Senior AI Consultant

🕒 March 24

🇬🇧 United Kingdom – Remote

💵 £70k - £100k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Advancing Analytics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Advancing Analytics is a Big Data and AI consultancy that helps organisations turn data into actionable insight. The company specializes in Microsoft Data & AI and Databricks technologies, advancing Lakehouse architecture and blending traditional analytics with machine learning and AI. They provide services across data engineering, analytics, strategy and systems implementation, operating as a remote-first, B2B consultancy staffed by certified experts.

📋 Description

• Help customers implement a large language model, geared to solving complex and advanced business challenges. • Deploy an end-to-end ML pipeline to streamline and automate the AI offerings of some of the largest organisations in the world.

🎯 Requirements

• 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.

🏖️ Benefits

• Up to 15% discretionary bonus • 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