AI EngineerRole OverviewWe are seeking an experienced AI Engineer to design, develop, deploy, and maintain AI and machine... Read more
We are seeking an experienced AI Engineer to design, develop, deploy, and maintain AI and machine learning solutions that deliver measurable business value. The ideal candidate will combine strong software engineering skills with practical experience in machine learning, generative AI, data, and cloud technologies.
The AI Engineer will work closely with data scientists, data engineers, architects, software engineers, and business stakeholders to translate business requirements into scalable, reliable, and production-ready AI solutions.
Key ResponsibilitiesDesign, develop, and deploy AI and machine learning solutions for business and operational use cases.Develop production-grade AI applications using Python and modern AI/ML frameworks.Build and integrate machine learning models into enterprise applications and data platforms.Develop solutions using Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) where appropriate.Design and implement AI-powered applications, services, APIs, and automation workflows.Integrate foundation models and AI services into enterprise technology environments.Develop and optimise prompt engineering, model orchestration, and evaluation approaches.Design and implement RAG architectures using enterprise data, vector databases, embeddings, and knowledge bases.Build data preparation, feature engineering, model training, and inference pipelines.Evaluate models and AI solutions for accuracy, reliability, performance, cost, and business effectiveness.Implement monitoring, observability, testing, and continuous improvement for AI systems.Apply responsible AI principles covering security, privacy, bias, explainability, and appropriate use of AI.Work with data engineering teams to ensure AI solutions have reliable and appropriately governed data.Collaborate with cloud and platform engineering teams to deploy scalable AI workloads.Implement CI/CD and MLOps practices to support repeatable and reliable model deployment.Troubleshoot model, application, data, performance, and integration issues.Keep up to date with developments in AI, machineGCS is acting as an Employment Business in relation to this vacancy.
Read lessBrussels, Brussels Hoofdstedelijk Gewest, BelgiumContract
AI Solutions Engineer (Contract)Location: Krakow - Hybrid Contract Length: Initial contract with extension potential Start Date: ASAPOverviewWe are... Read more
Location: Krakow - Hybrid
Contract Length: Initial contract with extension potential
Start Date: ASAP
We are seeking an experienced AI Solutions Engineer to identify, shape, and deliver AI-driven solutions that create measurable business value. Working closely with product and engineering teams, you will uncover high-impact opportunities, validate concepts through rapid prototyping, and ultimately build production-ready AI capabilities that improve customer outcomes, operational efficiency, resilience, and controls.
This is a hands-on engineering role where success is measured by delivering secure, scalable, and adoptable solutions into production. You will partner closely with AI Product Managers and platform teams to turn ideas into tangible outcomes across multiple workstreams.
Key ResponsibilitiesIdentify and qualify AI opportunities through data analysis, operational insights, process telemetry, and stakeholder engagement.Define and shape AI use cases, including problem statements, target users, success metrics, constraints, risks, and controls.Build rapid prototypes, proof-of-concepts, and technical spikes to validate feasibility and value.Engineer, deploy, and support production-grade AI solutions integrated with existing platforms and services.Integrate AI capabilities with APIs, data sources, authentication systems, audit tooling, monitoring, and logging frameworks.Establish KPIs, performance metrics, and monitoring capabilities to measure solution effectiveness and business value.Collaborate with product teams to prioritise opportunities and maintain a high-value delivery pipeline.Develop reusable assets including templates, reference architectures, shared libraries, standards, and implementation guides.Communicate progress, risks, dependencies, and technical recommendations to stakeholders.Support multiple concurrent initiatives within an Agile delivery environment.Essential Skills & ExperienceAI & AutomationProven experience building and delivering AI capabilities, tooling, or automation solutions.Strong understanding of AI solution design, implementation, and deployment.Experience identifying business problems and translating them into practical AI use cases.Software EngineeringStrong hands-on software engineering experience across the full development lifecycle.Experience designing, building, testing, deploying, and operating production services.Demonstrated ability to take prototypes and proofs of concept into enterprise-scale production environments.Strong experience with:PythonSQLAPIs and service integrationsData & AnalyticsStrong analytical mindset with experience using data to uncover opportunities and measure outcomes.Experience working with operational metrics, telemetry, logs, and product analytics.Ability to define meaningful KPIs and use insights to drive continuous improvement.Delivery & CollaborationExperience working closely with product and business stakeholders to solve complex problems.Comfortable operating in ambiguous environments and translating ideas into executable plans.Strong documentation, communication, and stakeholder management skills.Experience working within Agile delivery teams.Fluent English with the ability to collaborate across global and multicultural teams.Desirable ExperienceExperience delivering AI/ML or Generative AI solutions in production.Knowledge of:Retrieval Augmented Generation (RAG)LLM integrationsPrompt engineering and tooling patternsAI evaluation frameworksFamiliarity with Responsible AI principles including privacy, bias mitigation, auditability, and governance requirements.Experience working within regulated or highly controlled enterprise environments.Experience with:Kubernetes and containerisationCI/CD pipelinesInfrastructure as Code (IaC)API gatewaysSecrets managementObservability and monitoring toolingExperience creating reusable engineering frameworks, templates, and internal developer tooling that accelerate adoption across teams.What We're Looking ForYou are a pragmatic engineer who enjoys identifying opportunities, validating ideas quickly, and delivering measurable outcomes. You combine strong software engineering fundamentals with a passion for AI and automation, and you thrive in environments where you can influence direction while remaining hands-on with delivery.
