We are working with a leading global financial services organisation seeking an experienced Cloud Platform Delivery & Operations Lead to support a high-performing Identity & Access Management (IAM) Cloud Engineering team.

This is a highly visible role operating at the intersection of platform delivery, release coordination, and strategic execution, supporting critical cybersecurity infrastructure in a complex enterprise environment.

• Dublin / Hybrid
• Contract / 6 months (with possible extensions)
• Stamp 4 / EU Passport required

The Role

You will work closely with senior engineering stakeholders and a specialist cloud engineering team, driving both operational delivery excellence and strategic initiatives across platform stability, release management, and process improvement.

This role is particularly suited to someone who thrives in a structured, process-driven environment and enjoys coordinating across multiple teams to deliver high-impact outcomes.

Key Responsibilities

• Own and drive platform backlog management and prioritisation across multiple engineering teams
• Coordinate multi-team releases within a structured and process-led environment
• Run Agile ceremonies, including sprint planning, backlog grooming, and delivery tracking
• Ensure consistent delivery cadence and remove blockers across teams
• Lead release coordination and change management, including alignment with enterprise governance processes
• Provide clear visibility on progress, risks, and delivery status
• Support improvements in platform scalability, resilience, and efficiency
• Delegate and organise work across a small team of cloud and pipeline engineers

Required Experience

• 4+ years’ experience in cloud platform delivery, programme management, or release coordination
• Strong exposure to cloud infrastructure (Azure preferred)
• Proven experience managing backlogs, prioritisation, and Agile delivery
• Familiarity with CI/CD pipelines, DevOps practices, and platform operations
• Hands-on experience with tools such as JIRA, ServiceNow, Confluence, and Azure DevOps

Key Skills

• Strong stakeholder management and coordination capabilities
• Ability to operate across both operational delivery and strategic initiatives
• Excellent organisational skills with a focus on prioritisation and sequencing of work
• Solid understanding of release processes, platform operations, and resiliency
• Ability to influence and drive outcomes without direct line management authority

What You’ll Deliver

• Improved delivery efficiency and prioritisation clarity
• Stronger release coordination and operational discipline
• Enhanced platform stability and resilience
• Greater visibility and control across delivery pipelines
• Contribution to security, cost optimisation, and process improvements

If this role is of interest, please feel free to reach out.

At Nicoll Curtin, a premier recruitment agency specialized in connecting top-tier tech talent with industry leaders, we are currently seeking an Application Support Engineer to join the Software Engineering team of one of our major clients.

Our client is a vital organization engaged in providing essential national services and infrastructure support. In this role, you will have the unique opportunity to collaborate on a high-impact, brand-new implementation of a Field Service Management project.

If you love diving deep into code, acting as a "software detective," and being a subject matter expert for business-critical systems, we want to hear from you!

What You Will Do:

As an Application Support Engineer, you will provide a dynamic service by identifying and solving complex issues within multiple components of critical business systems. You will act as a subject matter expert, collaborate with and manage the team to perform effectively, take responsibility for team decisions, and engage with multiple cross-functional teams to contribute to key decisions and solutions.

Key Responsibilities:

• Issue Resolution: Analyze complex software issues and develop effective solutions to maintain system stability and performance.

• Cross-Functional Collaboration: Collaborate closely with cross-functional teams to ensure seamless integration and support of business-critical applications.

• Knowledge Sharing: Lead efforts to document troubleshooting processes and share knowledge to enhance overall team capabilities.

• Risk Management: Proactively identify potential system risks and recommend improvements to prevent future disruptions.

• Continuous Improvement: Contribute to continuous improvement initiatives by evaluating new tools and technologies relevant to application support.

Key Requirements:

• Expert Proficiency (Required): Strong, proven expertise in ESRI ArcGIS.

• Advanced Proficiency (Suggested): Experience with ServiceNow Field Service Management is highly preferred.

• Leadership & Collaboration: Ability to manage and guide a team, take ownership of collective decisions, and provide solutions across multiple departments.

