Join the Future of AI in Finance

Role Overview

We are seeking a Lead Machine Learning Engineer to lead the design, development, and deployment of AI-driven applications within the AlgoRisk AI ecosystem. You will be responsible for refining existing AI-powered apps (LLM agents, model documentation, validation tools) and developing new ML-based products that solve complex risk, compliance, and banking challenges.

Key Responsibilities

• •Lead the design and development of AI/ML applications within the AlgoRisk AI platform
• •Refine and enhance existing LLM-based agents, copilots, and workflow automation apps for risk and compliance use cases
• •Develop new machine learning solutions for model development, validation, governance, and process optimization
• •Collaborate with engineering teams to productionize ML models in scalable, secure environments
• •Drive research and experimentation with LLMs, generative AI, and applied ML techniques to expand product capabilities
• •Ensure applications meet enterprise-grade performance, explainability, and compliance standards
• •Lead and mentor junior ML engineers, setting technical direction and best practices
• •Partner with clients and internal stakeholders during pilots and deployments to tailor AI applications to real-world banking environments

Requirements

• •6+ years of experience in applied machine learning, with at least 2+ years in a lead/mentorship role
• •Strong expertise in ML/AI Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, RAG pipelines
• •Deep knowledge of NLP & LLMs: fine-tuning, prompt engineering, embeddings, retrieval systems
• •Proficiency in Data Engineering: SQL, Python (Pandas, NumPy), ETL pipelines
• •Experience with Cloud/Deployment: AWS/GCP/Azure ML services, Docker, Kubernetes
• •Experience with enterprise AI applications in finance, compliance, or regulated industries (preferred)
• •Familiarity with risk modeling, credit/market/operational risk, or regulatory frameworks (bonus)
• •Track record of delivering ML applications from prototype to production
• •Strong leadership skills with ability to mentor and grow an ML engineering team

What We Offer

• •Lead the AI innovation strategy of a fast-scaling fintech startup
• •Direct impact on shaping the future of AI in global banking
• •Opportunity to develop and refine cutting-edge enterprise AI apps
• •Competitive salary + benefits
• •Flexible working environment (London HQ + hybrid/remote)
• •A culture of innovation, ownership, and collaboration

Role Overview

We are seeking a Senior Full-Stack Engineer to join our core engineering team. You will play a critical role in architecting, developing, and scaling our enterprise platform while working closely with clients during pilots and deployments. This is a hands-on engineering role that blends technical excellence with product delivery for some of the world's leading financial institutions.

Key Responsibilities

• •Design, develop, and maintain end-to-end web applications for the AlgoRisk AI platform
• •Build scalable, secure, and high-performance backend APIs (FastAPI, Python)
• •Implement modern frontend UIs with React (Next.js, Tailwind, Monaco editor)
• •Collaborate with AI/ML engineers to integrate LLM-based agents and execution environments
• •Implement enterprise versions of AlgoRisk AI tailored for banking clients, ensuring performance, security, and compliance
• •Work directly with clients during pilot programs, ensuring smooth deployment, integration with bank systems, and user adoption
• •Contribute to DevOps, CI/CD pipelines, and cloud infrastructure (AWS, Render, or equivalent)
• •Optimize system performance and resilience for enterprise environments
• •Mentor junior engineers and drive engineering best practices
• •Provide technical input into product roadmap, client solutions, and enterprise architecture decisions

Requirements

• •5+ years of experience in full-stack engineering, preferably in SaaS or fintech
• •Strong expertise in Backend: Python (FastAPI, Flask, or Django), REST APIs, Postgres/SQL
• •Proficiency in Frontend: React, Next.js, TypeScript, Tailwind CSS
• •Experience with DevOps/Cloud: Docker, Kubernetes, AWS/GCP/Azure, CI/CD
• •Experience delivering enterprise SaaS implementations and working with client IT/security teams
• •Prior exposure to AI/ML workflows, data pipelines, or risk modeling tools (preferred)
• •Strong communication skills to work directly with clients during pilots and deployments
• •Ability to thrive in a fast-paced startup environment while balancing engineering rigor with delivery needs

What We Offer

• •Opportunity to shape the core technology of a fast-scaling AI-first fintech startup
• •Direct involvement in enterprise rollouts and pilot projects with major banks
• •Competitive salary + benefits
• •Flexible working environment (London HQ + hybrid/remote)
• •A culture of innovation, ownership, and collaboration

Role Overview

As a Machine Learning Intern at AlgoRisk AI, you will explore the application of LLMs, NLP, and ML techniques to banking and risk management. You'll work with our ML engineers to refine existing AI-powered applications and experiment with new use cases.

