As a Lead MLops Engineer, you will be an integral part of our client's advanced analytics team, helping to solve complex business problems using data-driven insights and AI technologies. This fully remote role offers the flexibility to work from anywhere in the UK, allowing you to balance your professional and personal life while contributing to cutting-edge projects.
Key Responsibilities:
- Develop, implement, and optimize machine learning models and AI solutions to address client-specific challenges.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Analyze large datasets to extract meaningful insights and present findings to clients in a clear and concise manner.
- Implement and manage ML Ops practices to ensure the reliability and scalability of machine learning solutions.
- Continuously explore and evaluate new technologies and methodologies to enhance our client's service offerings.
- Provide technical guidance and mentorship to junior team members.
- Contribute to the development of internal tools and frameworks to streamline processes and improve efficiency.
Qualifications:
- Proven experience as a MLops Engineer, with a strong portfolio of projects showcasing your expertise.
- Consulting experience is a must.
- Proficiency in programming languages such as Python, R, or Java.
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong knowledge of data manipulation and analysis tools (e.g., SQL, Pandas).
- Experience with ML Ops practices and tools.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
What They Offer:
- Competitive salary and benefits package.
- Flexible, fully remote working environment.
- Opportunities for professional development and continuous learning.
- Collaborative and inclusive company culture.
- The chance to work on diverse and impactful projects with leading organizations.
