AI Engineer
Venesky-Brown’s client, a public sector organisation in Edinburgh / Glasgow, is currently looking to recruit an AI Engineer for an initial 12 month contract on a rate of £500/day (Outside IR35). This role will be a hybrid of working at home and in the office.
Responsibilities:
– Research and development of novel solutions that enable automation goals.
– Demonstrate excellent, sustainable, and collaborative software development practice that’s focused on delivering highly readable, maintainable, and appropriate artefacts.
– Extend and sustain the high-quality support procedures, dashboards, monitoring and deployment capabilities to ensure the team can continue to improve services via feedback.
– Actively participating in all team events, leading where specialist knowledge is required, and supporting the team to improve their process through inspection and adaptation.
– Engage with the wider communities of practice and interest to share knowledge, techniques, and experience.
– Ensure high quality of developed solutions through development and maintenance of unit tests – with appropriate code coverage – and code analysis using code quality tools.
– Ensure that developed software complies with non-functional requirements, such as accessibility, security, UI/UX, performance, maintainability, deployability, etc…
– Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service.
– Routinely use collaborative development practices such as pairing and mobbing techniques in programming, code reviews, system design and requirements analysis/refinement, etc.
– Coaching and mentoring other team members, as appropriate.
Essential Skills:
– OCR, Object Detection and LLM analysis
– Machine Learning & AI Libraries
– Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference
– PyTorch for deep learning model development and training
– OpenCV for computer vision tasks and image preprocessing in object detection
– PIL/Pillow for image manipulation and format conversion
– YOLO object detection frameworks, Core Python skills:
– Proficiency in Python 3.9+ with strong understanding of object-oriented programming, decorators, context managers, and async/await patterns
– Data structures and algorithms for efficient data processing and model optimization
– Error handling and debugging using try-catch blocks, logging, and debugging tools
– Data Processing
– Pandas and NumPy for data manipulation, cleaning, and numerical operations
– SQLAlchemy or psycopg2 for database connectivity and ORM operations
– Boto3 for comprehensive AWS service integration and automation
– AWS
– Lambda function development with proper event handling and response formatting
– S3 operations including multipart uploads, presigned URLs, and event notifications
– CloudWatch logging and metrics for monitoring and debugging
– IAM and security understanding for role-based access and credential management
– CDK
– SQS
– EKS/ECS/Kubernetes
– API Development
– FastAPI for building REST APIs and model serving endpoints
– Requests library for HTTP client operations and external API integration
– Authentication/authorization implementation (JWT, OAuth)
– Making excellent quality software with other people.
– Ability to engage with stakeholders, understanding context and requirements, from diverse areas of a business including Product Management, Service Design, and Operations.
– Design and implementation of solutions using a service-based and serverless architecture.
– Using written, verbal, and visual communication to explain complex topics concisely to both technical and non-technical audiences.
– Cloud monitoring, telemetry, intelligence tools and processes, including Grafana.
– Experience working in the Agile delivery models – such as Scrum and/or Kanban frameworks.
– Formal XP engineering techniques.
– Defining infrastructure-as-code.
Desirable Skills:
– TypeScript
– Apache Airflow / Dagster for workflow orchestration and ETL pipeline management
If you would like to hear more about this opportunity please get in touch.
Responsibilities:
– Research and development of novel solutions that enable automation goals.
– Demonstrate excellent, sustainable, and collaborative software development practice that’s focused on delivering highly readable, maintainable, and appropriate artefacts.
– Extend and sustain the high-quality support procedures, dashboards, monitoring and deployment capabilities to ensure the team can continue to improve services via feedback.
– Actively participating in all team events, leading where specialist knowledge is required, and supporting the team to improve their process through inspection and adaptation.
– Engage with the wider communities of practice and interest to share knowledge, techniques, and experience.
– Ensure high quality of developed solutions through development and maintenance of unit tests – with appropriate code coverage – and code analysis using code quality tools.
– Ensure that developed software complies with non-functional requirements, such as accessibility, security, UI/UX, performance, maintainability, deployability, etc…
– Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service.
– Routinely use collaborative development practices such as pairing and mobbing techniques in programming, code reviews, system design and requirements analysis/refinement, etc.
– Coaching and mentoring other team members, as appropriate.
Essential Skills:
– OCR, Object Detection and LLM analysis
– Machine Learning & AI Libraries
– Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference
– PyTorch for deep learning model development and training
– OpenCV for computer vision tasks and image preprocessing in object detection
– PIL/Pillow for image manipulation and format conversion
– YOLO object detection frameworks, Core Python skills:
– Proficiency in Python 3.9+ with strong understanding of object-oriented programming, decorators, context managers, and async/await patterns
– Data structures and algorithms for efficient data processing and model optimization
– Error handling and debugging using try-catch blocks, logging, and debugging tools
– Data Processing
– Pandas and NumPy for data manipulation, cleaning, and numerical operations
– SQLAlchemy or psycopg2 for database connectivity and ORM operations
– Boto3 for comprehensive AWS service integration and automation
– AWS
– Lambda function development with proper event handling and response formatting
– S3 operations including multipart uploads, presigned URLs, and event notifications
– CloudWatch logging and metrics for monitoring and debugging
– IAM and security understanding for role-based access and credential management
– CDK
– SQS
– EKS/ECS/Kubernetes
– API Development
– FastAPI for building REST APIs and model serving endpoints
– Requests library for HTTP client operations and external API integration
– Authentication/authorization implementation (JWT, OAuth)
– Making excellent quality software with other people.
– Ability to engage with stakeholders, understanding context and requirements, from diverse areas of a business including Product Management, Service Design, and Operations.
– Design and implementation of solutions using a service-based and serverless architecture.
– Using written, verbal, and visual communication to explain complex topics concisely to both technical and non-technical audiences.
– Cloud monitoring, telemetry, intelligence tools and processes, including Grafana.
– Experience working in the Agile delivery models – such as Scrum and/or Kanban frameworks.
– Formal XP engineering techniques.
– Defining infrastructure-as-code.
Desirable Skills:
– TypeScript
– Apache Airflow / Dagster for workflow orchestration and ETL pipeline management
If you would like to hear more about this opportunity please get in touch.
