Lead Engineer, MLOps (London)

Code and Theory
London, United Kingdom
11 months ago
Applications closed

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We are seeking an experienced Lead ML+DevOps Engineer. The ideal candidate will have strong expertise in cloud deployment, containerization, and related technologies, and will play a crucial role in the scalability and reliability of our AI/ML infrastructure.

WHAT YOU'LL NEED

Extensive experience in deploying machine learning models to cloud environments


Strong expertise in Docker container orchestration
Proficiency in Terraform for infrastructure as code (IaC) and cloud resource management
Hands-on experience with streaming data platforms (e.g., Kafka, Kinesis)
Solid understanding of data cleaning, transformation, and ETL processes
Experience with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI)
Strong programming skills in Python. Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus
Excellent problem-solving skills and the ability to think critically and creatively
Strong communication skills with the ability to convey technical concepts to non-technical stakeholders

ABOUT US


Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Mediacurrent, Rhythm, and TrueLogic.


Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.


The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

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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.