8 of 8 Contract Natural Language Processing Jobs

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel to the office The Role … support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights ...

Contribute to scalable, cloud-native application development Your work is expected to span across: Artificial Intelligence Machine Learning Natural Language Processing (NLP) Cloud-native engineering Large-scale data processing Modern software engineering practices Platform engineering and automation The Environment You'll be working within ...

What You'll Be Doing As an Applied Data Scientist, you will: Work on complex challenges across AI, Natural Language Processing (NLP), and Machine Learning Build, train and deploy models using tools such as: PyTorch TensorFlow scikit-learn Apply modern data science techniques to real-world, mission … Strong experience in applied data science, machine learning or AI Hands-on experience with frameworks such as PyTorch, TensorFlow or sklearn Experience working with NLP or advanced analytics (desirable) Ability to move from research and prototyping into production environments A mindset suited to experimentation, innovation, and continuous learning Security Requirements ...

court pack analysis processes Lead the requirements gathering and specification for an AI-driven claims analysis tool Design and implement advanced machine learning and natural language processing models Develop and deploy a functional Minimum Viable Product (MVP) for automated court pack analysis Drive user training, change management ...

looking for: Strong commercial Data Science/ML experience. Python and cloud ML platforms (GCP/Vertex AI or AWS SageMaker) Experience with NLP/LLM use cases. Ability to work autonomously and deliver business impact. Apply if you're a pragmatic ML Engineer who enjoys building solutions that directly ...

verification, wake-word/keyword spotting, and audio enhancement. You will contribute to applied innovation across speech and audio signal processing, ASR and NLP, turning research and experimentation into measurable production improvements. You will work closely with engineers, data scientists, product stakeholders and third-party partners to deliver reliable … example, AWS/Azure components, Lambda-style services, Kubernetes, and observability tooling) will be beneficial. Experience in voice-related ML domains (speech, ASR, NLP, speaker verification, audio enhancement) is highly desirable, as is an analytical mindset with evidence of measurable impact. Familiarity with production applications of Generative AI is beneficial ...

umbrella company) Key Responsibilities * Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes * AI & Analytics: Support development based on AI/ML-based tools for decision support … process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) * Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) * Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) * Familiarity with ...

driven data pipelines and integrations to enable a QAS-powered response suggestion capability embedded in Salesforce Service Cloud. The role focuses on scalable data processing, LLM integration, and continuous model improvement using production telemetry. Responsibilities Design and implement Salesforce QAS integration architecture Build and optimize data pipelines supporting … Engineering Practices Strong understanding of: distributed systems performance optimization observability (e.g. Langfuse, logging/metrics) Nice-to-Have Experience with: Salesforce Service Cloud integrations NLP/GenAI applications in customer service Exposure to: Amplitude or product analytics tools Knowledge of regulated environments (banking/capital markets) Soft Skills Ability ...