Aveni

Support Engineer

• Translate product initiatives into real-world workflows: Turn high-level product ideas into detailed advice processes, requirements and logic.
• Act as a financial advice SME: Provide expertise on advice processes, suitability standards and FCA expectations.
• Support solution design: Work with engineering teams to ensure features reflect real adviser workflows and operational realities.
• Validate product outputs: Review and test outputs from an adviser, paraplanner and compliance perspective.
• Drive product improvement: Identify gaps, edge cases and opportunities to refine solutions during development.

Wealth & Advice Product Support Analyst

AI Engineer

• Build and optimise LLM-powered systems
• Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches
• Experiment with modern architectures such as Transformers and Mixture-of-Experts
• Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods
• Develop robust evaluation approaches to measure model quality and reliability
• Develop scalable AI systems
• Build and deploy production-grade NLP pipelines and services
• Ensure models operate efficiently with low latency and high availability
• Integrate models into scalable cloud infrastructure and real-world applications
• Lead the acquisition, processing and governance of large structured and unstructured datasets
• Apply exploratory data analysis and validation techniques to improve training pipelines
• Ensure data privacy and governance standards suitable for financial services
• Contribute to DevOps and MLOps pipelines
• Implement robust version control, testing and CI/CD workflows
• Support reliable deployment and monitoring of models in production environments
• Mentor engineers and contribute to the technical growth of the team
• Work closely with product, engineering and data teams to deliver AI solutions
• Stay at the forefront of AI and NLP research, applying new approaches where they add value

Senior AI Engineer

Product Operations

• Design and implement scalable product operating frameworks
• Standardise roadmap planning, prioritisation, delivery tracking and post-launch optimisation
• Build repeatable launch and adoption playbooks
• Own and optimise the product tech stack (roadmapping, analytics, feedback and collaboration tools)
• Establish consistent product metrics frameworks and capacity planning processes
• Implement rigorous, repeatable delivery processes that ensure predictability and quality
• Define clear lifecycle frameworks from discovery to launch and optimisation
• Embed metrics-driven decision-making across velocity, cycle time, predictability and quality
• Establish quality gates, release criteria and product governance processes
• Ensure compliance, audit readiness and regulatory controls are embedded into workflows
• Build comprehensive product analytics capability
• Establish dashboards covering performance, usage and business outcomes
• Create structured customer feedback loops (NPS, CSAT, feature requests, usage data)
• Enable experimentation frameworks and data-led prioritisation
• Act as the operational hub across product, engineering, commercial, customer success and leadership
• Establish clear cadences for planning, reviews and releases
• Coordinate cross-product dependencies and portfolio resource allocation
• Align product roadmaps with go-to-market plans and company strategy
• Enable PMs and POs through training, coaching and best-in-class tooling
• Establish product competency models and career frameworks
• Create onboarding and knowledge management systems
• Identify bottlenecks and drive continuous improvement
• Embed structured customer discovery and feedback rhythms
• Ensure customer voice is central to prioritisation
• Build health monitoring systems for adoption, satisfaction and retention
• Integrate FCA and regulatory requirements into every stage of product development
• Establish documentation, audit trails and regulatory change processes
• Facilitate quarterly and annual roadmap planning
• Implement prioritisation frameworks balancing customer value, commercial impact and regulatory requirements
• Introduce OKRs or cascading goal frameworks
• Provide visibility into roadmap delivery and execution against commitments

Wealth & Advice Product Support Analyst

Senior AI Engineer

Head of Product Operations