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Senior AI Engineer

Hanson Regan Ltd
London, UK
7 days ago
Apply on www.careerboard.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£80,000.0
Working hours
Regular working hours
Job source
www.careerboard.com

Tech stack

Artificial Intelligence Software Applications Distributed Systems Python (Programming Language) Machine Learning Systems Integration Cloud Platform System Large Language Models Model Validation Generative AI Kubernetes Machine Learning Operations
+1 more
Data Pipelines

Job description

An opportunity for engineers who enjoy taking AI from ideas and research into scalable, real-world applications - building intelligent systems, experimenting with emerging technologies, and solving complex technical challenges.

Developing AI-powered applications using modern LLM technologies Building intelligent workflows, automation systems and AI-driven solutions Working with Python and production software engineering practices Integrating machine learning models into scalable products Improving reliability, performance and usability of AI systems Collaborating with technical teams to bring innovative ideas into production

Requirements

Python engineering Large Language Models (LLMs) AI agents and orchestration frameworks Machine learning systems Cloud environments and modern deployment practices Data pipelines and AI application architecture

Desirable Skills:

Generative AI applications Multi-modal AI MLOps and model evaluation Distributed systems Robotics, automation or complex technology environments

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · World Congress 2025

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

3:22 min

Evaluating advanced artificial intelligence platforms for daily recruitment

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

Videos

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How E.On productionizes its AI model & Implementation of Secure Generative AI. thumbnail
19:27
World Congress 2023 • about 3 years ago

How E.On productionizes its AI model & Implementation of Secure Generative AI.

Kapil Gupta

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • about 1 month ago

Understanding Kubernetes in a visual way

Aurélie Vache

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative thumbnail
29:27
World Congress 2023 • almost 3 years ago

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative

David Estevez

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
World Congress 2024 • almost 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow thumbnail
34:21
LIVE • almost 2 years ago

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow

Aarno Aukia

Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing thumbnail
27:54
World Congress 2026 Europe • about 1 month ago

Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing

Piotr Zaniewski

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