101 to 125 of 129 Prompt Engineering Jobs in England

skills/knowledge/experience: Strong experience in data analysis using Python (Pandas, NumPy) and SQL Good understanding of Generative AI concepts (LLMs, embeddings, prompt engineering) Experience working with structured and unstructured data (text, logs, transaction data) Knowledge of financial crime domains (AML, KYC, transaction monitoring, fraud) Familiarity ...

design, build and enhance scalable software solutions that deliver enterprise-grade technology capabilities. Working closely with product, architecture and business stakeholders, you will guide engineering standards, influence strategy, and ensure secure, high-quality delivery. Key responsibilities include: Leading the design and delivery of robust, scalable software using modern engineering … performance optimisation Mentoring and developing engineers, fostering a high-performance culture Managing risk, governance and controls within a regulated environment Contributing to broader engineering strategy and innovation communities What Theyre Looking For: Strong Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services ...

design, build and enhance scalable software solutions that deliver enterprise-grade technology capabilities. Working closely with product, architecture and business stakeholders, you will guide engineering standards, influence strategy, and ensure secure, high-quality delivery. Key responsibilities include: Leading the design and delivery of robust, scalable software using modern engineering … performance optimisation Mentoring and developing engineers, fostering a high-performance culture Managing risk, governance and controls within a regulated environment Contributing to broader engineering strategy and innovation communities What Theyre Looking For: Strong Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services ...

capability, particularly across Generative AI and NLP, ensuring measurable commercial impact and scalable technical delivery. This is a hands-on leadership role combining engineering excellence, AI innovation and team development. As a Lead AI Engineer , you will: Lead and mentor a growing team of AI Engineers … Contribute to shaping the enterprise AI and GenAI roadmap Ensure AI solutions are robust, scalable, secure and commercially measurable Key Responsibilities: Technical Leadership Set engineering standards and best practices for AI development Guide architecture across NLP, LLM integration, and ML model deployment Oversee model evaluation, monitoring, and continuous improvement ...

grow and advance. Accentures Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accentures broader Strategy and Consulting practice, we are able to bring together the unique ability to drive … digital analytics Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams ...

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 ...

lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context. Learning and Development: Keeping ...

provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from ...

fast-growth environments) Role 1: AI Engineer Expert-level Python with exposure to frontend technologies (TypeScript/React preferred) Hands-on experience with LLMs, prompt engineering, and evaluation frameworks Ability to ship AI-powered features end-to-end Minimum 3 years of experience Role 2: Applied AI Engineer … Strong backend engineering experience (Python preferred) Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows Experience building RAG pipelines and AI agent orchestration systems Minimum 5 years of experience 📩 Interested? Message me here or email mmatysik@trg-uk.com ...

Develop APIs and services that integrate LLMs with existing AI, data and platform systems Optimise solutions for performance, reliability, latency and cost Collaborate with engineering, AI and product teams to identify and deliver high-value use cases Ensure all solutions meet security, compliance and data governance standards What … Client Is Looking For Essential Proven experience deploying LLMs in production Strong Python development skills Hands-on experience with: Prompt engineering and evaluation Retrieval-Augmented Generation (RAG) Embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma) Experience building LLM-backed services using FastAPI/Flask or similar Strong ...

grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive … digital analytics Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams ...

lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context. Learning and Development: Keeping ...

Terraform or similar)AI Integration • Experience interfacing with LLMs and related tooling • LangChain, RAG architectures, or similar frameworks • Conceptual understanding of vector databases and prompt engineering Nice to Have • Python for experimentation or prototyping • Experience with secure data handling in regulated industries ● Familiarity with ontologies, taxonomies, or knowledge ...

roadmap, value hypothesis, MVP definition and commercial case across Data and AI initiatives. AI Test Lead defining AI specific test strategy across LLMs, prompt behaviour, guardrails, bias, traceability and risk controls in regulated environments. AI Specialist hands on delivery across Azure AI, Copilot, Power Platform, prompt engineering ...

client who is looking to engage experienced contractors to help design and deliver production-grade AI agents on AWS Bedrock. This is not a prompt-engineering or basic LLM integration role. The focus is on engineers who have built end-to-end agent systems in real production environments … observability in production deployments What we’re looking for: Proven experience shipping agentic systems into production, not just experimentation or prototypes Strong AWS engineering background across serverless, data, and security patterns Ability to translate real business problems into robust AI agent architectures *Unfortunately, due to the high volume ...

Responsibilities as a Lead AI Engineer: Support and develop a small team, helping them grow and progress. Work with leaders to set and improve engineering and R&D standards. Shape the AI roadmap across both use cases and technology. Partner with senior stakeholders to understand processes and data, identifying … customer value. Comfortable working both autonomously and collaboratively in a fast-paced, cross-functional environment Strong experience with advanced NLP, including developing models, prompt engineering and fine-tuning LLMs in a commercial setting. Due to the volume of applications received for positions, it will not be possible ...

meaningful, production-focused AI innovation. What youll work on Develop or apply advanced techniques across: Graph-based information retrieval Contextualization and personalization models LLM prompt engineering and post-training Synthetic data generation Evaluation methods for LLM-based systems Design and build scalable end-to-end prototypes that … learning modelling and experimentation. What Were Looking For Required Qualifications: Completed or currently pursuing a PhD/Doctorate in Computer Science, AI, Machine Learning, Engineering, or a closely related field. Strong problem-solving abilities with hands-on experience in: Predictive modelling Data mining Statistical analysis Machine learning algorithms ...

reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated ...

reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated ...

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 ...

data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling ...

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 ...

guidance on platform capabilities, architecture patterns, and best practices. Agent Design & Deployment: Design and build custom Agentforce Agents for autonomous workflows, including intent design, prompt templates, and natural language interactions. Technical Integration: Architect end-to-end solutions that unify Salesforce Data Cloud and Agentforce to ensure agents have … profiles. Team Leadership: Lead squads of developers, business analysts, and testers; act as an escalation point for technical issues and mentor the team on prompt engineering. Governance & Testing: Utilize the Agentforce Testing Center to validate agents and track performance metrics to execute iterative improvements. Stakeholder Management: Build strong relationships ...

service levels Strong communication abilities, especially in simplifying technical concepts for non-technical users and collaborating across teams Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools ...