151 to 175 of 205 Natural Language Processing Jobs

LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript. What will give you a competitive edge (preferred qualifications): Expert-level understanding of NLP, Embeddings, and Prompt Engineering. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience designing and implementing data processing ...

LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript.**What will give you a competitive edge (preferred qualifications):*** Expert-level understanding of NLP, Embeddings, and Prompt Engineering.* Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform).* Experience designing and implementing data processing ...

maintenance of complex software products in a DevOps and Agile environment. Deep practical experience with RAG, LLMs, and MLOps. Expert‐level understanding of NLP, Embeddings, and Prompt Engineering. Expert proficiency in Python, React, and TypeScript. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience … designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion, or Azure Data Factory). Deep understanding of the SDLC, API‐Centric Design, and Twelve‐Factor App principles. Proven experience mentoring engineers and leading technical teams to success. Deep familiarity with authentication and authorisation ...

maintenance of complex software products in a DevOps and Agile environment.* Deep practical experience with RAG, LLMs, and MLOps.* Expert-level understanding of NLP, Embeddings, and Prompt Engineering.* Expert proficiency in Python, React, and TypeScript.* Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform).* Experience … designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion, or Azure Data Factory).* Deep understanding of the SDLC, API-Centric Design, and Twelve-Factor App principles.* Proven experience mentoring engineers and leading technical teams to success.* Deep familiarity with authentication and authorisation ...

important role in enhancing our metrics offering. As our first dedicated ML hire, you’ll be utilising an array of modern LLM and NLP techniques to analyse complex financial data and unlock new capabilities for our market-leading suite of trade surveillance products. This role will see you combine hands … potential market abuse scenarios Apply machine learning and statistical techniques to large-scale financial datasets, improving accuracy and reducing false positives Leverage LLM and NLP models to extract insights from unstructured data and integrate them into existing analytics workflows Collaborate closely with quantitative developers, data engineers, and product teams ...

data scientists and data engineers to turn experiments and POCs into scalable, reliable services. Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines. Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management. Provide hands on technical leadership, contributing … Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures. Experience preparing data and pipelines for LLM based use cases and NLP workloads. Strong Python skills, with experience building APIs or services, for example using FastAPI. Confidence working across the full delivery lifecycle, from design through ...

data scientists and data engineers to turn experiments and POCs into scalable, reliable services. Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines. Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management. Provide hands on technical leadership, contributing … Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures. Experience preparing data and pipelines for LLM based use cases and NLP workloads. Strong Python skills, with experience building APIs or services, for example using FastAPI. Confidence working across the full delivery lifecycle, from design through ...

long‐term AI and discovery strategy across Elsevier platforms. Qualifications Master’s or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP or a related quantitative field. 10+ years of experience in Data Science, Machine Learning, Information Retrieval, Search Relevance, Evaluation Systems, or Applied AI. Significant experience … leadership. Demonstrated ability to balance strategic leadership with pragmatic execution in rapidly evolving AI environments. Preferred Qualifications PhD preferred in Computer Science, Machine Learning, NLP, Information Retrieval, Statistics, or a related field. Experience leading search, ranking, recommendation, or AI evaluation organisations at scale. Experience building evaluation systems for LLM‐powered ...

voice detection, verification, and enhancement across device and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP, and machine learning. Build cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers … related subject, an extensive ML research background, academic publications in ML conferences or journals, and experience developing ML products for Voice, ASR, and NLP at scale would be highly beneficial. Benefits may include: A generous pension package Private healthcare Discounted services Inclusion and How Youll Work Applications are welcomed from ...

Machine Learning Engineer (NLP) Location: remote only within the UK Salary: up to £100,000 Job Purpose As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. You will be responsible … developing and refining the NLP algorithms and infrastructure of our AI-powered design platform. You will apply SOTA NLP techniques to solve complex problems while collaborating with cross-functional teams. As Machine Learning Engineer (NLP), you will be responsible for: Building and deploying NLP models using the latest techniques ...

about helping customers solve some of the biggest workforce challenges, then RoleMapper is the place to be! Job Purpose As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. You will … responsible for developing and refining the NLP algorithms and infrastructure of our AI‐powered design platform. You will apply SOTA NLP techniques to solve complex problems while collaborating with cross‐functional teams. As Machine Learning Engineer (NLP), you will be responsible for: Building and deploying NLP models using the latest ...

