Senior AI Consultant

Senior AI Consultant

Full-Time 60000 - 85000 £ / year (est.) No home office possible
Advancing Analytics

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 comprehensive health benefits.
  • Other info: Collaborative culture with strong focus on diversity and inclusion.
  • Why this job: Make a real impact in the AI field while working with top-tier tech.
  • Qualifications: PhD in relevant field and experience with GenAI solutions required.

The predicted salary is between 60000 - 85000 £ per year.

Salary: £70,000 - £100,000 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.

Our Values: Advancing, Come as you are, Zero burnout, We all level up together and Transparency.

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.
  • 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.
  • Knowledge of the Databricks ecosystem, including 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.

Apart 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.
  • 25 Days Annual Leave, Birthday Leave & Charity Leave.
  • Away days with the team.
  • Flexible Working Hours.

Advancing – Being part of a team that drives innovation and pushing boundaries of what’s possible. Our work redefines industry standards and challenges the status quo in the data world every day.

Come as you are – we are an inclusive company. When you work with us, rest assured you’re working in a safe environment.

Zero burnout – We have seen it happen, and we never want to be a company that pushes our staff to 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

At Advancing Analytics, we pride ourselves on being a forward-thinking employer that champions innovation and inclusivity. Our remote work culture allows for flexibility while fostering collaboration through regular team engagements and industry events. With a strong commitment to employee growth, competitive benefits, and a focus on maintaining a healthy work-life balance, we empower our team members to thrive in their careers and contribute to cutting-edge AI solutions.
Advancing Analytics

Contact Detail:

Advancing Analytics 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 blogs, podcasts, and YouTube channel. This will not only help you understand their values but also give you some great talking points during your chat with the People Recruitment Manager.

✨Tip Number 2

Practice makes perfect! Prepare for the technical competency round by brushing up on your skills with Large Language Models and AI solutions. Maybe even set up a mock interview with a friend to get comfortable explaining complex concepts in simple terms.

✨Tip Number 3

Show your passion for innovation! During your interviews, share examples of how you've pushed boundaries in your previous roles. This aligns perfectly with our value of 'Advancing' and will make you stand out as a candidate who fits right in.

✨Tip Number 4

Don’t forget to ask questions! This shows you're genuinely interested in the role and the company. Inquire about their latest projects or how they implement responsible AI practices. It’s a great way to demonstrate your knowledge and enthusiasm!

We think you need these skills to ace Senior AI Consultant

PhD in Machine Learning, Computer Science, Artificial Intelligence, Data Science, Mathematics or related discipline
Experience designing and deploying GenAI and agentic AI solutions
Hands-on experience with Large Language Models (LLMs)
Prompt engineering and fine-tuning of LLMs
Development and deployment of AI agents using frameworks like LangChain and Semantic Kernel
Strong LLMOps and MLOps skills
Proficiency in production-quality Python
Knowledge of AI governance and compliance
Familiarity with the Databricks ecosystem
Excellent communication skills
Understanding of Agile delivery methodologies
Knowledge of cloud infrastructure and modern deployment practices
Experience with evaluation frameworks for AI
Background in advanced machine learning techniques

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, LLMs, and any specific tools mentioned in the job description. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention our values and how they resonate with you.

Showcase Your Projects: If you’ve worked on any cool AI projects, make sure to include them! Whether it’s deploying an ML pipeline or fine-tuning a model, we love seeing real-world applications of your skills. Links to GitHub or project demos are a bonus!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll get to explore more about us and what we stand for while you’re at it!

How to prepare for a job interview at Advancing Analytics

✨Know Your Stuff

Make sure you brush up on your technical skills, especially around GenAI and agentic AI solutions. Be ready to discuss your hands-on experience with Large Language Models and how you've implemented them in enterprise environments.

✨Showcase Your Communication Skills

Since you'll need to explain complex AI architectures to senior leaders, practice articulating your thoughts clearly. Think of examples where you've successfully collaborated with engineering teams to troubleshoot issues.

✨Align with Company Values

Familiarise yourself with Advancing Analytics' values like 'Come as you are' and 'Zero burnout'. During the interview, reflect these values in your answers to show you're a good cultural fit.

✨Prepare for Technical Questions

Expect technical competency questions in the second round. Review key concepts in LLMOps, MLOps, and AI governance. Be ready to discuss your approach to model evaluation and CI/CD practices.

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