51 to 75 of 122 Permanent Natural Language Processing Jobs

Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow ...

strategic client engagement. As a Gen AI Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines Act as a trusted advisor ...

multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would ...

Agent SDK · LLMOps 2. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 3. Staff SE – MLOps/DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across ...

learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) MLOps and model operationalization Responsible AI awareness Additional Requirements: Security clearance (SC/BPSS) Pre‐sales contribution experience Familiarity with regulated ...

various data sources can be used to identify fraudulent activity. Advanced knowledge and practical experience of developing, implementing and harnessing generative AI and NLP for the benefit of counter fraud. oAccredited Counter Fraud Specialist or member of Government Counter fraud Profession oDemonstrate CPD. oPolitically astute with knowledge of national ...

various data sources can be used to identify fraudulent activity. Advanced knowledge and practical experience of developing, implementing and harnessing generative AI and NLP for the benefit of counter fraud. oAccredited Counter Fraud Specialist or member of Government Counter fraud Profession oDemonstrate CPD. oPolitically astute with knowledge of national ...

various data sources can be used to identify fraudulent activity. Advanced knowledge and practical experience of developing, implementing and harnessing generative AI and NLP for the benefit of counter fraud. oAccredited Counter Fraud Specialist or member of Government Counter fraud Profession oDemonstrate CPD. oPolitically astute with knowledge of national ...

pipelines.* **Depth Experience:** in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven ...

accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM/NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models … that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment ...

currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage … business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time ...

high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. Additional Info ...

experience in software development, systems integration, or DevSecOps (web applications, APIs, or enterprise systems). 2+ years building/integrating AI-enabled applications (chatbots, NLP apps, retrieval/search, knowledge assistants) into secure enterprise environments. Strong background in secure coding and deployment practices. Ability to obtain and maintain Top Secret ...

this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work ...

text, images, metadata). What you’ll do Build & productionise ranking, recommendation, and pricing models Design A/B tests and experimentation frameworks Apply NLP, LLMs, and vector databases to real product problems Create multi-step AI workflows for commercial and operational decisions Translate technical insights into product & revenue impact ...

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point ...

Bring Must‐Haves Strong Python engineering skills and experience shipping AI/ML systems into production. Hands‐on experience with LLMs, RAG, Transformers, or NLP/IR architectures. Experience with prompt engineering, evaluation, and optimisation techniques. Comfortable working with cloud infrastructure (AWS/Azure/GCP). Knowledge of MLOps ...

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. Collaborate with … with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes). Exposure to big data technologies (Spark, Hadoop) and Apache tools. Knowledge of NLP, computer vision, and deep learning architectures. Familiarity with Agile and DevOps practices. STEM degree or equivalent experience in AI, Data Science, or related fields. Industry ...

that directly improve customer outcomes. Key Responsibilities • Own 0-1 ML product development from prototype to production • Build and scale LLM systems (RAG, agents, NLP) • Translate product needs into experiments, MVPs, and production features • Collaborate with Engineering and Product to ship solutions • Work with large-scale cloud datasets to drive ...

Nice to Have) Basic experience with Python (e.g., scripting, automation, or integration support) Understanding of AI integration concepts Experience consuming AI/LLM/NLP APIs or internal AI platforms Awareness of AI security and risk topics, including: Sensitive data and PII handling Prompt injection risks Hallucinations and output validation ...

real world data (RWD) is a plus. Core Competencies Demonstrated expertise in cleaning and stitching complex datasets. Ability to work with unstructured text or NLP derived outputs is highly desirable. Exceptional attention to detail and accuracy. Strong written and verbal communication skills. Self directed, curious, humble, and collaborative. Additional Information ...

building and leading teams of experienced ML engineers/scientists. Solid understanding of the fundamentals of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms. Hands‐on experience in implementing distributed/multi‐threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc. ...

will be required to go through MOD SC clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery ...

quantitative field. Fluent Python programmer with experience in deep learning frameworks (e.g., PyTorch). Expert in core data science techniques (supervised/unsupervised, NLP) and developing innovative algorithms. Leadership mindset, mentoring teams and fostering collaboration. Commercially aware, able to translate complex business problems into practical, high-quality solutions. ...

using Infrastructure as Code, with a strong focus on automation, compliance and best practice. Develop and integrate AI applications and services, including classical ML, NLP, RAG and generative AI solutions. Support experimentation and proof-of-concept work through secure AI sandboxes and evaluation of emerging tools and platforms. Monitor, optimise ...