GBG Plc

Implementation Specialist

• Ensure technical implementation projects for our GBGs Identity products are delivered on time and within budget, to defined time and quality SLAs and client expectations
• Working with new and existing customers in collaboration with sales team, develop and deliver technical implementation solutions that optimise the customer journey, driven by SDKs and API intergrations
• Co-ordinate the implementation of identity solutions to our customers taking operational ownership for delivery
• Become a technical expert in GBGs solutions and develop a good understanding of the market drivers for GBGs solutions – have the commercial ability to identify opportunity and introduce/position GBG products into customer lifecycles
• Create and develop comprehensive documentation; project plans encompassing resource assignment, technical implementation guidance (APIs/SDKs, sample code etc), testing and training plans
• Ensure successful transition to support teams post implementation
• Optimise existing project documentation and work with wider implementation team and management to enhance/improve implementation
• Assist Senior Solutions Consultants on large complex implementations and large internal projects as required.
• Continually analyse and assess client needs and make the necessary follow ups to ensure client satisfaction
• Deliver complex and advanced training and workshops to our customers
• Deliver ongoing enhanced monthly support for specific customers as needed
• Provide training and support to junior consultants and other PS team members

Senior Implementation Consultant – Professional Services

Account Executive

• What you will do
• - Identify and engage new prospective clients to introduce GBG’s identity verification and fraud prevention solutions.
• - Sell additional products and services to a portfolio of named existing customers.
• - Build and maintain a robust sales pipeline, consistently meeting or exceeding sales targets.
• - Understand and effectively navigate the sales process, from initial outreach through to contract negotiations and closing.
• - Collaborate with internal teams, including Product and Marketing, to ensure alignment with client needs and market trends.
• - Stay informed on industry trends and maintain knowledge of GBG’s solutions to position them effectively to potential clients.

Sales Executive

Account Manager

• **The Role - Analyst Relations Manager**
• The Analyst Relations Manager will be responsible for building and maintaining strong relationships with industry analysts to enhance GBG’s visibility, credibility, and influence within the identity verification and fraud prevention market. This role will involve managing analyst engagement strategies, coordinating briefings, and ensuring the company is well-represented in key industry reports and research.
• **What you will do**
• - Develop and execute a strategic analyst relations program aligned with business objectives.
• - Build and maintain relationships with key analysts from leading firms (e.g., Gartner, Forrester, IDC, KuppingerCole).
• - Coordinate analyst briefings, inquiries, and advisory sessions to position the company as a thought leader.
• - Collaborate with product marketing, PR and leadership to craft compelling narratives for analyst audiences.
• - Ensure consistent messaging across analyst interactions and reports.
• - Prepare briefing materials, presentations, and supporting documentation for analyst engagements.
• - Monitor analyst research, market trends, and competitor positioning to inform internal stakeholders.
• - Share insights and recommendations to influence product strategy and go-to-market plans.
• - Drive inclusion and favorable positioning in key analyst reports (e.g., Magic Quadrant, Wave, MarketScape).
• - Manage submission processes, deadlines, and data accuracy for analyst evaluations.
• - Track and report on analyst engagement metrics and impact on brand perception and pipeline.

Analyst Relations Manager

Software Engineer

• Lead the strategy for adopting AI and emerging technologies across the engineering organization.
• Establish metrics to measure adoption, effectiveness, and impact on productivity, quality, and developer experience.
• Partner with engineering leaders to embed AI-enabled tooling and workflows into everyday development practices.
• Ensure the organization stays current with industry best practices and advances in engineering enablement.
• Own the end-to-end developer experience across a globally distributed engineering team.
• Establish and evolve common frameworks and standards for engineering tooling and internal platforms.
• Design and operate the systems that improve predictability, transparency, and execution across engineering.
• Own strategic relationships with engineering tooling vendors, technology partners, and service providers.

