Artificial Intelligence Engineer

JR United Kingdom; England; Remote; GBP 50,000 - 80,000; Full time

Job summary

A leading company in the AI sector seeks an Artificial Intelligence Engineer to define and build the company's AI strategy. The role involves developing machine learning systems in a collaborative environment, ensuring best practices in model deployment, and mentoring teammates. This position offers a dynamic work culture with opportunities for growth.

Benefits

Equity options

25 days holiday + bank holidays

Pension matched to 7%

Work abroad for up to 3 months

Qualifications

• Experience in AI engineering, data science, or related fields with a focus on production deployment.
• Strong programming skills.
• Hands-on experience with large language models and recommendation systems.

Responsibilities

• Leading the model development lifecycle.
• Collaborating cross-functionally to share ideas and mentor teammates.
• Translating complex problems into scoped projects.

Skills

Python

SQL

NLP

ML frameworks

AWS ML infrastructure

Job description

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Artificial Intelligence Engineer, England

Client: Burns Sheehan

Location: England, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Views:

2

Posted:

31.05.2025

Expiry Date:

15.07.2025

Job Description:

• UK remote with London office with expectation to be seen in person at least once a month.
• Equity options
• 25 days holiday + bank holidays
• Pension matched to 7%
• Work abroad for up to 3 months

Are you looking to be part of a world-class data-led organisation that is continuously advancing with the latest AI trends?

This company is an innovator in building data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. The role involves being a senior engineer who will help define and build the company's AI strategy. You will be building large-scale machine learning systems, applying the latest techniques while working with an elite team of researchers and engineers.

Daily responsibilities may include:

• Leading the model development lifecycle, ensuring best practices, reproducible research, and effective model deployment.
• Collaborating cross-functionally to share ideas, understand business problems, and mentor teammates.
• Translating complex problems into scoped projects in a dynamic, startup-style environment.
• Learning and applying cutting-edge research, iterating with a fail-fast mentality.
• Sharing ideas and work proactively with the team and organization.

Requirements include:

• Experience in AI engineering, data science, or related fields with a focus on production deployment.
• Strong Python, SQL, and programming skills.
• Hands-on experience with NLP, LLMs, recommendation systems, information retrieval, GenAI (especially RAG systems).
• Familiarity with ML frameworks like PyTorch, scikit-learn.
• Experience across the full model lifecycle: experimentation, training, testing, monitoring, deployment.
• Good knowledge of AWS ML infrastructure.

This is an excellent opportunity to join a company that values innovation, with many prospects for growth and development within the team.