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Lead AI Consultant

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Hitachi Solutions Germany
Full Time position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation.

As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics.

Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients.

Be part of our Hitachi family

We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation – and through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don´t take our word for it – have a look at what our employees are saying:
Hitachi Solutions Bulgaria

Job Description Key Accountabilities
  • Accountable for providing hands-on technical knowledge, while managing client relationships within the project context.
  • Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution.
  • Accountable for maintaining a thorough knowledge of the organization and adhering to organizational standards.
Key Responsibilities
  • Capture client requirements and lead the development of solution architectures that meet both current and future business needs.
  • Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions.
  • Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation.
  • Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI).
  • Explore and Analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Foundry
  • Implement data pipelines and workflows to automate and ope rationalise machine learning and GenAI solutions using tools such as Azure ML Pipelines, Azure Dev Ops.
  • Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights.
  • Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed.
  • Communicate and present findings and recommendations to stakeholders and customers.
Key Performance Indicators
  • Solution delivery to the agreed standard of quality
  • Solution delivery to the agreed budget and timescales.
Qualifications Key Competencies
  • Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services
  • Demonstrable experience in data science, machine learning, or a related field.
  • Proficiency in Python, SQL, or other programming languages for data analysis, machine learning and GenAI.
  • Experience with cloud platforms and services, preferably Azure, for data science and machine learning
  • Experience with one or more generative AI and LLM frameworks and tools.
  • Experience with machine learning concepts and techniques.
  • Experience with data visualisation and storytelling tools and techniques.
  • Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices.
  • Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks
  • Excellent communication, collaboration, stakeholder management, and problem-solving skills.
  • Familiarity with the Microsoft Copilot stack, including Copilot Studio
  • Microsoft Certified:
    Azure AI Cloud Developer Associate (AI-200), Machine Learning Operations Engineer Associate (AI-300) or Agentic AI Business Solutions Architect (AB-100) is a plus
  • Experience with in a consultancy setting, or demonstrable evidence of a consulting skillset is a plus.
Additional Information

What You’ll Bring

You are enthusiastic, curious and eager to build a career in consulting and change management. You enjoy working with people, communicating ideas clearly and helping organisations…

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