About The Company
White Collar Factory, located in London, United Kingdom, is a dynamic and innovative organization committed to transforming the way data and artificial intelligence (AI) are leveraged to enhance customer experiences and optimize business operations. The company fosters a culture of collaboration, continuous learning, and technological excellence, aiming to be at the forefront of AI-driven solutions in the financial services sector. With a focus on cutting-edge ML/AI applications, White Collar Factory strives to deliver impactful, scalable, and responsible AI systems that meet the evolving needs of its clients and stakeholders. The organization values diversity, inclusion, and professional growth, providing a supportive environment for talented individuals to thrive and contribute to meaningful technological advancements.
About The Role
The Staff Software Engineer - Machine Learning role at White Collar Factory offers an exciting opportunity for a seasoned professional to lead and shape the company's AI and ML technical landscape. In this position, you will be responsible for defining and executing the strategic vision for AI adoption across multiple teams, ensuring alignment with business objectives and enterprise platform capabilities. You will act as a technical leader, providing guidance on architecture, solution design, and best practices for ML/AI systems. Your expertise will drive innovation in MLOps, cloud-native architectures, and responsible AI practices, ensuring the delivery of high-quality, scalable, and low-latency AI solutions that directly impact customer satisfaction and operational efficiency. This role requires strong collaboration with cross-functional teams, senior leadership, and external industry forums to maintain the company's competitive edge in AI technology.
Qualifications
- Deep expertise in Python programming and ML engineering
- Extensive experience in designing and implementing ML/AI systems and architectures
- Proven track record of leading ML/AI initiatives across multiple teams
- Strong knowledge of cloud platforms such as AWS, Azure, or GCP
- Hands-on experience with ML frameworks including PyTorch, TensorFlow, and scikit-learn
- Familiarity with Gen AI/Agentic frameworks like LangGraph, LangChain, VectorDBs, and RAG
- Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management
- Experience in designing low-latency, customer-facing ML/AI architectures at scale
- Ability to set and communicate a multi-team ML/AI technical vision and strategy
- Strong leadership skills with the ability to influence without authority
- Knowledge of the full ML/AI development lifecycle, including model deployment, data pipelines, and Gen AI systems
- Experience leveraging enterprise platforms for scalable business use cases
- Excellent communication skills with the ability to translate technical concepts for diverse audiences
- Active participation in technical forums, Communities of Practice, or industry discussions
Responsibilities
- Define and drive the ML/AI technical strategy and vision for UK use cases, influencing overall AI adoption and innovation
- Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with enterprise goals and platform capabilities
- Provide expert technical consultancy to teams developing AI use cases, guiding architecture, design, and platform utilization
- Identify emerging ML/AI patterns, establish best practices, and promote reusable approaches for efficient delivery
- Drive MLOps standards, including CI/CD pipelines, automated testing, monitoring, and deployment processes
- Collaborate with enterprise platform and data science teams to enhance platform capabilities and deliver scalable solutions
- Build and maintain strong relationships with stakeholders, including senior leadership, product owners, and external partners
- Represent the organization in external ML/AI forums and industry discussions to stay ahead of technological trends
- Manage technical debt proactively, ensuring sustainable and maintainable AI systems
- Mentor and develop engineering talent, fostering a culture of continuous learning and innovation
Benefits
- Competitive salary package and performance-based bonuses
- Comprehensive pension scheme and private medical insurance
- Generous holiday entitlement and flexible working arrangements
- Access to professional development programs through Capital One University and external providers
- Flexible benefits including season-ticket loans, cycle-to-work schemes, and enhanced parental leave
- Modern, open-plan office environment with accessible facilities and amenities
- On-site amenities such as fully-equipped gyms, subsidized restaurants, mindfulness, and music rooms
- Opportunities for career progression within a forward-thinking organization committed to innovation
Equal Opportunity
White Collar Factory is an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace where all employees are valued and respected. We believe that a diverse team enhances our innovation and success. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. We strive to ensure our recruitment processes are fair, accessible, and free from bias.
