Machine Learning

Machine Learning

Posted 2 days ago by Ampstek

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Negotiable
Undetermined
Hybrid
London Area, United Kingdom
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Agile Methodology Airflow Amazon Web Services (AWS) Apache Airflow Artificial Intelligence AWS SageMaker Cloud Computing Cloud Technology Code Review Computer Science Computer Vision Data Engineering Data Privacy Laws Data Science Deep Learning Design Elements And Principles DevOps Generic Programming Google Cloud Platform (GCP) Information Technology Lifecycle Management Machine Learning Management Market Trend Microservices Microsoft Azure Natural Language Processing NumPy Open Source Development Pandas (Python Package) Pattern Recognition Python (Programming Language) PyTorch (Machine Learning Library) Scalability Scikit-learn (Machine Learning Library) Software Design Software Development Software Engineering System Testing TensorFlow Web Services

Summary: The role of Software Engineer (AI/ML/Python) at Ampstek involves leading the design, development, and deployment of AI/ML solutions. Candidates should possess extensive experience in software engineering, particularly in AI/ML, and be proficient in Python and relevant frameworks. The position requires collaboration with cross-functional teams and mentoring junior engineers while ensuring adherence to best practices in AI. This is a hybrid role based in London, UK.

Key Responsibilities:

  • Lead the design, development, and deployment of AI/ML solutions using Python and modern machine learning frameworks.
  • Collaborate with cross-functional teams including product, data science, and DevOps to deliver high-quality software products.
  • Drive the architecture and technical decisions for AI-based systems, ensuring scalability, performance, and maintainability.
  • Mentor and guide junior engineers and contribute to team development through code reviews, technical sessions, and best practices.
  • Conduct research and stay up to date with the latest trends and advancements in AI/ML.
  • Optimize model training and inference pipelines for efficiency and performance.
  • Work on MLOps best practices to automate model lifecycle management and deployment.
  • Ensure data privacy, model fairness, and responsible AI practices are followed.

Key Skills:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 7+ years of software engineering experience with at least 3+ years in AI/ML-focused roles.
  • Proficient in Python and key libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
  • Strong experience with model training, evaluation, deployment, and monitoring.
  • Solid understanding of software design principles, cloud platforms (AWS, Azure, GCP), and microservices architecture.
  • Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Airflow).
  • Excellent problem-solving skills and the ability to communicate complex ideas clearly.
  • Experience working with large datasets, real-time data pipelines, and data engineering tools.
  • Knowledge of deep learning, NLP, or computer vision.
  • Experience leading agile teams and managing project timelines and deliverables.
  • Contributions to open-source AI/ML projects or publications in relevant fields.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: Mid-Senior level

Industry: IT

Detailed Description From Employer:

Greetings From Ampstek, Job Opening: Software Engineer (AI / ML / Python) (Lead) Location: London, UK Mode: Hybrid (3 Days Onsite) Interested candidates can drop their CV at:shrutika.b@ampstek.com

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 7+ years of software engineering experience with at least 3+ years in AI/ML-focused roles.
  • Proficient in Python and key libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
  • Strong experience with model training, evaluation, deployment, and monitoring.
  • Solid understanding of software design principles, cloud platforms (AWS, Azure, GCP), and microservices architecture.
  • Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Airflow).
  • Excellent problem-solving skills and the ability to communicate complex ideas clearly.

Preferred Qualifications:

  • Experience working with large datasets, real-time data pipelines, and data engineering tools.
  • Knowledge of deep learning, NLP, or computer vision.
  • Experience leading agile teams and managing project timelines and deliverables.
  • Contributions to open-source AI/ML projects or publications in relevant fields.

Key Responsibilities:

  • Lead the design, development, and deployment of AI/ML solutions using Python and modern machine learning frameworks.
  • Collaborate with cross-functional teams including product, data science, and DevOps to deliver high-quality software products.
  • Drive the architecture and technical decisions for AI-based systems, ensuring scalability, performance, and maintainability.
  • Mentor and guide junior engineers and contribute to team development through code reviews, technical sessions, and best practices.
  • Conduct research and stay up to date with the latest trends and advancements in AI/ML.
  • Optimize model training and inference pipelines for efficiency and performance.
  • Work on MLOps best practices to automate model lifecycle management and deployment.
  • Ensure data privacy, model fairness, and responsible AI practices are followed.

Seniority Level Mid-Senior level Industry IT System Testing and Evaluation Employment Type Contract Job Functions Information Technology Skills Machine Learning Artificial Intelligence (AI) Software Development Scikit-Learn Deep Learning Pattern Recognition Code Review Amazon Web Services (AWS) Python (Programming Language)

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