Backend Python & AI Engineer

An ambitious and fast-growing financial technology company on a mission to transform how people understand and interact with their personal finances. By combining intelligent technology with a forward-thinking team, they’re making money management clearer, smarter, and more empowering.

About the Role:

They’re integrating AI technologies across the business to streamline operations, reduce risk, and enhance the user experience. As part of this, they’re looking for a skilled Python and AI Engineer to help drive this transformation—both by developing new capabilities and maintaining existing systems. This is a hands-on engineering role where you’ll work across the full software lifecycle—from development and deployment to ongoing optimisation and support. You’ll join a collaborative, cross-functional team and take the lead on building Python-based AI solutions and modern data-driven applications.

Key Responsibilities:

• Design, build, and maintain scalable Python applications.
• Modernise and enhance legacy systems using AI/ML approaches.
• Develop APIs and data pipelines for both batch and real-time processing.
• Build, train, and deploy AI models with a focus on performance, accuracy, and scalability.
• Engineer AI-powered tools and services, including intelligent agents.
• Work closely with data engineers, analysts, and product teams to align technology with business needs.
• Contribute to architectural planning, code reviews, and ongoing improvements to engineering practices.
• Ensure alignment with cybersecurity, data privacy, and governance standards.

Technical Skills:

• 5+ years of experience in software engineering, including 3+ years of Python in production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2).
• Strong background in working with large datasets using tools like Pandas, NumPy, or Spark.
• At least 2 years' experience with machine learning, deep learning, or AI systems.
• Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV.
• Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic).
• Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka).
• Experience deploying ML models in production using REST APIs, microservices, and Docker containers.
• Understanding of NLP, LLMs, and prompt engineering techniques.
• Proficient in version control, CI/CD pipelines, and test-driven development.

Nice to Have:

• Experience within financial services or fintech.
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker).
• Understanding of regulatory or compliance frameworks.
• Academic background in mathematics, statistics, or quantitative disciplines.

Who You Are:

• A natural problem-solver and independent thinker with a structured approach to work.
• Passionate about learning, growth, and continuous improvement.
• Organised and self-motivated, with excellent time management.
• Comfortable taking initiative and ownership of technical decisions.
• A collaborative team player who thrives in a dynamic, close-knit environment.
• Open to feedback and committed to helping others grow alongside you.
• Strong communication skills, both written and verbal—you’re able to clearly articulate complex ideas to both technical and non-technical audiences.

What You’ll Get:

• A flexible, outcome-focused work environment with a hybrid working model.
• 25 days annual leave, plus the trust to manage your personal time without micromanagement.
• Regular social events with a variety of options to suit all team members.
• A dog-friendly office in London with breakout zones, quiet booths, and collaborative spaces.
• Access to physical and mental wellness support including fitness classes and gym membership.
• Salary sacrifice options to support your financial future.
• A progressive, family-friendly policy framework.

Unfortunately, sponsorship is not available for this role.