AI Engineer

Formula Recruitment Limited; Greater London; Hybrid; GBP 68,000 - 108,000; Full time

Job summary

Formula Recruitment Limited in London is seeking an AI Engineer to design, build and monitor scalable AI systems across the business. You will collaborate with product, data and platform engineers to release software frequently and ensure quality through robust testing and observability.

The role demands hands-on experience with ML frameworks, cloud platforms and DevOps practices, with a focus on cost, latency and reliability in production environments.

Qualifications

• Proficiency in at least one programming language (e.g., Python, C#, JavaScript, Kotlin, Java or Go).
• Experience with Gen AI tools (LangGraph, CrewAI, Hugging Face or OpenAI APIs) and ML frameworks like PyTorch or TensorFlow.
• Strong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges such as prompt engineering, latency and cost optimisation.
• Experience with cloud platforms (AWS, GCP or Azure) and infrastructure-as-code such as Terraform.
• Hands-on experience with DevOps practices (CI/CD, Docker, Kubernetes) and observability tools like Prometheus, Grafana or Datadog.
• Experience with distributed systems, scaling, and both SQL and NoSQL datastores.
• Agentic workflow experience (autonomous or multi-agent systems) is a plus.
• Fluency in English to C2 level.

Responsibilities

• Design, build, deploy and monitor AI systems that scale across the business.
• Work in a cross-functional team with product, data and platform engineers, releasing software frequently.
• Own quality through rigorous automated testing, metrics and observability.
• Assess and select the right solution for each task, balancing performance, cost and delivery timelines.
• Build and optimise systems for performance, scalability and reliability.

Skills

Programming languages

Gen AI tools

ML fundamentals

Cloud platforms

CI/CD

Docker

Kubernetes

Datastores (SQL/NoSQL)

Agentic workflows

English fluency

Tools

PyTorch

TensorFlow

Terraform

Prometheus

Grafana

Datadog

Docker

Kubernetes

AWS

GCP

Azure

Python

Job description

Salary: £68,000 - 108,000 per year

Requirements:

• Proficiency in at least one programming language (for example Python, C#, JavaScript, Kotlin, Java or Go)
• Experience with Gen AI tools (such as LangGraph, CrewAI, Hugging Face or OpenAI APIs) and ML frameworks like PyTorch or TensorFlow
• Strong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges such as prompt engineering, latency and cost optimisation
• Experience with cloud platforms (AWS, GCP or Azure) and infrastructure-as-code such as Terraform
• Hands-on experience with DevOps practices (CI/CD, Docker, Kubernetes) and observability tools like Prometheus, Grafana or Datadog
• Experience with distributed systems, scaling, and both SQL and NoSQL datastores
• Agentic workflow experience (autonomous or multi-agent systems) is a plus
• Fluency in English to C2 level

Responsibilities:

• Design, build, deploy and monitor AI systems that scale across the business
• Work in a cross-functional team with product, data and platform engineers, releasing software frequently
• Own quality through rigorous automated testing, metrics and observability
• Assess and select the right solution for each task, balancing performance, cost and delivery timelines
• Build and optimise systems for performance, scalability and reliability

Technologies:

• AI
• AWS
• Azure
• C#
• CI/CD
• Cloud
• Datadog
• DevOps
• Docker
• GCP
• Grafana
• Java
• JavaScript
• Kotlin
• Kubernetes
• LLM
• NoSQL
• Prometheus
• PyTorch
• Python
• SQL
• TensorFlow
• Terraform

More:

We are an established technology and services business offering an AI Engineer role based in London with hybrid working. You will join a cross-functional team alongside product, data and platform engineers, working in a hands-on, full-lifecycle engineering culture where we build and run what we ship. We offer real ownership of AI systems in production, the chance to work across modern AI tooling, cloud and agentic architectures, and a competitive package and benefits to be confirmed with the client.

last updated 36 week of 2026