Software Engineer, Machine Learning - QuantumBlack Labs

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

WHO YOU'LL WORK WITH

For over ten years, QuantumBlack has been at the forefront of AI and Machine Learning solutions for Advanced Analytics business applications. Serving clients who are the global leaders in their respective fields, our teams of world-class data scientists, data engineers, and business experts rely on specialist software created by QuantumBlack Labs, our innovation and product engineering group.

Operating like an “internal start-up”, we build software that facilitates, accelerates, and enables the development and deployment of AI/Machine Learning solutions. These tools draw on the latest insights from our client work and research & development efforts and deliver solutions as part of delightful experiences. We’ve already done a lot to be proud of, such as:

• Building frameworks and libraries for data scientists and data engineers to work on large-scale, complex analytics projects (we open-sourced our award-winning Kedro)
• Creating an “internal open-source” platform to share and reuse machine learning models and other technical assets
• Designing products that can explain complex data landscapes and insights through novel visualisations
• Codifying the methodology by which we deliver advanced analytics projects to our clients

WHY JOIN US

At QuantumBlack you will collaborate with a wide range of people from different backgrounds and disciplines whilst drawing on the support and benefits of the wider -insey community. You will have a front row seat at the cutting edge of technology research and development areas including machine learning, artificial intelligence, and analytics-powered business transformation across many industries, applying your new knowledge to develop first-to-industry solutions

What our developers particularly love about QuantumBlack Labs:

• Autonomy – Your users sit on the desk next to you, giving you unparalleled insight into key problems and the ability to design solutions iteratively, with literally rapid feedback. The fact that our developers have such good access to users make them great candidates to feed into the product lifecycle and suggest the next big thing!
• Variety & growth – You’ll be part of an ecosystem of different products, providing unique learning and development opportunities. You're also supported to develop your career through first-class learning programmes, conference visits and more.
• Collaborative, Multi-disciplinary Environment– Our teams include machine learning engineers, creative technologists, product managers, and designers with various experience spikes who work collaboratively and are passionate about their work.
• Innovative work culture– Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
• Striving for diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.

WHAT YOU'LL DO

As a Machine Learning Engineer in QuantumBlack Labs you will:

• Design, refactor and build real-world scalable machine learning pipelines and deploy them to production
• Operate at the intersection of data science and software engineering to create scalable analytics solutions
• Produce high-quality code that allows us to put solutions into production
• Choose and use the right analytical libraries, programming languages, and frameworks for each task
• Play an active role in leading team meetings and workshops to inform product development and process evolution
• Own and drive product decisions using your engineering creativity as a core part of the product team
• Translate business problems into engineering solutions, looking at solutions that reach across our tech stack
• Develop infrastructure that will be the concrete foundation of a new greenfield offering focused on MLOps
• Strive to continuously improve and apply engineering best practices and standards

Our Tech stack:

• While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the Python Scientific Stack; MLFlow, Grafana, Prometheus for machine learning pipeline management and monitoring; SQL, Airflow, Databricks, our own open-source data pipelining 
• framework called Kedro, Dask/RAPIDS; Django, GraphQL and ReactJS for horizontal product development; container technologies such as Docker and Kubernetes, CircleCI/Jenkins for CI/CD, cloud solutions like AWS, GCP, and Azure as well as Terraform and Cloud formation for deployment, and many more!
• However, we advocate using the right tech for the right task. Technology evolves and the engineering is responsible to stay up to date with the latest technologies and ensure we make the relevant changes when needed.

WHO YOU ARE:

• A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the impact of the entire team is greater than the sum of its individual parts.
• You are a highly collaborative individual who can lay aside your own agenda, who can listen and learn from other colleagues and challenges thoughtfully and constructively.
• Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients.
• You are naturally enthusiastic and enjoy sharing your passion with others.
• You search for ways to improve things, believe in iterative change, experiment with new approaches, learn and improve to move forward quickly.