76 to 100 of 122 Permanent Natural Language Processing Jobs

Machine Learning, AI, Data Science, Engineering and SaaS – ideally 3-4 years. Experience managing teams from technical standpoint including people management. Confident working with NLP, LLM type solutions. Strong technical background in Data, Development & Cloud – Python/Azure. High level stakeholder management skills. Must have recent FinTech or Finance experience. ...

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. ...

relevant internships in machine learning, data engineering, or software engineering. You’ll contribute to designing, implementing, and deploying production-grade ML systems—ranging from NLP pipelines to model‐driven workflow automation. You’ll learn quickly, gain real ownership, and see your work make tangible business impact. What … willingness to learn quickly. Foundational skills Degree in a STEM field. PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas. Bachelor’s/Master’s: 1–2 years of industry experience or relevant internships in ML, software engineering, or data engineering. Programming experience (especially ...

experience we consider to be essential for the role: Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI-driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and GitHub Copilot. Google Stitch. ...

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 ...

Azure, Amazon Web Services, or Google Cloud Platform Familiarity with SQL and database systems Basic knowledge of APIs and software development practices Exposure to NLP, computer vision, or deep learning concepts Relevant certifications in AI or cloud technologies Skills Machine Learning Fundamentals Python & AI Libraries Data Processing & Analysis Problem ...

engineering experience Python and ML frameworks Experience deploying models to production Financial services or data-heavy background Cloud ML tooling exposure Nice to Have NLP or time-series modelling MLOps experience Risk or fraud use cases Why Join Applied ML in production High-impact financial use cases Growing AI capability ...

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 ...

follow problems end-to-end Excellent communication with technical and non-technical stakeholders Preferred Deploying LLMs, multimodal models, or generative AI systems Background in NLP, computer vision, or multi-agent systems Sales engineering, pre-sales, or customer success engineering in high-growth environments Experience working in domains with heavy operational ...

clusters and public cloud environments (GCP/AWS) are utilized effectively. Refactoring & Model Serving : Transform experimental code (Jupyter Notebooks, R scripts) developed by NLP and Omics researchers into robust, containerized software packages. Deploy and optimize model inference servers (e.g., vLLM, Triton Inference Server) to expose AI models as reliable internal …/EKS) and using GitOps workflows (ArgoCD/Flux). Knowledge of Graph Database administration (Neo4j) and object storage architectures. Familiarity with Serverless event processing (Cloud Functions) and ML Engineering concepts (quantization, distillation, serving via Triton/vLLM). Disclaimer: The above description is meant to illustrate the general ...

What project we have for you Are you a skilled Machine Learning engineer with a passion for Computer vision, NLP or Generative AI? Do you have a knack for understanding both the technical intricacies and the business implications of data-driven solutions? If so, we have an exciting opportunity … product management, and other relevant teams to integrate data-driven functionalities into our products. What you need for this Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research. Proficiency in programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, OpenCV, spaCy, etc. ...

plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

Software Engineer At least 2 years of commercial experience in an Artificial Intelligence Software Development role with exposure to areas like computer vision, audio processing, and generative AI systems Ideally you will be educated to PhD level or you have experience working in a start-up environment Excellent academic …/Golang/Kotlin/Docker/Programmer/Software Engineer/Software Developer/Programming/Coding/programmer/LLM/NLP/Audio/Signal Processing/Deep Learning ...

small, high-ownership engineering team We’re looking for someone who: • Has 4+ years of professional software engineering experience • Has experience with LLMs/NLP • Understands system design • Is comfortable interacting directly with end users • Knows cybersecurity fundamentals • Is proactive, independent, and thrives in ambiguous environments • Is a US Citizen ...

building complex integrations with third-party systems (e.g. ATS, CRM, or HR tools). Hands-on (professional) experience with AI/ML, including APIs, NLP, or automation. Proficiency in React and full-stack development, with a keen eye for user experience and performance. Full working proficiency in English. Long-term ...

transforms product development, internal operations, and team structure You've implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation You're excited by agentic AI and understand how autonomous systems can handle workflows end-to-end, not just assist You’ve built ...

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 ...

within AWS. The Role As a Senior Data Scientist, you’ll play a key role in advancing their AI product suite, working across both NLP-driven systems and next-generation LLM applications. You’ll sit within a growing Data Science team (currently 5, including 2 senior members), helping to shape … include: Building and optimising machine learning and LLM-based models Fine-tuning and deploying models within production environments Working on conversational AI systems, including NLP and data interaction layers Collaborating closely with engineering and DevOps teams in an AWS environment Applying statistical and mathematical thinking to solve complex, real-world ...

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 … Drop me a DM Seniority Level Not Applicable Industry Software Development Employment Type Full-time Job Functions Engineering Skills Artificial Intelligence (AI) Large Language Models (LLM) Machine Learning Technical Leadership Multi-agent Systems AWS SageMaker Amazon Web Services (AWS) Python (Programming Language) LangGraph Amazon ...

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 ...