What’s in it for you?

• The chance to work on a large-scale project supporting essential national infrastructure.

• A dynamic, collaborative, and tech-driven environment.

• Professional growth backed by Nicoll Curtin’s industry expertise.

 Senior Machine Learning Engineer (AI / LLM Systems)

Remote (United Kingdom) | Permanent | Flexible compensation + equity

We’re working with a well-established, tech-led business that is building a new AI product focused on real-world tasks, workflows, and decision-making.

This is a small, high-calibre team building systems where model capability is transformed into reliable, production-grade ML systems, with a strong emphasis on ownership, iteration, and real-world performance.
The product focuses on:

• Long-running AI workflows

• Persistent context across interactions

• Multi-step reasoning and task execution

• Integration with external tools and systems

The core challenge is designing ML systems that can behave reliably in production, even when model outputs are inherently non-deterministic.

The Role

This role sits at the core of the ML layer powering the product.
The focus is on designing and operating systems that enable:

• ML models to run reliably in production

• End-to-end pipelines from training to inference

• Continuous evaluation and iterative improvement

• Systems that perform consistently under real usage conditions

You’ll be working on:

• Training, inference, and evaluation pipelines

• LLM-based systems and agent-style workflows

• Debugging model behaviour using real-world signals

• Optimising performance across latency, cost, and reliability

• Production monitoring, logging, and system stability

What They Care About

The hiring bar is centred around real production ML experience:
Whether you have:

• Shipped ML systems used by real users

• Owned ML systems end-to-end in production

• Worked with modern LLMs beyond simple API integration

Your exposure to practical challenges such as:

• Model behaviour debugging and failure analysis

• Latency, throughput, and cost optimisation

• Monitoring, observability, and evaluation frameworks

• Scaling ML systems in production environments

Tech Environment

• Python (core ML and backend language)

• PyTorch / modern ML frameworks

• LLM ecosystem (OpenAI, Anthropic, etc.)

• GPU-based training and inference

• Docker and Kubernetes

• AWS, Azure or GCP

The emphasis is on how you build and operate ML systems, rather than specific tools.

Team & Working Style

• Fully remote-first, work from anywhere

• Small, highly capable engineering team

• Strong emphasis on ownership and delivery

• Fast iteration cycles with real user feedback

• Comfortable working in evolving systems and making pragmatic decisions 

We are looking for an IT Test Manager for one of our key clients, one of the largest banks in Luxemburg, for a long-term contract role.

In this position, you will take full ownership of the testing strategy across a complex core banking transformation programme, ensuring high-quality delivery across both core systems and satellite applications.

You will define and drive the full testing lifecycle, from planning and preparation through to execution and reporting, while acting as the central coordination point between development, business stakeholders, automation teams, and requirements engineers.

Your focus will also include expanding the regression testing portfolio and ensuring strong alignment with agile delivery cycles, release planning, and system upgrades.

You will be responsible for managing SIT, UAT, and regression cycles, monitoring quality metrics, and providing clear go/no-go recommendations to leadership.

Your role will have a direct impact on ensuring the success of large-scale platform migration initiatives within a highly regulated financial environment.

This is a 100% workload 12 month contracting role.

If you bring strong experience in IT test management within financial services, expertise in tools such as JIRA/XRay, and a proven track record in complex migration programmes, this is an excellent opportunity to step into a high-impact role.

Last but not least this is an English Speaking role.

If you want to hear more about this role, apply directly to:

vuk.susa-stupar@nicollcurtin.com

Phone: +41 43 508 26 71

About the Company

Hiring company is a global big tech firm looking for an experienced Program Manager to support roll out of go-to-market initiatives across marketing, sales, partnerships, education, and enterprise teams.

About the Role

This role will suit someone who is highly organized, data-driven, comfortable working with senior stakeholders, and able to operate in a fast-paced, ambiguous environment. The successful candidate will help drive cross-functional alignment, improve processes and use AI/tools to automate workflows and improve team efficiency.

