Allianz UK

About the Company

Allianz UK is part of the Allianz Group, one of the world's leading financial services providers with more than 88 million customers in over 70 different countries.

In the UK, we offer a range of commercial and personal lines insurance products. We provide insurance for businesses, from sole traders to large commercial organisations, which are sold through independent brokers. We sell personal home, car and travel insurance through our LV= brand and we insure over one million pets through Petplan. We also provide legal expenses insurance.

Working for us
We care for our employees, their ambitious, dreams and challenges.

We care about everything that makes you, you. We embrace inclusion and diversity, so you can bring your whole self to work.

You can work flexibly, with colleagues from across the globe, so we can build a business we all care about - a vision we can all get behind.

We care for your opportunities to grow. From individual development to career mobility, to lifelong learning offers for all our employees worldwide.

We care for life's twists and turns. From our support for flexible working, health and wellbeing, to helping parents return from career breaks with experience that no-one can teach.

We care for our society and planet. Offering opportunities to get engaged in shaping a future that is safe, inclusive and sustainable.

Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

Join us. Let's care for tomorrow.


Official Linkedin page of Allianz UK. Information on our agreement with Linkedin regarding the processing of personal data is here: https://www.linkedin.com/legal/privacy-policy

Listed Jobs

Company Name

Allianz UK

Job Title

Allianz Summer Intern 2026

Job Description

**Job Title:** Summer Intern – Insurance (Allianz) 2026 **Role Summary:** 9‑week paid summer internship offering hands‑on exposure to core insurance functions—including underwriting, pricing, operations, marketing, sustainability, and data analytics—within Allianz’s UK brands. Participants receive mentorship, project responsibility, and networking opportunities in a supportive, inclusive environment. **Expectations:** - Penultimate‑year university student (any discipline). - Demonstrated motivation to learn about insurance and a genuine interest in Allianz. - Strong verbal and written communication skills. - Analytical mindset with problem‑solving abilities. - Ability to collaborate across teams and adapt to different functional areas or locations. **Key Responsibilities:** - Assist assigned business unit (e.g., underwriting, pricing, operations, marketing, sustainability, data) with day‑to‑day tasks and project work. - Conduct data collection, cleaning, and basic analysis; support the development of reports and presentations. - Contribute to the preparation of underwriting files, pricing models, marketing assets, or sustainability initiatives as directed. - Participate in structured training sessions, workshops, and networking events. - Provide input on process improvement ideas and support implementation where feasible. - Produce concise documentation of work outcomes for senior mentors. **Required Skills:** - Effective written and oral communication. - Strong analytical and quantitative reasoning. - Proficiency with Microsoft Office suite (Excel, PowerPoint, Word); familiarity with data tools is a plus. - Team‑oriented attitude with ability to work independently when needed. - Basic problem‑solving and critical‑thinking capabilities. - Enthusiasm for the insurance sector and willingness to explore multiple functional areas. **Required Education & Certifications:** - Currently enrolled in the penultimate year of an undergraduate program (any field of study). - No specific certifications required; academic progress toward a bachelor's degree is sufficient.

Maidstone, United kingdom

Hybrid

Fresher

10-01-2026

Company Name

Allianz UK

Job Title

Senior AI Engineer

Job Description

**Job Title** Senior AI Engineer **Role Summary** Design, develop, and deliver production‑ready AI solutions, leading the full AI lifecycle from ideation to deployment. Drive technical excellence in generative/agentic AI, computer vision, and large‑language‑model (LLM) applications, while ensuring scalability, reliability, and operational best practices across cloud platforms. **Expectations** - Deliver high‑impact AI systems that generate measurable business value. - Establish and maintain robust MLOps pipelines and cloud infrastructure. - Mentor cross‑functional teams and communicate complex AI concepts to diverse stakeholders. - Stay current on cutting‑edge research and integrate relevant innovations into production workflows. **Key Responsibilities** 1. **AI Solution Design** – Architect and implement generative and agentic AI models, vision solutions, and LLMs. 2. **End‑to‑End Pipeline Engineering** – Build scalable data ingestion, feature engineering, training, and inference pipelines (Spark, Kafka, feature stores). 3. **Cloud Delivery** – Deploy AI services on AWS, Azure, or GCP using native AI/ML services and cloud‑native architectures. 4. **MLOps & DevOps** – Implement CI/CD, Docker, Kubernetes, model versioning, automated testing, and monitoring. 5. **Performance Optimization** – Continuously measure and improve model accuracy, latency, and resource utilization. 6. **Technical Leadership** – Guide engineers and data scientists, enforce coding standards, and foster a culture of innovation. 7. **Stakeholder Collaboration** – Translate business requirements into technical specifications and ensure alignment across product, data, and engineering teams. **Required Skills** - Expertise in generative & agentic AI, large‑language models, computer vision, and autonomous agents. - Proficient with ML frameworks (LangChain, Semantic Kernel, etc.) and deep learning libraries (PyTorch, TensorFlow). - Strong Python programming and solid software engineering fundamentals. - Deep knowledge of MLOps practices: CI/CD, Docker, Kubernetes, model versioning, automated monitoring. - Experience with big‑data technologies (Spark, Kafka) and feature store development. - Proven ability to design and deploy AI solutions on AWS, Azure, or GCP, leveraging native services and security compliance. - Excellent communication skills for technical mentoring and stakeholder engagement. - Adaptability to rapidly evolving AI technologies and frameworks. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. - MBA or advanced graduate degree is a plus. ---

London, United kingdom

Hybrid

Senior

26-01-2026