26 to 50 of 56 Remote/Hybrid Natural Language Processing Jobs

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 ...

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 ...

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 ...

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 ...

science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

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 ...

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 ...

services, or complex enterprise environments Right to work in the UK Desirable Skills & Experience Exposure to AI/ML concepts (e.g. machine learning models, NLP, RPA, decision intelligence) Experience with data platforms, cloud ecosystems, or analytics tools Knowledge of post-merger integration (PMI) frameworks Agile certifications (e.g. Scrum, SAFe ...

stack including Microsoft Fabric and Azure Basic understanding of data science principles such as machine learning, cluster analysis etc. as well as generative AI, NLP etc. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying ...

users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead. Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. ...

users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead. Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. ...

Have Deep experience building production AI/ML systems - real systems with evaluation, iteration, and feedback loops Strong foundations in machine learning, NLP, automated reasoning, or related fields - with hands-on experience applying them to LLM-based applications and multi-agent architectures Strong software engineering skills in Python - you build ...

competitor landscapes to inform product vision. What Were Looking For: Proven experience managing AI or ML-driven products. Strong understanding of generative AI, NLP, computer vision, or related technologies. Ability to convert complex technical concepts into business outcomes. Track record of launching AI products from concept to production. Excellent communication ...

Skills & Experience Proven experience delivering AI, automation, or digital transformation programmes Strong understanding of AI/ML and intelligent automation technologies (e.g. RPA, NLP) Excellent stakeholder management and communication skills Experience working in Agile delivery environments Ability to bridge the gap between technical teams and business leaders Clearance Active ...

Skills & Experience RAG Engineering (must-have) ● 6+ years of software engineering experience, with at least 2-3 years focused on information retrieval, search systems, NLP, or RAG architectures. ● Deep expertise in vector databases — production experience with at least one of: Pinecone, Weaviate, Milvus, Qdrant, Chroma, pgvector, or Databricks Vector Search. … Master's degree in Computer Science, Information Retrieval, Computational Linguistics, Data Science , or a related quantitative discipline. PhD in a relevant field (IR, NLP, knowledge graphs) is a strong differentiator. ● Relevant certifications are valued (Databricks Certified, AWS/Azure ML Specialty) but are secondary to demonstrated hands-on expertise. Agents ...

Python, we want to hear from you. SKILLS - we are super keen to see in your profile chatbot speech recognition text to speech audio processing recommender systems Why work in iGaming with US? Because you'll be building cutting-edge tech that powers entertainment for millions-where innovation meets … Collaborating with data and engineering teams to solve complex challenges Staying ahead of the curve with the latest in LLMs, RAG, and CV/NLP trends What you bring: Solid Python skills + experience with PyTorch or TensorFlow Hands-on with Docker, CI/CD, and testing frameworks like Pytest ...

well-defined modelling tasks. Build end to end ML pipelinesfrom feature engineering and preprocessing to deployment ready model outputs. Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. Implement model evaluation frameworks using offline metrics, cross validation, online experiments … connectivity and Data Integrations Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis. Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning. Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring. Understanding ...

Strong proficiency in at least one programming language, preferably Python Hands-on experience with containerization technologies (Docker) and databases Strong interest in search, NLP and machine learning Nice-to-haves Hands-on experience with OpenSearch/ElasticSearch Hands-on experience with NLP and machine learning in a production environment ...

engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture – Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy … financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval‐augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

engineering roadmap aligned to Banking tech strategy and enterprise architecture.* **AI Engineering & Architecture -** Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories.* **Data Strategy … financial services or enterprise environments.* Demonstrated success building AI applications in investment banking, asset management, or capital markets domains.* Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices.* Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly incorporating LLM-powered … design and backend architecture Proficiency with Git Willingness to work 2 days per week onsite in London Nice to have Exposure to NLP or search systems (e.g. semantic search) Experience working with LLMs or generative AI Frontend experience (e.g. React ) Experience with Elasticsearch or OpenSearch Experience with AWS or similar ...