Machine Learning Engineer DM for more info I'm workingwith a leading tech company in London that's at the forefront of AIinnovation. They're seeking a talented Machine Learning Engineer tojoin their dynamic team. This is an exciting opportunity to work oncutting-edge AI projects in a hybrid work environment. JobResponsibilities: - Develop and implement advanced machine learningmodels and algorithms - Scale and optimise ML pipelines forimproved performance and efficiency - Collaborate withcross-functional teams to integrate ML solutions into products -Conduct data analysis and feature engineering to enhance modelaccuracy - Stay up-to-date with the latest ML research and applynew techniques as appropriate Technical Skills Required: - Strongproficiency in Python and ML frameworks such as PyTorch orTensorFlow - Experience with cloud platforms (AWS, GCP, or Azure)and containerisation (Docker, Kubernetes) - Solid understanding ofstatistical concepts and machine learning algorithms - Familiaritywith NLP and deep learning techniques - Experience with big datatechnologies like Spark or Hadoop Nice to Have: - Experience withMLOps practices and tools - Knowledge of distributed computing andmodel serving at scale - Background in computer vision orreinforcement learning Qualifications: - MSc or PhD in ComputerScience, Machine Learning, or related field - 3+ years ofprofessional experience in machine learning engineering - Strongproblem-solving skills and attention to detail - Excellentcommunication and collaboration abilities Compensation: -Competitive salary range: £75,000 - £95,000 per annum, depending onexperience - Generous equity package - Comprehensive benefitsincluding health insurance and pension plan This is an excellentopportunity to work on challenging problems in AI and make asignificant impact in the field. If you're passionate about machinelearning and want to be part of a fast-growing, innovative team,please send me a direct message with your CV and a briefintroduction. Alternatively, you can apply directly through thispost. We look forward to hearing from you!