18 of 18 Contract Prompt Engineering Jobs in England

Hybrid If Hybrid, how many days are required in office?: 3 days The Role In this role, the candidate will join a cutting-edge engineering team focused on designing and implementing enterprise-grade AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. The position offers … secure, scalable, and high-performing AI solutions, including document intelligence workflows, generative AI applications, and retrieval-augmented systems. This includes working on model orchestration, prompt engineering, document extraction pipelines, and system integrations with enterprise platforms such as CRM, ERP, and workflow automation tools. The role requires close collaboration ...

applications, and retrieval augmented systems integrated with core enterprise platforms. You will collaborate closely with business stakeholders, product owners, security and compliance, data engineering, and application teams to translate business outcomes into actionable AI roadmaps and solution designs. You will also guide implementation teams on best practices for prompt engineering, grounding strategies, RAG patterns, observability, MLOps, and Responsible AI-ensuring solutions are robust, compliant, and production ready. This role suits a hands on architect who can balance strategic vision with pragmatic delivery, establish engineering standards, and mentor developers while owning architectural decisions and non functional requirements ...

LLMs with enterprise data MLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying … MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric ...

Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc.). Fine-tuning and prompt engineering. Experience with vector similarity search. Knowledge of popular vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus. Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging ...

APIs, tools, databases, and front-end interfaces Collaborating with product managers, designers, and engineers across the business Contributing to system architecture, technical design, and engineering best practices Supporting rapid prototyping, experimentation, and iteration of AI-driven features Ensuring solutions are robust, secure, and production-ready About You Essential experience … Demonstrable, hands-on experience building agentic AI systems Strong experience with LangChain (or similar agent frameworks) Solid full stack engineering background (e.g. Python and/or TypeScript, APIs, modern front-end frameworks) Experience working with LLMs, prompt engineering, and agent orchestration Comfortable working in agile, collaborative engineering ...

APIs, tools, databases, and front-end interfaces Collaborating with product managers, designers, and engineers across the business Contributing to system architecture, technical design, and engineering best practices Supporting rapid prototyping, experimentation, and iteration of AI-driven features Ensuring solutions are robust, secure, and production-ready About You Essential experience … Demonstrable, hands-on experience building agentic AI systems Strong experience with LangGraph (or similar agent frameworks) Solid full stack engineering background (e.g. Python and/or TypeScript, APIs, modern front-end frameworks) Experience working with LLMs, prompt engineering, and agent orchestration Comfortable working in agile, collaborative engineering ...

them. Implement identity & access (Entra ID), data isolation, Key Vault secrets, network security (Private Endpoints), and content filtering. Embed Responsible AI practices: safety filters, prompt/content governance, data privacy, red-teaming guidance, and human-in-the-loop review where needed. Ensure regulatory alignment (e.g., GDPR, ISO controls … SLIs/SLOs for AI services. Drive FinOps disciplinecapacity planning, token/cost controls, caching strategies, and model selection/optimization. Mentor engineers on prompt engineering, grounding, tool-use patterns, and quality evaluation frameworks. Essential skills: 15+ years overall in software/solution architecture with 7 + years ...

tune Large Language Models (LLMs) and other generative architectures. Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning. Experiment with model configurations to balance performance, cost, and scalability. Build robust data pipelines for continuous model improvement ...

deployment of on-premises, hybrid, and cloud-native AI solutions. GenAI Implementation: Hands-on deployment of Azure OpenAI, Vector Databases, and RAG patterns. Data Engineering: Oversee large-scale data processing using Python and PySpark to support AI model fine-tuning. Leadership: Manage technical delivery teams and deliver upskilling sessions … customer. Stakeholder Management: Gain consensus on complex technical roadmaps with diverse client groups. Technical Skills & Experience Core AI: Azure OpenAI, Prompt Engineering, Cognitive Search, Form Recognizer. Data/Coding: Expert-level Python, PySpark, and Vector DB integration. Ops: Practical knowledge of MLOps and LLMOps lifecycles. Security: Must hold ...

Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super-user, applying prompt engineering and creating AI artifacts. Work independently while providing clear justification for technical decisions. Key Skills & Experience Strong experience in data pipeline development ...

first - sought by trading company based in London - Contract (OUTSIDE IR35 - Remote option available for outstanding candidates) What We're Looking For Backend Engineering Expertise 8+ years of software engineering experience with strong Java backend skills. Proven track record in modernising production systems and designing APIs/microservices. … Code, GitHub Copilot) and Model Context Protocol (MCP). Experience integrating AI into CI/CD pipelines and building AI-powered automation. Knowledge of prompt engineering, model selection, and LLM capabilities. Proven AI Impact Demonstrated success in using AI to improve productivity and code quality. Experience with ...

first - sought by trading company based in London - Contract (OUTSIDE IR35 - Remote option available for outstanding candidates) What We're Looking For Backend Engineering Expertise 8+ years of software engineering experience with strong Java backend skills. Proven track record in modernising production systems and designing APIs/microservices. … Code, GitHub Copilot) and Model Context Protocol (MCP). Experience integrating AI into CI/CD pipelines and building AI-powered automation. Knowledge of prompt engineering, model selection, and LLM capabilities. Proven AI Impact Demonstrated success in using AI to improve productivity and code quality. Experience with ...

least February 2027. What you'll need to succeed Experience or strong interest in NLP, LLMs and AI applications such as transformers, RAG or prompt engineering, preferably gained within the pharmaceutical, biotech, medtech or biomedical space Familiarity with Python and modern AI frameworks for text analytics, alongside data ...

best practices for content analytics. Core Skills & Competencies . Technical Skills: o Experience or interest in NLP and LLM applications (transformers, Retrieval-Augmented Generation, prompt engineering) o Familiarity with data visualization and scientific communication tools o Knowledge graph and ontology management o Python and AI frameworks for text … given upon application Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource ...

Government Digital Service) and NIST frameworks Conducting threat modeling, vulnerability assessments, and security audits for AI systems Advising stakeholders on secure AI development practices, prompt engineering, and safe AI agent deployment Supporting policy development and adherence to government security standards Collaborating with product, technical, and policy teams ...

reproducibility. Build and deploy machine learning models-including LLM-powered solutions -to solve real business problems. Partner with cross-functional teams (data science, software engineering, ML engineering) to develop full end-to-end production systems. Support architectural discussions and promote best practices in ML engineering and cloud … skills. Desirable Experience in banking or financial services. Exposure to customer-facing ML/AI systems. Familiarity with LLM fine-tuning, evaluation frameworks, or prompt engineering. Contract Details Location: London or Edinburgh Duration: 3-month initial contract Start: ASAP Working model: Hybrid Guidant, Carbon60, Lorien & SRG - The Impellam Group ...

execute adversarial testing, red-teaming, and stress-testing for LLMs. Knowledge of LLM security vulnerabilities, ethical AI principles, and AI compliance frameworks. Experience in prompt engineering, and analyzing LLM behavior under adversarial conditions. Awareness of emerging trends in AI security and LLM testing techniques. ...

Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce high-quality training and benchmarking … Proven experience in adversarial testing and model alignment. Tech Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline ...