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Machine Learning Engineering Manager

Tbwa Chiat/Day Inc
London
2 months ago
Applications closed

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Machine Learning Engineering Manager

Machine Learning Engineering Manager (Basé à London)

Machine Learning Engineering Manager (Basé à London)

Machine Learning Engineering Manager

Machine Learning Engineering Manager

Machine Learning Engineering Manager

1st Floor The Rex Building, 62-64 Queen Street,London, England, EC4R 1EB Location: London, UK (Hybrid) Type:Full-Time Who we are Artefact is a new generation of data serviceprovider, specialising in data-driven consulting and data-drivendigital marketing. We are dedicated to transforming data intobusiness impact across the entire value chain of organisations.With skyrocketing growth, Artefact has established a globalpresence with over 1,500 employees across 23 offices worldwide. Ourdata-driven solutions are designed to meet the specific needs ofour clients, leveraging our deep AI expertise and innovativemethodologies. Our cohesive teams of data scientists, engineers,and consultants are focused on accelerating digital transformation,ensuring tangible results for every client. Role Overview We arelooking for a Machine Learning Manager to support a team of datascientists and ensure the successful delivery of our projects. Theideal candidate will be willing to be hands-on with projects,meaning involvement in model design, coding, and developingend-to-end data solutions, including data preprocessing,visualization, and deploying models into production environments.One of the key components of the role is to supervise junior andsenior data scientists on code and delivery. Therefore, we ask allapplicants to submit an example of code (a repository, a pullrequest, or something similar) to have an estimate of the hands-oncoding ability. This role is crucial in - Driving project successby providing clear direction, solving complex, industry-drivenproblems, and ensuring high-quality results. - Leading technicalproject delivery through hands-on prototyping, design, and coding.- Leading and upskilling a team of data scientists. Keyresponsibilities - Lead and deliver impactful data transformationprojects for clients. - Build strong client relationships,leveraging your technical expertise to drive operationaltransformation. - Participate in international projects withopportunities for business travel. - Ensure successful projectdelivery and communicate these successes across the company. -Foster continuous learning and growth within the data science team.- Provide mentorship, ensuring high work standards and supportingteam well-being. - Demonstrate technical leadership and contributeto institutional knowledge. - Embody Artefact’s values and inspireothers to do the same. Qualifications: Education & experiencerequired Essential skills: - Degree in Computer Science,Engineering, Mathematics, Statistics, or a related field. - Strongprogramming skills in Python. - Experience working with large-scaledatasets and database systems (SQL and NoSQL). - Understanding ofsoftware development lifecycle and agile methodologies. - Provenexperience designing, developing, and deploying machine learningmodels. - Experience with debugging ML models. - Experience withorchestration frameworks (e.g. Airflow, MLFlow, etc). - Experiencedeploying machine learning models to production environments. -Knowledge of MLOps practices and tools for model monitoring andmaintenance. - Familiarity with containerization and orchestrationtools like Docker and Kubernetes. - Hands-on experience with cloudplatforms such as AWS, Google Cloud Platform, or Microsoft Azure. -Demonstrated ability to identify, analyse, and solve complextechnical problems in innovative ways. - Commitment to stayingupdated with the latest advancements in machine learning andrelated technologies. - Professional experience in a consumermarketing context. Why Join Us: - Artefact is the place to be: comeand build the future of marketing. - Progress: every day offers newchallenges and new opportunities to learn. - Culture: join the bestteam you could ever imagine. - Entrepreneurship: you will bejoining a team of driven entrepreneurs. We won’t give up until wemake a huge dent in this industry! What we are looking for: - ADoer: You get things done and inspire your team to do the same. -An Analyst: You love data and believe every decision should bedriven by it. - A Pragmatist: You have a hacker mindset and alwaysfind quick wins. - A Mentor: Your clients and teams naturally seekyour advice. - An Adventurer: You’re an entrepreneur constantlylooking for problems to solve. #J-18808-Ljbffr

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