Bauer Media Outdoor UK

Paralegal

• Support a broad range of compliance matters, from governance to sustainability
• Oversee core operations, including third-party due diligence and our compliance LMS
• Partner with senior Local Compliance Officers across 9 Business Units to maintain strong controls and drive training
• Help the team adopt AI responsibly to enhance efficiency
• Support the day-to-day operation and continuous improvement of BMO’s compliance programme
• Coordinate across risk areas (including AI adoption, data privacy, and third-party due diligence)
• Administer key compliance systems and learning platforms
• Assist with monitoring, internal audits, and investigations to maintain a strong compliance environment

Compliance Operations Paralegal

Project Manager

• Own the mobilisation project plan
• Coordinate cross-functional workstreams
• Manage timelines, dependencies and scope
• Risk, Assumptions, Issues and Dependencies (RAID) management
• Stakeholder management and communication
• Governance and reporting
• Readiness for go‑live

Project Manager – Mobilisation Programme

People Operations

• Leading the People Plan for Delivery and Construction, covering capability, structure, engagement, workforce risks and future skills
• Partnering senior leaders and managers on people strategy, organisational effectiveness and change
• Turning business priorities into practical people initiatives that improve engagement, retention, performance and culture
• Coaching and supporting managers to build confidence in areas such as feedback, performance, development, inclusion and change
• Identifying people trends and root causes, then working with leaders to create solutions that make a real difference
• Supporting activity across the full employee lifecycle, from workforce planning and organisation design through to onboarding, development and culture

Senior People Partner – Delivery & Construction

Analytics Engineer

• Design and maintain scalable dimensional models and high-performing Gold layers optimized for Power BI
• Define data grains, relationships, and historization strategies to translate business requirements into documented models
• Act as data gatekeeper by profiling datasets and implementing validation rules to ensure accuracy and consistency
• Collaborate with engineers to resolve quality issues and maintain integrity across the data pipeline
• Build optimized, reusable semantic layers to standardize metrics and eliminate duplication across reporting tools
• Partner with analysts to ensure data models are intuitive, performant, and aligned with end-user needs (Commercial, Finance, Operations etc)

Senior Analytics Engineer

Accounts Payable

• Be the first point of contact for supplier and colleague payment enquiries, demonstrating a confident and professional approach while managing your workload with minimal supervision
• Process invoices against receipted purchase orders
• Register non-PO invoices and obtain the relevant approvals
• Reconcile supplier statements
• Ensure incoming emails are actioned daily
• Proactively review and investigate unpaid items
• Follow up on aged items and outstanding queries to ensure prompt resolution
• Support the accounting team with accruals and forecasting activities
• Assist with internal and external audits
• Ensure adherence to internal controls and compliance procedures is properly documented

Accounts Payable Assistant

Solutions Engineer

• You'll own the technical solution design for portfolio and operational systems (target-state architecture, data models, API specifications, and integration patterns) while translating complex requirements into precise specifications.
• Maintain full visibility of technical debt, drive root-cause analysis on complex issues, and proactively identify opportunities to standardise, consolidate, or retire systems.
• Define non-functional requirements and acceptance criteria for external development partners, rigorously reviewing and challenging their technical designs and outputs before release.
• Articulate complex architectural constraints, trade-offs, and risks to both business and technology stakeholders clearly and without unnecessary jargon.
• Balance delivery pace with architectural coherence, safeguarding data quality, performance, and long-term maintainability.
• Maintain impeccable technical documentation (architecture diagrams, integration maps, data dictionaries) to seamlessly support our future transition to an in-house development capability.

Senior Solutions Architect

AI Engineer

• Write clean, well-tested, production-ready code while setting high standards and mentoring engineers in AI design and delivery.
• Own system design, delivery, and evolution; resolve complex performance, scalability, and integration challenges.
• Build and operate reliable infrastructure using practical DevOps and MLOps practices to monitor, optimize, and improve production AI solutions.
• Communicate technical decisions clearly to non-technical stakeholders and ensure smooth user experiences.

AI Engineer – Mid Level

• Set and enforce the data modelling standards that govern how the team designs facts, dimensions, aggregates, and semantic layers
• Review and exercise independent judgement on modelling approaches proposed by Lead Analytics Engineers, making formal recommendations where decisions carry material risk or long-term architectural consequence
• Own the technical integrity of the curated data layer – ensuring what is built is correct, performant, well-documented, and genuinely fit for business use
• Translate business requirements into data model designs that are both technically sound and analytically useful
• Act as the final technical quality checkpoint before work reaches production or is presented to business stakeholders
• Bring genuine analytical expertise: the ability to sit with data, identify what it is and is not telling you, and present findings in a way that is clear, honest, and actionable