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Senior AI Engineer
Allianz
Greater London
On-site
GBP 70,000 - 90,000
Full time
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Job summary
A leading insurance firm in the United Kingdom is seeking an AI Solution Developer to design and deliver advanced AI and Machine Learning systems. You will guide the AI lifecycle from inception to production, ensuring robust and scalable solutions. Essential skills include expertise in generative AI, cloud platforms, and programming in Python. This role offers hybrid working, a competitive salary, and various employee benefits such as flexible holidays and volunteering days.
Benefits
Qualifications
- Expertise in designing, developing and deploying advanced AI solutions including generative and agentic AI.
- Applies deep knowledge of machine learning, deep learning, and AI frameworks.
- Experience with big data technologies (e.g., Spark, Kafka) and data management practices.
Responsibilities
- Design and implement AI models and systems to address business challenges.
- Develop and maintain data and machine learning pipelines.
- Monitor and optimize AI model performance.
- Provide technical leadership to engineering teams.
- Collaborate with cross-functional teams to deliver AI initiatives.
Skills
Education
Tools
The purpose of this role is to design develop and deliver advanced artificial intelligence and Machine Learning solutions driving innovation and business value. The role exists to build robust scalable and production-ready AI systems by applying deep technical expertise across software engineering cloud platforms and operational best practices. They act as a technical leader guiding the end-to-end AI lifecycle from ideation and development to production deployment and monitoring
Salary Information
Pay is based on relevant experience skills for the role and location. Salary is only one part of our total reward package.
Location: Guildford or London
- Designs and implements advanced artificial intelligence models and systems including generative and agentic AI to address complex business challenges.
- Develops and maintains scalable data and machine learning pipelines ensuring seamless integration from data ingestion through model deployment and monitoring.
- Works with AI Architects to design and delivers AI solutions on major cloud platforms ensuring reliability scalability and security in production environments.
- Implements best practices in MLOps and DevOps including continuous integration continuous deployment and automated testing to ensure efficient and reliable AI delivery.
- Monitors evaluates and optimizes the performance of AI models and infrastructure for accuracy e
- Provides technical guidance and mentorship to engineering and data science teams fostering a culture of innovation and high-quality software development.
- Collaborates with cross-functional teams and communicates complex technical concepts to both technical and non-technical stakeholders ensuring alignment and successful delivery of AI initiatives.
- Stay current with the latest AI / ML trends research papers and emerging technologies. Proactively experiment with new ideas and integrate relevant innovations into practical solutions.
- Demonstrates expertise in designing developing and deploying generative and agentic AI solutions Computer Vision with an excellent understanding of large language models and autonomous agents.
- Applies advanced knowledge of machine learning deep learning and AI frameworks such as Langchain Semantic Kernel agent SDK and related libraries.
- Designs and delivers AI solutions on leading cloud platforms (Amazon Web Services Microsoft Azure Google Cloud Platform) leveraging native AI / ML services and cloud-native architectures.
- Develops and manages robust data pipelines big data technologies (e.g. Spark Kafka) and data management practices for feature stores and training data.
- Implements best practices for the machine learning lifecycle including model versioning CI / CD containerization (Docker) orchestration (Kubernetes) and automated monitoring.
- Demonstrates excellent programming skills in Python and other relevant languages with a solid foundation in software engineering principles for building production-grade systems.
- Applies knowledge of governance security and compliance requirements to ensure responsible and ethical AI development and deployment.
- Adaptability : The ability to learn and adapt quickly in the rapidly evolving field of AI.
- Bachelors degree in Computer Science Engineering Data Science or related field (MBA or advanced degree a plus).
- Experience designing developing and deploying advanced AI solutions including generative and agentic AI in production environments.
- Experience of working in Insuretch across Claims UW Pricing and customer engagement.
- Experience building and maintaining scalable data and machine learning pipelines using modern big data and cloud technologies.
- Experience applying MLOps and DevOps best practices including CI / CD containerization and automated testing.
- Experience working with cross-functional teams including data scientists engineers and business stakeholders to deliver impactful AI solutions.
- Experience communicating complex technical concepts to diverse audiences and driving alignment across teams.
We support the government scheme Access to Work please feel free to ask us about the access to work scheme.
- Flexible buy / sell holiday options
- Hybrid working
- Annual performance related bonus
- Contributory pension scheme
- Development days
- A discount up to 50% on a range of insurance products including car home and pet
- Retail discounts
- Volunteering days
Do you need flexibility with the hours you work Let us know as part of your application and if its right for our customers our business and for you then well do everything we can to make it at Allianz we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns which balance the needs of our customers with your personal circumstances and our business requirements. Our aim with this is to help innovation creativity and you to thrive - Your work life balance is important to us.
At Allianz we believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. Our commitment to equal opportunities gender equity and balanced gender representation is demonstrated by our numerous accreditations : EDGE certified for gender inclusion Women in Finance Charter members Disability Confident employer Stonewall Diversity Champion Business in the Communitys Race at Work Charter signatories and Armed Forces Covenant gold standard employer.
As part of the Disability Confident Scheme we support candidates with disabilities or long-term health conditions through the Offer an Interview Scheme for those meeting the essential skills for the role.
Contact our Resourcing team to opt into this scheme or for assistance with your application including larger text hard copies or spoken applications.
For any inquiries or to submit your application please contact : Georgie Hill
If you are an at-risk candidate facing potential redeployment please include this information in your CV.
We reserve the right to close the advert early if we reach enough applications.
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#LI-Hybrid
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Employment Type: Full-Time
Experience: years
Vacancy: 1
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