23 of 23 Permanent Natural Language Processing Jobs in Berkshire

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. … Computer Science, Machine Learning, Mathematics, Statistics, or a related field Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing Hands-on experience training, fine-tuning, and deploying LLMs Experience working with vector databases, search indices, or data stores for retrieval use cases Significant ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

CoCounsel Drafting, Practical Law, HighQ, Legal Tracker, Document Intelligence, Contract Express, Due Diligence, and others. About The Role Lead Applied Scientists are experts in NLP/IR/ML/GenAI, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques … your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience, 7+ years of hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications ...

Learning Model training/explanation, bias detection, evaluation metric analysis Deep Learning Neural net architecture design, backpropagation walkthroughs Natural Language Processing (NLP) Text classification, summarization, sentiment analysis Computer Vision Image labeling, object detection, image captioning MLOps/Deployment Model lifecycle support, pipeline design, monitoring/rollback flows ...

Learning Model training/explanation, bias detection, evaluation metric analysis Deep Learning Neural net architecture design, backpropagation walkthroughs Natural Language Processing (NLP) Text classification, summarization, sentiment analysis Computer Vision Image labeling, object detection, image captioning MLOps/Deployment Model lifecycle support, pipeline design, monitoring/rollback flows ...

120k total compensation About Us We're an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker — but it's time to take … Infrastructure Lead — someone with the technical depth and vision to architect, implement, and scale an environment capable of supporting multiple ML and NLP initiatives across the business. The Role As our first senior AI hire, you'll take ownership of designing and building the foundation of our AI ecosystem. ...

Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus … technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine ...

specific requirements. Technical Execution: Create, configure, and administer Relativity workspaces, Brainspace environments, and other eDiscovery applications. Quality & Compliance: Conduct quality control checks on data processing and production deliverables to ensure accuracy, consistency, and compliance with project specifications. Production Support: Generate custom load files, metadata, native files, and text files … workflow configuration. Experience integrating or evaluating AI-powered legal tools (e.g., contract analysis, document review, data classification, or legal research applications). Production & Processing Skills: Strong knowledge of eDiscovery processing tools (Relativity, Nuix, LAW) and demonstrated experience in creating complex document productions. Analytics Proficiency: Proven experience using analytics ...

Kanban environments with cross-functional teams AI/ML curiosity or hands-on experience – Interest in or exposure to machine learning, generative AI, natural language processing, or intelligent automation technologies Financial services background – Experience with lending workflows, regulatory processes, financial products, credit ratings, and financial analysis ...

/or R for data analysis, modelling, and visualization. Experience working with LLM APIs and building LLM-based applications and frameworks. Progressive experience with natural language processing, including topic modelling, text classification, and summarization. Experience in taking part in cross-functional technical projects. Ability to write clean ...

Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere's advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining … improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere's mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation ...

learning sector Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn Strong understanding of machine learning, natural language processing, and data analytics Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI solutions Ability to work independently ...

Communication & Storytelling Strong written and verbal communication skills with the ability to translate technical details into compelling customer narratives. Fluent in English; additional European language(s) a plus (e.g., German, French, Dutch). What You Can Expect Regional Impact: Influence how organizations across EMEA adopt identity and authentication security. … available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here ...

Communication & Storytelling Strong written and verbal communication skills with the ability to translate technical details into compelling customer narratives. Fluent in English; additional European language(s) a plus (e.g., German, French, Dutch). What You Can Expect Regional Impact: Influence how organizations across EMEA adopt identity and authentication security. … available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

anyone in the world. Are you ready for this challenge? What You'll Be Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation ...

communication and stakeholder engagement; 3+ years leading teams. Nice to Have OpenAI API experience; LLM deployment; low/no-code AI orchestration; OCR/NLP; Azure Functions/Kubernetes/Terraform; automation tools (n8n, Make.com, Zapier); HR tech experience; medallion architecture; Azure certifications. Benefits Work from Anywhere Policy: Enjoy ...

physics, computer science or similar ). Expert knowledge of AI, ML and statistical methods, and their application across some of the following domains (e.g. NLP, images, audio, graphs, time series, tabular data). Several years' experience working as a data scientist in industry or similar environment. Good knowledge of python ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

Research Division Of Thomson Reuters. We Are Focused On Research And Development, With a Particular Focus On Advanced Algorithms And Training Techniques For Large Language Models (LLMs). We Are Building a Strong Foundation Of Research Capabilities Across Different Areas And Are Looking For Scientists Who Participate In Designing … Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings ...

environment. Demonstrable track record of successfully sourcing and hiring for AI/ML roles (e.g., Machine Learning Engineer, Data Scientist, AI Researcher, NLP Engineer, Computer Vision Engineer). Passion for technology and a strong understanding of the AI/ML domain, including key skills, tools, and industry trends. Exceptional customer ...

Engineer Location: London, UK (Hybrid) Type: Contract Position Please find below JD: Key Responsibilities: - Build and optimize AI/ML pipelines for predictive modeling, NLP, and generative AI applications. - Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. - Design and implement Big Data solutions using Hadoop, Spark … deploy ML models (supervised, unsupervised, tree-based, ensemble methods). - Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. - Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. - Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows. - Collaborate ...

Contract duration: 1 year Type of Contract : Inside IR35 Location: London Key Responsibilities: - Build and optimize AI/ML pipelines for predictive modeling, NLP, and generative AI applications. - Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. - Design and implement Big Data solutions using Hadoop, Spark, PySpark … deploy ML models (supervised, unsupervised, tree-based, ensemble methods). - Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. - Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. - Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows. - Collaborate ...