276 to 300 of 358 Natural Language Processing Jobs in England

reproducibility and reliability. Drive architectural decisions for data‐intensive, AI‐driven applications, making sharp trade‐offs between cutting‐edge approaches and production readiness. Apply NLP and GenAI to extract structure from unstructured financial documents: credit agreements, indentures, and servicer reports. Build and deploy models that operate on structured finance data … with cloud infrastructure (AWS preferred) and modern MLOps practices. Commitment to people development: mentoring, performance conversations, and building high‐performing teams. Bonus: experience with NLP on financial contracts, RAG or LLM‐based applications on structured data, large‐scale loan data pipelines, or containerization tooling (Docker, Kubernetes, Terraform). Competitive salary ...

practices, system design, application development, testing, and operational stability. Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals, and coding assistants. Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production … operational stability. Preferred Qualifications, Capabilities, And Skills Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP). AWS Certifications (Solution Architect Associate or Professional) are advantageous. In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience. ...

product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data. Publish curated datasets, features … controls in Microsoft Fabric and Databricks. Strong grounding in exploratory data analysis, statistics, feature engineering, model selection, validation and error analysis. Practical experience with NLP, information extraction, entity resolution, embeddings or other techniques relevant to document-heavy and relationship-rich data. Good understanding of data lineage, provenance, metadata, access controls ...

maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets … reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring services Understanding of Server ...

Spotify is seeking a senior leader for its machine learning engineering group. Based in London or Stockholm, you'll coach 10+ senior and Staff ML engineers and shape long-term audio/content understanding strategy ...

optimization of models to boost personalization, engagement, and traffic efficiency, balancing hands-on work with strategic leadership. The role requires advanced ML/NLP expertise, strong coding skills across Python/C++/Java, and collaboration with product, eng, and business teams. #J-18808-Ljbffr ...

real high-DoF hardware (humanoids, mobile manipulators, dual-arm or legged platforms), including coordinating base and manipulator motion. Practical fluency with QP/NLP solvers and their failure modes: conditioning, infeasibility, warm starting, solve-time budgets, and what to do at the limit. Strong dynamic modelling foundations: rigid body kinematics ...

Scrum squads, with CI/CD and infrastructure as code already in place Requirements - 5+ years as an AI/ML engineer delivering NLP and ML models into production SaaS - Production LLM experience: RAG, fine-tuning, evaluation, monitoring - Strong Python, including building APIs and integrating models into applications - NLP frameworks ...

MLOps practices. Work with structured, semi-structured and streaming data to generate actionable insights; Contribute to AI-enabled solutions including Generative AI, Agentic AI, NLP, forecasting and optimization where appropriate; Apply Infrastructure-as-Code principles to support repeatable cloud deployments. Build dashboards and visual analytics solutions using modern reporting … management. Familiarity with optimization, forecasting and simulation techniques. Experience building or contributing to AI-enabled operational products. Exposure to Generative AI, Agentic AI or NLP solutions. Knowledge of data governance, metadata management and data quality frameworks. Some grounding in statistics and analytical problem-solving. Experience with Infrastructure-as-Code tools ...

Computer Science, Data Science, Engineering, Informatics, or a related field.* Strong hands-on experience building and deploying AI/ML/DL/NLP/LLM systems in production environments.* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code).* Experience … Epic or Cerner).* Experience building commercial software products in regulated environments.* Publications or research experience in AI/ML/DL/NLP/LLM or biomedical informatics.* Startup or scale-up experience.## Perks and Benefits* Flexible working hours.* Benefits include private medical insurance, life insurance and travel cards. ...

testing, debugging, and performance awareness Working knowledge of ML engineering/MLOps concepts, including training vs. serving, batch vs. real-time, orchestration, scalable data processing, and familiarity with model/prompt versioning and governance Ability to align evaluation and guardrails to business goals and identify potential unintended outcomes Experience … stakeholder management and teamwork skills, with the ability to drive outcomes in cross-functional teams Preferred Qualifications, Capabilities, and Skills: Hands-on experience with NLP and/or generative AI, including LLMs, RAG, tool/function calling, and agentic workflows Familiarity with agentic building blocks such as orchestration frameworks ...

ground up while delivering measurable impact across a high-volume platform. The Company They are a global technology business operating at significant scale, processing billions of transactions and interactions each year. The business is continuing to invest heavily in Data Science, Machine Learning, and automation, with a particular focus … machine learning models in production environments Strong SQL and data engineering capabilities, with experience working on large-scale datasets Interest in AI technologies, including NLP, Computer Vision, LLMs, or Generative AI applications Experience building scalable data pipelines and ML systems Strong communication skills and the ability to work effectively across ...

