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, 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!