At a Glance
- Tasks: Design and build innovative AI solutions while collaborating with diverse clients.
- Company: Join a fast-growing tech consultancy that values collaboration and innovation.
- Benefits: Competitive salary, flexible hybrid working, and excellent career growth opportunities.
- Why this job: Make a real impact by solving complex business problems with cutting-edge technology.
- Qualifications: Proficiency in Python, experience with AI solutions, and strong problem-solving skills.
- Other info: Dynamic environment with a focus on continuous learning and professional development.
The predicted salary is between 68000 - 83000 £ per year.
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.
Based out of any of our UK offices, 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.
What You’ll Do
- 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.
What You’ll Have
- 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.
Consulting & Soft Skills
- 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. We believe it is this approach that has allowed us to work with and transform the most influential brands and organisations in the world, from strategy through to execution.
Lead Data & AI Engineer, Technology Consulting employer: Credera
Contact Detail:
Credera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data & AI Engineer, Technology Consulting
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend tech meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and data solutions. This gives you a chance to demonstrate your expertise and passion for technology beyond just your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI and data engineering. Mock interviews with friends or mentors can help you feel more confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Credera and being part of our exciting journey.
We think you need these skills to ace Lead Data & AI Engineer, Technology Consulting
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI and data engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Show Your Passion: Let us know why you’re excited about this opportunity! Share your enthusiasm for technology and innovation in your application. We love candidates who are genuinely passionate about what they do.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that’s easy to read and gets straight to the point.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Credera
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills, as these are crucial for the role. Be prepared to discuss your experience with AI solutions, especially those involving Large Language Models and cloud services like AWS or Azure.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to share specific examples of how you've tackled complex problems in previous projects. Highlight your analytical abilities and how you've navigated ambiguous situations to deliver successful outcomes.
✨Demonstrate Your Collaborative Spirit
Since this role involves working closely with clients and multi-disciplinary teams, emphasise your teamwork experiences. Share stories that showcase your ability to communicate effectively and collaborate with others to achieve common goals.
✨Stay Curious and Innovative
Express your passion for learning and staying updated with the latest advancements in AI. Discuss any recent tools or techniques you've explored and how you envision applying them in real-world scenarios to drive innovation.