Experience:

• Strong Python programming and hands-on experience with core ML/AI libraries
• Practical experience developing, training and evaluating machine learning, NLP and predictive models
• Experience deploying AI/ML in Microsoft Azure cloud
• Working knowledge of generative AI / large language models and prompt engineering
• Understanding of MLOps practices for model deployment, monitoring and lifecycle management
• Solid data engineering skills across structured and unstructured data
• Strong communication skills for technical and non-technical audiences

Qualification:

• Relevant degree in computer science, data science, AI/ML or related or equivalent practical experience

Responsibilities:

• Design, develop, train and deploy machine learning and AI models including NLP, computer vision and generative AI
• Build scalable, reusable AI products, accelerators and solution components
• Develop and integrate generative AI and LLM capabilities using Azure AI Foundry and Azure OpenAI
• Implement and improve MLOps practices including deployment, monitoring, governance and lifecycle management
• Engineer features, datasets and data pipelines across structured and unstructured data
• Apply responsible AI principles ensuring fairness, transparency, explainability, security and compliance
• Collaborate with consultants, technical specialists and client stakeholders to translate challenges into AI solutions
• Contribute to technical proposals, demonstrations, proof-of-concepts and thought leadership
• Stay current with emerging AI technologies and best practices
• Support knowledge sharing, mentoring and capability development within AI team and consulting function

Additional responsibilities:

• Work across a variety of client engagements from machine learning and predictive analytics to generative AI applications
• Develop production-ready AI solutions and contribute to evolution of MLOps capabilities and reusable accelerators
• Collaborate closely with data engineers, software engineers, analysts, visualisation specialists and consultants
• Identify opportunities for AI adoption and translate business challenges into practical technical solutions
• Deliver cloud-native and containerised AI solutions within secure environments
• Travel to Horsham offices 2 days a month and to customer sites in the UK when required
• Must be eligible to obtain and maintain SC level security clearance

Nice to have:

• Experience in consulting or client-facing delivery environment
• Exposure to data visualisation tools such as Power BI, Tableau
• Experience with rapid front-end prototyping tools like Streamlit, Flask, Django, Figma
• Experience working with geospatial data
• Experience delivering within UK public sector, defence or national security
• Exposure to Databricks and/or Snowflake

More skills:

PyTorch, Data Engineering, Microsoft Azure, API-driven AI services, Cloud-native AI solutions, Containerisation

Other:

• Annual leave: 25 days plus birthday off, with option to buy or sell up to five additional days
• Private healthcare with options for family members
• Ongoing training and skills development opportunities
• Fitness reimbursement for gym memberships or fitness expenses
• Life assurance coverage
• Competitive pension contribution options
• Perkbox subscription for discounts on products and services
• Flexible work arrangements to support work-life balance
• Internal reward schemes for recognition
• Community engagement and volunteering opportunities
• Inclusive and diverse work environment welcoming all backgrounds and abilities
• Support for accommodations during application or interview process