Key Responsibilities

• •Assist in fine-tuning and testing large language models (LLMs) for risk and compliance tasks
• •Experiment with retrieval-augmented generation (RAG), embeddings, and prompt engineering
• •Analyze banking datasets to support model development and validation
• •Help optimize ML workflows for enterprise deployments
• •Document experiments and contribute to research discussions
• •Support the development of AI-powered applications for financial services
• •Participate in code reviews and learn best practices for ML engineering
• •Collaborate with senior engineers on real-world AI projects

Requirements

• •Pursuing a degree in Data Science, AI/ML, Computer Science, or related field
• •Solid Python skills (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
• •Familiarity with NLP concepts and LLM frameworks (Hugging Face, LangChain) is a plus
• •Curiosity about AI applications in finance
• •Strong analytical and problem-solving skills
• •Ability to work independently and as part of a team
• •Good communication skills and eagerness to learn

What We Offer

• •Hands-on experience with cutting-edge AI technologies
• •Mentorship from experienced ML engineers and researchers
• •Exposure to real-world applications of AI in financial services
• •Opportunity to contribute to production AI systems
• •Flexible working arrangements
• •Potential for full-time offer upon successful completion

Role Overview

As a Software Engineering Intern at AlgoRisk AI, you will gain hands-on experience building enterprise-grade applications at the intersection of AI and financial services. You'll work alongside our engineering team to enhance the AlgoRisk AI platform, contributing to both frontend and backend development.

Key Responsibilities

• •Assist in developing and testing new features for the AlgoRisk AI platform
• •Support backend development using Python (FastAPI, Flask)
• •Contribute to frontend components using React, Next.js, and Tailwind CSS
• •Participate in debugging, performance testing, and documentation
• •Collaborate with engineers to deliver pilots and client-ready solutions
• •Learn about enterprise software development practices
• •Participate in code reviews and team meetings
• •Support quality assurance and testing processes

Requirements

• •Pursuing a degree in Computer Science, Engineering, or related field
• •Knowledge of Python and/or JavaScript/TypeScript
• •Familiarity with React or backend frameworks is a plus
• •Strong problem-solving and teamwork skills
• •Eagerness to learn new technologies and frameworks
• •Good communication skills
• •Attention to detail and commitment to quality

What We Offer

• •Real-world experience with modern web development technologies
• •Mentorship from senior software engineers
• •Exposure to enterprise software development practices
• •Opportunity to work on products used by major financial institutions
• •Flexible working environment
• •Potential pathway to full-time employment

Role Overview

As a Strategy & Product Intern, you will support the growth of AlgoRisk AI by working at the intersection of product, regulation, and client engagement. This role is ideal for students with interest in finance, risk, compliance, and fintech innovation.

Key Responsibilities

• •Conduct research on regulatory frameworks (IFRS 9, Basel, PRA, EBA, FED)
• •Assist in preparing product materials, demos, and pilot documentation
• •Support client workshops and help translate banking requirements into product features
• •Analyze competitor offerings and market trends in AI for risk and compliance
• •Work closely with founders to shape go-to-market strategies
• •Support business development and partnership initiatives
• •Contribute to thought leadership content and industry reports
• •Assist in client onboarding and success initiatives

Requirements

• •Pursuing a degree in Finance, Economics, Business, Data/Analytics, or related field
• •Interest in banking regulations, risk management, or fintech
• •Strong analytical and communication skills
• •Ability to work independently in a fast-paced startup environment
• •Research and writing capabilities
• •Curiosity about financial technology and AI applications
• •Attention to detail and strong organizational skills

What We Offer

• •Deep exposure to fintech and regulatory technology
• •Direct mentorship from company founders
• •Opportunity to shape product strategy and go-to-market approach
• •Networking opportunities with industry professionals
• •Insight into startup operations and growth strategies
• •Potential for full-time role in business development or product management