276 to 300 of 400 Natural Language Processing Jobs in England

ideas to support investment decisions. Build and maintain quantitative factor models using methods such as time series analysis, machine learning, regression, network analysis, and Natural Language Processing. Develop portfolio construction tools to extract alpha from the markets. Candidate Profile: 7-10 years relevant quantitative research experience on the More ❯

SaaS products (ideally in MarTech or AI) Strong skills in React , Python or Node.js , ML pipelines , and cloud infrastructure (AWS/GCP) Familiarity with NLP , LLMs (GPT), and AI optimisation workflows Comfortable working in an early-stage, fast-paced startup environment Bonus: experience with containerisation (Docker, Kubernetes), PostgreSQL, and content More ❯

SaaS products (ideally in MarTech or AI) Strong skills in React , Python or Node.js , ML pipelines , and cloud infrastructure (AWS/GCP) Familiarity with NLP , LLMs (GPT), and AI optimisation workflows Comfortable working in an early-stage, fast-paced startup environment Bonus: experience with containerisation (Docker, Kubernetes), PostgreSQL, and content More ❯

LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. You have hands-on experience working with LLMs, RAG architectures, NLP, or applying Machine Learning to solve real-world problems. You have a strong track record of building datasets for training and/or evaluating machine More ❯

Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like … SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate … Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to More ❯

Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like … SQL, Spark, and Databricks. Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate … Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to More ❯

Biology, preference being within Drug Discovery. Requirements: Strong proficiency in Python Experience with LLM development Experience in deploying ML models at scale Understanding of NLP Proven track record in productionizing ML models Benefits: Salary up to £160,000 Equity/share scheme 3 days onsite, 2 days remote Private medical More ❯

Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow More ❯

Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow More ❯

Software Engineering Manager | £110k - Java, Vue.js & AWS Are you ready to join an innovative tech house that leverages AI, Machine Learning, and NLP to revolutionize asset management? Imagine being part of a team that serves exciting industries like Formula 1 and you can directly impact the technical roadmap and strategy More ❯

to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep More ❯

their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy … English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms … AWS, Azure, or GCP) and their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases More ❯

their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy … English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms … AWS, Azure, or GCP) and their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases More ❯

AI Software Engineer, you will work at the intersection of software engineering and AI, focusing on building the systems for deploying, scaling and monitoring NLP and Gen AI applications in production as well as optimizing and improving the core document AI strategies. You will have the opportunity to be immersed … join the Applied AI team. iM Responsible For Delivering robust, fully tested, maintainable software that impacts end users Designing and implementing production-ready scalable NLP applications and APIs Developing monitoring and observability solutions and integration testing frameworks Conducting code reviews and providing constructive feedback to team members Ensuring the scalability … Learning, Data Science, Artificial Intelligence, Statistics or related field 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP Experience with AI/ML infrastructure, distributed training and a track record of building and deploying ML systems at scale Solid understanding of AI system More ❯

with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing & building production-grade NLP systems Integrating in-house and open-source models Collaborating with a cross-functional team of top engineers and product minds Working with tools e.g. Langchain More ❯

with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing & building production-grade NLP systems Integrating in-house and open-source models Collaborating with a cross-functional team of top engineers and product minds Working with tools e.g. Langchain More ❯

with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing & building production-grade NLP systems Integrating in-house and open-source models Collaborating with a cross-functional team of top engineers and product minds Working with tools e.g. Langchain More ❯

years of experience leading Data Science & Artificial Intelligence strategy. Proven experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning, NLP and LLM. Excellent stakeholder experience, ability to communicate and cultivate c-suite. Prior experience taking ownership of budget, recruitment, and management. Previously led product development More ❯

years of experience leading Data Science & Artificial Intelligence strategy. Proven experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning, NLP and LLM. Excellent stakeholder experience, ability to communicate and cultivate c-suite. Prior experience taking ownership of budget, recruitment, and management. Previously led product development More ❯

leadership and directly impacts multiple organization goals and beyond. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep More ❯

venture. Have fun Apply if: You have experience building, evaluating and shipping AI products. You have hands-on experience working with LLMs, Agents, RAG, NLP, or applying Machine Learning to solve real-world problems. You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to More ❯

venture. Have fun 🙂 Apply if: You have experience building, evaluating and shipping AI products. You have hands-on experience working with LLMs, Agents, RAG, NLP, or applying Machine Learning to solve real-world problems. You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to More ❯

approaches Experience Required Strong experience in AI/ML solution architecture within large-scale, complex environments Hands-on expertise with machine learning, deep learning, NLP, computer vision, and/or large language models Proven experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with tools and More ❯

Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance … to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines … code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines. Experience working with databases and SQL. Experience using Language Models to solve a range of predictive tasks involving text. Ability to quickly acquire new technical skills. Experience of working with large data sets More ❯

at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data … We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries More ❯