4 of 4 Permanent Prompt Engineering Jobs in the East of England

impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI. Fine-tune and evaluate open-source LLMs, applying techniques such as prompt engineering and model re-tuning. Work with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data … business needs. Document workflows, data pipelines, and model processes for knowledge transfer and reproducibility. Key Skills & Experience: 4-5 years' experience across AI/ML, data science, or data engineering, with recent hands-on work in GenAI. Proven experience fine-tuning and deploying open-source LLMs. Strong knowledge of AI/ML algorithms and techniques (supervised, unsupervised, reinforcement learning … . Solid background in data preprocessing, wrangling, and feature engineering. Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. Experience with big data tools More ❯

cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or accreditations in data science, AI, or cloud technologies. Expertise in prompt engineering. Prior experience with ethical AI practices and data privacy is highly desirable. Connect to your business - Enabling Functions Collaboration is central to everything we do at Deloitte. From More ❯

detail, translating rigorous mathematical concepts to non-experts Work in a fast-paced, collaborative, dynamic environment Mentor and develop team members Basic Qualifications Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience 8+ years of consulting experience with Data and AI/ML solutions and 8+ years defining long-term product/solution roadmaps with … Experience with AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3, EC2); AWS Certification (Solutions Architect Associate, ML Engineer Associate) preferred Knowledge of AI/ML, generative AI; hands-on prompt engineering and deploying hosting Large Foundational Models Experience with automation/scripting (e.g., Terraform, Python) and security/compliance standards (e.g., HIPAA, GDPR) Amazon is an equal opportunities More ❯

backend code to integrate AI services into business workflows and customer-facing applications. API Integration : Build robust, secure integrations with third-party APIs (OpenAI, ElevenLabs, etc.) using backend languages. Prompt Engineering : Craft and refine prompts to achieve consistent, reliable AI outputs. System Design : Architect workflows and services that are maintainable, scalable, and secure. Deployment & Maintenance : Package and deploy … with API consumption, authentication, and integration . Familiarity with cloud platforms (AWS, GCP, Azure). Ability to design and implement production-grade backend services . Solid understanding of software engineering practices : version control, testing, CI/CD, monitoring. Experience translating business needs into coded AI solutions . Desirable Skills Familiarity with LangChain, LlamaIndex , or similar orchestration frameworks. Experience with More ❯