Senior Data and Machine Learning Engineer

• We are investing in data, technology and analytics as a strategic priority. The team brings together a number of capabilities that sit within different parts of Croud, into one unit that will drive cutting-edge development in a number of critical areas for the business
• The role sits within the Data Engineering team and reports to the Head of Data Engineering. The team’s remit is to drive innovation & revenue through the development & delivery of revenue-generating/client-facing data engineering solutions used across the agency
• The Senior Data and ML Engineer will be part of a growing team that delivers highly impactful data solutions across our extensive client portfolio and also the agency’s own product offerings
• Key responsibilities include, but are not limited to:
• Support the Head of Data Engineering in delivering data engineering solutions by actively contributing to technical decision-making and execution
• Ownership of project implementation to successfully deliver client solutions and services in collaboration with junior team members
• Championing data, software engineering and data security best practices and helping and mentoring the team to implement and uphold those practices
• Solutioning client deliverables
• Communicating effectively with clients to discuss project progress and details as required
• Being a key contributor in the implementation and maintenance of DataOps and governance policies, processes, and standards
• Hands-on involvement in data integrations, warehousing, automation and related engineering tasks
• Overseeing the deliveries across multiple clients and assuring that the solutions meet the highest quality achievable within the project constraints
• Research and Development on the possible technologies and help the team and clients adopt those where appropriate
• Highlight risks and produce effective mitigation plans to address them
• Contributing to new business and cross-sell proposals, especially with details about the implementation work in proposed projects, and with estimations of the time and effort needed, which will contribute to the commercial element of proposals
• Standard hours are from 9.00am to 5.30pm, there’s flexibility if agreed in advance with your line managers (it may also be necessary on occasions to work outside of these hours)

Benefits

• Recruitment referrals bonus
• Season Ticket loan
• Work from home opportunities
• Annual performance bonus
• Gym Membership contributions (Classpass or NYHRC)
• Equity in Croud US upon completion of 6 months
• Free home office chair
• Full Paid Medical Insurance (including dental and vision)
• 25 days holiday a year
• Ride to Work scheme
• 20 days vacation a year + 10 public holidays
• Agile working policy
• Sales commission (if involved in a pitch)
• Annual performance bonus
• Recruitment referrals bonus
• Summer Fridays
• Share option scheme
• Summer Fridays
• Sale commission
• Free fruit, breakfast cereals, snacks, soft drinks and tea & coffee
• Free home office chair and screen
• Rail card
• Medical cash plan
• Quarterly team offsites / Regular socials
• Agile Working Policy
• Free Citibike membership
• Gym membership contributions
• Life and income protection
• 401k plan
• Free fruit, breakfast cereals and tea & coffee
• We seek individuals who are proactive, self-starters with a meticulous eye for detail, and who can communicate clearly and effectively across our diverse internal and external stakeholders
• Hands-on experience developing and maintaining production data pipelines, especially using serverless technologies
• Practical data science experience building statistical and machine learning models, including feature engineering, hyperparameter tuning
• Excellent Python, SQL, and database design skills, with proficiency in dbt/Dataform or similar SQL development frameworks
• Experience productionising ML and GenAI solutions (MLOps): deploying end-to-end model pipelines and establishing evaluation, benchmarking, and continuous monitoring frameworks
• Experience leveraging GenAI technologies to build data solutions
• Proactive and self-motivated individual, keen to take initiative
• Strong software and infrastructure engineering practice: containerisation with Docker, infrastructure automation (preferably Terraform), and CI/CD pipelines
• Proficient with cloud-based modern data warehousing technologies, particularly GCP and BigQuery (we are also open to candidates with strong comparable experience on other leading cloud platforms)
• Ability to communicate clearly and effectively on technical topics with both technical and non-technical stakeholders
• Experience in an agency environment while managing multiple priorities
• Prior experience with Martech technologies and solutions

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