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.

SAN Engineer (12-Month Contract)

Location: Hong Kong (Onsite)

We are seeking an experienced Senior SAN Engineer to lead the design, implementation, administration, and optimization of enterprise storage environments. The successful candidate will possess deep expertise in SAN infrastructure, storage platforms, and disaster recovery solutions across multi-vendor environments, ensuring high availability, performance, and scalability of critical business systems.

Key Responsibilities

• Design, implement, and manage enterprise SAN solutions using Dell EMC, Pure Storage, Cisco, Brocade, and HPE technologies.
• Administer and optimize storage platforms including PowerMax (PMAX), VMAX, Pure Storage, and HPE arrays.
• Configure and manage SAN fabrics, zoning, VSANs, ISLs, NPIV, Logical Fabrics, LSANs, and context switching.
• Perform storage provisioning, LUN masking, performance tuning, capacity planning, and troubleshooting.
• Implement and support replication and disaster recovery technologies, including SRDF/S, SRDF/A, SRDF/AR, TimeFinder Snap, and Clone.
• Lead storage and SAN migration projects using tools such as Cirrus or equivalent migration platforms.
• Manage and troubleshoot Cisco and Brocade director-class switches, ensuring optimal SAN performance.
• Collaborate with infrastructure, network, and application teams to deliver scalable storage solutions.
• Develop and maintain technical documentation, standards, and operational procedures.
• Drive automation initiatives using scripting tools such as Python (preferred).

Requirements

• Bachelor's degree in Information Technology, Computer Science, or related discipline.
• Minimum 7 years of hands-on SAN engineering and storage administration experience.
• Strong expertise in Dell EMC, Pure Storage, Cisco, Brocade, and HPE storage technologies.
• Experience with SYMCLI, Unisphere, Cisco DCNM, SANnav, FOS, ACS Gateway, and Brocade Network Advisor (BNA).
• Solid understanding of FC, iSCSI, FCoE, storage virtualization, and data center architecture.
• Proven experience in disaster recovery, replication, storage migrations, and performance analysis.
• Strong analytical, troubleshooting, communication, and project delivery skills.

Preferred Certifications

• Dell EMC Proven Professional
• Pure Storage Certified Implementation Engineer
• Cisco CCNP
• HPE ASE or equivalent storage certifications

Salesforce Developer (12-Month Contract - Extendable)

Location: Singapore (Onsite)

We are seeking a Salesforce Developer to design, develop, and enhance Salesforce solutions that deliver business value. You will collaborate closely with architects, consultants, and analysts to implement scalable, high-quality solutions while adhering to established development standards and best practices.

Key Responsibilities

• Develop and maintain Salesforce solutions using Apex, Lightning Web Components (LWC), OmniStudio, and Visualforce.
• Translate technical requirements into functional, scalable applications.
• Customize Salesforce objects, fields, record types, page layouts, and automation as required.
• Collaborate with cross-functional teams to deliver project milestones throughout the development lifecycle.
• Ensure compliance with technical governance, coding standards, and best practices.
• Prepare and maintain technical documentation, including design specifications.
• Troubleshoot, resolve, and support defect fixes in a timely manner.
• Identify technical risks, recommend mitigation strategies, and contribute to continuous improvement initiatives.
• Support deployment, release management, and CI/CD processes where applicable.

Requirements

• Minimum 2 years of hands-on Salesforce development experience.
• Salesforce certifications: Platform Developer I and Salesforce Administrator (mandatory).
• Strong experience with Apex, Triggers, LWC, Visualforce, and Salesforce configuration.
• Solid understanding of Salesforce architecture, development, deployment, and system configuration.
• Knowledge of software development lifecycle (SDLC) and Agile delivery methodologies.
• Experience with integrations, CI/CD pipelines, and release management is advantageous.
• Public sector project experience is preferred but not required.
• Additional certifications such as Platform Developer II, OmniStudio Developer, JavaScript Developer I, or Salesforce Consultant certifications are highly desirable.
• Strong analytical, communication, and stakeholder management skills.
• Ability to work independently, manage priorities, and meet project deadlines.