build Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real-time, event-driven services using messaging, queues, asynchronous processing and distributed systems. Build Infrastructure for AI Agents: Develop the infrastructure required to run increasingly agent-driven AI workflows … reliably in production, including state management, task execution, model routing, retries and observability Support AI Infrastructure: Work closely with our AI engineers supporting production NLP, LLM and quantitative model workloads, including our in-house GPU infrastructure. Automate Infrastructure: Build and manage Infrastructure-as-Code using Pulumi and automate deployments through ...

against quarterly OKRs, own our work end to end, and put collaboration at the heart of how we operate. Strong ML experience, hands-on NLP and production experience with agentic AI are essential. Our stack includes AWS, Python, PyTorch, Docker, LangChain/LangGraph and Langfuse. Experience with reinforcement learning … latency and cost trade-offs Embeddings, vector search and hybrid search Solid grounding in statistics and ML theory across supervised and unsupervised learning, NLP (entities, intent), recommendation, prediction and uplift modelling Full model lifecycle and MLOps: containerisation (Docker/ECR) and deployment on AWS Working with large text datasets ...

Understanding of distributed systems, data structures, algorithms, system design, low-level design, API design, and data modelling. Experience with batch and real-time data processing systems, databases such as Redis, and low-latency serving technologies such as KServe, FastAPI. Ability to partner effectively with cross-functional teams to deliver … Generative AI and LLMs to customer-facing products and designing, building, or scaling RAG systems. Experience in search, ranking, recommendations, personalisation, content intelligence, moderation, NLP, computer vision, or related AI domains. Experience with Airflow or comparable workflow orchestration platforms. Experience with cloud-native environments and container technologies, including Docker ...

engineering team to strengthen shared infrastructure and pipelines for reliability, monitoring and scale. Requirements: Production data platforms with high-volume ETL/ELT, distributed processing and orchestration (e.g. Airflow, Dagster, Prefect), as distinct from analytics pipelines. Python and SQL at a high level, plus Bash automation. Cloud infrastructure, with … across models and infrastructure (CloudWatch, Prometheus/Grafana, Sentry or similar; MLOps). AI and ML integration: productionising models (embeddings, LLMs); orchestrating LLM and NLP pipelines; ETL for training and inference data. Fluency with Claude Code: you use AI coding agents daily, and they make you meaningfully faster. External data ...

LOOKING FOR 5+ years in machine learning or software engineering, with production ML experience and strong Python. Hands-on experience shipping LLM-based or NLP systems to real users, including RAG, agents and tool use, and the ability to explain the design and trade-off decisions behind them. A rigorous … memory, tool calling and human-in-the-loop controls. Document understanding, OCR and table extraction on complex financial documents. Fine-tuning or distillation of language models, and inference optimisation. Experience with financial, investment or other regulated-industry data. Experience with LLM observability and evaluation tooling. THE REALITY Autonomous systems ...

like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code … Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps ...