Artificial Intelligence Engineer

Intellect
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 57K

Job location

Tech stack

Artificial Intelligence
Continuous Integration
Information Engineering
Python
Machine Learning
Management of Software Versions
Large Language Models
Snowflake
Deep Learning
Generative AI
Information Technology
HuggingFace
Machine Learning Operations
Software Version Control
Data Pipelines
Databricks

Job description

Are you an experienced AI Engineer ready to take ownership of advanced AI delivery within a fast-growing data and analytics environment? Do you want to help shape how AI is designed, deployed, and scaled across real-world, mission-critical products?, * Lead the development, optimisation, and deployment of machine learning, deep learning, generative AI, and agentic AI models

  • Design and maintain robust AI and data pipelines, including model monitoring, automation, scalability, and performance improvements
  • Collaborate with cross-functional teams to translate business goals into production-ready AI solutions
  • Experiment with and integrate LLMs, agent frameworks, and reasoning-based systems into real-world applications
  • Support and mentor junior team members on engineering standards, model quality, and best-practice delivery
  • Champion responsible AI, ensuring transparency, versioning, documentation, and evaluation at every stage

Requirements

We are looking for a highly skilled AI Engineer Specialist with strong communication ability, hands-on AI engineering experience, and a passion for delivering impactful solutions. In this role, you will contribute to both the technical leadership and strategic development of the AI capability, helping drive innovation across the business., * Degree in Computer Science, AI, Data Science, Mathematics or a related field (Master's desirable)

  • 3-5 years' hands-on experience delivering AI or ML solutions in production environments
  • Proven expertise with Generative AI + Agentic AI, including frameworks such as LangChain, Hugging Face, or equivalent
  • Strong Python engineering skills, with experience building, testing, and deploying high-quality models and pipelines
  • Familiarity with Snowflake and Databricks, as part of modern cloud-native data engineering workflows
  • Good understanding of MLOps practices including CI/CD, model monitoring, observability and version control
  • Excellent communication and stakeholder-engagement skills, able to translate technical ideas into measurable value
  • A growth and leadership mindset - confident in driving forward innovation, standards and team development

What You Can Expect

  • Hybrid working with excellent collaboration opportunities
  • A culture built on learning, curiosity, experimentation, and high-quality delivery
  • Ability to influence technical direction and shape long-term AI strategy
  • Opportunity to work with modern tooling, cloud platforms and emerging AI technologies
  • Supportive environment focused on wellbeing, growth, and professional development

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