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Senior MLOps Engineer: AWS AI Platform (On-site London)

Talenzon group
Greater London, UK
10 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Artificial Intelligence Amazon Web Services Continuous Integration Large Language Models AI Platforms Machine Learning Operations

Job description

Talenzon group is seeking a Senior MLOps Engineer to join our London-based on-site team for a 6-month contract. You will design and implement an enterprise MLOps platform on AWS, deploy production-ready LLM applications and automate model deployment pipelines.

Requirements

You will build AI monitoring, governance, and CI/CD workflows, plus standardize the ML lifecycle across teams. Strong English communication and hands-on experience with SageMaker, EKS, and vector databases are required. #J-18808-Ljbffr

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Good distractions

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

Moments

Explore playlists

4:57 min

Centralizing LLMOps workflows within Azure AI Foundry

Maxim Salnikov Maxim Salnikov · LIVE

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

3:49 min

Container hosting options available on Amazon Web Services

Federico Fregosi · World Congress 2022

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:19 min

Introduction to DevOps for AI and MLOps

Aarno Aukia · LIVE

Videos

See all
Effective Machine Learning - Managing Complexity with MLOps thumbnail
45:45
World Congress 2021 • about 5 years ago

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

Creating Industry ready solutions with LLM Models thumbnail
58:00
LIVE • over 2 years ago

Creating Industry ready solutions with LLM Models

Vijay Krishan Gupta, Gauravdeep Singh Lotey

Containers in the cloud - State of the Art in 2022 thumbnail
28:03
World Congress 2022 • over 4 years ago

Containers in the cloud - State of the Art in 2022

Federico Fregosi

This App Reached 10,000 Users in One Week. Here's How. thumbnail
23:54
World Congress 2026 Europe • 2 months ago

This App Reached 10,000 Users in One Week. Here's How.

Mahran Meißner

The Road to MLOps: How Verivox Transitioned to AWS thumbnail
25:48
World Congress 2024 • about 2 years ago

The Road to MLOps: How Verivox Transitioned to AWS

Elisabeth Günther

Lies, Damned Lies and Large Language Models thumbnail
29:40
LIVE • almost 2 years ago

Lies, Damned Lies and Large Language Models

Jodie Burchell

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