301 to 325 of 560 Natural Language Processing Jobs

of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to More ❯

of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to More ❯

of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to More ❯

similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

a trusted expert and a strategic thinker who can translate complex technical concepts into business value. You'll need: A strong foundation in AI/ML technologies including GenAI, NLP, computer vision and automation, with hands-on experience in platforms like Palantir, Agentforce, Copilot and Azure Data Intelligence Proven experience designing and implementing AI solutions across multiple domains, ideally within More ❯

structures for describing regulation to create a regulatory commons. Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Backed by £15 million in funding, we have established a solid product-market fit and are experiencing significant commercial traction with global More ❯

Software Engineering, or a related field . You have 6+ years of experience in software engineering with at least 3+ years of experience in ML/AI engineering or NLP-related software development. You are an engineer at heart, you enjoy building working systems more than writing research papers. You have strong Python skills and experience in building and maintaining More ❯

ML (MLOps), monitoring & alerting of model performance.Work with large and complex datasets (structured, semi-structured, unstructured) to derive features and insights, applying advanced ML/AI techniques (deep learning, NLP, CV, generative models, reinforcement learning) as appropriate.Choose appropriate algorithms and frameworks (supervised, unsupervised, deep neural networks, transformer architectures, etc, implement, fine-tune and optimize for latency, throughput, cost, accuracy, and … PhD in a quantitative discipline (Computer Science, AI/ML, Statistics, etc.Experience with advanced AI areas such as large language models (LLMs), generative AI, reinforcement learning, computer vision, NLP at scale.Experience with vector databases, semantic search, embeddings, RAG systems.Prior experience in regulated industries (finance, healthcare, government) with associated compliance, security, audit and explainability requirements.Experience building or leading a team More ❯

scalable, secure, and maintainable AI solution architectures that align with enterprise goals. Select appropriate AI/ML frameworks, models, and tools to build innovative solutions (LLMs, GenAI, computer vision, NLP, etc.). Lead or support the development, fine-tuning, and deployment of large and small language models. Integrate AI solutions with existing enterprise systems and business processes, ensuring policy … offshore teams to deliver cohesive and integrated solutions. Champion AI adoption across departments and help evangelize responsible AI practices. Key Requirements and Technology Experience: Key Skills; GenAI, Azure, Python, NLP Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Advanced degree or certifications in AI/ML, cloud computing, or enterprise … architecture is a plus. Minimum 5 years of experience in AI solution design and deployment, including GenAI, ML, and NLP technologies. Proven experience delivering enterprise-scale AI solutions and integrating them within existing IT ecosystems. Background in working with both structured and unstructured data across cloud and on-prem environments. Strong proficiency in Python, R, .NET, or similar programming languages. More ❯

framing, data exploration, and feature engineering to model training, validation, deployment, and monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, Reinforcement Learning) for use cases such as fraud detection, credit scoring, algorithmic trading, customer segmentation, and sentiment analysis. Stakeholder Management: Collaborate closely with business leaders (e.g. … wide range of ML techniques (supervised/unsupervised learning, time-series analysis, ensemble methods). Advanced AI: Practical experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch) for applications like NLP (Transformer models, BERT) or computer vision. Big Data Tools: Experience with big data platforms like Spark (PySpark) for handling large-scale datasets. MLOps: Familiarity with MLOps tools and concepts (e.g. More ❯

efforts, considering the roadmaps and needs of multiple product teams, the Applied AI Center of Excellence (COE), and DataOps/MLOps requirements and efforts Using your existing knowledge of NLP, topic modelling, recommendation, classification and generative AI, you will identify opportunities to improve our existing AI models Leveraging your extensive experience in model deployment and maintenance, and collaborating with the … sequence analysis, forecasting and trend analysis Experience in building and deploying reproducible, production ready AI/ML models at scale, coupled with solid data engineering skills Prior knowledge of NLP and Generative AI is essential Experience in working with large datasets from tech platforms, e commerce, or SaaS products. Experience in use of behavioural data and AI/ML methods More ❯

and agentic models into real-world forecasting and product platforms. What youll do: Lead a high-performing team of data scientists and engineers Drive AI innovation using LLMs, CV, NLP & generative models Oversee architecture of scalable, cloud-native data platforms Partner with product, tech, and commercial leaders to deliver impact Ensure strong data governance, performance, and ethical AI practices What More ❯

of commercial experience in a Data Science role building statistical & machine learning models. Have built and deployed machine learning models in production. Excellent use of Python Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects. CI/CD & MLOps experience is valued Databricks experience is valued If this role interests you and you More ❯

firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time or high-frequency environments Deep More ❯

firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time or high-frequency environments Deep More ❯

understanding of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based More ❯

understanding of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based More ❯

understanding of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based More ❯

understanding of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based More ❯

data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance, and risk management skills across both Agile More ❯