At a Glance
- Tasks: Design and deploy AI applications using AWS, integrate APIs, and build intelligent systems.
- Company: Snap Analytics is a high-growth consultancy transforming data into actionable insights for enterprise clients.
- Benefits: Enjoy hybrid work, competitive salary, mentorship, and a culture of innovation and continuous learning.
- Other info: Join a diverse team dedicated to solving complex data challenges globally.
- Why this job: Shape the future of AI tools, collaborate with experts, and drive real business impact.
- Qualifications: Experience with AWS, API integration, Python, and a passion for scalable AI solutions required.
The predicted salary is between 60000 - 80000 £ per year.
Senior AI Consultant
Department: AI & Advanced Analytics
Employment Type: Full Time
Location: Bristol, UK
Reporting To: Mark Todkill
A few application tips
- Clear, specific examples of your leadership, client impact and technical delivery
- Relevant experience aligned with the seniority, consultancy focus and technical scope of the role
- A thoughtful response to any application questions
- A CV that highlights both what you did and why it mattered
Why this role exists
We are preparing for growth driven by upcoming projects with multiple key clients. While details are still being finalised, we know they will require senior AI talent with depth across traditional machine learning, data science and Gen AI. We are looking for someone who can operate quickly, lead confidently and build robust, production‑ready solutions.
We are proactively expanding our team with a Senior AI Consultant who can shape complex work, guide delivery teams and act as a trusted adviser to clients.
What you'll be doing…
You will shape and deliver AI solutions for real‑world business problems, spanning traditional machine learning, rigorous data science and practical Gen AI use cases. You will work with a small, highly capable AI team, collaborating with data engineers, consultants, technical leads and senior client stakeholders to deliver meaningful outcomes.
Your responsibilities will include:
- Leading the design, build and iteration of machine learning and data science models to solve complex business challenges
- Identifying and shaping Gen AI opportunities, including LLM‑based workflows, agentic systems and applied AI prototypes where they add measurable value
- Providing technical direction, code quality oversight and delivery guidance across shared repositories and client‑facing work
- Managing client stakeholders, presenting recommendations clearly and translating technical outputs into practical decisions and actions
In your first 3 to 6 months, success might look like:
- Taking ownership of ambiguous or novel technical challenges and setting a clear delivery approach for the team
- Delivering high‑quality traditional ML, data science and Gen AI solutions that align with client needs
- Communicating confidently with senior stakeholders about technical decisions, trade‑offs, risks and results
- Becoming a trusted partner to clients and colleagues within a lean, fast‑moving team that relies on autonomy, judgement and critical thinking
What you'll need to succeed…
We are looking for someone who brings a thoughtful mix of senior technical expertise, consultancy experience, client leadership, team management, rigour and communication strength.
You might be a great fit if you have:
- 5+ years of relevant experience delivering AI, ML or data science solutions end‑to‑end, ideally in a consulting environment
- Strong expertise in traditional machine learning and data science, including forecasting, segmentation, optimisation, classification or similar techniques
- Strong practical experience with Gen AI, including LLMs, RAG, agentic workflows, prompt evaluation, model selection or production implementation
- At least 3 years’ experience managing client relationships and leading, mentoring or managing a technical team
- A strong mathematics or quantitative background, with solid programming skills in Python, SQL and Snowflake
- Excellent communication skills, with the ability to explain complex concepts clearly and confidently to technical, non‑technical and senior client audiences
Nice‑to‑have:
- Experience shaping proposals, statements of work, roadmaps or discovery phases within a consultancy setting
- Experience building neural networks, transformers, LLM‑based architectures or production AI platforms
This role might not be the right fit if you’re looking for:
- A highly structured corporate environment with clearly defined processes, as we are lean, fast and self‑driven
- A fully remote role – regular in‑office collaboration in Bristol is required and highly valued by the team
- A role focused only on Gen AI; this position requires strong capability across both traditional machine learning and Gen AI
Senior AI Consultant in Bristol employer: Snap Analytics
At Snap Analytics, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Senior AI Consultant in Bristol, you will not only have the opportunity to lead cutting-edge AI projects but also benefit from continuous professional development and a supportive team environment. Our commitment to employee growth, coupled with the vibrant city of Bristol, makes us an exceptional employer for those seeking meaningful and rewarding careers in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Consultant in Bristol
✨Tip Number 1
Familiarise yourself with AWS services, especially Bedrock and Lambda. Understanding these tools will not only help you in interviews but also demonstrate your readiness to hit the ground running in the role.
✨Tip Number 2
Showcase your experience with API integrations, particularly with LLM providers like OpenAI. Be prepared to discuss specific projects where you've successfully connected APIs to enhance functionality.
✨Tip Number 3
Brush up on retrieval-augmented generation (RAG) frameworks and vector databases. Being able to articulate how these technologies work and their applications will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your problem-solving approach and how you've optimised AI behaviour over time. Real-world examples of diagnosing and mitigating issues in language models will be particularly impressive.
We think you need these skills to ace Senior AI Consultant in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in AI, cloud infrastructure, and Python programming. Use keywords from the job description to demonstrate that you meet the specific requirements for the Senior AI Consultant role.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for AI and your problem-solving mindset. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as designing AI applications or integrating APIs.
Showcase Technical Skills:In your application, emphasise your proficiency with AWS services, API development, and retrieval-augmented generation frameworks. Provide examples of how you've used these skills in previous roles to solve real-world problems.
Highlight Collaborative Experience:Since the role involves working closely with cross-functional teams, include examples of past collaborations. Discuss how you contributed to team projects and what you learned from those experiences to show your ability to work in a collaborative environment.
How to prepare for a job interview at Snap Analytics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS services, particularly Bedrock and Lambda. Highlight specific projects where you've designed scalable AI applications or integrated APIs, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving mindset. Prepare examples of how you've tackled challenges in AI development, especially regarding hallucinations in language models or optimising AI behaviour over time.
✨Emphasise Collaboration Experience
Since the role involves working closely with cross-functional teams, share experiences where you've collaborated with data scientists, product managers, or engineers. This will show your ability to work effectively in a team-oriented environment.
✨Prepare for Technical Questions
Brush up on retrieval-augmented generation frameworks and vector databases. Be ready to explain these concepts clearly, as well as your approach to writing clean, production-ready Python code, which is crucial for the role.
