Machine Learning Engineer

Details of the offer

Machine Learning Engineer DM for more info 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, please send me a direct message with your CV and a brief introduction.
Alternatively, you can apply directly through this post .
We look forward to hearing from you!


Nominal Salary: To be agreed

Source: Talent_Dynamic-Ppc

Requirements

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