AI​/ML Senior Consultant

Envitia is a UK-based data and digital consultancy, delivering high-impact transformation services that help organisations unlock the full value of their data. With over 30 years of experience, we combine deep technical expertise with a strong consulting approach, working in close partnership with our clients to solve complex, mission-critical challenges and deliver measurable business outcomes.

Our consulting teams operate at the heart of some of the UK’s most critical programmes, partnering with Central Government, Defence, and National Security organisations. We act as trusted advisors—shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI.

At Envitia, consulting is about more than delivery, it’s about influence, impact, and long-term partnership. You’ll be part of a growing, collaborative consulting practice that is focused on delivering real value, building enduring client relationships, and shaping the future of data-driven decision‑making in complex environments.

We’re also proud to have been named one of The Sunday Times Top 100 Medium‑Sized Companies, a reflection of our commitment to innovation, collaboration, and creating an environment where our people can thrive.

Envitia is looking for an AI Engineer to join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security / Intelligence unlock greater value from their data. Your work will transform complex information into trusted insights, decision‑support tools and operational advantage.

This is a hands‑on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting‑edge Generative AI applications. You will develop production‑ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators, and help shape innovative proof‑of‑concepts and client proposals that showcase Envitia's AI expertise.

Working within multidisciplinary teams, you will collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants, supported by a developing AI Community of Practice.

Typical engagements include:

• Designing, developing and deploying machine learning and AI solutions to solve complex operational challenges.
• Developing scalable data pipelines and AI services that transform structured and unstructured data into actionable insights.
• Implementing MLOps practices to support model deployment, monitoring, governance and continuous improvement.
• Applying Natural Language Processing (NLP), predictive analytics and decision‑support techniques to mission‑critical use cases.
• Developing API‑driven AI services and integrating AI capabilities into enterprise and operational systems.
• Delivering cloud‑native and containerised AI solutions within secure environments.
• Working with clients to identify opportunities for AI adoption and translate business challenges into practical technical solutions.

• 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…