11 of 11 Contract Prompt Engineering Jobs in the South East

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 ...

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 ...

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 ...