301 to 325 of 411 Natural Language Processing Jobs in the UK

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 ...

engagement from the D&A team Qualifications Technical Knowledge, Skills and Abilities: 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 … 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 ...

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 ...

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. ...

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 ...

science focus to unlock insights from large, diverse data sets across government and private sector clients. You will lead the design of predictive models, NLP/text mining solutions, and data visualization to inform critical decisions. The role emphasizes collaboration with clients, cross-functional teams, and delivery of scalable analytics ...

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 ...

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 ...

engagement from the D&A team Qualifications Technical Knowledge, Skills and Abilities: 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 … 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 ...