Lead Data & AI Engineer, Technology Consulting in London

Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we’re trying to create the best engineering consultancy in the UK and would love for you to be part of the journey.

We draw on our reputation for outstanding delivery to allow our engineers to do the right thing for our clients, and not necessarily the easy thing. Innovation is in our DNA, and we encourage our engineers and consultants to work together to rethink conventional wisdom on how problems should be solved. Our engineers take a holistic approach that addresses technology, process, and structure to make a lasting impact.

At Credera, you will work on diverse client projects, such as building modern data platforms and services using DevOps practices, including large, distributed workloads, batch and streaming data pipelines as well as high-quality monitoring. Working with architects, technology consultants and client stakeholders, you will help customers make use of the data available to them while gaining exposure to different industries, networks and latest technologies.

This is a permanent role within our Data Function. At Credera, we operate a flexible hybrid working model. This requires 3 days per week working onsite - either at client site (as required) or in your local Credera office (London, Manchester, Leeds or Newcastle). We value collaboration and client impact, so our hybrid model is designed to strike a balance between flexibility, in-person connection, and delivering exceptional outcomes for our clients. To meet our client's needs, you will be security clearable.

We are seeking a talented and ambitious Data & AI Engineer to join our growing capability. In this role, you will be at the forefront of designing and building next-generation AI solutions for our diverse portfolio of clients. You will bridge the gap between data science and software engineering, working on cutting-edge projects that leverage Large Language Models (LLMs), foundation models, and classical machine learning techniques. This is a unique opportunity to solve complex business problems, drive innovation, and make an extraordinary impact in a dynamic and collaborative consulting environment.

• Design, build, and deploy robust, scalable, and end-to-end AI & Data solutions.
• Collaborate directly with clients to understand their challenges, identify opportunities, and translate business requirements into tangible AI or advanced analytics powered solutions.
• Engineer solutions using Large Language Models (LLMs) and other foundation models to build applications such as chatbots, semantic search, and content generation systems.
• Apply your expertise across the full project lifecycle, from initial data exploration and model development to productionisation and ongoing operational support.
• Work within multi-disciplinary teams of data scientists, software engineers, and business stakeholders to deliver high-quality outcomes.
• Champion innovation by staying abreast of the latest advancements in AI and actively seeking opportunities to apply new tools and techniques.

• Strong Technical Foundations: Proficiency in Python for AI/ML development and a solid command of SQL for data querying and manipulation.
• Proven AI Delivery Experience: Demonstrable experience delivering production-grade AI solutions, from conception to deployment.
• Modern AI Expertise: Hands-on experience working with LLMs and other foundation models (e.g., using APIs from OpenAI, Cohere, or working with open-source models like Llama).
• Cloud Proficiency: Practical experience with at least one major cloud provider (AWS, GCP, Azure), including their AI & ML services (e.g., SageMaker, Vertex AI, Azure ML).
• Technical leadership Experience: Of small or large teams of engineers; and associated mentoring.
• Experience working with or on Modern Data Platforms; and associated data security & governance principles underpinning responsible use of AI & ML.

• Excellent problem-solving and analytical abilities, with a talent for navigating ambiguous environments.
• A proactive, self-starter mindset with a genuine passion for innovation and a drive to take ownership.
• An insatiable curiosity and a commitment to learning new skills in the rapidly evolving AI landscape.
• An advocate for the application of AI & ML who can support business development conversations on the topic.

While not essential, experience in the following areas will be highly regarded:

• LLM Frameworks: Familiarity with orchestration tools like LangChain.
• Advanced AI Systems: Experience with vector databases, and building Agentic AI systems.
• Core Data Science: Strong knowledge of Classical Machine Learning techniques (e.g., regression, classification, clustering) and Deep Learning concepts.
• ML Engineering: Understanding of MLOps principles, scripting with Bash, and Infrastructure as Code for Data, Analytics & AI services using tools like Terraform.
• Experience creating and/or maintaining production delivery pipelines: Using common CI/CD tools.

Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary (£80,000 - £99,000) and a comprehensive benefits plan. Our consistent growth and entrepreneurial environment provide an excellent platform to embark upon an exciting career path, where your contribution really counts.

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organisation that can scale due to our extensive footprint. As a values-led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community.