THIS IS A 1 YEAR CONTRACT ROLE SUBJECT TO EXTENSION OR CONVERSION TO FULL TIME DEPENDING ON PERFORMANCE AND BUSINESS NEEDS.

Responsibilities

• Coordinate marketing and go-to-market programs across different internal teams.
• Work closely with Marketing, Sales, Partnerships, Product, Engineering, and regional teams.
• Track program goals, timelines, key milestones, risks, and next steps.
• Monitor data and insights to understand what actions are needed.
• Prepare updates, reports, and documentation for internal stakeholders.
• Help identify blockers and work with teams to solve them.
• Create or adapt program communications, decks, and enablement materials.
• Look for ways to improve workflows using tools, AI, and automation.
• Support special projects that improve how marketing and sales programs are run.

Qualifications

• Experience using tools such as Google Workspace, Figma, Claude Code, AI tools, or similar platforms.
• At least 5 years of experience in program management, marketing operations, GTM, sales programs, or similar.
• Experience in big tech, SaaS/software, or a marketing/advertising agency would be useful.
• Comfortable working with global teams across different countries and time zones.
• Strong stakeholder management and communication skills.
• Good with data, details, tracking, and follow-ups.
• Able to work in a fast-paced environment with changing priorities.

• Gather, document, and translate KYC/AML and compliance requirements into functional specifications, process maps, and delivery artefacts
• Coordinate with compliance, technology, and risk teams to drive end-to-end delivery of KYC/AML initiatives
• Manage project plans, timelines, RAID logs, and stakeholder reporting for compliance transformation workstreams
• Support client onboarding and due diligence workflow improvements, identifying process gaps and actionable requirements
• Liaise between business stakeholders and technology teams to ensure requirements are accurately captured and delivered
• Prepare progress updates, executive summaries, and steering committee materials as required
• Support regulatory change analysis and impact assessment for AML/KYC policy and process updates

• Chinese national, Guangzhou-based (or can relocate to GZ)
• Banking experience at a large domestic or international bank
• Hands-on KYC, AML, CDD, or financial crime compliance exposure — in an operations, BA, or PM capacity
• Demonstrated project or business analysis delivery experience
• Professional working English

• Ops-to-project career transition within a compliance or financial crime function
• Familiarity with AML monitoring platforms or systems
• Knowledge of PBOC AML regulations, HKMA guidelines, or international AML frameworks
• CAMS or equivalent AML/compliance certification
• Cantonese fluency
• PMP, Agile/Scrum, or BA professional certifications

Engineering Lead (Banking Technology)

About the Opportunity

An established global financial institution is seeking an experienced Engineering Lead to drive the delivery of enterprise-scale technology initiatives across its digital banking landscape. This leadership role is responsible for shaping technical strategy, overseeing end-to-end solution delivery, and leading multiple engineering teams to build scalable, secure, and resilient technology platforms.

Working closely with Product Owners, Enterprise Architects, and cross-functional technology teams, you will play a key role in translating business strategy into technology solutions while ensuring engineering excellence, governance, and delivery quality across complex, mission-critical platforms.

Key Responsibilities

• Lead the end-to-end delivery of enterprise technology solutions across multiple engineering squads.

• Develop and execute technology roadmaps aligned with business objectives and long-term architectural strategy.

• Provide technical leadership in solution design, system integration, estimation, capacity planning, and project forecasting.

• Partner with Product Owners and business stakeholders to translate business requirements into scalable technical solutions.

• Drive engineering best practices, solution standardisation, reusable services, and continuous improvement initiatives.

• Establish and maintain engineering governance, ensuring alignment with enterprise architecture, security, compliance, and SDLC standards.

• Act as the senior technical escalation point for complex delivery and production issues.

• Collaborate with Architecture, Change, Release, and Infrastructure teams to ensure successful planning and execution of releases.

