Current jobs related to Data Platform Engineer/ML Ops - London Area - Deep Medical

  • ML Ops Engineer

    1 day ago

    London Area, United Kingdom identifi Global Resources Full time

    ML Ops Engineer 12 Month Contract Day rate £400 per day, inside ir35 Hybrid – mainly home working, occasional London visit (Full project scope available) Working on two significant London authority projects - Road User Charging, which includes. The Congestion Charge (CC) The Low Emission Zone (LEZ) The Ultra-Low Emission Zone (ULEZ) And...

  • ML Ops Engineer

    1 week ago

    London Area, United Kingdom identifi Global Resources Full time

    ML Ops Engineer12 Month Contract Day rate £400 per day, inside ir35 Hybrid – mainly home working, occasional London visit(Full project scope available) Working on two significant London authority projects - Road User Charging, which includes. The Congestion Charge (CC) The Low Emission Zone (LEZ) The Ultra-Low Emission Zone (ULEZ) And Automatic Number...

  • ML Ops Engineer

    1 week ago

    London Area, United Kingdom identifi Global Resources Full time

    ML Ops Engineer12 Month Contract Day rate £400 per day, inside ir35 Hybrid – mainly home working, occasional London visit(Full project scope available) Working on two significant London authority projects - Road User Charging, which includes. The Congestion Charge (CC) The Low Emission Zone (LEZ) The Ultra-Low Emission Zone (ULEZ) And Automatic Number...

  • ML Ops Engineer

    2 weeks ago

    London, United Kingdom CV-Library Full time

    Role: Machine Learning Engineer Work Mode & Location: Hybrid (2 days in London office) Job Type: Contract (12 months) Role Overview: The ML Ops Engineer will support the development and deployment of machine learning models for a large-scale service provider in London. You will be responsible for developing, deploying, and maintaining these models....

  • ML Ops Engineer

    3 weeks ago

    London, United Kingdom Michael Page Technology Full time

    This is an exciting opportunity for a talented ML Ops Engineer who will be instrumental in advancing the analytical capabilities of a Financial Services firm based in London. Client Details The company is a large-scale player in theFinancial Servicesthe financial industry, with a robust team dedicated to Analytics. Based in London, the firm has a global...

  • ML Engineer for Data Science Platforms

    3 weeks ago

    London, Greater London, United Kingdom Harnham - Data & Analytics Recruitment Full time

    ML Engineer for Data Science PlatformsWe're partnering with an innovative client to find an experienced ML Engineer who has supported Data Science platforms for scalability.The Role:You will work closely with the data science team to understand their end-to-end development process and identify areas for improvement.Key responsibilities include:Designing and...

  • ML Engineer for Data Science Platforms

    3 weeks ago

    London, Greater London, United Kingdom Harnham - Data & Analytics Recruitment Full time

    ML Engineer for Data Science PlatformsWe're partnering with an innovative client to find an experienced ML Engineer who has supported Data Science platforms for scalability.The Role:You will work closely with the data science team to understand their end-to-end development process and identify areas for improvement.Key responsibilities include:Designing and...

  • ML Engineer

    2 weeks ago

    London, Greater London, United Kingdom Datatech Analytics Full time

    ML Ops Engineer - MS AzureAt Datatech Analytics, we are seeking a highly skilled ML Ops Engineer to join our team. As an ML Ops Engineer, you will play a vital role in delivering operational, scalable data and AI solutions, providing technical guidance across various projects.Key Responsibilities:Design, implement, and maintain the ML platform and...

  • ML Engineer

    2 weeks ago

    London, Greater London, United Kingdom Datatech Analytics Full time

    ML Ops Engineer - MS AzureAt Datatech Analytics, we are seeking a highly skilled ML Ops Engineer to join our team. As an ML Ops Engineer, you will play a vital role in delivering operational, scalable data and AI solutions, providing technical guidance across various projects.Key Responsibilities:Design, implement, and maintain the ML platform and...

  • ML Ops Engineer

    1 week ago

    London, United Kingdom identifi Global Resources Full time €400

    ML Ops Engineer 12 Month Contract Day rate £400 per day, inside ir35 Hybrid – mainly home working, occasional London visit (Full project scope available) Working on two significant London authority projects - Road User Charging, which includes. The Congestion Charge (CC) The Low Emission Zone (LEZ) The Ultra-Low Emission Zone (ULEZ) And Automatic...

  • ML Ops Engineer

    1 week ago

    London, United Kingdom identifi Global Resources Full time €400

    ML Ops Engineer 12 Month Contract Day rate £400 per day, inside ir35 Hybrid – mainly home working, occasional London visit (Full project scope available) Working on two significant London authority projects - Road User Charging, which includes. The Congestion Charge (CC) The Low Emission Zone (LEZ) The Ultra-Low Emission Zone (ULEZ) And Automatic...

  • ML Ops Engineer

    5 days ago

    London, United Kingdom identifi Global Resources Full time

    ML Ops Engineer12 Month Contract Day rate £400 per day, inside ir35 Hybrid – mainly home working, occasional London visit(Full project scope available) Working on two significant London authority projects - Road User Charging, which includes. The Congestion Charge (CC) The Low Emission Zone (LEZ) The Ultra-Low Emission Zone (ULEZ) And Automatic Number...

  • ML Ops Engineer

    1 day ago

    London Area, United Kingdom Methods Full time

    Daily rate: £490 inside IR35 Duration: 12 months + possible extension Location : Hybrid; 2day/w in London office Knowledge: Proven experience as a machine learning engineer, data scientist, or a similar role. A comprehensive grasp of machine learning methodologies and principles, encompassing supervised and unsupervised learning, deep learning, and...

