At a Glance
- Tasks: Lead AI strategy and develop innovative AI solutions for diverse business functions.
- Company: Eigen Ltd, a forward-thinking tech company in the energy and infrastructure sectors.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a culture of continuous improvement and responsible AI innovation.
- Why this job: Shape the future of AI while working with cutting-edge technologies and a dynamic team.
- Qualifications: 4+ years in AI or software development, strong leadership skills, and a passion for innovation.
The predicted salary is between 80000 - 100000 £ per year.
About Eigen Ltd
Eigen is a technology company delivering innovative software, data, engineering and digital solutions to clients across energy, infrastructure and industrial sectors. We are committed to continuous improvement, innovation, information security, and the responsible use of emerging technologies. Our Information Security Management System is aligned with ISO 27001, and we maintain a strong culture of governance, compliance, safety and professional development.
Role: Artificial Intelligence Lead
Location: Leatherhead, UK
Job Type: Full-time, 40 hours per week
Work Model: Hybrid (4 days in office + 1 day remote)
Required: Fluent English (written and spoken), 4+ years’ experience in a similar role.
Travel: Occasional travel required
- AI Strategy & Leadership
- Develop and maintain Eigen’s AI strategy and roadmap.
- Identify opportunities where AI can improve products, services, internal operations and client outcomes.
- Help establish AI governance, standards, and best practices across the organisation.
- Advise the Board and Senior Leadership Team on emerging AI technologies, opportunities and risks.
- AI Ecosystem Development
- Design and implement a scalable AI ecosystem supporting multiple business functions.
- Select and manage AI technology platforms, frameworks, vendors and partners.
- Establish standards for Model development.
- Establish standards for Data governance.
- Establish standards for Prompt engineering.
- Establish standards for LLMOps.
- Establish standards for AI security.
- Establish standards for Model monitoring and lifecycle management.
- Develop reusable AI services and internal tooling that can be leveraged across projects.
- Create processes that enable safe and efficient adoption of Generative AI technologies.
- AI & LLM Solution Development
- Lead the design, development and deployment of Large Language Model applications.
- Lead the design, development and deployment of AI Agents.
- Lead the design, development and deployment of Retrieval-Augmented Generation (RAG) systems, particularly Graph-RAG.
- Lead the design, development and deployment of Knowledge management solutions.
- Lead the design, development and deployment of AI‑powered software products.
- Lead the design, development and deployment of Internal productivity tools.
- Build and maintain AI development standards and architecture patterns.
- Evaluate commercial and open‑source AI models and platforms.
- Lead proof‑of‑concepts through to production deployment.
- Work alongside software development teams to integrate AI capabilities into existing products and services.
- Data & Information Governance
- Ensure AI implementations comply with GDPR, UK Data Protection requirements and Eigen’s Information Security policies.
- Develop AI governance controls aligned with ISO 27001 and company security standards.
- Help establish policies governing the use of public and private AI services.
- Ensure client data is protected and AI solutions are developed using secure‑by‑design principles.
- Support risk assessments and security reviews for AI systems.
- Innovation & Continuous Improvement
- Maintain awareness of developments in AI, Generative AI, Machine Learning and Agentic Systems.
- Evaluate new technologies and recommend adoption where appropriate.
- Develop AI training and awareness programmes for staff.
- Promote a culture of responsible AI innovation across the business.
- Essential Skills & Experience
- Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a related discipline.
- Minimum 4 years’ experience in software development, machine learning, data science or AI engineering.
- Demonstrable experience delivering AI or LLM solutions into production environments.
- Strong understanding of Generative AI.
- Strong understanding of LLM architectures.
- Strong understanding of RAG systems.
- Strong understanding of Graph Databases, e.g. Neo4j.
- Strong understanding of Vector databases.
- Strong understanding of Agent frameworks.
- Strong understanding of Prompt engineering.
- Strong understanding of Fine‑tuning techniques.
- Experience with cloud AI platforms such as Claude, OpenAI, AWS Bedrock, Google Vertex AI.
- Strong software engineering background in Python and modern development practices.
- Experience building APIs and integrating AI services into enterprise applications.
- Knowledge of information security, data privacy and governance requirements.
- Ability to translate complex technical concepts into business value.
- Desirable Skills & Experience
- Familiarity with MLOps and LLMOps platforms.
- Knowledge of Microsoft Copilot ecosystem.
- Experience with knowledge graph technologies.
- Experience implementing ISO 27001‑aligned controls.
- Personal Attributes
- Strategic thinker with strong commercial awareness.
- Self‑motivated and capable of operating independently.
- Innovative and pragmatic in equal measure.
- Strong leadership and influencing skills.
- Excellent problem‑solving capability.
- Comfortable working in a growing and evolving technology business.
- Passionate about emerging technologies and continuous learning.
Artificial Intelligence Lead in Leatherhead employer: Eigen Ltd
Eigen Ltd is an exceptional employer, offering a dynamic work environment in Leatherhead that fosters innovation and professional growth. With a strong commitment to employee development, a hybrid work model, and a culture that prioritises information security and responsible technology use, Eigen empowers its team to lead in the AI space while ensuring a supportive atmosphere for continuous learning and collaboration.
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We think this is how you could land Artificial Intelligence Lead in Leatherhead
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Artificial Intelligence Lead in Leatherhead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Eigen Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Eigen Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Eigen Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Eigen Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
