A leading AI-driven technology company is seeking a Machine Learning Engineer to develop practical AI solutions for complex challenges in the financial services industry . This role involves working with document and conversational data , leveraging Large Language Models (LLMs) to create scalable, high-performance AI applications. This is a hands-on role where you'll develop, implement, and optimise NLP and Generative AI models, ensuring they deliver real-world business value. You'll work on everything from prompt engineering and model fine-tuning to deployment and performance monitoring in cloud environments like AWS and Azure. Location: Fully Remote Salary: £60,000 - £65,000 per annum benefits Key Responsibilities AI Development – Build and optimise NLP components for tasks such as text classification, summarisation, and information extraction. Generative AI Solutions – Design, test, and deploy LLMs in cloud-based environments, ensuring scalability and business impact. Code Quality & Performance – Write, review, and maintain production-quality Python code for NLP applications. Scalability & Monitoring – Improve observability, scalability, and resilience of AI solutions in production environments. Stakeholder Engagement – Communicate AI project progress, challenges, and solutions to internal and external stakeholders. Problem-Solving – Translate complex business challenges into practical, AI-driven solutions that deliver measurable results. Cross-Functional Collaboration – Work closely with full-stack engineers, AI specialists, and product teams to integrate AI into business applications. Client-Facing Leadership – Lead proof-of-concept (POC) projects, tailoring AI solutions to client needs. Continuous Learning & Innovation – Stay ahead of the latest trends in NLP, Generative AI, and cloud AI services, contributing to process improvements. Knowledge Sharing – Document AI best practices and mentor team members. Who They’re Looking For Strong background in NLP & AI, with experience building and deploying ML and Generative AI solutions. Expert Python skills, with experience writing, reviewing, and maintaining production-level code. Hands-on experience with cloud AI services (AWS/Azure) and serverless frameworks. Proficiency in prompt engineering, LLM fine-tuning, and model deployment. Experience working with CI/CD pipelines for AI solutions. Ability to translate business challenges into AI-driven solutions. Excellent communication skills, with experience engaging clients and stakeholders. Desirable Skills & Experience Experience in FinTech or financial services AI applications . Knowledge of TypeScript and infrastructure-as-code frameworks like AWS CDK . MSc in Computer Science or a related field . Experience leading client-facing projects and POCs . This is an ideal opportunity for a passionate AI engineer looking to apply cutting-edge NLP and Generative AI techniques in a dynamic, fast-growing environment .