226 to 250 of 388 Natural Language Processing Jobs in England

in biological sciences or pharmaceutical industry Preferred Skills Experience with Docker and multi-container architectures Exposure to scientific datasets (e.g. genomics, proteomics) Familiarity with AI/ML deployment, especially NLP tools (LangGraph, AutoGen) Understanding of AI/ML evaluation and iterative improvement Some experience with frontend development (e.g. React) If this opportunity aligns with your experience and interests, please apply More ❯

in biological sciences or pharmaceutical industry Preferred Skills Experience with Docker and multi-container architectures Exposure to scientific datasets (e.g. genomics, proteomics) Familiarity with AI/ML deployment, especially NLP tools (LangGraph, AutoGen) Understanding of AI/ML evaluation and iterative improvement Some experience with frontend development (e.g. React) If this opportunity aligns with your experience and interests, please apply More ❯

experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication skills and stakeholder collaboration experience. Desirable Microsoft Certified: Azure AI Engineer Associate . For More ❯

experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication skills and stakeholder collaboration experience. Desirable Microsoft Certified: Azure AI Engineer Associate . For More ❯

experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication skills and stakeholder collaboration experience. Desirable Microsoft Certified: Azure AI Engineer Associate . For More ❯

you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested More ❯

you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested More ❯

you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to Chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to Chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to Chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to Chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to chinmaye.ramnath@james-chase.com More ❯

Docker, GitHub Actions, or Terraform. Strong problem-solving mindset, comfortable with full-stack development, and collaborative in a cloud-native environment. Microservices, event-driven architecture, data scraping,LLMs/NLP experience is a bonus. Ready to develop cutting-edge data platforms? Apply now or send your CV to Chinmaye.ramnath@james-chase.com More ❯

to non-technical stakeholders. Facilitate workshops and knowledge-sharing sessions with programme teams. Required Skills & Experience Strong understanding of AI/ML concepts, frameworks, and deployment models. Familiarity with NLP, predictive analytics, and generative AI capabilities. Proven experience in consulting or advisory roles within AI or technology strategy. Ability to present complex technical ideas in business-friendly language. Experience defining More ❯

ML Frameworks: Strong experience deploying ML frameworks in a major cloud environment (e.g., GCP or AWS is preferred). ML Expertise: Strong understanding of core Machine Learning domains, including NLP, computer vision, and transformer models . Project Leadership: Proven experience in leading projects end-to-end and strong communication skills. Startup Experience: Experience at a strong startup or scale-up More ❯

in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise in NLP and LLMs , strong Python engineering skills , and real-world experience shipping and supporting models in production . You should be comfortable owning delivery timelines and ensuring that solutions meet business … production-ready AI systems. Lead the end-to-end development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users. Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability. Continuously improve model quality through tuning, evaluation, and feedback from production usage. Evaluate third … Collaborate with engineering and business partners to define requirements, shape roadmaps, and ensure successful delivery of AI products. What you'll bring: Essential Skills Extensive hands-on experience applying NLP and LLMs to real-world problems, with a consistent track record of shipping models to production and supporting them post-deployment. Strong Python programming skills, including object-oriented design and More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

techniques to communicate analytical findings in a compelling and accessible way. Monitoring and fine-tuning model performance to ensure continuous accuracy and reliability. Using advanced machine learning techniques (including NLP, deep learning, and time-series forecasting) to solve complex business challenges. Contributing to the development of robust MLOps processes for deployment, monitoring, and retraining of models. About You You're … skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch). A broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian inference, time-series forecasting, and recommendation systems. Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and exposure to tools like Databricks or Dataiku. More ❯