UTA

Media and entertainment

PrincipalAIEngineer

£150–250k ~AI est. London, United Kingdom FULL TIME
The Brief

“Principal AI Engineer at UTA. Skills: AI Engineering, Machine learning, Data science, Full-stack engineering. Lead design of ML solutions. Lead development of AI solutions”

What You'll Achieve.

Power critical workflows; Power decision-making; Power automation; Power business insight

Industry & Context.

Media and entertainment
Problems you'll solve

Problem framing; Data exploration; Translate ambiguous needs

What You'll Do.

Lead design of ML solutions

Lead development of AI solutions

Lead deployment of AI solutions

Support decision-making

Support personalization

Own end-to-end delivery

Integrate applications

Evaluate ML approaches

Implement ML approaches

Evaluate AI approaches

Implement AI approaches

Evaluate NLP approaches

Implement NLP approaches

Partner with data teams

Build robust pipelines

Build reusable services

Build scalable environments

Support production AI workloads

Design cloud-native applications

Develop cloud-native applications

Design backend services

Develop backend services

Integrate AI into platforms

Integrate data into platforms

Integrate workflows into platforms

Lead full-stack engineering

Develop modern web applications

Develop service integrations

Develop internal tools

Provide architectural leadership

Integrate with enterprise systems

Integrate with third-party platforms

Productionize AI solutions

Productionize ML solutions

Establish testing standards

Establish deployment standards

Establish observability standards

Establish retraining standards

Establish documentation standards

Serve as technical leader

Serve as player-coach

Contribute to implementation

Define technical strategy

Define roadmap priorities

Lead execution of initiatives

Act as senior escalation point

Foster engineering excellence

Foster accountability

Foster continuous improvement

Partner with Product stakeholders

Partner with Engineering stakeholders

Partner with Data stakeholders

Partner with business stakeholders

Identify high-value opportunities

Improve outcomes with AI

Improve outcomes with software

Translate business needs

Create technical solutions

Communicate trade-offs

Present technical work

Communicate to technical audiences

Communicate to non-technical audiences

How You'll Work.

Team & Collaboration

Cross-functional initiatives; Partner with data teams; Partner with platform teams; Partner with Product; Partner with Engineering; Partner with Data; Partner with business stakeholders

Communication Scope

Influence stakeholders; Present complex work; Communicate trade-offs; Communicate risks

Process & Methodology

Roadmap planning

Free ATS check

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