Get AI-powered advice on this job and more exclusive features.Role Purpose:Support the development and maintenance of software tools that underpin Data Science solutions and operations, using modern technologies (e.g. AWS, Docker, Kubernetes) to contribute to improved business performance.Collaborate with business stakeholders and engineering teams to gather requirements and contribute to the design and implementation of solutions.Assist in maintaining and enhancing existing tools/services developed by the Data Science team.Build CI/CD pipelines and contribute to testing, logging, and monitoring processes under guidance.Participate in code reviews and follow CarTrawler best practices for clean, maintainable code.Continuously develop technical skills and support the wider team, working under the mentorship of senior engineers.Reporting to: Head of MLOpsKey Duties & Responsibilities:Collaborating with team members and stakeholders to understand project requirements and identify areas where support is neededStaying up to date with developments in Data Science and DevOps to help ensure our tech stack remains currentContributing to the development of Data Science engineering solutions by:Supporting data collection, cleaning, and preparation based on identified requirementsAssisting in the implementation of engineering solutions using appropriate tools and technologiesFollowing best practices for CI/CD, testing, logging, and monitoring under guidanceWriting scalable, production-ready code where appropriate, with support from senior colleaguesParticipating in deployments and monitoring the solution impactSupporting ongoing development and maintenance of internal Data Science tools/platforms, such as:MVT – Multi-variate testing platformACDC – Cloud-based ML deployment toolAction Factory – Automated decision-making platformEcho – MLOps pipeline management toolVarious internal Python libraries and utilitiesAssisting with BAU tasks and ongoing support of tools and services provided by the Data Science teamClearly communicating updates and progress to team members in a way that suits both technical and non-technical audiencesParticipating in proof-of-concept projects, helping to explore innovative solutions and learning how to analyse and interpret data effectivelyTaking ownership of personal development by seeking guidance and feedback from mentors and contributing positively to a collaborative team environmentKnowledge and Skills:Undergraduate degree in Computer Science, Engineering, Mathematics, or related technical field, or relevant internship/industry experienceGood understanding of software engineering and DevOps practices (e.g. Jenkins, Github Actions), including Object-Oriented Programming, data structures, version control, REST APIs, and containerisation tools (e.g. Docker, Kubernetes)Exposure to cloud platforms such as AWS or AzureExperience with developing GenAI applications, or surrounding tech stack (e.g. Vector DB, NLP, LLM) seen as a plusProficient in writing clean, structured Python code; familiarity with common Python libraries used in data science and machine learningComfortable using version control systems (e.g. Git) and basic development workflows (commits, branches, pull requests)Exposure to ML libraries (e.g. scikit-learn; bonus for familiarity with TensorFlow or PyTorch)Willingness to learn test-driven development and build basic unit and integration tests with supportAn interest in learning about production considerations like resource constraints and scalabilityBasic SQL skills; exposure to other database types (graph, NoSQL) is a plusStrong communication skills with a desire to learn how to present technical concepts clearly to varied audiencesA proactive and curious mindset, with a collaborative approach to learning and team engagementExperience with developing GenAI applications or of supporting tech stack seen as a plusSeniority levelNot ApplicableEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesSoftware Development, IT Services and IT Consulting, and Biotechnology Research
#J-18808-Ljbffr