1 to 25 of 67 Permanent Natural Language Processing Jobs in Central London

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

used by customers daily. Key Requirements Candidates should bring a minimum of five years’ experience in machine learning engineering, with demonstrable expertise in: Natural Language Processing (NLP), information extraction, and working with large language models (LLMs) Python programming and major ML frameworks such as PyTorch or TensorFlow MLOps practices including containerisation (Docker), orchestration (Kubernetes), and CI More ❯

degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯

degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯

C#, ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor More ❯

C#, ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

EKS/GKE). - Familiarity with IaC tools such as Terraform, CloudFormation, and Helm for scalable deployments. AI/ML Fundamentals: - Knowledge of Natural Language Processing (NLP), model lifecycle management, and explainability techniques. - Ability to articulate how AI models integrate into enterprise workflows and compliance frameworks. Security & Compliance: - Strong grasp of SOC 2, ISO 27001, GDPR, and … client's supplier list for this position. Useful Keywords Technical Presales Lead, Solutions Engineering, Pre-Sales Manager, Cloud Architecture, AWS, Azure, GCP, Kubernetes, ECS, Fargate, Terraform, AI/ML, NLP, Security Compliance, SOC2, ISO 27001, GDPR, SaaS, Enterprise Software, API Integrations, Player-Coach, Technical Leadership, Proof of Value, Enterprise Presales More ❯

Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs). The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends. This is a unique opportunity for … and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world … with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern AI tools More ❯

Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs). The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends. This is a unique opportunity for … and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world … with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern AI tools More ❯

Engineers, Product Managers, and other stakeholders. The role requires strong mathematical and statistical foundations, excellent software engineering skills, and proven expertise in modern machine learning techniques, including Computer Vision, Natural Language Processing, and Deep Learning. ---------------------------------------- Key Responsibilities Design, build, and deploy advanced machine learning models and algorithms into production. Lead technical development within cross-functional teams, providing … and experience writing scalable, production-ready code. Hands-on experience with PyTorch, Transformer architectures, and Large Language Models (LLMs). Demonstrated success delivering Computer Vision and/or NLP/LLM projects into production. Solid understanding of model deployment, pipelines, and software development fundamentals. Expertise in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and More ❯

a few related things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with More ❯

a few related things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with More ❯

Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. More ❯

Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

MLflow, Docker, and cloud environments (AWS/Azure/GCP). Excellent communication — able to simplify complex technical ideas for learners of mixed ability. Bonus points for: Experience with NLP/LLMs, Computer Vision or Generative AI Formal teaching qualification or EPA assessor experience Hands-on exposure to responsible AI or prompt engineering Why join? You'll be part of More ❯

evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models … genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in More ❯

evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models … genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in More ❯

user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