Big Data Engineer (AI Research & Applied Systems)
Python, Knowledge Graphs
Worcestershire (Hybrid working, 1 day a week in office, possibility for additional flex)
Permanent
SC or DV Clearance required
We’re partnering with a high-trust technology consultancy delivering cutting-edge AI solutions into highly sensitive government environments. We're looking for a Big Data Engineer to join a high-performing technical team working at the intersection of cutting-edge AI research and real-world mission delivery.
This role sits at the intersection of AI research, applied engineering, and client advisory, making it ideal for someone who enjoys both deep technical work and real-world problem solving.
The role
- Taking leadership of multiple terabytes of multi-source textual data
- Helping bridge the gap between state of the art research and operational impact
- Translate complex technical concepts into clear, actionable insight for non-technical audiences
- Mentor engineers and shape technical direction
- Contribute to identifying and shaping future opportunities in Big Data within AI innovation
What we’re looking for
- Proven experience working with and processing large data sets
- Understanding of state of the art AI research and how to apply it in production systems
- Skilled in Python and associated technologies and tools within Big Data
- Experience of Knowledge Graphs is beneficial but not essential
- Exceptional communication skills - able to clearly explain complex ideas
- Comfortable operating in high-security, high-trust environments
- Strong problem-solving, analytical and technical leadership capability
Security Requirement
- Due to the nature of this role and associated security requirements, applicants must hold current SC security clearance and be open to obtaining DV
Why this role?
- Work at the forefront of applied AI in sensitive government domains
- High-impact projects with genuine national importance
- Real technical autonomy and influence
- Exposure to cutting-edge research and innovation
- Opportunity to shape both technology and team culture