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 generous leave policies.
- Why this job: Make a real impact in the AI field while working remotely.
- Qualifications: Experience with AI solutions and strong communication skills are essential.
- Other info: Be part of a collaborative team that values diversity and growth.
The predicted salary is between 43000 - 61000 ÂŁ per year.
Salary: ÂŁ50,000 - ÂŁ70,000 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?
- 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.
- 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 aren't essential:
- Experience with agent tooling, including MCP servers, UnityCatalog functions, and tool orchestration patterns.
- Experience using the Databricks ecosystem, including UnityCatalog, Model Serving, Feature Engineering, Mosaic AI Gateway & Lakebase.
- 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.
We know this is a big list, and we’re not expecting you to tick off everything! The #1 attribute we are looking for is that you are passionate about your work and keen to learn! We’re also looking for you to be aware of/keeping up with the latest and greatest trends in AI and Machine Learning. Consultancy experience is important too, but not a deal breaker and we’re committed to investing in nurturing your “soft skills” as well as your technical ones.
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
- Discretionary Annual Bonus Scheme
- Flexible Working Hours
- Electric Car Scheme
Our company values define us:
- Advancing – Being part of a team that drives innovation and pushing 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 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 AI Consultant role. It is not an exhaustive list and may be subject to change to meet the needs of the organisation.
AI Consultant employer: Advancing Analytics Limited
Contact Detail:
Advancing Analytics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Consultant
✨Tip Number 1
Get to know the company before your interview! Dive into their YouTube channel, listen to the Totally Skewed Podcast, and read their blogs. 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. Try explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical team members.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events where Advancing Analytics is involved. This can give you insider knowledge about the company culture and might even lead to a referral!
✨Tip Number 4
Don’t forget to showcase your passion! During interviews, share your enthusiasm for AI and how you keep up with the latest trends. Remember, they’re looking for someone who’s eager to learn and grow, so let that shine through!
We think you need these skills to ace AI Consultant
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and machine learning shine through! We want to see that you're not just ticking boxes but genuinely excited about the work we do.
Tailor Your Experience: Make sure to highlight your relevant experience with GenAI and agentic AI solutions. Use specific examples that demonstrate your skills in deploying these technologies, as this will really catch our eye!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Remember, we want to understand your journey and how it aligns with our values.
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!
How to prepare for a job interview at Advancing Analytics Limited
✨Know Your Stuff
Make sure you brush up on your knowledge of GenAI and agentic AI solutions. Familiarise yourself with tools like Databricks Mosaic AI Agent Framework and Azure OpenAI Service. Being able to discuss your hands-on experience with Large Language Models will definitely impress the interviewers.
✨Show Your Passion
The company values passion and a willingness to learn above all else. Be ready to share what excites you about AI and Machine Learning, and how you keep up with the latest trends. This will help you connect with the team and show that you're a great fit for their culture.
✨Communicate Clearly
You’ll need to explain complex AI architectures to senior leaders, so practice articulating your thoughts clearly. Use simple language to describe your technical skills and experiences, and be prepared to answer questions from both technical and non-technical perspectives.
✨Embrace the Values
Familiarise yourself with the company's values: Advancing, Come as you are, Zero burnout, We all level up together, and Transparency. Think of examples from your past experiences that align with these values, as this will demonstrate that you’re not just a good candidate technically, but also culturally.