Machine Learning Engineer Devi Technologies

Job in Birmingham, West Midlands, B1, England, UK

Listing for: Devitechs

Full Time position
Listed on 2026-06-03

Job specializations:

IT/Tech
AI Engineer, Machine Learning/ ML Engineer

Salary/Wage Range or Industry Benchmark: 125000 - 150000 GBP Yearly GBP 125000.00 150000.00 YEAR

Define and design machine learning solutions using AI tools, managed services, and intelligent platforms without requiring direct model coding.
Identify business problems, operational challenges, and strategic objectives, mapping them to appropriate AI and machine learning use cases.
Utilize pre-built AI models, AutoML solutions, and no-code/low-code platforms to develop effective and scalable machine learning applications.
Evaluate model outputs, prediction accuracy, and overall performance using dashboards, reports, and AI monitoring metrics.
Collaborate with data scientists, engineers, business analysts, and stakeholders to guide machine learning development and deployment initiatives.
Select appropriate datasets and ensure data quality, relevance, completeness, and consistency for AI-driven applications.
Apply data labeling techniques, augmentation strategies, and model optimization processes through AI-powered tools and platforms.
Monitor deployed AI and machine learning systems, analyzing performance trends and recommending improvements or retraining activities.
Ensure ethical and responsible AI usage by promoting fairness, transparency, explainability, privacy, and bias mitigation practices.
Translate complex AI and machine learning concepts into clear, actionable business insights for non-technical stakeholders.
Support decision-making through predictive analytics, intelligent automation, and AI-driven recommendations that enhance business outcomes.
Research, evaluate, and recommend emerging AI tools, machine learning platforms, and industry innovations to support continuous improvement.
Assist in planning and managing AI deployments across cloud platforms such as "AWS", "Google Cloud Platform (GCP)", and "Microsoft Azure" using managed AI services.
Maintain comprehensive documentation of AI solutions, workflows, datasets, performance evaluations, and deployment processes.
Collaborate with cross-functional teams to ensure machine learning solutions align with business objectives, regulatory requirements, and organizational standards.

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