Key Technology Focus: AI Development * Python * SQL * APIs * Automation * GenAI * Production Engineering * Cloud Platforms * Agile Delivery
GCS is acting as an Employment Business in relation to this vacancy.
Read lessPolandContract
Collibra Integration Engineer Role - Hybrid / Canary Wharf - 6 month Contract - Banking Tier 1 Bank... Read more
Collibra Integration Engineer Role - Hybrid / Canary Wharf - 6 month Contract - Banking
Tier 1 Bank - Regulatory Reporting Team
Role - Collibra Integration Engineer
Duration - 6 months with very likely extension
Location - Hybrid / Canary Wharf - 3 days per week in a Canary Wharf office
Rate - £430 per day (inside IR35)
Tasks
Administer and maintain the Collibra platform from an IT engineering perspective, including configuration, health monitoring, troubleshooting, and performance management across EMEA environments.Configure, schedule, and manage integrations using DIP/CDQ, EDGE, and Lineage Harvester, ensuring consistent ingestion of metadata, schemas, and lineage from multiple data sources.Perform connectivity and prerequisite validation with Application teams, ETL teams, and DBAs, including driver installation, credential management, network/firewall requirements and technical onboarding for new data sources.Investigate and resolve incidents related to Collibra integrations, lineage ingestion, and platform availability; collaborate with infrastructure teams to address root causes and prevent reoccurrence.Ensure configuration consistency across environments (DEV/QA/PROD), maintaining runbooks, documentation, and standard operating procedures.Provide regular, clear updates on operational status, risks, and issues to Development Managers and stakeholders.Additional Tasks
Support EMEA-wide Collibra platform stability by monitoring ingestion pipelines, schema drift, job failures, and performance degradation, ensuring reliable metadata and lineage availabilityMaintain technical documentation, including integration configurations, onboarding guides, troubleshooting logs and operational checklistsAssist with access control operations, ensuring proper provisioning, least-privilege consistency, and audit-readiness for regulatory requirementsParticipate in technical testing for new features, patches, and platform improvements, raising risks or gaps early in collaboration with vendor support and internal IT teams.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessLondon, England, United KingdomContract
SailPoint IIQ Integration Engineer6-Month Contract | Competitive Rate | DublinI'm currently supporting a leading organisation with an immediate... Read more
6-Month Contract | Competitive Rate | Dublin
I'm currently supporting a leading organisation with an immediate requirement for a hands-on SailPoint IIQ Integration Engineer to join an enterprise Identity & Access Management programme.
The focus is firmly on engineering, integration and delivery, so we're looking for someone who has hands-on experience building, configuring and delivering SailPoint IdentityIQ solutions within complex enterprise environments.
What you'll be doingDesigning, configuring and delivering SailPoint IdentityIQ (IIQ) solutionsDeveloping and supporting integrations between SailPoint and enterprise applicationsWorking with SailPoint connectors, provisioning and identity lifecycle processesDeveloping/configuring workflows, rules and lifecycle eventsSupporting Joiner, Mover and Leaver processesTroubleshooting and resolving integration and provisioning issuesWorking closely with technical and business stakeholders to deliver IAM solutionsContributing to the wider engineering and delivery of the IAM platformExperience we're looking forStrong hands-on experience with SailPoint IdentityIQ (IIQ)Proven experience in SailPoint integration and implementationStrong Identity Governance / IAM engineering backgroundExperience with SailPoint connectors and enterprise application integrationsExperience with provisioning and identity lifecycle managementKnowledge of SailPoint workflows, rules and configurationNetIQ / Novell eDirectory experience would be highly advantageousExperience with technologies such as Java, BeanShell, XML, REST/API, LDAP or Active Directory would be beneficialIf you're a SailPoint IIQ Engineer with strong integration and delivery experience, I'd be keen to speak with you.
