Senior AI engineer - UK Remote in Nationwide

Energy Jobline
Olathe, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 70K

Job location

Remote
Olathe, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
Continuous Integration
Relational Databases
Distributed Systems
Django
Graph Database
Interoperability
Python
PostgreSQL
Machine Learning
Standard Sql
SQL Databases
PyTorch
Flask
Large Language Models
Backend
GIT
FastAPI
Containerization
AI Platforms
Kubernetes
Infrastructure Automation Frameworks
Kafka
REST
Terraform
Service Stack
Databricks
Microservices

Job description

As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services.

You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud- environments., Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud- backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions

Requirements

Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL ) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills

Technology Stack

Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs

Benefits & conditions

Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function

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