DLS Discovery, LLC

AI Engineer

DLS Discovery, LLC

full-time

Posted on:

Location Type: Remote

Location: United Kingdom

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Salary

💰 £50,000 - £65,000 per year

About the role

  • Develop high-quality code for seamless integration of Data Science tools and processes into the company's products and services.
  • Offer expert analysis and valuable insights to the product development team, contributing to the enhancement of our product offering.
  • Foster close collaboration with engineering teams to optimize the implementation and monitoring of solutions.
  • Conduct research, provide recommendations, and implement best practices in data science and data engineering.

Requirements

  • 3+ years developing production Python code with demonstrated proficiency in code review practices, unit testing (pytest, unittest), and maintaining codebases >10K lines
  • Strong CI/CD pipeline experience using Git, Azure DevOps/GitHub, Docker
  • Hands-on experience building and maintaining ML pipelines including ETL processes, data versioning and model deployment
  • Experience with modern ML frameworks: PyTorch or TensorFlow for model development, scikit-learn for classical ML
  • Working knowledge of LLM deployment patterns including prompt engineering, RAG (Retrieval-Augmented Generation) architectures, and fine-tuning approaches
  • Proficiency with NLP libraries: Hugging Face Transformers, spaCy, or LangChain
  • Experience managing datasets >1TB and implementing data quality validation frameworks
  • Cloud platform experience (Azure preferred) including compute, storage, and managed ML services
  • Familiarity with model quantization, optimization techniques (ONNX, TensorRT), and cost-efficient inference strategies
  • Experience leveraging AI Code Assistants/Agents like Claude Code
Benefits
  • 100% remote work
  • High-performance laptop computer
  • Options for wireless headset or external speaker
  • Up to two 24" 2K monitors
  • Mobile phone for business use
  • Life assurance
  • Private Medical Health Cover (currently with BUPA)
  • Group Income Protection
  • 25 days annual leave
  • Contributory pension after completion of three months’ service with an option to join the Workplace Pension
  • Flexible Benefits including Season Ticket Loans and Ride 2 Work.
  • Buy and sell up to 5 days of Holiday per year
  • Roll over 5 days of Holiday per year
  • Competitive salary (including bonuses and/or team incentives) and benefits package
  • Refer a friend, earn a bonus!
  • Career progression and training opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythoncode reviewunit testingCI/CDML pipelinesETL processesPyTorchTensorFlowscikit-learnNLP
Soft Skills
collaborationanalysisinsightsrecommendationsbest practices