ML Engineer

3 weeks ago

London, United Kingdom DXC Technology Full time

ML EngineerErskine, Scotland or Newcastle, UKLocation: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilledMachine Learning Engineerto join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries.Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions.Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT.Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines.Work with large-scale data using PySpark and integrate models into production environments.Monitor model performance and retrain as needed to ensure accuracy and efficiency.Collaborate with cross-functional teams to integrate AI solutions into scalable productsEnsure best practices in data engineering and contribute to architectural decisionsContribute to the mentoring and development of junior team members.Support senior team members in identifying and addressing data science opportunities.Required Skills & Experience Strong proficiency in Python and ML libraries such as:pandas, NumPy, scikit-learnXGBoost, LightGBM, CatBoostTensorFlow, Keras, PyTorchExperience with model deployment and serving tools:ONNX, TensorRT, TensorFlow Serving, TorchServeFamiliarity with ML lifecycle tools:MLflow, Kubeflow, Azure ML PipelinesExperience working with distributed data processing using PySpark.Solid understanding of software engineering principles and version control (e.g., Git).Excellent problem-solving skills and ability to work independently or in a team.Strong proficiency in Python and ML libraries such as:pandas, NumPy, scikit-learnXGBoost, LightGBM, CatBoostTensorFlow, Keras, PyTorchExperience with model deployment and serving tools:ONNX, TensorRT, TensorFlow Serving, TorchServeFamiliarity with ML lifecycle tools:MLflow, Kubeflow, Azure ML PipelinesExperience working with distributed data processing using PySpark.Solid understanding of software engineering principles and version control (e.g., Git).Excellent problem-solving skills and ability to work independently or in a team.Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role.Proficiencies in data cleansing, exploratory data analysis, and data visualizationContinuous learner that stays abreast with industry knowledge and technologyWhy Join Us? Work on impactful AI projects with real-world applicationsBe part of a collaborative and forward-thinking teamAccess to continuous learning and development opportunitiesFlexible working arrangements and a supportive work cultureReady to shape the future of AI? Apply now and bring your expertise to a team that values innovation, creativity, and excellence.TPBN1_UKTJ

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