Data, AI & Analytics
AI Engineer Jobs & Careers
Looking for your next AI Engineer opportunity?
HOK Consulting connects AI Engineers with organisations designing, building and deploying artificial intelligence solutions across permanent, contract and interim opportunities.
Whether your experience covers artificial intelligence, generative AI, machine learning, Python, Databricks or cloud-based data platforms, explore current opportunities or upload your CV to join HOK’s technology talent network.
Current AI Engineer Jobs
Explore current AI Engineer opportunities available through HOK Consulting.
Can’t see the right AI Engineer role?
If there are currently no suitable AI Engineer vacancies listed, upload your CV and tell us what you’re looking for. Our team can contact you when a relevant permanent, contract or interim opportunity becomes available.
What Does an AI Engineer Do?
AI Engineers design, build and deploy artificial intelligence systems that help organisations automate tasks, analyse information and create intelligent digital products and services.
The role combines software engineering, data and machine learning, with AI Engineers developing applications and services that use models reliably within production environments.
AI Engineers often work alongside Data Scientists, Machine Learning Engineers, Data Engineers and software teams to integrate AI capabilities into wider technology platforms and turn experimental models into scalable business solutions.
AI Engineer Skills & Experience
The exact technical requirements vary between organisations, but AI Engineer roles commonly involve experience across areas such as:
- Artificial Intelligence
- Generative AI
- Machine Learning
- Python
- SQL
- Data Science
- Data Engineering
- AI Application Development
- Model Deployment
- Machine Learning Pipelines
- Databricks
- Snowflake
- Azure Data Services
- AWS Data Services
- Cloud Data Platforms
- Data Governance
- Data Quality
- Software Engineering
AI Engineers may specialise in generative AI, machine learning applications or AI platforms, while others work across the wider lifecycle from model integration through to production deployment.
Strong software engineering and problem-solving skills are particularly important because successful AI solutions need reliable applications, scalable infrastructure and robust data and model processes.
Typical AI Engineer Responsibilities
- Designing and developing artificial intelligence applications and services
- Integrating AI and machine learning models into production systems
- Building generative AI and machine learning workflows
- Writing reliable and maintainable Python code
- Developing data and model pipelines
- Connecting AI solutions with applications, APIs and data platforms
- Testing and evaluating AI system performance
- Improving the reliability, scalability and efficiency of AI solutions
- Supporting cloud-based AI and data platforms
- Monitoring deployed models and AI applications
- Working with Data Scientists, Machine Learning Engineers and Data Engineers
- Supporting data governance, security and quality requirements
Responsibilities vary depending on the organisation, AI use cases and whether the role focuses on generative AI, machine learning applications, model integration or wider AI platform engineering.
AI Engineer Salary Expectations
AI Engineer salaries vary according to experience, location, technical specialism, sector and the complexity of the artificial intelligence systems being developed.
Permanent AI Engineer
Around £87,500 per year
UK median advertised salary
Contract AI Engineer
Around £600 per day
UK median contract rate
Senior AI Engineers and professionals with specialist generative AI, machine learning, financial services, cloud architecture or production AI experience may command higher salaries or contract rates.
Salary information is provided as a general UK market guide and can vary significantly between individual roles.
AI Engineer Career Progression
AI Engineering can lead into senior engineering, technical leadership and wider data and artificial intelligence leadership positions.
Typical AI Engineer Career Path
Alternative Career Paths
AI Engineers may also progress into roles such as:
- Machine Learning Engineer
- Data Scientist
- Data Architect
- AI Engineering Lead
- Head of Data
- Chief Data Officer
The right progression depends on whether you want to deepen your hands-on AI expertise, specialise further in machine learning, move towards architecture or take responsibility for wider data and AI teams and strategy.
Your Next Move
Looking for Your Next AI Engineer Opportunity?
If you’re considering your next permanent position, contract assignment or interim opportunity, send HOK Consulting your CV.
Tell us about the AI systems you’ve built, the technologies and platforms you work with and the type of opportunity you’re looking for.
Specialist Recruitment
Data, AI & Analytics Recruitment
Artificial Intelligence Engineering forms part of HOK Consulting’s wider Data, AI & Analytics recruitment expertise, connecting organisations with professionals across artificial intelligence, machine learning, data engineering, data science, analytics and data architecture.
Hiring?
Recruiting AI Engineers?
HOK Consulting supports organisations looking for experienced AI Engineers across permanent, contract and interim requirements.
Whether you’re building generative AI applications, deploying machine learning models, developing intelligent products or scaling a wider data and AI function, speak to HOK about your requirements.