151 to 175 of 197 Permanent Natural Language Processing Jobs

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 ...

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 ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Location: Remote-friendly/Hybrid About CNTXT CNTXT is building voice AI infrastructure for the Arabic-speaking world. We work on the hard problems — natural speech synthesis, real-time transcription, and conversational voice systems — with a focus on Arabic language quality that actually serves the region's speakers. … Prior work with speech or audio models (ASR, TTS, speaker verification, codec, VAD, enhancement, or similar) Familiarity with Arabic linguistic structure, diacritization tools, and NLP preprocessing for Arabic Experience with inference optimization — quantization, speculative decoding, CUDA kernels, or serving frameworks (vLLM, TensorRT) Publications or open-source contributions in speech ...

make LILT customers successful. You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations. You will have the insight to make the connection between a customer’s specific business problems … level. Subject matter expertise in localization solutions, technologies, and processes Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computer-assisted translation (CAT) solutions A passion for technical and solution-based problem-solving Analytical approach to intelligence gathering and project planning Outstanding verbal ...

client engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply … across defence and public infrastructure What you bring Core requirements Strong data science/machine learning background Experience delivering AI/GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment Experience leading projects, workstreams, or teams Strong stakeholder engagement skills - client-facing ...