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We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Why consider joining our Digital & Data community? Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same. Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring. Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications.
Job Responsibility
Work to agile best practices and cross-functionally with multiple teams and stakeholders
Using technical skills to problem solve with clients, as well as working on internal projects
Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams
Hybrid working with the team on client site or in the office a minimum of two days per week
Hands-on with emerging technologies – exploring what works, what scales, and what’s next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic
Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs
Developing and testing agentic architectures through our own Genie Platform – enabling AI agents that reason, retrieve, and act across systems
Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith
Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP)
Constantly learning, testing, and sharing findings across our internal AI community
Requirements
Software engineers with a passion for AI – or data scientists who’ve embraced engineering
People who experiment, prototype, and explore emerging AI tools in their own time
Strong foundation in a language suited to AI system development and data workflows
Experience integrating models with APIs, data sources, or production systems
Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks
Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices
A collaborative mindset and willingness to share, learn, and teach
Understanding of prompt and context engineering and model evaluation
Solid grasp of distributed systems, microservices, and RESTful APIs
An understanding of LLMOps tools for managing GenAI workflows
What we offer
Health and lifestyle perks accompanying private healthcare for you and your family
25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
Generous company pension scheme
Opportunity to get involved with community and charity-based initiatives
Annual performance-based bonus
PA share ownership
Tax efficient benefits (cycle to work, give as you earn)