126 to 150 of 360 Natural Language Processing Jobs in England

search. We're looking for 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 on a specific project critical More ❯

field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to be More ❯

investment activity); and (4) tracking what their competitors are doing. Our core technology is built on real-time analytics running on private and public company data. This fuels our Natural Language Processing AI with 50M+ companies and 10B+ aggregated data points, allowing us to be 3x-5x better than alternatives. We are proud to count amongst our 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 ❯

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 ❯

the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key 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 ❯

machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and modern development practices. Interest in deploying models into real-world applications. What 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 ❯

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 ❯

measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage Nice to Have Experience with NLP for customer feedback or support ticket analysis Exposure to MLOps for model deployment and monitoring Familiarity with tools like Amplitude, Mixpanel, or Google Analytics Why Join Us? Shape data-driven More ❯

measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage Nice to Have Experience with NLP for customer feedback or support ticket analysis Exposure to MLOps for model deployment and monitoring Familiarity with tools like Amplitude, Mixpanel, or Google Analytics Why Join Us? Shape data-driven More ❯

Excellent communication & stakeholder management skills, with the ability to drive value via end-to-end ownership of business use cases related problems. - Early experience of new tech - such as NLP & generative AI (familiarity with potential use cases, value & concerns - ethical AI, information security). - Front end development (GUI) experience with the ability to leverage the Azure Databricks platform (Databricks Apps More ❯

working in a microservices architecture (Go Lang experience is a plus). You have extensive experience with real-time ML applications, reinforcement learning, graph-based models, and/or NLP . You can communicate complex ML concepts to both technical and non-technical audiences , influencing senior stakeholders and executives. You thrive in ambiguous, fast-changing environments and have a proactive More ❯

delivering real business value to Linklaters and its clients. Key responsibilities: Assist in developing, testing, and refining data science models using established methods such as classification, regression, clustering, and natural language processing. Work closely with other data scientists, legal practice teams, and business stakeholders to understand requirements and contribute to use case development. Support the preparation and cleaning More ❯

and cross-functional teams. Champion ethical AI principles, ensuring fairness, transparency, and robustness in deployed models. What we need you to have: A deep technical grounding in machine learning, NLP, computer vision, or autonomous systems,ideally with hands on experience in deep learning frameworks. Proven track record of leading AI initiatives from R&D to production, including delivery of generative More ❯

new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data More ❯

statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal More ❯

new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data More ❯

presentation and communication skills - able to use a variety of data visualisation techniques to easily explain the results of your analysis to a non-technical audience knowledgeable in GenAI, NLP and other Deep Learning techniques a plus (We know it's tough, but please try to avoid the confidence gap. You don't have to match all the bullet points More ❯

on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative AI Testing/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge of any More ❯

Team You'll be part of the Information Technology & Geospatial (ITG) team-a 35-person unit of scientists and product engineers working across: Machine Learning & Statistical Signal Processing NLP, Knowledge Representation, & Graph ML Geospatial Technology & Distributed Systems Autonomy, Reinforcement Learning, & Edge AI The team operates within a larger Advanced Technology division , known for pioneering next-generation AI/ML … UK EYES ONLY) Bonus Experience (Highly Desirable): Radar, sonar, RF, or electromagnetic signal processing Electronic warfare, CEMA, or distributed sensing Space-domain awareness, autonomous systems, or edge ML NLP, knowledge graphs, generative AI or graph-based ML Academic publications, patent applications, or conference experience Why This Role? Join one of the UK's most forward-looking AI/ML More ❯

PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus: Experience with NLP, computer vision, recommendation systems Why Apply: 100% remote UK-based Work with cutting-edge US AI teams Access to multiple roles with one application Fast, free hiring process Some roles More ❯

PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus: Experience with NLP, computer vision, recommendation systems Why Apply: 100% remote UK-based Work with cutting-edge US AI teams Access to multiple roles with one application Fast, free hiring process Some roles More ❯

PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus: Experience with NLP, computer vision, recommendation systems Why Apply: 100% remote UK-based Work with cutting-edge US AI teams Access to multiple roles with one application Fast, free hiring process Some roles More ❯