Machine Learning Engineer
2 weeks ago
Job Description
Machine Learning Engineer
£70-120k + benefits
London Hybrid
Why Join?
- AI/ML driven business
- Innovation is core to business success
- Global leader in this space with leading international orgs as customers
- Forge your career path, opportunity to follow leadership or senior IC positions
- Work with people from across the globe
- Create and improve innovative products with a real world impact
Responsibilities:
- Research, design, and implement machine learning algorithms and models to address business challenges and opportunities.
- Collect, preprocess, and analyze large datasets to extract meaningful insights and features.
- Develop and deploy scalable machine learning solutions that integrate seamlessly with our existing systems and platforms.
- Collaborate with software engineers, data scientists, mlops engineers and product managers to define requirements and deliver solutions that meet business objectives.
- Stay current with the latest developments in machine learning and related fields, and apply cutting-edge techniques to enhance our capabilities.
Requirements:
- Solid understanding of machine learning concepts and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Proficiency in programming languages such as Python, Java, Scala or C++, and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques.
- Strong problem-solving skills and the ability to think critically and analytically.
- Excellent communication and teamwork skills, with the ability to collaborate effectively with colleagues from diverse backgrounds and disciplines.
Preferred Qualifications:
- Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- MLOps experience,
- Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform).
- Familiarity with big data technologies such as Apache Hadoop, Spark, or Kafka.
- Experience deploying machine learning models in production environments.
- Contributions to open-source machine learning projects or research publications in relevant conferences or journals.
If you're ready to be part of a cutting-edge team, drive innovation, and elevate user experiences, this is the place for you. Apply now and help us shape the future of technology
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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