1 to 25 of 69 Remote Natural Language Processing Jobs in London

segmentation consultancy. We use data, insights, and proprietary technology to create customer-centric strategies that drive real business impact. We have a long history of innovation in machine learning, natural language processing, and generative AI. About STRAT7 We are part of STRAT7, a global strategic insight and customer analytics group. STRAT7 specializes in customer-centric growth, helping … volume of work, while AI and analysis of unstructured data are our fastest-growing areas. We seek a Senior Data Scientist skilled in cluster analysis, preferably with knowledge of natural language processing, to consult on our specialized projects involving advising, designing, conducting, and leading survey analytics projects. This role offers an exciting opportunity for someone eager to … etc. Beneficial Skills Experience with conjoint analysis and other pricing methods. Knowledge of GDPR and data compliance. Experience working with third-party data vendors and APIs. Some familiarity with NLP libraries. Other Information At STRAT7 Bonamy Finch, we foster a culture of excellence, collaboration, and mutual trust. We offer flexible, hybrid working options, a comprehensive benefits package, and a supportive More ❯

helps our staff tackle violence in prisons. We regularly deliver insights that directly influences corporate, operational and policy decisions. Our projects span the data science spectrum including machine learning, natural language processing, automation, advanced visualisation and optimisation. What you'll do You will be leading a team of 1-2 data scientists, working within wider multidisciplinary teams … vouchers. Free membership to BCS, the Chartered Institute for IT. Some offices may have a subsidised onsite Gym. Person Specification Strong knowledge of data science (e.g. machine learning and natural language processing) and experience leading teams to deliver data science projects/products, ideally in cloud computing environments Strong programming knowledge and experience delivering projects using Python … be sent to candidates before the interview. Should we receive a high volume of applications, a pre-sift based on strong knowledge of data science (e.g. machine learning and natural language processing) and experience leading teams to deliver data science projects/products, ideally in cloud computing environments will be conducted before the sift. Should you be More ❯

large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product … RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi … agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication More ❯

proof-of-concept to beta-product phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of Natural Language Processing (NLP), specifically in compensating for Large Language Model limitations. You will also have the opportunity to innovate and contribute to algorithm development. Dr G.A.McHale, Technical Director, AI & Data Science About … the Team The team is led by someone with significant AI experience in bio-inspired architectures, reinforcement learning, expert systems, scheduling, meta-heuristics, robotics, and natural language processing (including LLMs). We have recruited an experienced scientific computing developer with a strong mathematics background in theoretical physics, responsible for distributed systems and GPU optimisation of AI algorithms. … by competence in other languages (e.g., C++ or Java). Experience in electronics or communications hardware is a plus. Experience in writing and filing patents is appreciated. Experience in NLP outside of LLMs is desirable but not mandatory. You should be highly motivated and willing to learn new skills as needed. Contract type Regular Worker type Employee What We Offer More ❯

for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models … transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience. You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats. You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and … publishing processes. You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents that can execute complex research workflows through natural language interaction-from protein structure analysis to experimental design. Architect end-to-end reasoning systems that integrate More ❯

test environments. Use Git, CI/CD tools, and containerization (e.g., Docker) to maintain codebase quality. Applied AI Domains Work on projects involving Natural Language Processing (NLP), Computer Vision, Generative AI, or Recommendation Systems. Support annotation, feature engineering, and augmentation tasks where necessary. Write clear, well-organized documentation for code, models, datasets, and workflows. Participate in team More ❯

the forefront of applied research in an industry setting?Thomson Reuters Labsin London is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What doesThomson Reuters Labsdo? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational … Reuters' LegalTech Products, includingCoCounsel Core, 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, prompting workflows, model training and … of Lead Applied Scientist if 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, Professional experience scaling yourself and More ❯

environments. Use Git, CI/CD tools, and containerization (e.g., Docker) to maintain codebase quality. Applied AI Domains Work on projects that involve Natural Language Processing (NLP), Computer Vision, Generative AI, or Recommendation Systems. Support annotation, feature engineering, and augmentation tasks where necessary. Documentation & Collaboration Write clear, well-organized documentation for code, models, datasets, and project workflows. More ❯

