Staffworx

About the Company

Staffworx | Global Talent Partner - digital commerce, software and consulting sectors for 25 years

www.staffworx.co.uk/vacancies

+44 7710445593 / james.kirk@staffworx.co.uk
Based: London, UK

25 years recruiting in the online retail, business consulting, financial services, software development and digital transformation sectors, sourcing and supplying subject matter experts, innovators and leading lights in software engineering, business consulting, product and delivery management sectors to market leaders, unicorns and organisations that make a difference to the world.

IT recruitment, search & selection, online retail, digital commerce, industry 4.0, software, agile, devops, digital transformation, microservices, API first, mach, headless, contentstack, contentful, big commerce, commercetools, SAP Commerce Cloud, Unified Commerce, composable, Hubspot, Sales Navigator, CRM, SFCC, ncino, Java, Spring, functional programming, Clojure, Haskell, Elixir, Erlang, Rust, Scala, Kotlin, Go, AEM, fintech, blockchain, CBPR+, Payment Processing, R3 corda, idm, iam, TypeScript, Next.js, Node, Golang, javascript, AWS Serverless, Lambda, GCP, Azure, cloudflare, vercel, terraform, graphQL, spark, PySpark, BigQuery, kafka, big data, data engineering, data visualistion, google analytics, Firebase, data governance, Collibra, cloud migration, OKTA, identity management, OAuth2, MFA, python, Kubernetes, AI, NLP, ML, github, PIM, data science, machine learning, business analyst, implementation, service design, user research, product manager, devops, project manager, delivery manager, Saas, PaaS, CCaaS, Symphony GOLD, integration, UI, UX, professional services, MarTech, marketing cloud, Adobe Workfront, Google Workspace, Slack, Atlassian, AEM Assets, Target, Campaign Manager, Audience Manager, Marketo, crypto, Banking as a Service, toplinkedin.com, VR/AR, MongoDB Atlas, NoSQL, Debezium, Databricks, Delta Lake, lowcode, Rust, social commerce, design blueprints, Firefly

Listed Jobs

Company Name

Staffworx

Job Title

AI Prompt Engineer (technical engineering)

Job Description

**Job Title:** AI Prompt Engineer (Technical Engineering) **Role Summary:** Design, develop, and deploy large‑language‑model (LLM) solutions that integrate advanced prompting, retrieval, and agent orchestration into end‑to‑end GenAI workflows. Deliver scalable, high‑performance LLM APIs and RAG pipelines across cloud platforms, ensuring model quality, observability, and responsible AI practices. **Expectations:** - Deliver production‑ready, optimized prompts and inference pipelines for multiple frontier LLMs (GPT‑4/5, Claude, Gemini, Mistral, LLaMA, Cohere). - Build and maintain LLM‑centric microservices, serverless functions, and container‑based deployments. - Apply advanced prompting techniques (CoT, ReAct, Tree‑of‑Thought, multi‑agent orchestration). - Implement robust LLMOps/PromptOps with monitoring, benchmarking, and bias mitigation. - Collaborate cross‑functionally with data science, product, and DevOps teams. **Key Responsibilities:** - Engineer prompt logic and optimization strategies for diverse LLMs. - Develop RAG pipelines using hybrid search, reranking, chunking, and embedding tuning. - Build APIs, FastAPI or microservice endpoints; containerize with Docker, Kubernetes, KNative. - Integrate vector databases (Pinecone, Weaviate, Milvus, ChromaDB). - Deploy models via Azure ML, AWS SageMaker, Vertex AI, Databricks, Modal. - Use LLMOps tools (Weights & Biases, LangSmith, LangFuse, PromptLayer, Helicone, Humanloop). - Conduct structured evaluation with Ragas, DeepEval, and custom hooks. - Maintain infrastructure, perform quantization, distillation, batching, routing. - Document architectures, APIs, and best practices for internal knowledge base. **Required Skills:** - Python 3.x (transformers, LangChain, LlamaIndex, Haystack). - Experience with LLM prompting, embeddings, retrieval, and data prep. - Proficient in vector DBs (FAISS, Pinecone, Milvus, Weaviate, ChromaDB). - Linux, Bash/Powershell, containerization, cloud devops. - Familiarity with orchestration frameworks (AutoGen, CrewAI). - Knowledge of LLMOps/PromptOps, observability, and benchmarking tools. - Strong communication, system‑thinking, and adaptability. **Required Education & Certifications:** - Bachelor’s or higher in Computer Science, AI/ML, or related engineering field. - Certifications in cloud ML services (Azure ML, AWS SageMaker, Vertex AI) or LLMOps tools are a plus.

