ISx4 Group

Job Role We are hiring a Graduate AI Engineer to help build a reusable agentic AI platform and a series of related agentic workflow systems. You will work with senior AI engineers and business stakeholders to implement Python components, prepare domain packs, generate synthetic training and evaluation data, validate structured model outputs, build small backend services, and support experiments with LLMs and small domain-specific models. This role suits a recent graduate who wants to learn how real AI products are built: beyond notebooks and chatbot demos, into tested, observable, auditable systems that can support business workflows safely. The graduate will also get involved across several agentic AI system builds, learning how reusable platform components become practical workflow products for different business domains. Key Responsibilities Implement platform components: Build well scoped Python modules for pack loading, validation, data generation, evaluation and reporting. Support domain pack development: Help convert business knowledge into structured intents, tools, policies, seed cases, eval cases and operating prompts. Build testable AI workflows: Use simple graph/workflow patterns, structured outputs and validation rules to support safe next action proposals. Create evaluation assets: Prepare golden datasets, test cases, regression checks and review reports that show when the model is behaving correctly. Improve reliability: Add unit tests, integration tests, error handling, logging and simple observability for AI/data pipelines. Document clearly: Write concise technical notes, diagrams, README updates and handover material for reusable ISx4 assets. Learn production AI practice: Develop understanding of prompt injection, PII boundaries, audit trails, human in the loop controls, model cost and latency. Collaborate with the team: Work AI & Analytics team to turn platform milestones and related agentic system builds into shipped software increments. Key Requirements Strong Python fundamentals: functions, classes, typing basics, virtual environments, packages and debugging. Ability to write readable code and tests using pytest or comparable testing tools. Comfort with Git, GitHub, pull requests and working from issues or implementation briefs. Basic backend/API understanding: HTTP, JSON, REST APIs and environment variables. Familiarity with SQL or structured data handling in Python. Ability to work with YAML/JSON configuration, schemas and validation logic. Some exposure to AI/ML/LLMs through coursework, dissertation, internship or self directed projects. Clear written communication and willingness to document assumptions, limitations and next steps.

ISx4 Group in Belfast seeks a Graduate AI Engineer to help build a reusable agentic AI platform and related workflow systems. You will implement Python components, generate data, validate outputs and support experiments with LLMs in a practical, auditable environment. This role suits a recent graduate eager to move beyond notebooks into production AI products, learning domain packs, testing, and documentation while collaborating with senior engineers and business stakeholders.

ISx4 Group is seeking an AI Engineer to develop and maintain customer-facing AI agent capabilities in the United Kingdom. The role emphasizes engineering excellence in distributed systems, orchestration, and production operations, involving technologies like Akka, AWS, and Postgres. The ideal candidate will have a strong background in Java engineering, with experience building reliable services and a commitment to operational readiness. This position offers opportunities to contribute to innovative AI solutions in a collaborative team environment.

ISx4 Group is seeking an experienced Project Manager to lead the delivery of complex technology and data initiatives in a secure, regulated environment. The role requires active SC clearance and the ability to manage scope, timelines, budgets and governance to achieve agreed outcomes. You will coordinate cross-functional teams, suppliers and third parties, maintaining strong relationships with business and technical stakeholders while ensuring delivery quality and compliance.

Job Role We are looking for a Data Engineer to design, build and operate scalable data pipelines and data platform capabilities within a modern lakehouse architecture. You will work in a collaborative agile engineering team delivering production grade data solutions using Databricks, Spark, Python and SQL in a cloud environment. The role focuses on developing robust data pipelines, ensuring high data quality and enabling analytics and data product delivery for enterprise clients. Key Responsibilities Design and implement ELT/ETL pipelines using PySpark and Databricks Build scalable batch and streaming data pipelines using Spark and Kafka, develop optimised SQL and Python pipelines for data transformation and integration, and integrate external data sources using REST APIs and data ingestion frameworks Optimise Spark jobs and cluster performance for reliability and cost efficiency, implement data quality checks, validation and monitoring Apply CI/CD practices and version control for pipeline deployment Work closely with solution architects, DevOps engineers and business analysts to deliver data products, produce technical documentation, architecture diagrams and operational runbooks Key Requirements 3+ years experience building production data pipelines Hands on experience with Databricks, Spark and PySpark; experience with Delta Lake, Unity Catalog and Databricks Working experience with data pipeline design, testing and deployment; familiarity with test driven development, CI/CD practices and Git based development Strong collaboration and communication skills Working knowledge of Hadoop REST APIs and Kafka experience Nice to Have Cloud experience with AWS, Azure or GCP; certifications in Databricks, AWS or data engineering Infrastructure as Code (Terraform); orchestration with Airflow or AWS Glue; streaming technologies including Structured Streaming; observability tooling for data pipelines Experience working with regulated industries such as banking or financial services Databricks experience is preferred; training will be offered to strong candidates.

ISx4 Group is seeking a Data Engineer to design, build and operate scalable data pipelines within a modern lakehouse architecture. You will work in a collaborative agile team delivering production-grade data solutions using Databricks, Spark, Python and SQL in a cloud environment. You will focus on robust data pipelines, data quality, and analytics enablement for enterprise clients, collaborating with architects, DevOps, and analysts to deliver data products and comprehensive runbooks.

