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, 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!
