AI Transformation Lead

AI Engineer / Data Scientist The Opportunity A lot of AI engineering roles are really just MLOps maintenance dressed up in a flashier job title. This one isn't. You'll be designing and building AI systems that sit at the heart of a financial data platform, working across the full stack from LLM architecture and RAG pipelines through to cloud infrastructure and production deployment. If you want to work on problems that are genuinely complex, in an environment that takes engineering quality seriously, this is worth a look. The Role You'll design, build, and productionise machine learning and generative AI solutions, working closely with data scientists, product owners, and business stakeholders. That means taking models from prototype to production, building the MLOps pipelines to keep them running reliably at scale, and making sure the systems you build integrate cleanly with core financial data platforms and downstream applications. You'll also be evaluating and implementing LLM-based solutions - RAG architectures, fine-tuning, prompt engineering - for both internal tooling and client-facing use cases, contributing to AI governance and responsible AI practices in a regulated environment, and mentoring junior engineers as the team grows. The role sits at the intersection of serious engineering and applied AI - and the expectation is that you're genuinely interested in both sides of that. The Company Our client is an established business operating in the financial services space, working with data and technology at enterprise scale. They're investing seriously in AI and building the engineering capability to match - which means joining now puts you close to decisions that matter, rather than inheriting a system someone else already built. What You'll Need 4+ years of professional engineering experience, with at least 2 years focused on AI/ML systems in production Strong Python skills and a track record of writing production-quality code Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn Practical experience with LLMs, including prompt engineering, RAG architectures, and/or fine-tuning Experience building and maintaining MLOps pipelines using tools such as MLflow, Kubeflow, or Vertex AI Pipelines Strong cloud platform experience on AWS, Azure, or GCP, ideally in a financial services or regulated context Proficiency with Docker, Kubernetes, and CI/CD tooling Fluency in German and English at professional level How to Apply Send your CV to the MAM Gruppe team. It doesn't need to be up to date - send what you have, or just get in touch for a conversation.

AI Execution Manager Location: Bavaria Our client is seeking an AI Execution Manager to support the implementation of AI and digital transformation initiatives across the organisation. This role focuses on translating AI opportunities into practical business solutions and driving the operational delivery of data- and AI-driven projects. Key Responsibilities: Identify and prioritise AI and digitalisation opportunities across business functions. Support the end-to-end implementation of AI use cases and transformation initiatives. Coordinate stakeholders across business, IT and data-focused teams. Facilitate workshops, use-case discussions and implementation activities. Support the integration of AI solutions into existing systems and processes. Contribute to AI enablement, knowledge sharing and digital capability development. Collaborate with internal and external stakeholders on strategic AI initiatives. Drive continuous improvement and support scalable AI adoption across the organisation. Your Profile: Experience within AI, digital transformation or data-driven project environments. Strong understanding of AI, automation or digital technologies and their business application. Experience managing projects within agile or technology-focused environments. Strong analytical, communication and facilitation skills. Ability to translate business requirements into practical digital solutions. Collaborative, proactive and solution-oriented working style. Familiarity with agile methodologies such as Scrum or Kanban would be advantageous. Fluent German and English language skills. What’s on Offer? Exposure to innovative AI and digital transformation initiatives. Modern and collaborative working environment. Opportunity to shape AI adoption across the organisation. Long-term development and progression opportunities.

Data Scientist Location: Germany / Remote Our client is seeking a Data Scientist to support the development of predictive models and data-driven analytics solutions within a fast-paced environment. This role focuses on time series analysis, machine learning and the application of modern AI approaches to large-scale datasets. Key Responsibilities: Develop and optimise predictive models and analytical frameworks. Analyse large datasets to identify patterns, trends and actionable insights. Support forecasting and modelling initiatives using statistical and machine learning techniques. Work with structured and unstructured data sources, including text-based datasets. Conduct backtesting, validation and performance optimisation of models. Collaborate with technical and business stakeholders on data-driven initiatives. Contribute to the evolution of modern AI and analytics capabilities. Your Profile: Strong experience within data science, quantitative analysis or statistical modelling environments. Expertise in time series analysis and forecasting techniques. Strong Python programming skills. Experience with machine learning and AI-related technologies. Analytical, hands-on and solution-oriented mindset. Ability to work independently and take ownership of projects. Strong communication and collaboration skills. What’s on Offer? Flexible remote working environment. Exposure to modern AI and advanced analytics projects. High level of ownership and influence within the role. Long-term development and growth opportunities.

Senior AI Delivery Lead  Location: Germany / Remote Our client is seeking a Senior AI Delivery Lead to support the implementation and scaling of AI-driven solutions within complex enterprise environments. This role focuses on the delivery, integration and operationalisation of AI and automation initiatives across client organisations. Key Responsibilities: Lead the implementation and deployment of AI and automation solutions within enterprise environments. Support the integration of AI use cases into existing systems, processes and architectures. Collaborate with technical and business stakeholders to translate requirements into scalable solutions. Drive the transition of AI concepts and prototypes into production-ready applications. Support architecture, automation and workflow optimisation initiatives. Contribute to delivery standards, technical best practices and continuous improvement activities. Work closely with clients across project delivery and implementation phases. Your Profile: Several years of experience delivering AI or automation projects within enterprise environments. Strong understanding of modern AI architectures, LLM-based solutions and automation frameworks. Experience with orchestration or workflow technologies would be advantageous. Understanding of enterprise integration, security and governance concepts. Experience within regulated environments such as financial services would be beneficial. Hands-on, solution-oriented mindset with strong technical delivery capabilities. Strong communication and stakeholder management skills. Fluent German and English language skills. What’s on Offer? Flexible remote working model within Germany. Exposure to innovative AI and transformation projects. Agile and collaborative working environment. Competitive compensation and long-term development opportunities.