AVEVA

Senior AI Research Engineer

AVEVA

full-time

Posted on:

Location Type: Hybrid

Location: Cambridge • United Kingdom

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Job Level

Senior

Tech Stack

Distributed SystemsPythonPyTorchTensorflow

About the role

  • Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability
  • Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments
  • Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets
  • Assess AI approaches for scalability, reliability, cost, security, and operational feasibility
  • Make and document engineering and architectural decisions related to model deployment and integration
  • Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products
  • Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders
  • Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments

Requirements

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure
  • 3+ years of hands-on experience building, training, evaluating, and deploying ML models
  • Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace)
  • Solid understanding of AI/ML deployment patterns, including: Batch and real-time inference, Model APIs and pipelines, Integration into distributed systems
  • Practical experience with modern AI paradigms, such as: Foundation models / LLMs, Agent-based systems and orchestration, Context retrieval and augmentation techniques
  • Demonstrated ability to lead technical investigations and drive them to concrete outcomes
  • Ability to connect AI capabilities to practical industrial or enterprise use cases
Benefits
  • Flexible benefits fund
  • Emergency leave days
  • Adoption leave
  • 28 days annual leave (plus bank holidays)
  • Pension
  • Life cover
  • Private medical insurance
  • Parental leave
  • Education assistance program

Applicant Tracking System Keywords

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

Hard skills
AI technologiesML modelsPythonPyTorchTensorFlowHuggingFaceBatch inferenceReal-time inferenceModel APIsDistributed systems
Soft skills
collaborationdocumentationpresentationleadershiptechnical investigationproblem-solvingcommunicationdecision-makinganalytical thinkingactionable recommendations