Apply directly or email [email protected] for more information.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessRepublic of IrelandContract
Graduate Engineer Trainee (PLC & Warehouse Automation) Training Academy + Client Deployment Opportunities About the RoleAre you passionate... Read more
Graduate Engineer Trainee (PLC & Warehouse Automation)
Training Academy + Client Deployment Opportunities
About the Role
Are you passionate about automation, robotics, and industrial technology?
We are looking for enthusiastic Engineering Graduates who want to launch their careers in Industrial Automation, PLC Controls, and Warehouse Robotics. Selected candidates will undergo an intensive training program at our Automation Academy, where they will learn industry-leading technologies used in modern automated warehouses and robotic fulfillment centers.
After successful completion of the training program, engineers will be deployed to work on real-world warehouse automation projects involving robotics, PLC control systems, machine controls, simulation tools, and industrial software platforms.
This is an excellent opportunity for fresh graduates who are eager to build a career in Industry 4.0, Robotics, and Smart Manufacturing.
What You Will Learn
During the Academy Program, you will receive hands-on training in:
Industrial Automation FundamentalsPLC Programming ConceptsStructured Text (ST) ProgrammingCODESYS Development EnvironmentReading Electrical and Mechanical DrawingsJSON Configuration DevelopmentGit Version Control and CollaborationWarehouse Robotics and Conveyor SystemsIndustrial Networking BasicsEmulate3D Simulation SoftwareTroubleshooting Machine Control Systems
What You Will Do
After training, you will:
Read and interpret electrical and mechanical drawings.Create and maintain machine control configuration files.Support PLC-based machine control systems.Perform basic Structured Text programming modifications.Use CODESYS for troubleshooting and diagnostics.Analyze and resolve automation system issues.Participate in commissioning and testing activities.Work with robotics, conveyors, sensors, and industrial equipment.Use Git for version control and code reviews.Collaborate with senior controls and automation engineers.Support warehouse automation and robotic systems deployed at client locations.
Qualifications
Required
Bachelor's Degree or Diploma in:Electrical EngineeringElectronics EngineeringInstrumentation EngineeringMechatronics EngineeringAutomation EngineeringComputer Science EngineeringMechanical Engineering (with an interest in automation)Recent graduates (0-2 years experience)Strong analytical and problem-solving skillsBasic programming knowledge from academics or personal projectsGood communication skillsWillingness to learn new technologies and work in industrial environments
Preferred Skills
Exposure to any of the following is a plus:
PLCsRoboticsC/C++/Python/Java programmingIndustrial automation projectsEmbedded systemsGit/GitHubManufacturing or warehouse operationsElectrical circuits and control systemsGCS is acting as an Employment Business in relation to this vacancy.
Read lessSeattle, Washington, United States of AmericaContract
AI Engineer (Machine Learning)Remote (USA)About the RoleWe are seeking a talented and motivated Machine Learning Engineer I to... Read more
Remote (USA)
About the RoleWe are seeking a talented and motivated Machine Learning Engineer I to join our growing team. This is an exciting opportunity for an early-career professional who is passionate about building machine learning solutions that create meaningful user experiences at scale.
The ideal candidate enjoys solving complex problems, writing production-quality code, and collaborating with cross-functional teams to develop and deploy intelligent systems. You will work closely with data scientists, software engineers, and product teams to build and optimize machine learning models that drive business impact.
Key ResponsibilitiesDevelop, train, and deploy machine learning models for personalization, recommendations, and customer-focused applications.Build scalable data pipelines for feature engineering, model training, evaluation, and inference.Collaborate with data scientists and software engineers to transition research and prototypes into production systems.Improve recommendation and ranking models using large-scale behavioral and engagement data.Monitor and evaluate model performance through experimentation, A/B testing, and data-driven analysis.Write clean, maintainable, and efficient Python code following software engineering best practices.Support initiatives that enhance customer engagement and business outcomes through machine learning solutions.Required QualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.1-3 years of relevant experience, including internships, research, academic projects, or professional experience.Strong programming skills in Python.Solid understanding of machine learning fundamentals, including:Supervised learningClassification and regressionFeature engineeringModel evaluation and validationExperience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Experience working with SQL and large datasets.Familiarity with Git and software development best practices.Strong analytical and problem-solving skills.Why Join Us?Work on machine learning products that impact large-scale user experiences.Collaborate with highly skilled engineers, data scientists, and researchers.Gain hands-on experience deploying production-grade machine learning solutions.Grow your expertise in modern ML technologies and scalable systems.Flexible remote work environment with opportunities for learning and career development.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessUnited States of AmericaContract
Key ResponsibilitiesDesign, develop, and deploy AI orchestration solutions for Generative AI applications.Build AI workflows integrating Snowflake, ML models,... Read more
GCS is acting as an Employment Agency in relation to this vacancy.