trusted advisor to senior executives on technology vision, roadmap, and innovation strategy AI, GenAI & Advanced Analytics Architect Generative AI platforms including: Large Language Models (LLMs) Retrieval Augmented Generation (RAG) Vector databases, semantic search, and knowledge graphs Agentic and workflow-driven AI systems Drive adoption of AI across enterprise functions … industries preferred Technical Expertise AI/ML, Generative AI, LLMs, RAG, Knowledge Graphs Cloud-native architecture (microservices, containers, SaaS) Big Data, real-time analytics, NLP, computer vision MLOps, model explainability, and AI governance Blockchain and emerging technology integration Leadership & Soft Skills Strong technology vision and strategic thinking Ability to communicate ...

technical capabilities of AI models Communicate strategy, initiatives, and progress transparently across the organisation Translate complex AI concepts, capabilities, and limitations into language that non‐technical stakeholders can act on Champion responsible AI practices: transparency in model outputs, bias monitoring, and compliance with client expectations around AI‐generated content … Experience in financial services, legal tech, or data/analytics platforms Familiarity with credit markets, debt instruments, or regulatory/compliance workflows Experience with NLP applied to document analysis (contracts, legal filings, financial reports) Experience with agent orchestration frameworks, tool use patterns, or multi‐step AI workflows Benefits Competitive, market ...

codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. Strong software‐design instincts: testing, code review, CI/CD. Self‐starter, low‐ego, collaborative. Benefits … membership 🥕 Meal voucher: £200 monthly allowance for meals 💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience) #J-18808-Ljbffr ...

pipelines aligned to business strategy Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance) Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing Collaborating closely with Data Scientists to support model development, fine-tuning, and lifecycle management Supporting data integration … Machine Learning Engineering with a strong software engineering foundation Python, SQL, and modern ML engineering practices Azure-based ML and data platforms (including Databricks) NLP and LLMs, including fine-tuning and production deployment Designing and operating MLOps pipelines in production environments Stakeholder management and working in agile, high-performing teams ...

thinking that drives measurable and impactful outcomes. In your previous experience, you have: Demonstrated long‐term success on high‐stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries Built high‐quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs … tooling and trends within the software industry 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 Successfully led modernization efforts to align legacy systems ...

driven data pipelines and integrations to enable a QAS-powered response suggestion capability embedded in Salesforce Service Cloud. The role focuses on scalable data processing, LLM integration, and continuous model improvement using production telemetry. Responsibilities Design and implement Salesforce QAS integration architecture Build and optimize data pipelines supporting … Engineering Practices Strong understanding of: distributed systems performance optimization observability (e.g. Langfuse, logging/metrics) Nice-to-Have Experience with: Salesforce Service Cloud integrations NLP/GenAI applications in customer service Exposure to: Amplitude or product analytics tools Knowledge of regulated environments (banking/capital markets) Soft Skills Ability ...

along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands‐on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems … search, retrieval‐augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management ...

essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess solid understanding of modern NLP and/or financial knowledge, hands-on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems … search, retrieval-augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management ...

Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing … Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. ...

validation, and delivery Your Skills and Experience Strong commercial experience applying Generative AI and Large Language Models in production environments Deep knowledge of NLP, text generation, and modern machine learning techniques Excellent grounding in statistics, experimental design, and model validation Expert Python skills within a data science or machine ...

operating models and organisational structures for data and AI functions. Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and intelligent automation. Familiarity with AI governance frameworks, model risk management and regulatory requirements. Soft Skills Communication, storytelling and presentation skills. Experience of facilitation … stay ahead of the rapidly evolving AI landscape and deployment strategies. Strategic thinking with the ability to translate complex technical concepts into business language and explain how they drive business value. Preferred Criteria Familiarity with modern data governance frameworks and architectures, cloud platforms and AI infrastructure including DAMA. Exposure ...

operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling and presentation skills Experience of facilitation … mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA ...

embedding pipelines, RAG workflows and text‐analysis models. Develop and deploy agentic and multi‐component 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 … development into production. 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, FastAPI). Solid data and database ...

DevSecOps - and operationalize them across squads. Represent Engineering in cross-functional planning, executive reviews, and customer conversations. Translate technical risk and opportunity into business language for the executive team and the board. Partner with Security, Legal, and Trust & Governance to maintain enterprise-grade compliance posture for a customer base … model cost, latency, and quality trade-offs. Experience with large-scale data ingestion, ETL/ELT, and analytics platforms (e.g., web crawling at scale, NLP pipelines, taxonomy and skills extraction). Prior experience in HR Tech, workforce planning, talent intelligence, or labor market analytics. Experience operating in a private-equity ...