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Envitia
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.
The Role
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.
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Responsibilities
- 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.
Experience Required
Essential
- 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.
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Desirable
- Experience in a consulting or client-facing delivery environment.
- Exposure to data visualisation (Power BI, Tableau) and rapid front-end prototyping (Streamlit, Flask, Django, Figma).
- Experience working with geospatial data.
- Experience delivering within the UK public sector, Defence or National Security.
- Exposure to Databricks and/or Snowflake.
- A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience.
Security Clearance Requirements
The successful candidate must be eligible to obtain and maintain a SC level security clearance.
Location
The role will require travel to our Horsham offices 2 days a month as well as travel to customer sites in the UK when required.
What it's like to work at Envitia
At Envitia, we believe that our greatest asset is our people. We’re committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including:
- 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
Inclusion at Envitia
At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered.
We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance.
If you require any accommodations during the application or interview process, please let us know.
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