Cyber Threat Intelligence & Vulnerability Management Lead

As a Senior AI Engineer, you'll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You'll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery.

What You'll Be Doing

• Designing and developing NLP and LLM-driven solutions for complex, real-world use cases
• Fine-tuning and adapting foundation models using domain-specific data
• Building evaluation frameworks, prompt testing tools and data preprocessing pipelines
• Monitoring, optimising and maintaining deployed models for performance, cost and reliability
• Implementing explainability, fairness and bias-mitigation strategies
• Collaborating on MLOps pipelines, CI/CD workflows and production deployments
• Mentoring junior engineers and promoting best practices across the team
• Staying current with advances in AI, NLP and MLOps to drive continuous improvement, Job Title: Content Strategist Location: United Kingdom (100% Remote) Duration: Ongoing Contract Industry: AI / Machine Learning / Digital Platforms About the Role - We are looking for a highly detail-oriented Knowledge Graph Curator to join a cutting-edge team building..., Senior MS Fabric Data Engineer (Azure) - Location: Warrington Rate: £500 per day (Inside) Employment Type: Contract About the Role We're looking for a talented Senior / Principal Data Engineer to work on a long-term engagement with a key client, currently based in..., A leading engineering firm in the UK is seeking an Assistant Systems Consultant to join the Intelligent Infrastructure team. In this role, you will work closely with clients, providing strategic advice and ensuring high-quality systems engineering services. Candidates... © 2026, Jobsora.com

• Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership
• Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents)
• Experience translating research and experimentation into production systems
• Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management
• Hands-on experience with Docker and Kubernetes
• Strong communication skills and experience mentoring or leading others

Nice to Have

• Experience working in regulated or sensitive domains
• Exposure to graph-based retrieval techniques
• Experience with Azure ML and DevOps integrations

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