Jobs at CTM Data & Electrical

Design, implement, test, secure, and maintain backend services for commercial journeys. Collaborate with product and cross-functional engineering teams, embed testing and security standards, contribute to CI/CD pipelines, and participate in engineering communities and agile delivery practices.

Plan, deliver and optimise brand media campaigns across AV, digital and OOH. Monitor campaign performance, manage brand media budget, produce insights and reporting, and collaborate with agencies, creative teams and stakeholders to improve ROMI and brand effectiveness.

Produce accurate, engaging personal finance content that helps consumers make confident financial decisions. Maintain editorial standards, apply SEO best practices, use AI tools responsibly, identify content opportunities, develop subject-matter expertise, and collaborate with SEO, product, commercial and compliance teams to deliver impactful content.

Join as a Graduate Product Manager to collaborate with commercial, UX and engineering teams to own a product roadmap, use data to prioritise work, deliver enhancements, optimise performance, and drive customer-centred, regulated product outcomes.

Design, build and maintain scalable automated test frameworks and reusable test solutions. Create API, integration, end-to-end and non-functional tests integrated into CI/CD. Collaborate with engineers, product and architects to embed shift-left testing and quality by design, contribute to tooling, perform root-cause analysis, participate in code reviews and continuously evaluate tools to improve quality engineering practices.

Own end-to-end delivery of production ML and LLM-powered systems: design and build training/deployment pipelines, package and deploy models, implement monitoring for performance and drift, support batch and real-time workloads, evolve internal ML platform and tooling, promote best practices, and provide technical leadership and mentoring across data science and engineering teams.

Plan, build and execute multi-channel CRM campaigns (email, push, in-app, on-site) using Braze and Movable Ink. Use customer data to personalise and optimise campaigns, monitor performance, collaborate with cross-functional teams, and ensure FCA, GDPR and internal governance compliance.

Lead design and deployment of ML models and pipelines for the AI platform. Translate business problems into measurable ML solutions, design experiments and A/B tests, and own model performance, monitoring, degradation detection and retraining. Champion responsible, explainable AI in a regulated financial context, choose between classical ML, LLMs and agentic approaches, collaborate with ML engineering, product and commercial teams, and mentor junior data scientists.

Perform product and behavioural analysis (funnel, cohort, segmentation), define KPIs, run A/B tests, build dashboards, partner with Product and Analytics Engineering, and apply AI/ML techniques to drive product decisions and experimentation.

Lead technical direction and delivery for Enterprise Services: define strategy and architecture, own end-to-end outcomes, run cross-team initiatives, de-risk complex deliveries, mentor senior engineers, partner with product and ops, manage vendor relationships, and ensure security, compliance, and scalable automation across enterprise platforms.

Lead design and evolution of the product operating model, implement AI-enabled workflows and tooling, define operational standards across product lifecycle, improve processes and knowledge management, drive adoption of modern product practices, and partner cross-functionally to enable faster, insight-driven product delivery.

Design and deliver high-performing email campaigns and templates; own end-to-end email design from concept to build-ready assets; develop and maintain the email design system in Figma; collaborate with CRM, marketing and development for implementation; support A/B testing and optimisation; ensure responsive, accessible, and deliverable designs across email clients and devices.

Lead and grow a team of ML engineers to build and operate production ML and LLM systems—real-time inference APIs, batch data products, and agentic AI—ensuring deployment, monitoring, CI/CD, reproducibility, and measurable business impact.

Lead development of AI-native backend services, APIs and developer tooling to enable LLMs, AI agents and RAG-driven features. Integrate generative AI, ensure observability and safe agent interactions, collaborate across teams, perform code reviews, and improve platform scalability and developer productivity.

Entry-level Software Development Engineer in Test (apprentice) role contributing to feature delivery, improving test coverage and reliability, collaborating in agile teams, spotting edge cases, and presenting findings to improve product quality.

Design, build and maintain Salesforce solutions (Service Cloud, Experience Cloud, Financial Services Cloud) using OmniStudio, Apex, LWC and Flow. Support multi-business unit requirements, automate case management and processes, ensure scalability and security, and translate technical solutions for non-technical stakeholders while collaborating across teams.

Create and manage targeted customer audiences and execute personalised CRM campaigns across email, push, in-app, on-site and performance channels using Braze and Movable Ink. Build, optimise and report on automated and one-off campaigns, leveraging HTML and SQL, collaborating cross-functionally while ensuring FCA, GDPR and internal governance compliance and continuous operational improvement.

Lead, coach and grow a high-performing software engineering team. Own technical health, reliability and maintainability of customer-facing systems. Partner on architecture and technical strategy, collaborate with Product to balance delivery and technical debt, champion Agile and AI-augmented engineering practices, and ensure alignment with governance, security and risk requirements.

Lead high‑impact AI and decisioning projects from discovery through production. Define technical roadmaps, design and validate models (including causal/experimentation), partner with engineering to productionise services with monitoring and governance, mentor data scientists, and promote responsible AI practices and platform adoption.

Lead and develop data engineering teams building modern data platforms and large-scale pipelines. Drive technical discussions, improve engineering practices, ensure delivery alignment with product and roadmap, manage incidents, and support hiring, coaching, and cross-functional stakeholder communication to optimise team performance and operational excellence.