At a Glance
- Tasks: Design and deploy innovative AI solutions for public sector clients.
- Company: Join Envitia, a leading UK data consultancy with a collaborative culture.
- Benefits: Enjoy 25 days annual leave, private healthcare, and flexible work arrangements.
- Other info: Be part of a diverse team committed to inclusion and professional growth.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Strong Python skills and experience in machine learning and AI technologies.
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.
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.
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.
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
- 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.
- 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.
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.
AI Engineer in Horsham employer: Envitia
Envitia is an excellent employer for those looking to make a meaningful impact in the realm of secure cloud solutions. With a strong emphasis on employee growth, flexible work arrangements, and a comprehensive benefits package, you will thrive in a collaborative and agile environment that values innovation and compliance. Join us in delivering scalable digital services that support governmental and client missions while advancing your career in cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Horsham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Envitia!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer at Envitia.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Envitia.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer at Envitia, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Engineer in Horsham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Envitia, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Envitia. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Envitia
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Envitia!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
