1 to 25 of 54 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 ❯

pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

including: Clustering techniques (e.g., k-medoids, hierarchical clustering) Predictive modelling (e.g. Classification and Regression Trees (CART), Linear Regression, Random Forest, Gradient Boosted Models) Natural Language Processing (NLP) with a focus on social listening and topic modelling Integration of generative AI and LLMs in qualitative and survey research processes Inferences about subpopulations (Small Area Estimation (SAE), Multilevel Regression … with subject matter experts on policy but will be expected to quickly gain a basic understanding of new policy issues. You will combine advanced data science techniques (machine learning, NLP, data engineering) with robust quantitative research methods (survey analysis, causal inference, MRP) to produce insights that directly inform social policy. Leadership: You will be joining Britain's largest independent social … Computer Science, Statistics, etc.) or demonstrated experience through professional development, other learning, or Bachelor's degree with additional equivalent experience. Experience with practical application of clustering, predictive modelling, and NLP techniques, with familiarity with at least one major machine learning library (eg. Scikit-learn, statsmodels, spaCy, mlr). Proficiency in Python; knowledge of R or SQL is a plus. Familiarity More ❯

an organisation's information landscape, turning data science into real world decision support. InformedDECISION, a first-of-its-kind Artificial Intelligence (AI) and Natural Language Processing (NLP) platform that allows organisations to make better, faster, more informed decisions. As Sales Executive, you will work with the Product Business Development Manager and Product Team, playing a vital role More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive analytics to natural language processing, providing variety and challenge in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯

years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯

passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. 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 ❯

conducting hands-on workshops and training sessions. As an AI evangelist, you’ll ensure you’re up to date with all the latest advancements in AI, machine learning and natural language processing tech. What you’ll bring... You’ll have excellent prior experience in creating and delivering engaging training modules across either Generative AI, ML or Conversational 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 ❯

. Excellent problem-solving and communication skills. Nice to Have Experience with MLOps tools and practices. Knowledge of data engineering and ETL pipelines. Exposure to deep learning frameworks and NLP techniques. IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor performance. Offer training and support on AI tools and best practices. More ❯

to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