Senior Machine Learning Engineer
London, United Kingdom, UK - London
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type Permanent - Full Time
Read the full posting
What you’ll work on
Full postingDesign, develop, and maintain business-critical AI agent services.
Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.
Design, build and maintain business-critical AI agent services
Build agent workflows from business requirements using LangChain
Run evals and monitoring to improve AI agents
Lead system design and architecture decisions with engineers and architects
Mentor junior engineers through code reviews and knowledge sharing
From the employer’s posting
Design, develop, and maintain business-critical AI agent services.
Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.
Build tailored agent workflows and services from business requirements, using LangChain and related frameworks
Integrate tests and validation to improve AI agents through evals and monitoring.
Work with software engineers and architects to lead system design and architectural decisions.
Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing.
What you’ll bring
All qualificationsCore experience
- Strong Python development experience, ideally with 6+ years of professional software engineering experience.
- Experience supporting business-critical systems in live production environments.
- Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures.
- Experience designing distributed systems, asynchronous microservices and event-driven architectures.
- Experience deploying, monitoring and maintaining ML or LLM models in production.
- Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management.
Qualification wording
Strong Python development experience, ideally with 6+ years of professional software engineering experience.
Experience supporting business-critical systems in live production environments.
Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures.
Experience designing distributed systems, asynchronous microservices and event-driven architectures.
Experience deploying, monitoring and maintaining ML or LLM models in production.
Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management.
Tools in this posting
- Python
- Azure
- Docker
Source — Tool mentions in context
- Significant experience building production-grade AI agents or LLM-powered services. - Strong Python development experience, ideally with 6+ years of professional software engineering experience. - A track record of writing clean, maintainable and high-quality production code.
- Confidence leading system design discussions and making pragmatic architectural trade-offs. - Strong cloud experience, ideally within Azure. - Experience deploying, monitoring and maintaining ML or LLM models in production.
- Experience supporting business-critical systems in live production environments. - Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures. - Experience designing distributed systems, asynchronous microservices and event-driven architectures.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 98 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 24, 2026 · 98 days ago
- Recorded sightings
- 129
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on cfc.pinpointhq.com. The employer’s form will show what is required.
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Job description
Insurance isn’t the first industry most engineers think of when they imagine cutting-edge AI work. That’s exactly why this role is interesting.
CFC’s Data & AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We’re using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering.
We’re also fundamentally rethinking how we deliver software. We’re moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship.
This is a Senior Machine Learning / AI Engineer role with genuine technical leadership scope. You’ll shape the architecture of AI-driven production microservices, own system design decisions, and work at the intersection of traditional software engineering and applied AI. You’ll collaborate closely with engineers, data scientists, and product managers in a team that’s small enough for your decisions to matter and ambitious enough for the work to stay interesting.
About the role
- Design, develop, and maintain business-critical AI agent services.
- Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.
- Integrate tests and validation to improve AI agents through evals and monitoring.
- Work with software engineers and architects to lead system design and architectural decisions.
- Translate technical specifications into clean, testable, and scalable production code.
- Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard.
- Write unit and integration tests to maintain reliability and service correctness.
- Monitor, troubleshoot, and continuously improve production services.
- Produce clear, structured documentation for systems, architecture, and processes.
- Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing.
About you
We’re looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You’ll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter.
You’ll have:
- Significant experience building production-grade AI agents or LLM-powered services.
- Strong Python development experience, ideally with 6+ years of professional software engineering experience.
- A track record of writing clean, maintainable and high-quality production code.
- Experience supporting business-critical systems in live production environments.
- Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures.
- Experience designing distributed systems, asynchronous microservices and event-driven architectures.
- Confidence leading system design discussions and making pragmatic architectural trade-offs.
- Strong cloud experience, ideally within Azure.
- Experience deploying, monitoring and maintaining ML or LLM models in production.
- Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management.
- Hands-on experience orchestrating LLM workflows using frameworks such as LangChain.
- An interest in how agentic software development can improve engineering delivery without compromising code quality.
- Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments.
- An ownership mindset, with the ability to work independently and contribute effectively to shared codebases.
Core Values
Love what you do:
We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
Challenge everything:
We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
Have fun, be good:
Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
Challenge everything:
We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
Have fun, be good:
Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
Employment type
Permanent - Full Time
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, United Kingdom, UK - London
- An interest in how agentic software development can improve engineering delivery without compromising code quality. - Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments. - An ownership mindset, with the ability to work independently and contribute effectively to shared codebases.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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