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Generative ai engineer

Worcester
Salvada Talent
Ai engineer
Posted: 1 June
Offer description

Software Engineer (AI Research & Applied Systems)

Python, LLM, Machine Learning (ML)

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 both Mid and Senior level Engineers 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

* Lead a small technical team exploring and applying advances in generative AI, LLMs and advanced Machine Learning
* Bridge the gap between state of the art research and operational impact
* Translate complex technical concepts into clear, actionable insight for non-technical audiences
* Lead delivery of secure, high-impact R&D projects
* Mentor engineers and shape technical direction
* Contribute to identifying and shaping future opportunities in AI innovation


What we’re looking for

* Proven experience working with generative AI, LLMs, or advanced ML technologies
* Strong understanding of state of the art AI research and how to apply it in production systems
* Skilled in Python, as well as ideally some experience of Docker containerisation
* 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

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