13 of 13 Natural Language Processing Jobs in the North West

/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 ...

Avaya, Genesys, Amazon Connect or NICE CXone), including VoIP, IVR, CTI and ACD You understand AI and automation in contact centres, including conversational IVR, NLP, chatbots, speech analytics, real-time agent support, and WFM/WFO tooling You and your role As a Lead Technical Architect, you'll lead … omni-channel environment, enabling seamless journeys across voice, chat and digital services. This includes designing conversational IVR and integrating AI-driven capabilities such as natural language processing and virtual agents - while ensuring services remain resilient, secure and scalable. You'll work across organisational boundaries to translate business ...

frameworks, including CI/CD and model governance Experience integrating AI into microservices, APIs, and enterprise systems Exposure to advanced AI techniques such as NLP, deep learning, and Generative AI/LLMs Strong understanding of AI governance, ethics, and compliance requirements Proven ability to work in cross-functional, stakeholder-heavy ...

model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder ...

experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration. Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.) Strong coding in Python and experience with ...

assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning and gen AI solutions to meet enterprise … essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source ...

plus 15% clearance bonus Must be willing to be full-time on-site in Manchester 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 … 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 ...

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 ...

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 ...

across Supply Operations. 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 … 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 ...

data scientists and data engineers to turn experiments and POCs into scalable, reliable services. Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines. Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management. Provide hands on technical leadership, contributing … Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures. Experience preparing data and pipelines for LLM based use cases and NLP workloads. Strong Python skills, with experience building APIs or services, for example using FastAPI. Confidence working across the full delivery lifecycle, from design through ...

pipelines aligned to business strategy Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance) Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing Collaborating closely with Data Scientists to support model development, fine-tuning, and lifecycle management Supporting data integration … Machine Learning Engineering with a strong software engineering foundation Python, SQL, and modern ML engineering practices Azure-based ML and data platforms (including Databricks) NLP and LLMs, including fine-tuning and production deployment Designing and operating MLOps pipelines in production environments Stakeholder management and working in agile, high-performing teams ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...