AI Optimization Engineer – Front Office Platforms

BlueCrest Capital Management

Greater London

On-site

GBP 110,000 - 150,000

Full time

3 days ago
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Job summary

BlueCrest Capital Management in London is seeking an AI Engineer focused on optimisation to build and run AI tools and platforms used across the front office, including assistants and agents for PMs, traders and researchers. You will help move workloads onto open-weight models served on our own GPUs, fine-tuned where needed, at a fraction of external API costs.

You will design and deliver central AI services, ensure governance and entitlements, and continuously improve efficiency across

Qualifications

  • Experience building AI tools for front-office workflows.
  • Proficiency with self-hosted models and GPU inference.
  • Familiarity with model tuning (LoRA/QLoRA).

Responsibilities

  • Build front office AI tools and central platform capabilities for model access, an AI gateway, MCP services and knowledge retrieval with entitlements, audit and monitoring.
  • Design, build and run AI assistants, agents and services used by PMs, traders and researchers.
  • Stand up and run production inference for open-weight models on our own GPUs using engines like vLLM behind OpenAI-compatible APIs.
  • Fine-tune models for front office tasks (LoRA/QLoRA) and serve multiple adapters on shared base models.
  • Apply quantisation and serving optimisations (FP8, AWQ, GPTQ) to achieve low latency and high throughput.
  • Run inference on Kubernetes with GPU scheduling, autoscaling and health monitoring.

Skills

Python
GPU inference
Systems design
Cost optimization
Kubernetes

Tools

vLLM
LoRA
QLoRA
FP8
GuideLLM
LiteLLM
Kubernetes

Job description

BlueCrest Capital Management in London is seeking an AI Engineer focused on optimisation to build and run AI tools and platforms used across the front office, including assistants and agents for PMs, traders and researchers. You will help move workloads onto open-weight models served on our own GPUs, fine-tuned where needed, at a fraction of external API costs.

You will design and deliver central AI services, ensure governance and entitlements, and continuously improve efficiency across

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