Senior Machine Learning Engineer
- london, england, SW1A 0AA, United Kingdom
- Job type not listed
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is at the forefront of technological innovation and is seeking a highly skilled Senior Machine Learning Engineer to join their dynamic team in London . This pivotal role involves designing, developing, and deploying cutting-edge machine learning models and algorithms that will shape the future of our client's product offerings. You will be instrumental in translating complex business challenges into data-driven solutions, working collaboratively with cross-functional teams, including data scientists, software engineers, and product managers. This position offers a unique opportunity to contribute to impactful projects in a fast-paced, intellectually stimulating environment that fosters creativity and professional growth, driving advancements in artificial intelligence.
Key Responsibilities
- Develop and implement advanced machine learning algorithms and statistical models for predictive analytics and pattern recognition.
- Design, train, and evaluate models using large, complex datasets, ensuring scalability and efficiency.
- Collaborate with data engineers to build robust data pipelines for model training and deployment.
- Conduct rigorous A/B testing and performance monitoring of deployed models to ensure optimal results.
- Research and stay abreast of the latest advancements in AI and ML, proposing innovative solutions and techniques.
- Mentor junior engineers and contribute to the team's overall technical expertise and best practices.
Requirements
- Master's or Ph.D. in Computer Science, Statistics, or a related quantitative field.
- Proven experience (5+ years) in developing and deploying production-level machine learning systems .
- Strong programming skills in Python, with proficiency in libraries such as TensorFlow, PyTorch, and scikit-learn.
- Deep understanding of deep learning architectures , natural language processing, or computer vision.
- Experience with cloud platforms like AWS, Azure, or GCP, and containerization technologies (Docker, Kubernetes).
- Excellent analytical, problem-solving, and communication skills.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance packages.
- Generous annual leave and flexible working hours.
- Opportunities for professional development, including conferences and training.
- A stimulating work environment with opportunities to work on groundbreaking AI technologies.