At a Glance
- Tasks: Help businesses implement cutting-edge AI solutions and tackle complex challenges.
- Company: Join Advancing Analytics, a leader in innovative analytical solutions.
- Benefits: Enjoy competitive salary, flexible hours, and great health perks.
- Why this job: Make a real impact in the fast-evolving world of AI and ML.
- Qualifications: PhD in relevant field and experience with GenAI solutions required.
- Other info: Collaborative culture with strong focus on employee growth and well-being.
The predicted salary is between 60000 - 85000 ÂŁ per year.
Salary: ÂŁ70,000 - ÂŁ100,000 per annum (depending on experience). Up to 15% discretionary bonus.
Location: Remote – must be based within the UK. Occasional visits to see customers and the team.
Interview process: Two rounds. 1: Get to know you chat with the People Recruitment Manager; 2: Technical competency with the Hiring Lead and a Team Member.
Who Are We? Advancing Analytics are a market leader in delivering bleeding‑edge analytical solutions for customers all over the world. To thrive in today's market, businesses need to ride the wave of innovation, implementing the rapidly evolving AI and ML solutions available. We are looking to you to help them build them! On an average day working with us, you could be helping a customer implement a large language model, geared to solving complex and advanced business challenges. The next day you could be deploying an end‑to‑end ML pipeline to streamline and automate the AI offerings of some of the largest organisations in the world.
What skills do we want you to have?
- PhD in a relevant field, such as Machine Learning, Computer Science, Artificial Intelligence, Data Science, Mathematics, or a closely related discipline.
- Proven experience designing and deploying GenAI and agentic AI solutions using tools such as Databricks Mosaic AI Agent Framework, Azure AI Studio, and Azure OpenAI Service.
- Expertise in building production‑grade RAG pipelines, including chunking strategies, vector search, retrieval evaluation, and end‑to‑end optimisation.
- Hands‑on experience with Large Language Models (LLMs) in enterprise environments, including prompt engineering, fine‑tuning, guardrail implementation, and responsible AI practices.
- Ability to develop and deploy AI agents with tool use, memory, and multi‑step reasoning using frameworks like LangChain, LangGraph, Semantic Kernel, or CrewAI.
- Strong LLMOps and MLOps skills, including model evaluation, A/B testing, monitoring, and CI/CD for AI workflows (e.g., Databricks Asset Bundles, GitHub Actions, Azure DevOps).
- Proficiency in writing production‑quality Python, with the ability to support AI projects from initial prototype through to production deployment.
- Knowledge of AI governance and compliance, including responsible AI principles, bias testing, and maintaining audit trails suitable for regulated industries.
- Databricks ecosystem — Unity Catalog, Model Serving, Feature Engineering, Mosaic AI Gateway, Lakebase.
- Excellent communication skills, able to explain complex AI architectures to senior leaders while also collaborating deeply with engineering teams to troubleshoot technical issues.
Other tech and skills we like, but isn't essential:
- Experience with agent tooling, including MCP servers, Unity Catalog functions, and tool orchestration patterns.
- Familiarity with evaluation frameworks such as Mosaic AI Agent Evaluation, Garak, or custom‑built evaluation harnesses.
- Background in advanced machine learning, including deep learning with PyTorch, computer vision methods, NLP pipelines, or graph‑based data processing.
- Knowledge of cloud infrastructure and modern deployment practices, including Terraform, Bicep, Kubernetes, and serverless architectures.
- Exposure to red teaming and AI security, such as adversarial testing, prompt‑injection defence, and working with compliance frameworks (e.g., NIST AI 600‑1, EU AI Act).
- Understanding of Agile delivery methodologies, including Scrum and Kanban.
