W3Global
AI/ML-NLP-MLOps
Sheffield
£380 – £450/day
Posted about 16 hours ago
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Software Engineering Delivery
Design, build, and ship production quality services within our current business controls
- Build and Optimize DevOps pipelines enhancing CICD processing including testing and platform process observability
- Design, iterate, and optimize prompts for a wide range of LLM use cases (instruction following, structured output generation, classification, summarization, code generation, and reasoning tasks)
- Build and manage prompt libraries and versioning strategies, treating prompts as first-class engineering artefacts
- Collaborate with product and domain teams to translate business requirements into precise, well-structured prompt specifications
Agentic AI LLM Integration
- Architect and implement maintain agentic systems, autonomous agents, multiagent pipelines, tool use, workflows, planning loops, and memory augmented reasoning
- Implement LLM observability, logging, tracing, evaluation pipelines, and guardrails to maintain quality and reliability in production AI systems
- Advise on responsible AI deployment, including output validation, human in the loop design, and risk mitigation for agentic workflows
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Technical Skills Experience
Full Stack Engineering
- Strong proficiency in Java, Spring Boot, REST APIs, event-driven services, security, and performance optimization
- Solid React development skills and API integration
- Experience with relational and in-memory databases (PostgreSQL, Redis)
- Messaging and streaming platforms (Kafka or equivalent)
Prompt Engineering
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- Demonstrable hands-on experience engineering prompts for production LLM applications, not just prototypes
- Familiarity with prompt evaluation frameworks and tooling (Prompt Flow, Lang Smith, Braintrust, or custom eval pipelines)
- Understanding of tokenization, context limits, temperature tuning, and model-specific behaviors across major LLM providers
- Experience structuring prompts for tool function calling, structured JSON output, and multiturn conversations
DevOps Infrastructure
- Kubernetes deployments, services, ingress, Helm
- Customize HPA and RBAC
- CICD pipelines (GitHub Actions, GitLab CI, Jenkins, or equivalent)
- Infrastructure as code (Terraform)
- Cloud platforms (AWS, GCP, or Azure)
Skills
- Mandatory Skills: MLOPS, Python
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Skills
MLOps
Python
Java
Spring Boot
React
Prompt Engineering
LLM Integration
Kubernetes
Terraform
Kafka
PostgreSQL
Redis
GitHub Actions
AWS
GCP
Azure