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Machine Learning Engineer

50372
  • Europe
  • Permanent

Kinetica has partnered with an innovator of genomics bioinformatics software company dedicated to advancing genomic research and personalized medicine. Our innovative solutions empower scientists and researchers with state-of-the-art tools to analyze and interpret genomics data.

Position Overview:

Our client is seeking a talented Machine Learning Engineer to join our dynamic team in Europe. The ideal candidate will have a strong background in machine learning, structural antibody knowledge, and proficiency in coding. As a Machine Learning Engineer, you will play a key role in developing and implementing machine learning algorithms for the analysis of genomics data, particularly focusing on structural antibody applications.

Responsibilities:

  • Collaborate with cross-functional teams to understand and define machine learning requirements for genomics bioinformatics software.
  • Design, implement, and optimize machine learning algorithms for the analysis of structural antibody data.
  • Develop and maintain robust and scalable code for genomics data processing and analysis.
  • Work closely with bioinformaticians and computational biologists to integrate machine-learning models into existing software platforms.
  • Stay current with advancements in machine learning, genomics, and structural antibody research to contribute to the continuous improvement of our solutions.
  • Collaborate with the software development team to deploy and integrate machine learning models into production environments.

Qualifications:

  • Master's or Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field.
  • Proven experience in machine learning with a focus on genomics and bioinformatics.
  • Strong understanding of structural antibody data and its applications in genomics research.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with genomics data analysis tools and software.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

Interested candidates are invited to submit their CVs.

Thomas Jones Head of Genomics & Proteomics

Apply for this role

  • info@kinetica.co.uk
  • +44 (0)113 261 71 81
  • Kinetica (UK) Ltd, Floor 13, Whitehall Waterfront, 2 Riverside Way, Leeds, LS1 4EH, UK