Scientist, you will be responsible for delivering client-ready healthcare-focused AI and data science projects. This role involves leading the technical delivery of specialist AI projects, including large language models, natural language processing, knowledge graphs, semantic data modelling and advanced analytics. You will support project scoping, technical planning and the development of innovative data solutions. More ❯

encourages experimentation and autonomy, backed by global infrastructure and top-tier clients. The Role You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment, all while interfacing with … classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What You’ll Bring Strong hands-on data science and ML … and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks & Benefits Competitive base salary, up to More ❯

encourages experimentation and autonomy, backed by global infrastructure and top-tier clients. The Role You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment, all while interfacing with … classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What You’ll Bring Strong hands-on data science and ML … and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks & Benefits Competitive base salary, up to More ❯

to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong More ❯

to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong More ❯

or related roles. Proficient in Python programming language. Solid understanding of machine learning algorithms, tools, and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Ability to work independently and collaboratively with multi-functional teams … ML tools such as Mlflow for model lifecycle management. Experience in building ML models in production using AWS ecosystem, especially ML related services such as SageMaker. Familiarity with large language models (LLM). Proficiency in multiple programming languages. Understanding of containerization technologies like Docker and orchestration tools like Airflow. We'vegot your back... We offer a range of total More ❯

writing decks and proposals, participating in calls and meetings, and representing InstaDeep in conferences/events. Requirements: At least 2 years of experience in machine learning, and deep learning (natural language processing and computer vision) in industry. Master, PhD degree or equivalent experience in applied mathematics, computer science, bioinformatics or related scientific fields. Proficiency in software engineering More ❯

Contract options available Start Date: Flexible? About the RoleWe’re hiring a remote AI Engineer with strong Python skills to help build intelligent systems across domains like machine learning , natural language processing , and generative AI . You’ll be part of a collaborative team working on real-world applications, from prototyping to production deployment.This is a hands … Strong proficiency in Python and its AI/ML ecosystem (e.g. NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) Experience with machine learning model development , training, and deployment Familiarity with LLMs , NLP , or computer vision techniques Solid understanding of software engineering principles and version control (Git) Experience working in cloud environments (AWS, GCP, or Azure) Ability to work independently and communicate effectively More ❯

options available Start Date: Flexible About the Role We're hiring a remote AI Engineer with strong Python skills to help build intelligent systems across domains like machine learning , natural language processing , and generative AI . You'll be part of a collaborative team working on real-world applications, from prototyping to production deployment. This is a … Strong proficiency in Python and its AI/ML ecosystem (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) Experience with machine learning model development , training, and deployment Familiarity with LLMs , NLP , or computer vision techniques Solid understanding of software engineering principles and version control (Git) Experience working in cloud environments (AWS, GCP, or Azure) Ability to work independently and communicate effectively More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

Bid and Proposal Writing with generative AI AutogenAI is a leader in Generative AI SaaS, transforming how organisations create and optimise winning bids, tenders and proposals through cutting-edge natural language processing technology. We are one of the fastest-growing AI companies in the world, expanding rapidly to meet the increasing demand for AI-driven solutions across … sectors. Our innovation stems from a belief that language technology will revolutionise business communication over the next decade. We empower our clients to grow faster and more efficiently by delivering bespoke AI language engines tailored to their needs, saving time, improving content quality, and boosting win rates in highly competitive markets. We drive AutogenAIs growth by fostering a … can understand and build upon. Technical Environment: Familiarity with modern development tools and cloud infrastructure; experience with DevOps or infrastructure-as-code is a plus Preferred Qualifications: AI/NLP Experience: Exposure to LLMs or AI-driven products is a bonus, but not required. Product Collaboration: Experience working closely with Product and Design functions to iterate on user-facing features. More ❯

qualification experience (PQE) or equivalent legal experience. Strong legal research and writing skills. A collaborative mindset and ability to work in agile environments. Interest in AI, machine learning, or natural language processing (prior experience is a plus, not a requirement). Proficiency in tools like Excel and PowerPoint. Work in a way that works for you We More ❯

appetite to learn about new technology and customers These are not essential, but it would also be great if you had: - Familiarity with Artificial Intelligence concepts (eg, Machine Learning, Natural Language Processing More ❯

changing direction of projects and strategies Relevant Workday training and Workday Pro Certifications Additional experience preferred: Experience with data analytics, reporting, or business intelligence tools. Knowledge of machine learning, natural language processing, or other AI technologies Experience working with additional tools in parallel to Workday (e.g. FreshService, Jira, Cornerstone, Slack, gSuite, Confluence, SmartRecruiters) If you have a More ❯

multiple organisations for collaborative tasks. Detail oriented with excellent prioritisation, and multitasking abilities. Ability to work collaboratively with minimal supervision. Familiarity with AI technologies, such as ChatGPT or similar natural language processing model Experience in the insurance and/or consulting or wider financial services sector. Why join our team: We help you be your best through More ❯

s or Master s in CS, Engineering, Data Science, or similar 1 5 years experience in AI/ML roles or relevant hands-on projects Nice to Have (Bonus) : NLP, Computer Vision, or Reinforcement Learning experience Knowledge of MLOps tools (MLflow, Kubeflow, etc.) Familiarity with SQL or Big Data tools (e.g., Spark) ️ Please apply only if you meet the skill More ❯

Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