• Lead technical risk assessments, vendor evaluations, and solution governance throughout the project lifecycle.

• Foster a high-performance engineering culture by mentoring technical teams, influencing engineering practices, and promoting continuous learning.

Ideal Background

The successful candidate will bring a strong combination of engineering leadership and hands-on technical expertise gained within large enterprise environments, preferably in financial services.

You should demonstrate:

• Proven experience leading large-scale application delivery and enterprise technology transformation programmes.

• Strong engineering background with the ability to engage in deep technical discussions covering application architecture, APIs, databases, cloud technologies, and modern software development practices.

• Experience leading multiple Agile engineering teams using Agile and/or SAFe methodologies.

• Strong understanding of Software Development Lifecycle (SDLC), solution architecture, DevOps, CI/CD, engineering governance, and secure application development.

• Experience delivering cloud-based solutions across platforms such as AWS, Azure, or Google Cloud.

• Ability to balance strategic technology planning with hands-on delivery leadership.

• Strong stakeholder management skills with experience working across business, architecture, product, and engineering functions.

• Excellent analytical, communication, and problem-solving capabilities, with a track record of delivering complex technology programmes in regulated enterprise environments.

Preferred Experience

• Experience within banking, financial services, or other highly regulated industries.

• Exposure to wealth management or digital banking platforms would be advantageous.

• Knowledge of enterprise CRM platforms, including Microsoft Dynamics, is beneficial but not essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline.

• Professional certifications such as AWS, Azure, PMP, Scrum Master, SAFe, TOGAF, or equivalent are highly regarded.

Product Manager – Enterprise AI Platform

Location: Dublin, Ireland (Flexible Hybrid)
Employment Type: Permanent

Drive the Next Generation of Enterprise AI

We're partnering with a leading global technology organisation on the search for an experienced Product Manager to shape the strategy and evolution of a cutting-edge enterprise AI platform.

This is a rare opportunity to work at the forefront of AI innovation, influencing the direction of products that enable intelligent automation and next-generation AI solutions used by global organisations. You'll have the autonomy to shape product strategy, work with world-class technical teams, and make a tangible impact on products that are transforming the future of business.

The Role

As Product Manager, you'll own the product vision, strategy, roadmap, and backlog, ensuring business priorities translate into high-impact platform capabilities.

Working alongside engineering, architecture, data science, and commercial teams, you will:

• Define and execute the product strategy and roadmap for an enterprise AI platform.

• Build business cases and prioritise investment to maximise customer and commercial value.

• Translate customer needs into scalable AI platform capabilities.

• Partner with engineering teams to deliver innovative products using Agile methodologies.

• Support customer engagements, product demonstrations, and strategic go-to-market initiatives.

• Define user stories, success metrics, and product priorities while driving continuous improvement.

• Mentor colleagues and help shape product management best practices across the organisation.

About You

You'll bring:

• 6+ years' experience in Product Management or Product Ownership within enterprise software, B2B SaaS, or technology platforms.

• A strong track record of owning product strategy and successfully delivering platform or AI-enabled products.

• Experience working with AI, machine learning, cloud technologies, or modern software platforms.

• Excellent stakeholder management and communication skills, with the ability to influence both technical and business audiences.

• A customer-first mindset, commercial awareness, and a passion for innovation.

Experience with Generative AI, LLMs, AI infrastructure, MLOps, AWS, Azure, GCP, Kubernetes, Docker, or AI governance would be highly desirable.

Why Apply?

This is an opportunity to join an organisation investing heavily in AI and innovation, where you'll:

• Play a key role in shaping products that influence the future of enterprise AI.

• Work with highly talented engineers, architects, and AI specialists on complex, high-impact challenges.

• Enjoy a competitive salary, performance bonus, private healthcare, pension, life assurance, and income protection.

• Benefit from flexible hybrid working and a strong commitment to professional development, learning, and career progression.

• Be part of an inclusive, collaborative culture that encourages innovation, ownership, and continuous growth.