London, United kingdom

Hybrid

17-11-2025

Company Name

Staffworx

Job Title

Senior Digital Analyst (Web Analyst, Technical CMP Analyst, Consent Management Platform)

Job Description

Job title: Senior Digital Analyst (Web Analyst, Technical CMP Analyst, Consent Management Platform) Role Summary: Lead hands‑on technical management of Consent Management Platforms (CMP) across web and mobile ecosystems. Audit and validate SDK integrations, ensure accurate consent signal propagation, and execute remediation for compliance with privacy regulations. Expactations: - Deliver thorough technical audits of CMP implementations. - Maintain and improve end‑to‑end consent flows. - Provide expert guidance to cross‑functional teams on privacy and compliance. - Document processes, audit findings, and best‑practice playbooks. Key Responsibilities: - Configure, test, and troubleshoot CMP solutions (OneTrust, TrustArc, Usercentrics, etc.). - Integrate and validate SDKs for ad, analytics, and marketing tools. - Audit technical CMP implementations for accuracy and regulatory compliance. - Onboard new applications and websites onto the CMP, ensuring seamless consent capture. - Validate end‑to‑end consent signal propagation across systems. - Execute technical remediations and log checks using Charles Proxy, Fiddler, or browser dev tools. - Produce audit reports, technical playbooks, and standard operating procedures. Required Skills: - Proven experience with CMP configuration and SDK integration (OneTrust, Sourcepoint, TrustArc, Usercentrics, Osana, Ketch, DataGrail, etc.). - Strong log‑auditing, debugging, and event‑validation skills (Charles Proxy, Fiddler, browser dev tools). - Familiarity with tagging and tracking frameworks (Google Tag Manager, Tealium, Adobe Launch). - Deep understanding of consent flows, privacy frameworks, and AdTech/MarTech ecosystems. - Ability to diagnose, troubleshoot, and remediate technical integration issues. - Excellent documentation and communication skills for cross‑team collaboration. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Systems, Marketing Technology, or related field, or equivalent professional experience. - Relevant certifications (e.g., Certified OneTrust Practitioner, Google Analytics Certified, Adobe Analytics Certified) are an advantage but not mandatory.

West london hq, United kingdom

On site

Senior

27-11-2025

Company Name

Staffworx

Job Title

AWS DevOps Engineer

Job Description

**Job Title:** AWS DevOps Engineer **Role Summary:** Support mission‑critical production platforms on AWS, ensuring stability, security, and performance while driving automation, observability, and reliability improvements. **Expectations:** * Deliver BAU and SRE responsibilities for AWS‑hosted services. * Maintain and scale containerized workloads (ECS & EKS). * Own infrastructure lifecycle via IaC and configuration management. * Participate in incident response, root‑cause analysis, and post‑incident reviews. **Key Responsibilities:** * Operate and optimize AWS ECS and Kubernetes (EKS) workloads. * Develop and maintain Terraform modules for infrastructure provisioning. * Implement configuration management with Ansible and/or Puppet. * Build, monitor, and troubleshoot CI/CD pipelines using GitHub Actions. * Own monitoring, logging, and alerting stack (Grafana, Prometheus, CloudWatch, Loki). * Contribute to security, backup, disaster recovery, and cost‑optimization strategies. * Collaborate with development, QA, and stakeholders to enable seamless releases. **Required Skills:** * Proven experience as a DevOps Engineer or SRE in production AWS environments. * Hands‑on proficiency with AWS ECS, Terraform, Ansible or Puppet, Grafana (Prometheus, Loki, CloudWatch). * Strong scripting abilities in Python, Bash, or similar. * Solid Linux system administration, networking, and security fundamentals. * Experience supporting 24/7 production systems and applying SRE principles. **Nice to Have:** * Service mesh, API gateway, or sidecar pattern experience on Kubernetes. * GitOps practices (ArgoCD, Flux). * Advanced Kubernetes/EKS expertise. * Familiarity with AWS security best practices and compliance frameworks. **Required Education & Certifications:** * No formal education or certification requirement specified; relevant experience is mandatory.

Staines-upon-thames, United kingdom

Hybrid

08-12-2025