Head of Machine Learning and Data Science Centre

Job information Head of Machine Learning and Data Science Centre from the Company Williams Lea, this latest Head of Machine Learning and Data Science Centre job vacancy is located in the city Remote. This latest job opening is open to job seekers who have the latest education / graduate . Job Vacancies in this Administration field have been opened and published up to the specified time.

Job Description :

Head of Machine Learning and Data Science Centre of Excellence - Remote - United Kingdom Head of, Machine Learning and Data Science Center of Excellence Salary: £105,000 - £130,000 dependant on skills and experience Location: Remote, United Kingdom Contract: Permanent Williams Lea, a leading global business process outsourcing (BPO) firm, seeks a visionary and hands-on Senior Manager to spearhead the establishment and oversight of a Machine Learning and Data Science Center of Excellence. This strategic role will be instrumental in driving AI and tech enablement initiatives across the company's diverse service offerings, creating market differentiation, increasing profit margins, and delivering superior service to clients. Williams Lea serves clients in 20 countries across four continents and has 7,000 employees worldwide. 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. EWARDS & BENEFITS We believe in supporting our employees in both their professional and personal lives. As part of our commitment to your well-being, we offer a comprehensive benefits package, including but not limited to:

• 25 days holiday plus 8 days bank holidays
• sacrifice schemes, retail vouchers - including our TechScheme which can be used on a range of gadgets such as Smart TV's, laptops and computers or household appliances.
• Assurance
• Medical Insurance
• Insurance
• Assessments
• scheme
• memberships
• Scheme

You will also have the opportunity to work for a global employer who is dedicated to offering each and every employee an enjoyable, challenging and rewarding career with future career development prospects! EQUALITY & DIVERSITY The Company values the differences that a diverse workforce brings to the organisation and will not discriminate because of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (which includes colour, nationality and ethnic or national origins), religion or belief, sex or sexual orientation (each of these being a “protected characteristic” in discrimination law). It will not discriminate because of any other irrelevant factor and will build a culture that values openness, fairness and transparency. If you have a disability and would prefer to apply in a different format or would like to make a reasonable adjustment to enable you to make an interview please contact us at . Please note: Due to the high volume of responses received for this role we will not be able to contact all applicants directly. If you have not heard from us in four weeks, please consider your application unsuccessful.