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AI / ML Engineer – United Kingdom | Remote | Visa + Salary Insights

Job Overview

This role targets a Senior-Level AI / ML Engineer specializing in enterprise AI deployment, automation, and applied machine learning. You will join BPM’s Enterprise Technology Solutions team, focusing on embedding AI-powered systems into real business workflows rather than experimental prototypes. The ideal candidate has 5+ years experience, strong expertise in Python, Azure OpenAI, and Copilot ecosystems, and a proven ability to translate business needs into scalable AI solutions. This is a high-impact builder role shaping AI adoption across tax, advisory, and corporate operations.

🌍 Work Eligibility & Location

This position operates in a Remote / Hybrid structure with periodic collaboration in London, making it accessible for candidates already located in or able to work within the UK. While visa sponsorship is not clearly confirmed, international applicants should expect preference toward those with existing UK work authorization. The distributed collaboration model still offers strong global exposure through integration with US-based teams.

💰 Salary Intelligence

The stated salary reflects a US market benchmark, specifically San Francisco compensation, making it highly competitive globally. Even with regional adjustments, this remains a top-tier compensation band for AI engineers in the UK. For candidates with strong enterprise AI experience, this role offers above-market earning potential, especially when combined with exposure to global clients and high-impact projects.

📊 Role Breakdown

This role is heavily execution-focused, with approximately 40% dedicated to building AI-powered applications such as chatbots, copilots, and workflow automations using Azure OpenAI, Copilot Studio, and Power Platform. Around 25% involves data engineering, including preparing structured and unstructured datasets and maintaining reliable ML pipelines. Another 20% focuses on integration, embedding AI solutions directly into enterprise systems across tax, advisory, and finance workflows. The remaining 15% is innovation and experimentation, where you prototype solutions using tools like LangChain, OpenAI SDK, and Azure AI SDK.

You will not just build models but operationalize AI at scale, ensuring reliability, explainability, and compliance. A key differentiator is ownership—this role involves shaping AI standards, processes, and delivery frameworks within a newly formed AI team. Expect strong cross-functional collaboration and continuous iteration based on real business impact.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a high-difficulty senior role requiring both technical depth and business alignment. Candidates must demonstrate real-world deployment experience, not just experimentation. The combination of AI engineering, data pipelines, and enterprise integration significantly raises the bar. Competition is strong globally, especially among candidates with Azure AI and Copilot experience, which are currently in high demand across enterprise environments.

🚀 Career Impact

This role offers strong career acceleration in enterprise AI, particularly in applying AI to real-world business operations. You gain exposure to cross-border projects, high-growth clients, and scalable AI systems. Long-term, this positions you for AI Architect, Head of AI, or Principal Engineer roles, especially given the opportunity to influence standards and build foundational systems from scratch.

📋 Key Responsibilities

You will design and deploy AI/ML models tailored to business use cases, including tax automation and advisory workflows. A major focus is to build AI-powered applications using Azure OpenAI, Copilot Studio, and Power Platform. You will engineer data pipelines, ensuring high-quality datasets for training and evaluation. Additionally, you will integrate AI solutions into enterprise systems, driving efficiency and automation across departments.

Collaboration is critical—you will work with IT teams, stakeholders, and governance groups to ensure alignment and compliance. You will also prototype new AI solutions, evaluate emerging tools, and implement responsible AI practices to maintain accuracy and transparency. This is a hands-on role focused on delivering measurable business outcomes.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role shows moderate urgency due to active team expansion and the formation of a new AI function. Given the high competition for senior AI engineers with enterprise deployment experience, early applications have a strategic advantage. Candidates with proven production-level AI implementations and strong Azure expertise will stand out immediately in screening.

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✅ Job Source & Verification

This job listing is derived from an official posting provided via a verified hiring platform. The information has been structured and enhanced for clarity while maintaining accuracy. Source credibility is high, as details align with enterprise hiring standards. Last updated: April 2026, ensuring relevance to current AI job market conditions.