AI Summary
Lead MLOps Engineer role involves providing technical leadership, designing and implementing AI solutions, and developing production-grade Python systems. The ideal candidate will have 8+ years of experience in software engineering and expertise in Python, C++, and Azure ecosystem. This is a fully remote contract opportunity with a rate of up to £625 per day.
Key Highlights
Provide technical leadership across the platform team
Design and implement Model Context Protocol (MCP) integrations
Architect and develop production-grade Python systems
Key Responsibilities
Provide technical leadership across the platform team
Design and implement Model Context Protocol (MCP) integrations
Architect and develop production-grade Python systems
Lead the design and implementation of the organisation's MLOps framework
Drive architecture and system design decisions across the AI platform stack
Build and maintain systems running in containerised and microservice-based environments
Mentor and support engineers across the team
Technical Skills Required
Benefits & Perks
Up to £625 per day
Fully remote
3 months initial sign up with significant opportunity for extension
Job Description
This is an exciting contract opportunity for a Lead MLOps Engineer to join an experienced team in a new customer engagement working at the forefront of data analytics and AI. This role offers the chance to take a key role in the design and delivery of advanced AI solutions within the Azure ecosystem.
Key Responsibilities
- Provide technical leadership across the platform team, aligning engineering solutions with client requirements and long-term platform strategy.
- Design and implement Model Context Protocol (MCP) integrations that connect LLMs with internal tools, APIs, and data sources while maintaining reliability, security, and low operational overhead.
- Architect and develop production-grade Python systems, ensuring strong standards for performance, testing, maintainability, and observability.
- Lead the design and implementation of the organisation's MLOps framework, supporting model development, deployment, monitoring, and lifecycle management.
- Drive architecture and system design decisions across the AI platform stack, establishing patterns and standards for how AI-powered capabilities are built and integrated.
- Work closely with machine learning engineers, data engineers, and product teams to translate requirements into scalable, maintainable solutions.
- Build and maintain systems running in containerised and microservice-based environments, ensuring reliability and operational robustness.
- Mentor and support engineers across the team, contributing through code reviews, design discussions, and hands-on collaboration.
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- 8+ years of professional software engineering experience delivering production systems.
- Deep expertise in Python, including software architecture, packaging, testing, asynchronous programming, and production deployment practices.
- Strong C++ development experience in professional environments, including writing performant and memory-safe code.
- Experience building lightweight tool or API integrations, such as MCP implementations, context providers, tool servers, or plugin-style architectures for LLM-driven systems.
- Experience developing and operating containerised applications and microservices in production environments.
- Hands-on experience with Databricks, including components such as Delta Lake, clusters, Unity Catalog, asset bundles, and familiarity with Mosaic AI capabilities (e.g., MLflow, DBRX, model serving, or LLM fine-tuning).
- Strong system design and architectural thinking, including designing resilient systems, defining interfaces, and anticipating failure modes.
- Deep understanding of software engineering paradigms such as object-oriented, functional, event-driven, and reactive programming, with the ability to apply the right paradigm to the problem.
- Demonstrated experience implementing and evaluating software design patterns (creational, structural, behavioural) in production codebases.
- Previous experience operating in a technical leadership role, such as Staff Engineer, Principal Engineer, or Tech Lead.
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- Rate offered: Up to £625 per day
- IR35 Status: Outside
- Location: Fully remote
- Start date: ASAP
- Duration: 3 months initial sign up with significant opportunity for extension
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