Lead development of a generative AI proof-of-concept and integrate AI solutions into software workflows. Mentor data engineers, design and implement Python-based generative AI applications, build scalable data pipelines, deploy models/APIs, and translate stakeholder requirements into technical solutions while staying current on AI and data engineering best practices.
Key Responsibilities:
- Lead the creation of a POC for using generative AI in software development, demonstrating its potential to improve efficiency, quality, and innovation.
- Collaborate with software development teams to integrate generative AI solutions into existing workflows.
- Lead and mentor a team of data engineers, providing technical guidance and fostering a collaborative team environment.
- Design, develop, and implement generative AI applications using Python.
- Work closely with stakeholders to understand business requirements and translate them into technical solutions.
- Drive the development and execution of data engineering strategies to support business objectives.
- Develop and maintain scalable data pipelines, API and model deployments, and workflows.
- Communicate complex analytical findings and insights to non-technical stakeholders in a clear and concise manner.
- Stay current with industry trends, best practices, and emerging technologies in data analytics, generative AI, and Python programming.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 5+ years of experience in data engineering and AI, with at least 2 years in a leadership or supervisory role.
- Proficiency in Python programming and its libraries (e.g. pandas, numpy, scikit-learn, matplotlib, seaborn).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data analytics and AI services.
- Strong understanding of statistical analysis, machine learning, and data mining techniques.
- Experience with generative AI models (e.g., GPT, GANs) and their applications in software development.
- Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI) is a plus.
- Solid experience with SQL and database management.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Knowledge of data governance and data privacy regulations.
- Experience in agile development methodologies.
Photon London, England Office
London, United Kingdom
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Design, build, and evaluate generative AI and agentic systems; develop enterprise semantic layers and knowledge graphs; create GenAI evaluation frameworks assessing performance, reliability, and safety; collaborate across data science, engineering, and business teams; champion best practices; lead cross-functional working groups; communicate technical findings; and provide technical consulting on high-impact initiatives.
Top Skills:
Agentic SystemsGenerative AiKnowledge GraphsMachine LearningMlopsSemantic Data Layers
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Develop and maintain commercial insurance underwriting risk models, parameterizations, statistical processes, and output exhibits. Validate model performance, analyze large datasets and insurance risk dynamics, document methodologies, and deliver practical solutions. Collaborate with underwriting and actuarial stakeholders to improve risk analytics tools and communicate technical results. The role focuses on non-catastrophe underwriting risk, stochastic financial modeling, forecasting, and regulatory risk frameworks.
Top Skills:
Capital Modeling SoftwareExcelPythonRVisual Basic For Applications (Vba)
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, assess customers’ insurance needs, recommend appropriate Property and Casualty coverage, and convert prospects into policyholders. The role includes paid training and licensing, commission opportunities, and remote work. Representatives must work four weekdays plus one weekend day, maintain a professional home workspace, and meet wired internet-speed requirements. Candidates need at least two years of sales or service-related experience, strong communication and persuasion skills, analytical ability, organization, typing, and PC proficiency.
Top Skills:
Cable/Fiber/Dsl InternetPcWired High-Speed Internet
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
