Machine Learning Engineer
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I'm working with a leading tech company in London that's at the forefront of AI innovation. They're seeking a talented Machine Learning Engineer to join their dynamic team. This is an exciting opportunity to work on cutting-edge AI projects in a hybrid work environment.
Job Responsibilities:
- Develop and implement advanced machine learning models and algorithms
- Scale and optimise ML pipelines for improved performance and efficiency
- Collaborate with cross-functional teams to integrate ML solutions into products
- Conduct data analysis and feature engineering to enhance model accuracy
- Stay up-to-date with the latest ML research and apply new techniques as appropriate
Technical Skills Required:
- Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes)
- Solid understanding of statistical concepts and machine learning algorithms
- Familiarity with NLP and deep learning techniques
- Experience with big data technologies like Spark or Hadoop
Nice to Have:
- Experience with MLOps practices and tools
- Knowledge of distributed computing and model serving at scale
- Background in computer vision or reinforcement learning
Qualifications:
- MSc or PhD in Computer Science, Machine Learning, or related field
- 3+ years of professional experience in machine learning engineering
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration abilities
Compensation:
- Competitive salary range: £75,000 - £95,000 per annum, depending on experience
- Generous equity package
- Comprehensive benefits including health insurance and pension plan
This is an excellent opportunity to work on challenging problems in AI and make a significant impact in the field. If you're passionate about machine learning and want to be part of a fast-growing, innovative team, pleasesend me a direct messagewith your CV and a brief introduction. Alternatively, you canapply directly through this post. We look forward to hearing from you!
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