AI Engineer Location: Berkshire Type: Permanent Salary: £70-75K gross (incl. variable pay) Clearance: SC Cleared or eligible The Role Join an Innovation Team building cutting-edge solutions with Generative AI, Machine Learning and Agentic AI. You'll design and deliver GenAI systems for real-world enterprise use cases, driving POCs and transformation initiatives from concept to production. What You'll Do Design and build GenAI solutions using LLMs, RAG and prompt engineering Develop Agentic AI systems for automation and orchestration Build and deploy ML models for business use cases Work across AWS services including Bedrock, SageMaker, Lambda and ECS/EKS Lead AI innovation and enterprise transformation projects Collaborate cross-functionally and mentor other engineers What We're Looking For 7+ years' software engineering experience, with 2+ years hands-on in AI/ML and GenAI Strong Python and Java skills Experience with LangChain, LlamaIndex, CrewAI or similar frameworks Knowledge of RAG, vector databases and semantic search AWS expertise (Bedrock and SageMaker preferred) Experience with APIs, microservices and cloud-native architecture Nice to Have AWS certifications (ML or Architect) MLOps, CI/CD and Responsible AI experience Exposure to multi-agent systems and AI governance
10/09/2026
Full time
AI Engineer Location: Berkshire Type: Permanent Salary: £70-75K gross (incl. variable pay) Clearance: SC Cleared or eligible The Role Join an Innovation Team building cutting-edge solutions with Generative AI, Machine Learning and Agentic AI. You'll design and deliver GenAI systems for real-world enterprise use cases, driving POCs and transformation initiatives from concept to production. What You'll Do Design and build GenAI solutions using LLMs, RAG and prompt engineering Develop Agentic AI systems for automation and orchestration Build and deploy ML models for business use cases Work across AWS services including Bedrock, SageMaker, Lambda and ECS/EKS Lead AI innovation and enterprise transformation projects Collaborate cross-functionally and mentor other engineers What We're Looking For 7+ years' software engineering experience, with 2+ years hands-on in AI/ML and GenAI Strong Python and Java skills Experience with LangChain, LlamaIndex, CrewAI or similar frameworks Knowledge of RAG, vector databases and semantic search AWS expertise (Bedrock and SageMaker preferred) Experience with APIs, microservices and cloud-native architecture Nice to Have AWS certifications (ML or Architect) MLOps, CI/CD and Responsible AI experience Exposure to multi-agent systems and AI governance
AI Security Tester Location: Berkshire, hybrid with occasional onsite travel Type: Permanent | Up to £60K Clearance: SC Cleared or eligible The Role As an AI Security Tester, you'll simulate real-world attacks to uncover vulnerabilities in AI/ML systems, from stress-testing model guardrails to identifying data privacy risks, ensuring secure and trustworthy AI deployments. What You'll Do Conduct adversarial testing to challenge AI model safety and guardrails Perform penetration testing and fuzzing of AI systems Identify risks such as data poisoning, model evasion, hallucinations and bias Validate data privacy controls, including PII handling and encryption Simulate attack scenarios and exploit attempts Document vulnerabilities, unexpected behaviours and evidence in lower environments Analyse threat vectors and recommend mitigation strategies What We're Looking For 5+ years in offensive cybersecurity (AppSec, pen testing, red teaming) Minimum 2 years focused on AI/ML security Strong Python and Java programming skills Hands-on experience with ML frameworks such as PyTorch or TensorFlow Familiarity with AI tooling (LangChain, LlamaIndex, red-teaming toolkits) Proven ability to assess and secure AI systems end-to-end Nice to Have Master's in Computer Science, Cybersecurity, AI/ML or related field CISSP or AI security/safety certifications
10/09/2026
Full time
AI Security Tester Location: Berkshire, hybrid with occasional onsite travel Type: Permanent | Up to £60K Clearance: SC Cleared or eligible The Role As an AI Security Tester, you'll simulate real-world attacks to uncover vulnerabilities in AI/ML systems, from stress-testing model guardrails to identifying data privacy risks, ensuring secure and trustworthy AI deployments. What You'll Do Conduct adversarial testing to challenge AI model safety and guardrails Perform penetration testing and fuzzing of AI systems Identify risks such as data poisoning, model evasion, hallucinations and bias Validate data privacy controls, including PII handling and encryption Simulate attack scenarios and exploit attempts Document vulnerabilities, unexpected behaviours and evidence in lower environments Analyse threat vectors and recommend mitigation strategies What We're Looking For 5+ years in offensive cybersecurity (AppSec, pen testing, red teaming) Minimum 2 years focused on AI/ML security Strong Python and Java programming skills Hands-on experience with ML frameworks such as PyTorch or TensorFlow Familiarity with AI tooling (LangChain, LlamaIndex, red-teaming toolkits) Proven ability to assess and secure AI systems end-to-end Nice to Have Master's in Computer Science, Cybersecurity, AI/ML or related field CISSP or AI security/safety certifications