326 to 350 of 397 Natural Language Processing Jobs in England

AI Engineer - Remote London - £120,000 £160,000 + bonus & benefits My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. You ll work across the full ML lifecycle from dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into … of RAG, vector databases, embeddings, and autonomous task orchestration. Experience deploying AI models in production with MLOps best practices. AWS, GCP, or Azure. Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. If you re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at m.Please More ❯

and experimentation What we’re looking for: Strong experience leading AI implementation or transformation within a consultancy or data-focused organisation Hands-on familiarity with open-source AI platforms, NLP or data visualisation tools Proven ability to translate technical concepts into practical solutions for non-technical users A collaborative and coaching mindset, with an enthusiasm for using AI to create More ❯

and experimentation What we’re looking for: Strong experience leading AI implementation or transformation within a consultancy or data-focused organisation Hands-on familiarity with open-source AI platforms, NLP or data visualisation tools Proven ability to translate technical concepts into practical solutions for non-technical users A collaborative and coaching mindset, with an enthusiasm for using AI to create More ❯

and experimentation What we’re looking for: Strong experience leading AI implementation or transformation within a consultancy or data-focused organisation Hands-on familiarity with open-source AI platforms, NLP or data visualisation tools Proven ability to translate technical concepts into practical solutions for non-technical users A collaborative and coaching mindset, with an enthusiasm for using AI to create More ❯

and experimentation What we’re looking for: Strong experience leading AI implementation or transformation within a consultancy or data-focused organisation Hands-on familiarity with open-source AI platforms, NLP or data visualisation tools Proven ability to translate technical concepts into practical solutions for non-technical users A collaborative and coaching mindset, with an enthusiasm for using AI to create More ❯

and experimentation What we’re looking for: Strong experience leading AI implementation or transformation within a consultancy or data-focused organisation Hands-on familiarity with open-source AI platforms, NLP or data visualisation tools Proven ability to translate technical concepts into practical solutions for non-technical users A collaborative and coaching mindset, with an enthusiasm for using AI to create More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Some experience More ❯

to Have: Experience with bioinformatics or large-scale biological data (e.g., genomics, proteomics) Familiarity with orchestration tools such as Airflow or Google Workflows Experience with containerisation (Docker) Exposure to NLP, unstructured data processing, or vector databases Knowledge of ML and AI-powered data products What You'll Bring Strong problem-solving skills and curiosity about scientific or AI-driven More ❯

with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside IR35) Location: London - 3 days per More ❯

to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on … to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced … for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning More ❯

automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯

automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯

automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯

automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … of working (e.g. git/GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … of working (e.g. git/GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … of working (e.g. git/GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness More ❯

reconstruction, creation and edition processes. Review the state of the art computer vision research papers and develop prototype solutions. Develop cutting-edge software and algorithms for computer vision, image processing and deep learning models Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Essential Skills Masters … on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks – Tensorflow/Pytorch Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI or similar) Experience in Android application development More ❯