Head of Machine Learning

3 weeks ago

London, United Kingdom NLP PEOPLE Full time
Head of Machine Learning & Data Science CofE

Head of Machine Learning and Data Science Centre of Excellence – Remote – United Kingdom

Role Overview:
• The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and large language model (LLM) solutions.
• These solutions will leverage structured and unstructured data to automate workflows and revolutionize service delivery.
• The role aims to transform the company into a technology-driven powerhouse by fostering innovation and driving business growth.

Key Responsibilities:
• Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with overall business objectives and tech enablement goals.
• Build and lead a high-performing, cross-functional team of ML engineers, data scientists, and domain experts.
• Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges.
• Collaborate with stakeholders (CTO, CEO, SVP… of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions into impactful projects.
• Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, EU AI legislation).
• Oversee end-to-end development and deployment of ML and LLM solutions.
• Establish best practices, standards, and processes for ML model development and production deployment.
• Develop performance metrics and KPIs aligned with business objectives.

Essential Skills:
• Proven expertise in machine learning, deep learning, and natural language processing (NLP) techniques.
• Hands-on experience in building and deploying end-to-end ML solutions.
• Strong programming skills in Python and proficiency in ML frameworks (e.g., TensorFlow, PyTorch).
• Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable ML model deployment.
• Understanding of data privacy, security, and ethical AI principles.
• Excellent communication, stakeholder management, leadership, and problem-solving skills.
• Experience Required:

-Minimum of 8-10 years of relevant experience.

-Demonstrated experience in building and leading high-performing ML and data science teams, fostering a culture of innovation and collaboration.

-Extensive experience in cloud-based ML model deployment, leveraging infrastructure-as-code (IaC) principles and MLOps best practices.

-Experience working in regulated industries, with a strong understanding of data privacy, security, and compliance requirements (e.g., GDPR, EU AI legislation).

-Proven success in driving ML and AI initiatives that have resulted in measurable business impact, such as process automation, cost optimization, or revenue growth.

-Exposure to a range of industries and domains, with the ability to quickly understand and apply ML solutions to diverse business problems.

-Familiarity with agile development methodologies and project management frameworks for successful delivery of ML and AI projects.

This role offers an outstanding opportunity to shape the future of a global leader in business process outsourcing, driving innovation and transforming service delivery through the power of machine learning and artificial intelligence. The successful candidate will have the chance to build a world-class ML and Data Science Center of Excellence from the ground up, leaving a lasting impact on the company’s growth and success

PhD Studentship in Computer Science: AI and Machine Learning… Machine Learning/MLOps Engineer (all genders)

Ecosia

Anywhere,

  • Full Time
  • Posted 3 days ago
  • Closes: Aug 15, 2024
Senior Researcher in Healthcare AI and Machine Learning

The Oxford Foundry, University of Oxford

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