Job Role As Delivery Manager, you will be the key person ensuring our projects are delivered on time, on budget, and to the exceptional standard our clients expect. You will act as the bridge between clients, our technical teams, and leadership. Key Responsibilities Project Delivery Leadership: Own end-to-end delivery of analytics & AI engagements. Ensure projects meet scope, quality, budget, and timeline commitments. Client Relationship Management: Serve as the primary point of contact for delivery matters. Manage expectations, facilitate workshops, provide regular status reporting, and handle escalations professionally. Resource & Team Management: Work closely with Practice Leads to allocate resources Support team well-being, workload balancing, and knowledge sharing in a small-firm setting. Commercial Oversight: Track project financials; Utilization. Identify change requests / upsell opportunities and work with sales/consulting leads to secure them. Process & Methodology: Champion pragmatic agile practices tailored to data/AI work Continuously improve our delivery playbook. Risk & Quality Management: Proactively identify risks, dependencies, and technical blockers. Ensure robust quality assurance, documentation, and knowledge transfer to clients. Business Growth: Contribute to proposals, scoping sessions, and capability development. Help shape our service offerings as we expand into new AI domains. Mentorship: Coach junior PMs/consultants and support the professional growth of delivery talent. Key Requirements 7 + years experience in delivery/project/program management, ideally in data analytics, AI/ML, technology consulting, or professional services. Strong commercial acumen: experience managing project P&L and margins. Excellent stakeholder management and communication skills; confident presenting to C-level clients. Hands-on experience with agile methodologies and tools (Jira, Confluence, MS Project, or similar). Ability to understand technical concepts and translate them for non-technical audiences.

ISx4 Group is seeking a Delivery Manager in Belfast to lead end-to-end analytics and AI engagements. You will bridge clients, technical teams, and leadership, ensuring projects deliver on scope, time, and budget. The role requires strong stakeholder management, commercial acumen, and hands-on Agile experience with Jira, Confluence, and MS Project. As part of a small firm, you will mentor junior PMs, manage resources, and help shape delivery services as AI domains expand.

ISx4 Group is seeking a Data Engineer specialized in Databricks to design and build scalable data pipelines. The role involves collaborating within an agile team to deliver high-quality data solutions for enterprise clients in a remote capacity. Candidates should have over 3 years of experience in developing production data pipelines using tools like Databricks, Python, and SQL. The position requires strong collaboration and communication skills, along with a passion for data engineering.

ISx4 Group is seeking a Databricks DevOps Engineer in Belfast, UK, focused on designing and operating secure and scalable data platforms on AWS. The role emphasizes infrastructure automation, CI/CD implementation, and reliable data product delivery. Key responsibilities include building ELT/ETL pipelines, optimizing data jobs, and collaborating closely with solution architects and DevOps engineers. Ideal candidates have 3+ years of experience with Databricks and Spark.

Job Role We are recruiting a Senior Project Manager, with experience in the digital, data and technology world. The successful candidate will have commercial awareness and be responsible for all aspects of project management, including the direction, planning and budgeting, coordination, implementation, execution, and completion of specific projects while ensuring consistency with overall strategy, commitments, and goals. You will gain fantastic experience working in the cloud with data analytics, AI and Machine Learning. The successful candidate will have 10 plus years of working with data projects, including leading teams and presenting business outcomes to key stakeholders. Key Responsibilities Successfully manage relationships with the client and partner organization. Lead and coordinate project planning, resourcing, supply and subcontract management, progress reporting, troubleshooting, and budget management. Prepare and deliver presentations to senior management (CXO) levels Manage services related revenue target including opportunity pipeline/funnel development, risk assessment, cost/benefit analysis as well as forecast signed services revenue and resource requirements for proposed services engagements Communicate and track regularly on the status of project goals by ensuring project results meet requirements regarding quality, reliability, schedule, and cost. Monitor performance and recommend changes to the plan, cost and resource allocations. Provide direction and support to project team to ensure accomplishment of agreed upon goals, objectives, and deadlines. Assemble and coordinate project staff while managing resource availability and allocation. Report on progress of project to all stakeholders by presenting reports defining project progress, problems and solutions. Locate and define new process improvement opportunities Manage ongoing services engagements as well as generate new services revenue resulting from continuous engagements with assigned customers Responsible for success of analytics initiatives, programmes or functions of assigned customers through continuous customer engagement. Build long-term relationships through competence, trust and credibility with stakeholders and executives across the customer's organization. Key Requirements 10 plus years working experience as a Senior Project Manager Knowledge of data management and transformation projects Bachelor's degree in Computer Science or similar area Ability to lead project teams and gain consensus Excellent organizational and problem-solving skills Ability to manage multiple initiatives simultaneously Excellent negotiation, facilitation, and presentation skills Ability to analyse solutions for the project and internal customers Ability to design and support improvement processes Ability to manage budgeting process and analyse budget performance Ability to travel, as needed Nice to Have Additional data and analytics project experience to include, e.g., python, R, IBM Watson, tableau, Power BI and other industry standard technologies Experience in the use of DevOps tools such as Git/Azure DevOps/Jenkins/Docker/Kubernetes Experience working with Cloud Service Providers (Azure/AWS/GCP) Preference will be given to those who have experience working in the counter fraud space Proficient written and verbal French communication skills would be an additional nice to have