51 to 66 of 66 Remote/Hybrid 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

will need to be eligible for SC Clearance. The Key Requirements Proven experience in AI/ML R&D (e.g. computer vision, reinforcement learning, NLP, also including Large Language Models). Significant experience conceiving novel applications of AI/ML techniques, particularly adapting and applying academic research. Strong understanding ...

small research projects and larger multi-disciplinary development programmes Providing technical expertise in AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs, and NLP Conceiving novel applications of AI/ML techniques and adapting academic research Developing and leading agile teams through complex software engineering tasks Mentoring junior engineers … early-stage client interactions Job Requirements: Proven experience in AI and Machine Learning R&D Significant experience in computer vision, reinforcement learning, and NLP Strong software engineering skills, particularly with Python and widely used software tooling Ability to lead agile teams and deliver complex projects at pace Technical leadership skills ...

executive presentations. Positioning Zendesk as the customer’s platform of choice.* **Champion AI & automation:** Translate advanced AI/ML capabilities (including LLMs, ChatGPT, NLP, and predictive analytics) into actionable CX strategies that increase efficiency, personalisation, and scalability.* **Influence product evolution:** Leverage customer insights to inform product innovation, shape reference architectures … Contact Center, Customer Service software, ITSM, Business Intelligence, Data Warehousing, Workforce Management, QA or Integration & Middleware.* Strong understanding of AI and automation technologies (LLMs, NLP, ChatGPT, MCP, predictive analytics) and their impact on customer service transformation.* Demonstrated ability to lead virtual teams to successful outcomes and build consensus across technical ...

enterprise environments, this role gives you the chance to do exactly that. You will work directly with highly technical customers, shaping how cutting edge NLP, knowledge graph, and LLM technology is deployed at scale, while still remaining deeply hands-on as an engineer. The Company They are a BioTech startup … platform, supporting productisation. Alongside customer work, you will contribute directly to internal platform and engineering initiatives. Your Skills and Experience Strong commercial experience deploying NLP or LLM powered systems into production environments. Hands-on experience with retrieval augmented generation, vector databases, and retrieval or recommendation systems. Practical experience building, debugging ...

RoleMapper Technologies Limited is looking for a Machine Learning Engineer (NLP) to develop cutting-edge NLP algorithms as part of their AI-powered design platform. This remote role requires experience in building and deploying models, with a strong focus on ethical AI solutions. The company emphasizes collaboration and innovation, offering ...