Senior Machine Learning Engineer

Emporia Consulting Group
united kingdom, gb
8 months ago
Applications closed

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Senior Machine Learning Engineer

Platform Recruitment Cambridge, United Kingdom
Posted
7 Nov 2025 (8 months ago)

A global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1300 per day. Outside IR35
 
Experience and skills required for the Senior Machine Learning Engineer, Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️

  • In depth experience with the following Machine Learning;
  • Quantization, PEFT, DeepSpeed, ONNX, TensorRT
  • Deep Learning with PyTorch
  • Experience with
  • Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️
  • Previous industry exposure to multi-node HPC clusters  ️
  • Experience with Large language models - OpenAI, Mistral, Claude, LLaMA
  • Large language model for GPU usage, scaling, and data movement ️

Package for the for the Senior Machine Learning Engineer, Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️

  • Hybrid
  • Outside IR35
  • Paying between £1100 to £1300 per day depending on experience

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What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.