151 to 175 of 286 Natural Language Processing Jobs in London

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 ...

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 ...

Git. Solid understanding of mathematics, probability, and statistics. Deep knowledge in a range of machine learning techniques (Supervised and unsupervised). Understanding of Large Language Models, Generative AI frameworks, prompt engineering, fine tuning, resource augmentation. Strong communication and data presentation skills with the ability to build convincing recommendations … experience of one or more of the below areas): Experience of using R. Familiar with, preferably experienced in, Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding). Experience developing Generative AI projects. Experience of exercising software engineering best practices. E.g. test-driven development, smart data ...

/AI solutions and prototype robustly. The role focuses on informing policy through cutting-edge data science. The AA team applies generative AI, NLP, agent-based models and network analytics, encouraging collaborative problem solving and scalable deployments across the Bank's data platform. #J-18808-Ljbffr ...

available, with a salary range £45k to £95k DoE plus a 15% clearance bonus. The role requires hands-on expertise in machine learning, GenAI, NLP and cloud/DevOps tools, with opportunities to work on public and private sector projects and lead client engagements. #J-18808-Ljbffr ...

SaaS platforms . Strong understanding of Voice of the Customer, feedback systems, and customer experience analytics . Experience working with AI/ML, NLP, or data visualization products is a strong plus. Proven ability to turn customer insights into clear, measurable product outcomes. Excellent communication and stakeholder management skills; comfortable ...

plus.* Prior work experience in one or more of the following a plus: quantitative asset management, financial modelling, programming (Python, SQL), AI (AI workflow, NLP)* Intellectual curiosity and demonstrated ability to rapidly learn and apply emerging technologies, data sources, and analytical approaches.* Product and innovation mindset with comfort iterating ...

e.g. SQL/no-SQL, Kubernetes (or similar containerised environments), etc. Ability to self-organise and work independently. Nice to haves Experience working with NLP/LLMs or other AI/ML. An ML, statistics, or mathematics background or experience. Major work on infrastructure-heavy projects, such as complex data ...

product use. Develop, compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data. Publish curated datasets, features ...

deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms. You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework ...

Microsoft, Oracle, or similar platforms. Background in change management, organizational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments ...

Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Unleash Your Potential When you join Salesforce ...

practices, such as Docker, Terraform and MLFlow Confidence influencing and communicating with stakeholders across technical and non-technical teams Ideally, exposure to cloud infrastructure, NLP or large language models (such as fine-tuning, RAG or agents), graph technologies, or experience in the transport sector or with geographic information systems ...

experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors. Experience … training and developing AI models including Large Language Models. Ability to produce high-quality scientific (academic style) writing for internal & external publication. Problem solve with high levels of autonomy, with some input from technical leaders. Be a self-starter, being pro-active in finding solutions. Desirable Skills & Experience PhD. ...

containerised development. Experience with embeddings, vector databases, RAG or semantic search, and with evaluating LLM outputs for quality, accuracy, cost and reliability. Experience processing large volumes of text or unstructured content. Nice to have Any hands‐on AWS experience (EC2, ECS, S3, Lambda, CloudWatch, IAM, infrastructure‐as‐code … plus. You will also develop this on the job, increasingly by driving AWS through Claude Code. Foundational machine learning knowledge, and classic NLP such as classification, clustering or model selection. Experience with hypothesis‐led data science. A technical degree in Computer Science, Software Engineering, Data Science, Machine Learning, Maths, Physics ...

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 ...

FinTech clients globally. You will guide ML/AI initiatives, collaborate with clients and internal teams, and own the AI/ML strategy. Strong NLP/LLM experience and deep Python/Azure skills are essential for success. #J-18808-Ljbffr ...

drive innovation through generative AI applications tailored to complex financial workflows. The ideal candidate will have strong Python proficiency and hands-on experience in NLP, along with a solid understanding of the GenAI landscape. This role offers substantial growth opportunities and a hybrid working model, making it perfect for those ...

drive end-to-end AI engagements, translating business challenges into data-driven insights, and stay ahead of emerging AI methodologies. A strong background in NLP/ML and cloud platforms is required. #J-18808-Ljbffr ...

Platform Delivery department. The role focuses on designing, training, and productionising ML models across multi-source datasets, with emphasis on embedding/RAG workflows, NLP and scalable services integrated into the OneView platform. The ideal candidate will have 3–5+ years in ML engineering, strong Python skills, experience with modern ...

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 ...

with cross-functional teams, including product development, engineering, and client services, to align data initiatives with business goals. Design, implement, and optimize ML and NLP models to enhance our privacy-focused product offerings and improve client experiences. Maintain comprehensive documentation of data processes, models, and analytical methodologies. Job requirements – Software ...

such as DuckDB. Nice to have Quantitative research background, academic or industry. Index construction and classification taxonomies. Working with model-derived inputs, understanding that NLP-generated exposures carry measurement error and revise over time. Task orchestration (Dagster or Airflow) and S3-based data flows. AWS fluency and CI/ ...

ambiguity and define clarity Data & Technical Depth Experience with data models, pipelines, and analytics systems Familiarity with AI/ML or data extraction (e.g., NLP) preferred Comfortable working closely with engineering teams Execution Bias for action; able to go from idea to shipped product Strong prioritization and roadmap management Stakeholder ...