VP Engineering Enablement – Operations

Operations

• Ensure work is organised, accurate, with attention to detail during order processing, platform setup & billing functions supported.
• Coordinate with team members to provide best practice outcomes and maximise performance metrics
• Track and manage order progression from initial request through to provisioned access for the customer, adapting as required to best support a successfully completed order.
• Ensure Opportunities submitted via CRM systems are processed within established deadlines and targets.
• Manage relationships with internal customers and key stakeholders, and facilitate communication across teams
• Ensure enquiries from GBG teams are responded to within established guidelines.
• Monitor internal systems, mailbox’s, teams’ channels & respond in a timely professional manner
• Provide support during financial audits for billing or contractual requests.
• Ensure Month End is closed with no outstanding orders so maximized revenue can be achieved.
• Monitor internal systems, mailbox’s, teams’ channels & respond in a timely professional manner

Customer Operations Executive

Machine Learning Engineer

• Design, implement, and optimize state‑of‑the‑art machine learning and computer vision models to enhance product capabilities.
• Research, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision‑language models.
• Implement and benchmark newly developed algorithms on large‑scale datasets, validating both accuracy and throughput.
• Fine‑tune large‑scale models using efficient adaptation techniques such as LoRA and QLoRA.
• Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC‑AUC, confusion matrices).
• Analyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks.
• Propose and implement data‑driven enhancements to model accuracy, robustness, and system stability.
• Support end‑to‑end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement.
• Contribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery.
• Assist in diagnosing and resolving model performance regressions and production issues.
• Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration.
• Participate in design reviews, technical discussions, and knowledge‑sharing initiatives to raise overall team capability.
• Contribute actively to Agile ceremonies and collaborative problem‑solving efforts.
• Proactively suggest improvements to existing models, workflows, tools, and product features.
• Collaborate effectively with engineering, product, and data stakeholders to deliver high‑impact ML solutions.
• Maintain awareness of emerging ML and computer vision trends and assess their applicability to real‑world problems.

Senior Machine Learning Engineer

• Define, own, and execute the long‑term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps.
• Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance.
• Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices.
• Provide hands‑on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement.
• Raise the bar for technical excellence while fostering an inclusive, high‑engagement team culture.
• Oversee the development and productization of ML models addressing real‑world document and biometric challenges at scale.
• Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high‑quality model delivery.
• Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement.
• Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning.
• Build high‑performing teams that balance innovation with operational excellence.
• Set clear expectations, provide regular feedback, and support the professional growth and progression of team members.
• Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high‑impact delivery.
• Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant.
• Represent Documents & Biometrics in cross‑company forums related to AI strategy, governance, and innovation.
• Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices.
• Contribute to company‑wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness.
• Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability.
• Ensure adherence to industry best practices, architectural standards, and engineering quality bars.
• Maintain high levels of team morale, engagement, and delivery velocity.

Director of Machine Learning

Solutions Engineer

• **What you will do**
• - **Deliver compelling technical presentations and live demonstrations** showcasing how GBG’s solutions solve complex identity, fraud, and verification challenges.
• - **Lead the technical components of bids, RFPs, and proposals**, ensuring solution designs align with customer requirements and position GBG competitively.
• - **Address and resolve client concerns** related to product integration, configuration, and customization by partnering closely with internal technical teams.
• - **Stay current on product enhancements, releases, and industry trends** to effectively advise both the sales team and customers throughout the presales lifecycle.
• - **Develop deep, hands‑on expertise in GBG’s product suite**, enabling you to serve as a trusted technical advisor for prospects, partners, and internal stakeholders.

General Counsel

• **What you will do**
• - **Review, draft, and negotiate commercial and SaaS agreements** with customers, vendors, and partners to support business growth.
• - **Partner with senior attorneys** on complex, strategic, or high‑value negotiations.
• - Conduct **legal research**, prepare written guidance, and support internal stakeholders with practical, risk‑aligned advice.
• - **Assess legal and regulatory risks** and translate them into actionable recommendations for business teams.
• - Build trusted partnerships with teams across **Sales, Product, Finance, Privacy, Customer Success, and Operations**.
• - Support **new product launches** by gathering requirements, reviewing documentation, and assisting with legal readiness.
• - Help maintain and improve internal processes, templates, and contracting playbooks.

Senior Implementation Consultant – Professional Services

Sales Executive

Analyst Relations Manager

VP Engineering Enablement – Operations

Customer Operations Executive

Senior Machine Learning Engineer

Director of Machine Learning

Senior Machine Learning Engineer

Solutions Engineer

Associate Corporate Counsel