151 to 175 of 290 Natural Language Processing Jobs

communicator who builds trust quickly, challenges constructively, and leads with empathy. Comfortable driving delivery in AI-enabled product teams, including workstreams that use LLMs, NLP, or data-driven decisioning systems. Key Attributes Pragmatic and outcome-focused, not process-driven. Data- and AI-aware - able to guide squads and stakeholders ...

Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. … right in if you: Strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks. Solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. Comfortable at scale: distributed ...

management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience of training and developing AI models including Large Language Models. ...

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling … infrastructure as code Exposure to Generative AI and large language models Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Help ...

Python, machine learning frameworks, and Generative AI/LLM components. Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams. MLOps: Implement model deployment, monitoring, testing, and lifecycle management using standard CI/CD and containerized workflows. Architecture: Contribute to technical design decisions … Experience with MLOps platforms (e.g., MLflow, SageMaker) or agentic AI frameworks. Familiarity with secure development practices or regulated/high-compliance environments. Background in NLP, computer vision, or data engineering platforms. #J-18808-Ljbffr ...

algorithms in Python. Candidates with a Master's or PhD in Computer Science and 4+ years of relevant experience, particularly in deep learning and NLP, are encouraged to apply. The position offers competitive salary, equity, and hybrid working options. #J-18808-Ljbffr ...

NLP PEOPLE is seeking an Applied AI/ML Lead – Vice President – Machine Learning Engineer to advance AI in financial services. Located in Greater London, the role combines technical leadership with responsibilities in building scalable data science capabilities and collaborating with software engineering teams. Ideal candidates have 5+ years ...

libraries (NumPy, Pandas) and a deep‐learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. You bring a leadership mindset, focused on growing ...

prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research ...

operating in evolving environments where priorities can change quickly Strong communication and stakeholder management skills Desirable experience includes: Technical product management background Exposure to NLP, machine learning or AI technologies Experience within insights, research, advertising, media, analytics or data products Startup or scale-up experience Experience working with consumer ...

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 ...

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 ...

with Threat Intelligence or Cyber Data Domains , including structured and unstructured sources such as text, imagery, and network telemetry. Knowledge of AI/ML, NLP, and Data Analytics , particularly as applied to extraction, classification, or clustering. Strategic Prioritizer who can focus limited resources on the most impactful initiatives. Excellent Communicator ...

work at the forefront of machine learning and Generative AI, developin intelligent products that make a genuine difference. From predictive analytics to Large Language Models, you'll play a key role in shaping solutions that help businesses operate more safely, efficiently and intelligently. You'll join a collaborative team … help shape technical direction You'll likely have experience with: Python and SQL TensorFlow, PyTorch or similar ML frameworks Large Language Models and NLP AWS or Azure Predictive modelling and machine learning Building production-ready AI applications Communicating technical concepts to both technical and non-technical stakeholders Experience with ...

Paternoster Squaretime type: Full timeposted on: Posted 17 Days Agojob requisition id: R0118411Are 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 … 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 ...

teams to study user behavior, run A/B experiments, and solve problems using statistics and causal inference techniques. Responsibilities include building ML/NLP models at production scale, designing end-to-end data pipelines, and mentoring data scientists and engineers. #J-18808-Ljbffr ...

Content Product Analytics. The role emphasizes understanding user behavior, experimentation, and causal inference to inform product decisions. The successful candidate will design ML/NLP models, build scalable data pipelines, and mentor a team of scientists and engineers while collaborating with cross-functional partners to influence roadmaps and dashboards across ...

with cross-functional teams to understand user behavior, run experiments, and apply statistics to improve engagement and bookings. You will develop production ML/NLP models, design end-to-end data pipelines, and mentor peers while collaborating with Product and engineering leadership to shape roadmap through data storytelling. #J ...

operate across UK sites. The role requires a PhD or MSc preferred, strong Python and ML tooling, and experience in AI/ML pipelines, NLP, CV, and LLMs. #J-18808-Ljbffr ...

NLP PEOPLE is searching for a Principal Machine Learning Engineer in Greater London. In this pivotal role, you'll provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems ...

founding teams. Hands‐on experience with the core stack: Node.js/TypeScript, Python, React, and AWS Serverless. Practical experience applying LLMs or large‐scale NLP models to real product problems, including structuring non‐deterministic outputs. Experience building data infrastructure and schemas for reliable, auditable downstream use. Comfort working directly with ...

developing innovative software platforms used by organisations across the UK and internationally. Operating at the forefront of Artificial Intelligence, SaaS, Cloud Computing, Machine Learning, NLP and Enterprise Software , they are investing in the next generation of commercial talent. This is a structured graduate programme designed for ambitious individuals who want ...

expertise. AI/ML Expertise: Deep subject‐matter expertise in applying modern AI/ML techniques to solve real‐world business problems. Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets. Domain Knowledge: A strong understanding of core banking, financial technology ...

expertise.*** **AI/ML Expertise:** Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems. Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets.* **Domain Knowledge:** A strong understanding of core banking, financial technology ...

such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Experience, Skills and Competencies We are looking for candidates with experience in one or more Data & AI disciplines. Candidates … Science, AI and Advanced Analytics Applying statistical, predictive or machine learning techniques to business problems using Python or R. Experience across forecasting, classification, optimisation, NLP or GenAI-enabled analysis. Translating model outputs into business recommendations. Awareness of model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management ...