4 of 4 Contract AI Jobs in Farnborough

Data & Analytics - Gen AI Engineers x 2 + fully remote contract + initially 6 months + £500 to £530 per day - Inside IR35 Key Skills: + Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine … summarization, document Q&A, report generation, code assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. + Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills … Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured More ❯

Data & Analytics - Gen AI Engineers x 2 + fully remote contract + initially 6 months + £500 to £525 per day - Inside IR35 Key Skills: + Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine … summarization, document Q&A, report generation, code assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. + Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills … Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured More ❯

of risk assessment in an agile delivery environment. Exceptional team working ethic and interpersonal skills. Have a good understanding of modern IT technologies and services, such as Cloud Computing, AI (ISO42001), Mobile Computing, IT Security, Infrastructure technologies, Zero Trust, Data at Rest/In Transit Cryptography, Cross Domain Solutions and demonstrate an understanding of security architecture both physical and cloud … including Azure, Amazon Web Service, Key Management Systems, Containerisation, Network Security Groups, Host based firewalls, Web Application Firewalls Physical Network Infrastructure, Anti-Patterns, Network Firewalls, IDS/IPS, DMZs AI use cases, secure configuration (ISO42001 knowledge preferable), ITHC scoping and remediation action plans. If you're interested in learning more - please apply or reach out to Reasonable Adjustments: Respect and More ❯

to ensure project milestones and deadlines are met. Key Responsibilities Define the architecture for blockchain-based KYC and identity verification systems. Design smart contracts and distributed workflows integrated with AI-based onboarding platforms. Collaborate with AI, compliance, and engineering teams to ensure alignment with regulatory standards and data protection requirements. Provide technical leadership , guiding the team in best practices for More ❯