AI Engineer

MicroTech Consulting
London, United Kingdom
3 weeks ago
Applications closed

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Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Senior
Education
Masters
Posted
4 Jun 2026 (3 weeks ago)

Our client are an international semiconductor company.

Responsibilities:

Lead engineering efforts on complex research projects in machine learning and artificial intelligence

Optimize algorithms and ensure the scalability and robustness of research prototypes and systems

Coordinate closely with researchers to align engineering work with research objectives and project goals

Requirements:

MSc in Computer Science or related subject

Extensive experience researching machine learning algorithms and systems

Advanced proficiency in programming languages such as Python, C++, or similar

Experience with optimization, reinforcement learning, and/or large language models (LLMs)

Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)

Experience with scalable system design and deployment in research or production environments

Exposure to chip design or applied AI research

Industry Insights

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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.