Machine Learning Engineer

DEKA Research & Development
Manchester
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: mastersSkills: ["Problem-solving","Communication","Collaboration","Attention to detail","Intrinsic drive"]

Design and implement scalable backend services and microservices that power data-intensive applications. Build and deploy production ML models across the full lifecycle—feature engineering, training, evaluation, deployment, and monitoring. Develop event-driven distributed pipelines using Apache Kafka and Apache Spark, and integrate ML with rule-based decision engines for real-time decisioning. Collaborate across engineering, data, and product to translate requirements into reliable systems, including AI/LLM-driven workflows.

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FursaFursa
DEKA Research & Development
DEKA Research & Development
2 days ago

Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Design and implement scalable backend services and microservices that power data-intensive applications. Build and deploy production ML models across the full lifecycle—feature engineering, training, evaluation, deployment, and monitoring. Develop event-driven distributed pipelines using Apache Kafka and Apache Spark, and integrate ML with rule-based decision engines for real-time decisioning. Collaborate across engineering, data, and product to translate requirements into reliable systems, including AI/LLM-driven workflows.
Location: Manchester
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement scalable backend services and microservices for data-intensive applications.
  • •Build and deploy production ML models end to end, including feature engineering, training, evaluation, deployment, and monitoring.
  • •Develop and maintain event-driven distributed pipelines using Apache Kafka and Apache Spark.
  • •Architect systems integrating ML models with rule-based decision engines for automated real-time decisioning.
  • •Collaborate across engineering, data, and product teams to translate requirements into reliable solutions and support AI/LLM workflows.

Key Requirements

  • •M.S. in Computer Science, AI, or a related field.
  • •6+ years in backend software engineering and distributed systems.
  • •Strong proficiency in Java (Spring Boot, Spring MVC, Hibernate) and Python.
  • •Hands-on experience building and deploying production ML models (PyTorch or equivalent).
  • •Experience with distributed systems/streaming technologies such as Apache Kafka, Apache Spark, and ZooKeeper.
Experience:6+ yearsBackend engineeringDistributed systemsStreaming dataMachine learning
Education:Master's in Computer Science, AI, or a related field
Skills:Problem-solvingCommunicationCollaborationAttention to detailIntrinsic drive
Tech Stack:JavaSpring BootSpring MVCHibernatePythonPyTorchApache KafkaApache SparkZooKeeperMicroservicesREST APIsSOAP APIsObject-oriented designOracleIBM Db2MSSQLMongoDBAWS

Company Brief

DEKA Research & Development
DEKA Research & Development is a private R&D and product development firm founded by Dean Kamen that designs and manufactures medical devices, mobility systems, energy and water solutions, and low-volume production prototypes for healthcare and industrial customers.
Industry: Medical Devices
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Manchester, United States
Founded: 1982
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