  • ML Ops Engineer

    6 days ago

    London Area, United Kingdom Methods Full time

    Daily rate: £490 inside IR35Duration: 12 months + possible extensionLocation: Hybrid; 2day/w in London officeKnowledge:Proven experience as a machine learning engineer, data scientist, or a similar role.A comprehensive grasp of machine learning methodologies and principles, encompassing supervised and unsupervised learning, deep learning, and reinforcement...

  • ML Ops Engineer

    7 days ago

    London Area, United Kingdom Methods Full time

    Daily rate: £490 inside IR35Duration: 12 months + possible extensionLocation: Hybrid; 2day/w in London officeKnowledge:Proven experience as a machine learning engineer, data scientist, or a similar role.A comprehensive grasp of machine learning methodologies and principles, encompassing supervised and unsupervised learning, deep learning, and reinforcement...

  • AWS Cloud Engineer

    1 week ago

    London, Greater London, United Kingdom Carbon Re Full time

    About the RoleWe're seeking a senior data engineer to join our platform team, responsible for our customer-facing application, cloud environment, and data ingestion and preparation. As a key member of our team, you'll have the opportunity to work on customer-facing systems, design and improve our data ingestion and ML-Ops pipelines, and collaborate with our...

  • ML Platform Engineer

    2 days ago

    London, United Kingdom Tag Full time

    ML Platform EngineerLocation: Poland Street, London(2 days minimum in office)Why choose Tag?We are the long-standing, production partner of choice that has helped brands across borders and cultures for over half a century achieve their business goals. With 2,700 experts in 29 countries across the world, we are a global team of collaborators, innovators, and...

  • ML Platform Engineer

    2 days ago

    London,, UK, United Kingdom Tag Full time

    ML Platform EngineerLocation: Poland Street, London(2 days minimum in office)Why choose Tag?We are the long-standing, production partner of choice that has helped brands across borders and cultures for over half a century achieve their business goals. With 2,700 experts in 29 countries across the world, we are a global team of collaborators, innovators, and...

  • ML Platform Engineer

    19 hours ago

    london, United Kingdom Tag Full time

    ML Platform Engineer Location: Poland Street, London (2 days minimum in office) Why choose Tag? We are the long-standing, production partner of choice that has helped brands across borders and cultures for over half a century achieve their business goals. With 2,700 experts in 29 countries across the world, we are a global team of collaborators,...

  • ML Engineer for Data Science Platforms

    3 weeks ago

    London, Greater London, United Kingdom Harnham - Data & Analytics Recruitment Full time

    Job Title: MLOps Infrastructure Engineer ContractWe're partnering with an innovative client to find an experienced MLops Engineer who has supported Data Science platforms for scalability.The RoleYou will work closely with the data science team to understand their end-to-end development process and identify areas for improvement.Key responsibilities...

Data Platform Engineer/ML Ops

2 months ago

London Area, United Kingdom Deep Medical Full time

Job title: Data Platform Engineer, MLOps


About Deep Medical:

Deep Medical is a pioneering medical technology company dedicated to leveraging artificial intelligence and machine learning to enhance healthcare delivery. Our mission is to develop innovative solutions that improve patient outcomes, streamline clinical workflows, and optimise resource utilisation within the healthcare system. Our technologies are extremely high impact and have the potential to save hundreds of thousands of lives by ensuring patients access the life-saving care they need and reducing health inequalities.


Position Overview:

As a data platform engineer, MLOps, you will be critical in supporting and enhancing our technology infrastructure, specifically focused on deploying machine learning (ML) services, managing large-scale PostgreSQL databases, and leveraging the extensive capabilities of AWS. You will work across the ML and Platform teams to ensure seamless integration of ML models into production environments, optimising performance, scalability, and reliability.


Responsibilities:

  • Design, deploy, and manage scalable, high-availability systems on AWS, including data warehousing, data lakes, and large PostgreSQL databases for feature storage and retrieval.
  • Use Pandas or Spark to manipulate and process large datasets
  • Implement and maintain FastAPI endpoints to serve as tools and interfaces for internal services.
  • Identity opportunities to improve the ML model lifecycles by using tools that improve model experimentation.
  • Implement strong testing and CI/CD practices to ensure reliable and confident ML service development and deployment.
  • Collaborate with platform engineers, ML engineers, and interdisciplinary teams to translate research into production-ready solutions.
  • Ensure compliance with data privacy regulations, cloud security best practices, and provide technical guidance and support to the team.


Must haves:

  • 3+ years of hands-on experience with AWS services (e.g., EC2, RDS, S3, SageMaker, Lambda) and AWS data warehousing and data lake solutions.
  • 3+ years of hands-on experience with large relational databases
  • 5+ Experience with Python API frameworks (e.g., FastAPI, Django, Flask) for developing RESTful services and Python modules such as Pandas or Spark.
  • AWS certifications such as AWS Solutions Architect or AWS DevOps Engineer.


Requirements:

  • Master’s or Ph.D. in Computer Science, Electrical Engineering, Statistics, or a related field.
  • Experience with container orchestration technologies such as Docker.
  • Familiarity with CI/CD pipelines and automation tools like GitLab.
  • Proven expertise in deploying and managing machine learning models in production environments, using MLOps tools like MLFlow, TensorBoard, or Weights & Biases.
  • Solid understanding of cloud security practices, data protection strategies, and cloud computing platforms, particularly AWS.
  • Proficiency in Python and experience with libraries such as PyTorch and scikit-learn; experience with TensorFlow is a plus.
  • Demonstrated ability to lead projects from conception to delivery, with a focus on innovation, impact, and collaboration within multidisciplinary teams.