Senior AI Consultant
Coeo
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What AI roles keep asking for: Python (43%), LLMs (39%), AWS (26%), Machine learning (24%), Generative AI (23%), Observability (19%), GCP (16%), Azure (16%) — counted across their open postings here.
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Preparing for this interview
Interviews for AI roles keep coming back to Python, LLMs, AWS, Machine learning. Practise those questions before you sit with Coeo.
Questions you are likely to be asked
- Why do you want to join Coeo?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Senior AI Consultant at Coeo interview free →Job Title: Senior Consultant (AI & Innovation)
Location: Reading, UK (Hybrid)
Company: Coeo Ltd
Please Note: You must have a UK passport or be able to live and work in the UK without employer sponsorship.
Coeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team have deep technical and commercial experience working with Microsoft Data and AI Services to help our clients optimize their costs and maximize the benefits from their investments in these technologies.
Coeo has a strong emphasis on consulting skills, and we expect our team members to be customer facing and have a growth mind-set. This role sits within our consulting team, and we have clear expectations that our team members understand the importance of personal utilization and can spot opportunities within our clients that can be passed back to our business development team.
Coeo has been established for over 18 years and has exclusively focused on Microsoft technologies. Our mission is to “help our clients predict their future” through the better use of data, technology, people and processes. To do this our business has always focused on:
- Managed Services
- Database Consultancy
- Data Engineering, Analytics and AI Consultancy
- Adoption and Change Management
This role sits within our AI & Innovation team, focused on designing and delivering Generative AI solutions using large language models (LLMs) on Microsoft Azure. As a Senior Consultant, you’ll lead client engagements across GenAI experimentation and production use cases - shaping architectures, building intelligent applications, and ensuring solutions are secure, scalable, and deliver real business value.
There has never been a more exciting time to join us, we’re a fast-growing professional services and managed services business. Due to consistent growth, it is enabling us to expand out our project management and delivery teams.
There will be at times, a requirement to travel, visiting client sites across the UK and occasionally abroad, with nights away from home.
Key Responsibilities
- Development and delivery of analytics projects.
- Understanding and shaping project scope to deliver on time and within budget and be capable of raising risks and issues to the Coeo team where required.
- Working with the Sales team and PMO to identify new opportunities for client engagement and supporting the commercial engagement.
- Delivering technical solution designs and architectures to meet client requirements.
- Effectively gather client requirements using 1 to 1 interviews and workshops to ask clarifying questions when needed.
- Recommend the optimal solution and approach to analytics architecture to deliver the client requirements.
- Ability to understand and articulate the importance of change management, user training, adoption & support.
- Set high standards for self on adhering to information and security practices and processes to protect personal data and maintain the integrity of Coeo and its customer.
- Strong documentation and writing skills.
Technical Skills
You’ll need to have experience with some of the following and be able to learn new technologies or concepts quickly:
- Python / PySpark - Experience using Python and PySpark to connect to APIs and extract data, with strong API design skills and familiarity with LLM orchestration frameworks such as Lang Graph and Microsoft Agent Framework.
- Data Engineering - Ability to work with unstructured data and build reliable data and development pipelines.
- Vector Databases & Services - Hands-on experience using vector databases and retrieval‑augmented generation (RAG) to store and retrieve data for LLMs.
- Skills Development for LLM Models - Understanding of selected LLM technologies and the ability to create and maintain the supporting skills files and MCP servers required.
- Understanding of Linux - Good working knowledge of Linux, with Docker experience an advantage due to toolchain dependencies.
- Prompt Design and Context Engineering - Strong skills in designing prompts and engineering the right context to optimize LLM outputs.
- Evaluation and Testing - Experience creating test cases and test harnesses for LLM solutions to enable repeatable outcomes where possible.
- Architectural Guidance - Capability to challenge designs, guide architecture decisions, and drive innovative solutions.
- Model Management, Outcome Drift, Continual Improvement - Experience managing models in production, monitoring performance, and driving ongoing improvement.
Project Delivery Experience
You’ll likely have experience delivering projects to external users:
- At least 3-5 years of experience in working with Microsoft data technologies.
- At least 5 years Professional Services experience in client facing environments.
- Strong understanding of AI, LLM and Data Engineering concepts.
- Excellent stakeholder management and communication skills, including prioritizing, problem solving and relationship building.
- Ability to understand and articulate requirements to technical and non-technical audiences.
- Experience delivering in an agile project delivery environment.
Benefits and Perks
- We have a lovely office in Thames Valley Park, Reading, including a free gym on site and expect our staff to attend at least once per month.
- Competitive salary and a performance-based bonus scheme.
- Comprehensive Benefits Package (Income Protection, Enhanced Pension Scheme (Salary Sacrifice), Life Assurance and Private Medical Care).
- 25 days holiday (increased to 28 after 5 years).
- Hybrid working.
- Opportunities for professional development and career growth.
- The chance to make a real impact as part of a growing organization.
- Very friendly, inclusive culture, family-feel and strong camaraderie.
- Up-to-date technology, so collaboration has never been easier.
- Company growth and new projects mean ongoing career progression options.
- Cutting edge technology projects – exciting goals ahead!
Click Apply or visit our Careers page at www.coeo.com
You can also send your CV -----
Visit Coeo on LinkedIn, Facebook and Twitter and read what our colleagues say about working at Coeo on www.glassdoor.co.uk
Diversity and Inclusion
Coeo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and strive to ensure that everyone feels valued, respected, and supported. If you require any adjustments or additional support during the interview process, please let us know, and we will be happy to accommodate your needs.
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Listed on arbeitnow · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Coeo, not by us.