Machine Learning Manager

NLP PEOPLE; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A data analytics firm in London is seeking a Machine Learning Manager to lead and manage a team of Machine Learning Scientists. The successful candidate will oversee complex projects, act as a spokesperson on machine learning topics, and ensure the team's performance aligns with organizational goals. Candidates should possess a Master's degree and have at least 2 years of experience. This role offers a pivotal position in shaping analytic products.

Qualifications

• Ability to build and troubleshoot analytic systems.
• Experience in analyzing large datasets.
• Proven track record in mentoring and team development.

Responsibilities

• Manage teams of Machine Learning Scientists.
• Oversee complex projects with significant impact.
• Act as a spokesperson for machine learning topics.

Skills

Analytical skills

Machine learning expertise

Leadership

Data analysis

Consulting skills

Education

Master Degree

Job description

Overview

Machine Learning Managers manage the work efforts of Machine Learning Scientists and are accountable for the performance and results of their staff. They oversee highly complex projects that have significant impact on the organization. They consult on complex issues and contribute key ideas. They are a spokesperson and advocate on relevant machine learning topics to both internal and external audiences and stakeholders. They contribute directly to the features and capabilities deployed in our applications. They are responsible for advanced project delivery, execution, and support. They work closely with cross-functional business units, software engineering, and data scientists to simulate and test econometric/probabilistic relationships across the big data stack. They also work with product and marketing teams to understand client goals and turn research into products. Machine Learning Managers provide guidance to their staff within the latitude of established company policies and receive assignments in the form of objectives and determine how to use resources to meet schedules and goals. They adapt departmental plans and priorities to address resource and operational challenges. They have responsibility for human resources related activities, such as hiring, performance management, career development, pay reviews, etc. They participate in the budget process, as well as forecasts for their department. Machine Learning Managers have extensive knowledge of the field and possess a combination of machine learning, computer science, data mining, and statistical experience. They demonstrate strong leadership skills and create an atmosphere that encourages and fosters superior teamwork and strong work ethics.

Company

DST Applied Analytics

Responsibilities

• Manage the work efforts of Machine Learning Scientists and be accountable for performance and results of staff.
• Oversee highly complex projects with significant organizational impact and consult on complex issues.
• Act as a spokesperson and advocate on relevant machine learning topics to internal and external audiences.
• Contribute directly to features and capabilities deployed in applications; responsible for advanced project delivery, execution, and support.
• Collaborate with cross-functional business units, software engineering, and data scientists to simulate and test econometric/probabilistic relationships across the big data stack.
• Work with product and marketing teams to understand client goals and translate research into products.
• Provide staff guidance within company policies and manage resources to meet schedules and goals.
• Adapt departmental plans to address resource and operational challenges.

Qualifications

Technical Qualities

• Ability to build, analyze, and troubleshoot proprietary targeting and analytic systems to optimize revenue across multiple business units.
• Analyze large data sets and translate insights into system concepts and algorithms forming core analytic products.
• Serve as a primary consultant on complex issues and advocate on machine learning topics to audiences.
• Collaborate with cross-functional teams to simulate and test relationships across the big data stack; work with product and marketing to turn research into products.
• Contribute to scope of new algorithm development, including design of algorithms and models to optimize key business metrics; analyze performance of algorithms and monitoring/visualization techniques.
• Assist in conducting proof-of-concept studies for early-stage research; contribute to research and implementation of distributed, scalable machine learning and statistical approaches.
• Manage and support advanced project delivery, execution, and support; influence product directions.
• Mentor and develop team members and other technical roles; possess extensive knowledge of the field.

Educational level

Master Degree

Level of experience (years)

Mid Career (2+ years of experience)

How to apply

Please mention NLP People as a source when applying

https://www.linkedin.com/jobs2/view/123311897?refId=410356921464619302676&trk=vsrp_jobs_res_name&trkInfo=VSRPsearchId%3A410356921464619302676%2CVSRPtargetId%3A123311897%2CVSRPcmpt%3Aprimary

Tagged as: Industry, Machine Learning, Master Degree, United Kingdom