What will it be like to work for Advancing Analytics? We are a small company and encourage everyone to have a voice within our collaborative and inclusive team from day one. As a consultancy with strong partnerships with Microsoft, Databricks, AWS, Dataiku and Thoughtspot you will have access to the latest tech and training opportunities the industry has to offer. We are aware this is a rapidly changing market and are committed to investing in the long‑term goals of our employees. We love being engaged in the wider tech community and frequently present at events, sponsor events such as Big Data London, SQLBits and even organise the Global AI Bootcamp London.
Aside from offering a competitive salary, we have a great set of benefits and perks including, but not limited to:
- Industry matching Maternity & Paternity policy.
- Private Medical & Dental Care plus Eye care scheme.
- Health & Well‑being supplement.
- 25 Days Annual Leave, Birthday Leave & Charity Leave.
- Away days with the team.
- Flexible Working Hours.
- Electric Car Scheme.
Our company values define us:
- Advancing – Being part of a team that drives innovation and pushes the boundaries of what’s possible.
- Come as you are – we are an inclusive company.
- Zero burnout – We have seen it happen, and we never want to be a company that pushes our staff to the breaking point.
- We all level up together – we have each seen the benefit that being part of a community can have; it is transformational.
- Transparency – We are big believers that there are no secrets in Advancing Analytics, and we try to live this day to day.
Equal opportunities for everyone. At Advancing Analytics both diversity and inclusion are a priority. We are all committed to creating an inclusive environment where everyone feels valued, respected and empowered to be their authentic selves. We are proud to be an equal opportunity employer; all applicants will be considered without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity or disability status.
This role profile is intended to provide an overview of the responsibilities and qualifications required for the Senior AI Consultant role. It is not an exhaustive list and may be subject to change to meet the needs of the organisation.
Senior AI Consultant employer: Advancing Analytics Limited
Contact Detail:
Advancing Analytics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Consultant
✨Tip Number 1
Get to know the company before your interview! Dive into their values and recent projects. This will help you connect your skills to what they do, showing you're not just another candidate but someone who genuinely cares about their mission.
✨Tip Number 2
Practice makes perfect! Run through common interview questions with a mate or in front of the mirror. Focus on how your experience aligns with their needs, especially around AI solutions and teamwork. Confidence is key!
✨Tip Number 3
Don’t forget to prepare some questions for them! Ask about their latest projects or how they support employee growth. This shows you're interested and helps you gauge if they're the right fit for you too.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re proactive and keen to join the team at Advancing Analytics. Let’s get you that Senior AI Consultant role!
We think you need these skills to ace Senior AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Consultant role. Highlight your relevant experience with GenAI and agentic AI solutions, and don’t forget to showcase your hands-on work with Large Language Models. We want to see how you can bring your unique skills to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our values at Advancing Analytics. Be genuine and let us know what excites you about this opportunity.
Showcase Your Communication Skills: As a Senior AI Consultant, you'll need to explain complex concepts clearly. In your application, demonstrate your ability to communicate effectively, whether it's through your writing style or by including examples of past experiences where you’ve done this successfully.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Advancing Analytics!
How to prepare for a job interview at Advancing Analytics Limited
✨Know Your Stuff
Make sure you brush up on your technical skills, especially around GenAI and agentic AI solutions. Be ready to discuss your experience with tools like Databricks and Azure OpenAI Service, as well as your hands-on work with Large Language Models. The interviewers will want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Communication Skills
Since you'll be explaining complex AI architectures to senior leaders, practice articulating your thoughts clearly and concisely. Think about how you can break down intricate concepts into simpler terms. This will demonstrate your ability to collaborate effectively with both technical teams and non-technical stakeholders.
✨Align with Company Values
Familiarise yourself with Advancing Analytics' values: Advancing, Come as you are, Zero burnout, We all level up together, and Transparency. During your interview, weave these values into your responses to show that you're not just a fit for the role, but also for the company culture.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise during the second round of interviews. Brush up on your knowledge of LLMOps, MLOps, and production-grade RAG pipelines. Be prepared to discuss specific projects you've worked on and the challenges you faced, as this will help illustrate your problem-solving skills.