401 to 425 of 605 Natural Language Processing Jobs

proficiency in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This is More ❯

proficiency in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This is More ❯

proficiency in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This is More ❯

proficiency in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This is More ❯

proficiency in Python for production ready delivery. Deep understanding of the ML/AI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). Good knowledge of AWS’s infrastructure. Why this role: This is More ❯

build, and optimise multi-agent AI systems using LangGraph or similar frameworks. - Integrate LLMs into agent workflows for search, reasoning, and automation at scale. - Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments. - Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment - Implement, and maintain multi-account, multi-region AWS More ❯

build, and optimise multi-agent AI systems using LangGraph or similar frameworks. - Integrate LLMs into agent workflows for search, reasoning, and automation at scale. - Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments. - Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment - Implement, and maintain multi-account, multi-region AWS More ❯

build, and optimise multi-agent AI systems using LangGraph or similar frameworks. - Integrate LLMs into agent workflows for search, reasoning, and automation at scale. - Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments. - Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment - Implement, and maintain multi-account, multi-region AWS More ❯

build, and optimise multi-agent AI systems using LangGraph or similar frameworks. - Integrate LLMs into agent workflows for search, reasoning, and automation at scale. - Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments. - Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment - Implement, and maintain multi-account, multi-region AWS More ❯

ML Frameworks: Strong experience deploying ML frameworks in a major cloud environment (e.g., GCP or AWS is preferred). ML Expertise: Strong understanding of core Machine Learning domains, including NLP, computer vision, and transformer models . Project Leadership: Proven experience in leading projects end-to-end and strong communication skills. Startup Experience: Experience at a strong startup or scale-up More ❯

System/End-to-End testing on critical applications and worked on Testing AI/ML models. . Extensive experience working on chatbot/IVR applications, including validation of NLP/NLU models, conversational flows, and fallback handling. . Strong background in web-based applications with a focus on GUI/UX testing, including accessibility and responsive design validation. . More ❯

Skillsets: Applied AI Knowledge: Practical experience integrating and consuming AI/ML models within a production environment. Familiarity with common AI/ML concepts (e.g., supervised/unsupervised learning, NLP, computer vision fundamentals). Experience working with AI APIs (e.g., OpenAI, Google Cloud AI, AWS AI Services) or integrating with custom-built models. Understanding of data processing for AI … both technical and non-technical stakeholders. Bonus Points For: Experience in the iGaming, sports, or entertainment industry. Familiarity with Web3 technologies, NFTs, or blockchain. Experience with real-time data processing (e.g., WebSockets, Kafka). Contributions to open-source projects or a strong GitHub profile. Experience with A/B testing frameworks and analytics platforms. WHAT WE OFFER Fully remote More ❯

Are you a hands-on data scientist with deep expertise in NLP and LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you! Role summary: As a Principal Data Scientist (individual contributor … production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals. We're looking for someone who combines deep technical expertise in NLP and LLMs , strong Python engineering skills , and real-world experience shipping and supporting models in production . You should be comfortable owning delivery timelines and ensuring that solutions meet business … production-ready AI systems. Lead the end-to-end development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users. Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability. Continuously improve model quality through tuning, evaluation, and feedback from production usage. Evaluate third More ❯

in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise in NLP and LLMs , strong Python engineering skills , and real-world experience shipping and supporting models in production . You should be comfortable owning delivery timelines and ensuring that solutions meet business … production-ready AI systems. Lead the end-to-end development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users. Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability. Continuously improve model quality through tuning, evaluation, and feedback from production usage. Evaluate third … Collaborate with engineering and business partners to define requirements, shape roadmaps, and ensure successful delivery of AI products. What you'll bring: Essential Skills Extensive hands-on experience applying NLP and LLMs to real-world problems, with a consistent track record of shipping models to production and supporting them post-deployment. Strong Python programming skills, including object-oriented design and More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

techniques to communicate analytical findings in a compelling and accessible way. Monitoring and fine-tuning model performance to ensure continuous accuracy and reliability. Using advanced machine learning techniques (including NLP, deep learning, and time-series forecasting) to solve complex business challenges. Contributing to the development of robust MLOps processes for deployment, monitoring, and retraining of models. About You You're … skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch). A broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian inference, time-series forecasting, and recommendation systems. Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and exposure to tools like Databricks or Dataiku. More ❯

join the founding team. What they’re looking for: Top-tier university background PhD is nice to have. Startup experience (ideally 0→1) Strong foundations in ML (deep learning, NLP, or recommendation systems) Solid Python skills, production deployment experience a plus Comfort working end-to-end: prototyping → scaling in production Why join? Office-based culture in London Direct impact on More ❯

join the founding team. What they’re looking for: Top-tier university background PhD is nice to have. Startup experience (ideally 0→1) Strong foundations in ML (deep learning, NLP, or recommendation systems) Solid Python skills, production deployment experience a plus Comfort working end-to-end: prototyping → scaling in production Why join? Office-based culture in London Direct impact on More ❯

whilst being able to convert them into viable commercial products. We’d expect you to have: At least 5 years commercial development experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development More ❯

whilst being able to convert them into viable commercial products. We’d expect you to have: At least 5 years commercial development experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development More ❯

whilst being able to convert them into viable commercial products. We’d expect you to have: At least 5 years commercial development experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development More ❯

whilst being able to convert them into viable commercial products. We’d expect you to have: At least 5 years commercial development experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development More ❯