capacity visibility, regular reporting, and leadership of team engagement activities. Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. … onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView, etc.). Good knowledge of SQL language and simple analysis techniques to profile data. Technical experience and knowledge in On‐Premise and Public Cloud Data Services focused on database architecture, ETL, data ...

improves over time. We are looking for a mid-level Data Scientist to join the team that owns business-critical, live solutions utilising Large Language Models (LLMs), such as an email ingestion/extraction solution and underwriting agents. This is not a pure research or offline-modelling role - when … designing experiments, engaging with stakeholders and collaborating with engineers to deliver production solutions. You'll have: Experience working in Data Science, Applied Machine Learning, NLP or LLM-focused roles. Strong Python and SQL skills, with experience working in production codebases and collaborative engineering environments. Hands-on experience evaluating, deploying ...

will work with large scientific communities to implement metadata standards, APIs, and project-specific portals. You will contribute to containerised workflows, cloud integration, and NLP-driven data access via MCP servers. Strong Python expertise and collaboration skills are essential. #J-18808-Ljbffr ...

platforms. The role involves code development, deployment, and ongoing optimization to impact consumer experiences. The ideal candidate has solid experience in search technologies, NLP, and English proficiency, with a customer-focused approach and strong technical acumen. #J-18808-Ljbffr ...

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas into real products. … Researcher/Research Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search ...

have an exciting opportunity for you at Medpace. We are currently seeking a professional with experience with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be programming and fine-tuning various AI tools and helping IT teams to implement them into new applications. This professional … learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised ...

interpret incoming information, assess its relevance and deliver results that users can inspect and trust. What you’ll do Build and improve LLM and NLP pipelines that extract entities, identify developing narratives and produce structured market intelligence. Design evaluations for accuracy, consistency, latency and failure modes, then use the results … product capabilities. Strong Python and software engineering skills, with experience shipping AI or machine-learning systems into production. Hands-on experience with LLMs or NLP, including evaluation and the practical limits of model outputs. The ability to own a technical problem: make design choices, write maintainable code, test ...

that enable safe and efficient use of Generative AI at scale. We create services, applications and libraries that power the use of Intelligent Document Processing to drive real-world business impact. The Role This is a senior role within a deliberately flat team structure. You will be expected … require novel solutions but are constrained by regulatory and compliance requirements. Experience building production systems for one or more of: document/data extraction, NLP-based classification, machine translation, fraud or anomaly detection, or workflow automation. Experience evaluating the performance of Generative AI applications – exposure to Mlflow, experiment design, evaluation ...

data. Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. A deep understanding of how modern models are built, not only how they're used: transformer architectures, pre-training … models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. NLP depth on long-form professional text: classification, information extraction, entity resolution, summarisation, embeddings and retrieval. Real-world delivery of modern AI approaches (RAG, fine-tuning ...

loop review where the stakes demand it. Lead Innovation: Push the envelope with cutting‐edge LLM and agentic techniques to solve hard problems in language understanding, extraction, and reasoning. Shape the Product: Collaborate with Product, Design, and Underwriting SMEs to align ML capabilities with product goals and real domain … reliability at scale. What type of person fits the role: Experience: 6+ years in ML/AI, with deep hands‐on expertise in NLP, LLMs/SLMs, and agentic systems. LLMs & Architectures: Hands‐on experience building with OpenAI and Anthropic models/APIs; strong knowledge of LLMs and agent architectures. ...

including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using modern ML frameworks. Engineer high performance NLP and sequence models for information extraction, classification and risk prediction. Engineering level platform configuration Configure advanced OneView components linked to modelling outputs such as risk … machine learning engineering Strong Python engineering skills and experience with modern ML frameworks Practical experience training and evaluating models (tree based, temporal, embedding/NLP or LLM based) Ability to build reproducible training and evaluation pipelines Experience containerising and deploying models (e.g., Docker, Fast API) Solid data and database engineering ...

design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud Platform (GCP). The architect will be responsible for defining AI solution strategies, driving … solution architecture, stakeholder management, and hands‐on expertise in modern AI ecosystems Mandatory Skills AI/ML Experiment design and A/B testing NLP and text analytics Generative AI Prompt Engineering AI Agents and Multi-Agent Systems Copilot and Conversational AI development BigQuery Dataflow Cloud Functions GKE Pub/ ...

customer, and have a say in how models are built, validated and deployed in secure environments. What you'll be working on ML and NLP models for intelligence data: pattern detection, data matching, anomaly spotting Automated triage and analysis of large, messy, multi-source datasets (sensor, geospatial, comms) Graph analytics …/ML strategy and best practice as you grow Must have: Experience of Python-based data science and ML, and some exposure to NLP or graph analytics. Comfortable with sensitive data. Able to explain complex analysis to non-specialists. #J-18808-Ljbffr ...