Overview
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work with top partners including Anthropic, Databricks, AWS, OpenAI, and Microsoft to deliver modern AI with speed and measurable impact.
We recognise “data” is broad, and we’re keen to speak to those from a data background and cloud-native experience with building software of high quality standards. As an outcome-based consulting business, we look for people who enjoy a consultative approach to solving problems in a holistic, end-to-end fashion. We have a highly talented, diverse team; from different backgrounds and experiences which we are keen for you to learn from and will want to learn from you.
Responsibilities
- You will be responsible for the technical implementation and delivery of modern data systems as well as AI-enabled applications
- Solve end-to-end data problems/opportunities at scale
- Contributing to solution architecture & design of complex systems
- Work with our customers to take them on a journey to success, bringing their data strategy to life
- Engage with your cross-functional squad during the implementation of end-to-end solutions
- Contribute to internal initiatives such as blogs, technical forums, and technology practices
- Drive your own development using the tools and support from Indicium AI to learn new skills
Requirements
(These are || not &&)
- Experience building end-to-end data-centric systems using modern data engineering techniques (e.g. distributed systems, data streaming, event-based architectures)
- Software development experience with one or more languages (e.g. Python, Java, C#)
- Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production
- Worked with one or more cloud platforms and services (AWS, Azure, GCP)
- Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT), data storage (e.g. Snowflake, Redshift), and IaC (e.g. Terraform, CloudFormation)
- Pragmatic approach to solving problems
Nice to have
- Keen interest in modern AI/ML techniques
- Experience in a consultancy or client-facing role
- Certifications in relevant technologies (e.g. AWS Cloud Practitioner, Azure Fundamentals)
Why Indicium AI
- Plentiful opportunity and support for learning & development; £2k annual training budget with 5 study days, access to Udemy, external consulting & leadership skills training
- Fast-growing startup organisation with huge opportunity for career growth
- Competitive salary package along with company annual bonus
- A collaborative working environment where every person’s viewpoint is considered
- Strong engineering community with forums, Lunch & Learns, internal technology practices, and external meet-ups
- Financially backed business providing security and support for new initiatives and global expansion
- Choose your gear – Macbooks, PCs, and accessories
- Discretionary company and personal bonus paid quarterly
- Pension scheme
For consideration, please apply with a current resume and any relevant links. This description reflects the role and its requirements at Indicium AI at the time of posting.