AI Engineer

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Envitia

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51 - 200 employees

Envitia is a data software and services company that solves complex data challenges.

📋 Description

• Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes • Build scalable, reusable AI products, accelerators and solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency • Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements • Implement and continuously improve MLOps practices, including model deployment, monitoring, governance, retraining and lifecycle management, to ensure reliable production operation of AI systems • Engineer features, datasets and data pipelines across structured and unstructured data sources, working closely with data engineers and analysts to deliver actionable insights • Apply responsible AI principles, ensuring fairness, transparency, explainability, security and compliance throughout the AI solution lifecycle • Collaborate with consultants, technical specialists and client stakeholders to understand operational challenges and translate them into practical, value-driven AI solutions • Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership activities that showcase Envitia's AI capabilities and support business growth • Stay current with emerging AI technologies, frameworks and best practices, identifying opportunities to enhance Envitia's capabilities and client offerings • Support knowledge sharing, mentoring and capability development across the AI team, wider Consulting function and AI Community of Practice

🎯 Requirements

• Strong Python programming and hands-on experience with core ML/AI libraries (for example scikit-learn, TensorFlow, PyTorch) • Practical experience developing, training and evaluating machine learning, NLP and predictive models • Experience deploying AI/ML in the cloud, particularly Microsoft Azure (Azure AI/ML, Azure AI Foundry / Azure OpenAI) • Working knowledge of Generative AI / large language models and prompt engineering applied to practical use cases • Understanding of MLOps practices for model deployment, monitoring and lifecycle management • Solid data engineering skills across structured and unstructured data, with awareness of responsible AI, data governance and security; strong communication skills for technical and non-technical audiences • Experience in a consulting or client-facing delivery environment (desirable) • Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma) (desirable) • Experience working with geospatial data (desirable) • Experience delivering within the UK public sector, Defence or National Security (desirable) • Exposure to Databricks and/or Snowflake (desirable) • A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience (desirable)

🏖️ Benefits

• Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days • Private Healthcare: Comprehensive coverage with additional options for family members • Training & Skills Development: Ongoing learning opportunities to help you advance your career • Fitness Reimbursement: Support for gym memberships or fitness-related expenses • Life Assurance: Extensive life insurance coverage for peace of mind • Pension Contribution: Competitive options to help you plan for a secure financial future • Perkbox Subscription: Discounts on a wide range of products and services • Flexible Work Arrangements: Designed to support work-life balance and personal commitments • Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements • Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs