7 of 7 Permanent Machine Learning Jobs in Abingdon

anomaly detection, runbook automation, incident triage, and RCA summarization. Implement RAG (Retrieval‐Augmented Generation) pipelines over operational knowledge bases and runbooks. Integrate AI/ML models into SRE observability tools like New Relic and automation workflows, including monitoring, alerting, and self‐healing. Build and maintain RESTful and async APIs using … driven infrastructure automation using Terraform, Ansible, and Jenkins. Enforce engineering best practices, including code reviews, unit testing, and CI/CD pipelines for both ML and application code. Evaluate and introduce emerging AI frameworks and LLM providers, including OpenAI, Azure OpenAI, Bedrock, LangChain, and LlamaIndex. Maintain Kubernetes‐deployed AI workloads ...

schematics Familiarity with networking or IT infrastructure Experience with Python or other backend/scripting languages Exposure to machine learning concepts or ML-enabled products Experience working in an early-stage, startup or deep-tech environment Optics/optical fibre handling Most importantly, we're looking for someone ...

timely, structured manner to technical and non-technical stakeholders. Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product. Required Qualifications 5+ years of professional software engineering building and shipping complex, production-grade applications — not solely scripting, prototyping, or research. ...

skillsSelf-Starter; willing to learn new technologies, ability to learn fast Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer ...

design, certification and project management, you will take products from requirements through to robust, evidence-backed sign-off. The team is advancing sensor technology, machine learning, IoT connectivity, integrated manufacturing and full-stack software solutions. The role Write clear, traceable test specifications, protocols and reports. Functional, environmental ...

Will Do Build, test, and ship features for products in active use by energy companies worldwide. Debug and fix defects in production systems, learning how large‐scale applications behave under real conditions. Write and maintain automated tests as part of the team’s standard delivery workflow. Participate in code … data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real‐time systems, large‐scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates from ...

with subsurface datasets (e.g., wireline, seismic, biostratigraphy, geochemistry, rock properties, lithology). Strong Python programming skills. Experience with Relational Databases. Familiarity of AI/ML and its potential to support geoscience interpretation. Experience with ETL pipelines and data cleaning. Excellent communication and teamwork skills in a collaborative R&D environment. … closely with colleagues from multiple disciplines to refine and enhance workflows – particularly supporting customer workflows and customer data types. Stay current with AI/ML technology and geoscience advancements to drive innovation. Contribute to customer presentations, particularly regarding customer data and their associated workflows. Desirable Experience Awareness of data analysis ...