Read lessUnited States of AmericaContract
Full Stack AI Engineer - AWS InfrastructureBuild the next generation of AI-powered solutions.We are seeking an experienced Full... Read more
Build the next generation of AI-powered solutions.
We are seeking an experienced Full Stack AI Engineer to join a cutting-edge team developing innovative AI applications powered by modern cloud technologies. Working across the full development lifecycle, you'll design, build, and deploy scalable AI solutions while leveraging the latest advancements in Generative AI and AWS cloud services.
This is a unique opportunity for an engineer who enjoys combining software engineering excellence with AI innovation to create intelligent products that solve real business challenges.
What You'll Be DoingDeveloping AI-powered applications from concept to productionDesigning scalable backend services using Python and modern frameworksBuilding intuitive frontend experiences using modern JavaScript technologiesIntegrating large language models, AI services, and intelligent workflowsDeveloping and maintaining cloud-native solutions within AWSCollaborating with architects, engineers, and business stakeholders to deliver high-impact solutionsKey SkillsStrong Python development experienceExperience building modern web applications using React or similar frameworksKnowledge of Generative AI, LLMs, RAG solutions, or AI agent frameworksAWS experience including serverless and cloud-native architecturesAPI development, microservices, and database design experienceStrong problem-solving and communication skillsWhy Join?Work on exciting AI and GenAI initiativesExposure to modern AWS cloud technologiesCollaborative and innovative engineering environmentOpportunity to influence the future of AI-driven productsReady to shape the future of AI?
Apply now or contact us for a confidential discussion about the opportunity
GCS is acting as an Employment Agency in relation to this vacancy.
Read lessRepublic of IrelandFull Time
Software Engineering Lead (AI)Location: Cork, Ireland (on-site) Type: Full-time, PermanentAbout the company A fast-growing, IDA-backed industrial technology company... Read more
Software Engineering Lead (AI)
Location: Cork, Ireland (on-site)
Type: Full-time, Permanent
About the company
A fast-growing, IDA-backed industrial technology company building out its engineering presence in Cork. The business operates at the forefront of emerging technology, with AI already shipping in production across its platform - not early-stage experimentation.
About the role
We're looking for a hands-on Software Engineering Lead to run our AI engineering function. This is a technical leadership role, not a purely managerial one - you'll still be writing code, running PoCs, and validating architecture, while setting technical direction, hiring the team, and raising the engineering bar across the group.
Responsibilities
Lead the technical direction of a high-impact AI engineering team, staying hands-onDesign and deliver cloud-native, container-first services built to scaleTake AI-enabled capabilities from early exploration through to secure, production deploymentsWrite high-quality Python code and define the engineering bar for maintainability and testingDrive good engineering practices across CI/CD, containerisation, Kubernetes, and cloud operationsPlay a central role in hiring and building the teamMentor and coach engineers through reviews, pairing, and technical feedbackRequirements
Strong professional software engineering background (typically 10+ years, though impact and evidence of delivery matter more than a specific number)Proven technical leadership - leading design discussions, mentoring, setting directionStrong Python engineering skills: OOP, typing, async programming, FastAPI preferredDemonstrated experience building REST APIs and service integrationsCloud experience on at least one hyperscaler (Azure preferred), with strong container experienceKubernetes experience strongly preferredExperience with CI/CD pipelines and modern DevOps practicesStrong testing discipline (PyTest) and code review habitsUnderstanding of AuthN/AuthZ fundamentals (OpenID/OAuth2)Nice to have
Experience building with Generative AI or Agentic AI frameworks (LangChain, LangGraph, CrewAI, Hugging Face)Familiarity with event-driven architectureAzure platform depth (Cosmos DB, serverless)Interest in modern AI concepts (transformers, attention, deep learning foundations)GCS is acting as an Employment Agency in relation to this vacancy.
Read lessCork, Cork, Republic of IrelandFull Time
Senior DevOps Engineer - DevOps & AI ToolingWe're seeking a Senior DevOps Engineer to lead the evolution of... Read more
You'll drive automation, CI/CD, Kubernetes, cloud infrastructure and developer tooling whilst introducing AI-powered capabilities across software delivery, testing, quality and operations.
DevOps & Platform EngineeringAI for DevOps / AI-Assisted EngineeringGitHub Copilot, Claude Code or similar AI coding toolsAzure DevOps & GitHub EnterpriseKubernetes, Terraform & Cloud PlatformsCI/CD AutomationPlease send across an updated CV if this position is of interest
GCS is acting as an Employment Business in relation to this vacancy.
Read lessGreater London, United KingdomContract
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