Senior AI Engineer

Permutable; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Equity options

Holiday allowance

Birthday off

Team socials

Startup culture

Job summary

Permutable, a London-based market intelligence company, seeks a Senior AI Engineer to scale language-model systems from research to reliable production.

You will build NLP pipelines, deploy on AWS, design evaluations, and collaborate with engineers and researchers in a small team; expect a hybrid setup with three days in our Vauxhall office. The role offers equity options and a warm startup culture.

Qualifications

• Strong Python and software engineering skills with production AI experience.
• Hands-on with LLMs or NLP, including evaluation and limitations.
• Ability to own a technical problem from design to production support.
• Experience with cloud infrastructure, containers and monitoring.
• Interest in how global events affect financial markets.

Responsibilities

• Build and improve LLM and NLP pipelines to extract entities and narratives.
• Design evaluations for accuracy, latency and failure modes to improve models.
• Develop Python services and data pipelines for production systems.
• Deploy, monitor and maintain AI workloads using AWS, containers and CI/CD.
• Collaborate with engineers and market specialists to translate research into product capabilities.

Skills

Python

Production ML

LLMs / NLP

Cloud infrastructure

Containers

CI/CD

Airflow

GitHub Actions

Pulumi

GPU workloads

AWS

Tools

AWS

Docker

Kubernetes

Airflow

GitHub Actions

Pulumi

TensorFlow/PyTorch

Job description

Permutable builds market intelligence that helps investors and trading teams understand what is changing across macroeconomics, commodities, currencies and geopolitics, and assess what markets may price next.

We process information from global sources and turn it into structured, traceable signals used in institutional research and market workflows.

We’re looking for a Senior AI Engineer who can take language-model systems from experiment to reliable production use.

You’ll work closely with our founder, engineers and researchers in a small London team. Your decisions will shape how our AI systems interpret incoming information, assess its relevance and deliver results that users can inspect and trust.

What you’ll do

• Build and improve LLM and NLP pipelines that extract entities, identify developing narratives and produce structured market intelligence.
• Design evaluations for accuracy, consistency, latency and failure modes, then use the results to improve models and workflows.
• Develop Python services and data pipelines that process information at scale and deliver it to production systems.
• Deploy, monitor and maintain AI workloads using AWS, containers, CI/CD and workflow orchestration.
• Work with engineers and market specialists to turn research questions into tested product capabilities

.

What we’re looking for

• Strong Python and software engineering skills, with experience shipping AI or machine-learning systems into production.
• Hands-on experience with LLMs or NLP, including evaluation and the practical limits of model outputs.
• The ability to own a technical problem: make design choices, write maintainable code, test it and support it after release.
• Experience with cloud infrastructure, containers and production monitoring.
• Clear communication and an interest in how global events affect financial markets.

Experience with multi-agent workflows, model fine-tuning, Airflow, AWS, GitHub Actions, Pulumi or GPU workloads would be useful. We care more about what you have built and operated than whether you have used every tool in our stack.

• Work with real users: Your systems will support institutional research and market workflows, and you’ll see how they perform outside a prototype.
• Own meaningful problems: In a small team, you’ll influence technical choices and carry work through to production.
• Learn across disciplines: Work directly with engineers, data scientists and market specialists on problems spanning AI, data infrastructure and global markets.
• Spend time together: Work from our Vauxhall office at least three days a week, with flexibility to work remotely for the remainder.
• Share in the company’s growth: Benefits include equity options, holiday allowance, your birthday off, team socials and a warm and supportive start up culture.