ISx4 Group

ISx4 Group is seeking a Technical Business Analyst to act as the bridge between business stakeholders and engineering teams in the UK. The ideal candidate will translate business needs into structured requirements and support project delivery throughout the lifecycle. This role requires strong stakeholder management, experience with data projects, and proficiency in documentation tools like Jira and Confluence. SQL skills are essential for data profiling, alongside knowledge of Agile methodologies.

ISx4 Group is seeking an AI Engineer to develop and manage customer-facing AI agent capabilities in a collaborative team. The focus will be on building reliable, secure systems within a modern production environment using Akka and AWS. The ideal candidate should have a PhD or Master's in a relevant field and over 3 years of experience in production software development. Hybrid work flexibility is offered alongside a competitive package and opportunities for professional growth.

The Role We're looking for an AI Engineer to help build and run customer facing AI agent capabilities in production. You'll work in a team of highly skilled engineers delivering reliable, secure, and observable agent driven workflows. Our orchestration backbone is Akka (Java), deployed on AWS, with top observability/evaluation platform and Postgres + pgvector for retrieval. This is an engineering first role: you'll focus on distributed systems, orchestration, robustness, and production operations-bringing AI agent components into a dependable runtime. What You'll Do Build and operate customer facing services that incorporate AI agents and tool using workflows Integrate retrieval components using Postgres + pgvector (query patterns, latency considerations, embedding/retrieval flows) Instrument, monitor, and improve agent quality using observability tools (quality signals, evaluation/regression tracking, incident triage) Engineer for reliability and safety: timeouts, retries, idempotency, graceful degradation, auditability, and secure service integration Collaborate with product/engineering stakeholders to translate requirements into robust designs, delivery plans, and runbooks Must Have Requirements Eligible and willing to pass relevant background checks PhD or Master's degree in Computer Science / AI / Data Science / Machine Learning / Engineering (or equivalent practical experience) At least 3+ years post graduate experience delivering production software systems and building and operating scalable backend/distributed systems (high concurrency services, reliability patterns, production operations) Strong Java engineering skills and experience with concurrent/distributed systems Experience building customer facing services with high reliability expectations (timeouts, retries, observability, performance) Familiarity with AWS fundamentals for deploying and operating services (including security/IAM awareness) Strong engineering practices: testing, code review, CI/CD, documentation, and operational readiness Nice to Have Hands on experience with Akka in production (actors/streams; reliability patterns such as supervision) Python experience (useful for integrating AI/agent tooling and adjacent components) Experience with LLM/agentic systems (tool calling, structured outputs, evaluation practices) Experience with Arize (or similar ML/LLM observability tooling) Experience with Postgres + pgvector and retrieval optimisation Security by design experience for AI systems (PII handling, prompt injection mitigation, least privilege, audit trails) What We Offer Work on a state of the art high profile, production AI system with modern runtime and observability practices A collaborative Northern Ireland based engineering team with hybrid flexibility Competitive package and professional growth opportunities

The Role We are looking for a Technical Business Analyst to bridge the gap between business stakeholders and engineering teams delivering data platform capabilities. You will translate business needs into clear, structured and testable requirements and support delivery across the full project lifecycle. What You'll Do Facilitate stakeholder workshops to define business requirements Translate business objectives into technical specifications and user stories Document functional and non-functional requirements Analyse source systems, data flows and schemas Produce documentation in Jira and Confluence Support solution design and prioritisation with product owners Define and coordinate UAT testing Support release planning and Agile ceremonies Work with engineering teams to ensure requirements are correctly implemented Must-Have Requirements Strong stakeholder management and workshop facilitation Experience delivering data or analytics projects Experience writing user stories and acceptance criteria Experience with Jira and Confluence Strong documentation and communication skills SQL skills for data profiling and validation Understanding of Agile delivery frameworks Nice to Have Experience with Databricks, Snowflake or modern data platforms Knowledge of data modelling and metadata management Experience in regulated industries such as banking Familiarity with CI/CD and DevOps practices

Requirements: Must be UK Govt SC Clearable & living in the UK The Role We are seeking an experienced SAS Architect to design, implement, and govern enterprise SAS analytics platforms, with a strong focus on SAS Viya 4 cloud-native architecture. The role will be responsible for defining platform architecture, ensuring scalability, security, and performance, and guiding development teams delivering analytics and data solutions on SAS. The architect will collaborate with data engineering, DevOps, cloud infrastructure teams, and business stakeholders to deliver robust, enterprise-grade analytics platforms. What You'll Do Design and maintain the enterprise SAS platform architecture including SAS Viya 4 environments Define architecture for cloud-native SAS deployments (Kubernetes-based Viya) Ensure platform scalability, reliability, and high availability Produce and maintain architecture diagrams, design documentation, and technical standards Architect SAS Viya 4 deployments on Kubernetes Design integration with cloud platforms (AWS, Azure, GCP), enterprise data platforms, and CI/CD pipelines Define deployment strategies, upgrades, and environment management for Viya environments Design DevOps workflows for SAS Viya Infrastructure & Cloud Define infrastructure requirements for compute, storage, and networking Work with cloud and infrastructure teams to design container orchestration, auto-scaling strategies, and high availability Ensure platform performance and cost optimisation Design integration between SAS and enterprise data warehouses, data lakes, streaming platforms, APIs, and microservices Ensure efficient data ingestion, transformation, and analytics workflows Security & Governance Design authentication and authorization frameworks Implement data governance and access control policies Ensure compliance with security standards and regulatory requirements Technical Leadership Provide technical leadership to SAS developers and data engineering teams Define development standards and best practices Review solution designs to ensure alignment with enterprise architecture Nice to Have Experience with analytics and machine learning platforms Knowledge of Python, R, or open-source data ecosystems Experience integrating SAS with modern data platforms Financial services or regulated industry experience Experience migrating SAS 9 to SAS Viya 4

ISx4 Group is seeking an experienced SAS Architect in the United Kingdom to design and implement enterprise SAS analytics platforms, focusing on SAS Viya 4 cloud-native architecture. The role involves ensuring the architecture's scalability, security, and performance while guiding development teams. The ideal candidate will collaborate with data engineering, DevOps, and cloud teams to deliver robust analytics platforms. Security compliance and technical leadership are crucial to success in this position.