At a Glance
- Tasks: Lead AI strategy and execution, driving innovation and transformation across business domains.
- Company: Join a leading tech firm focused on AI and intelligent automation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with global impact and a focus on continuous learning.
- Why this job: Shape the future of AI while collaborating with top industry leaders.
- Qualifications: Expertise in Python, .NET, and cloud technologies; strong leadership skills required.
The predicted salary is between 70100 - 100000 £ per year.
The Director for AI & Intelligent Automation will define and execute the enterprise strategy for Artificial Intelligence, Machine Learning, and Automation across business domains. This role blends technical excellence, strategic leadership, and commercial acumen, combining deep expertise in Python, .NET, and cloud‑native architectures to deliver scalable, secure, and value-generating intelligent systems.
The MD/D will partner with C‑suite executives, technology leaders, and global delivery teams to embed AI capabilities at scale—accelerating innovation, enhancing decision‑making, and transforming enterprise operations.
What you’ll do:
- Define the global AI & Intelligent Automation strategy, ensuring alignment with enterprise digital transformation and innovation objectives.
- Establish governance frameworks for AI ethics, model transparency, and Responsible AI, ensuring compliance with regulatory and risk standards.
- Serve as the senior executive sponsor for AI architecture, operating model, and adoption roadmap.
- Oversee the design and deployment of enterprise‑grade AI solutions using Python, .NET, and cloud‑based MLOps pipelines.
- Direct teams leveraging advanced frameworks including PyTorch, TensorFlow, Hugging Face, ONNX Runtime, and LangChain.
- Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral.
- Implement retrieval‑augmented generation (RAG) architectures and manage vector databases to support enterprise knowledge intelligence systems.
- Lead the evolution of the enterprise data estate, leveraging modern data platforms.
- Oversee data engineering ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards.
- Drive the adoption of Delta Lake, Iceberg, and Hudi for scalable data lakehouse architectures.
- Champion multi‑cloud architecture and engineering excellence across Azure, AWS, and GCP.
- Ensure resilient and cost‑effective deployment via Docker, Kubernetes, and Terraform/Bicep.
- Lead enterprise MLOPs initiatives with continuous integration pipelines.
- Oversee monitoring and observability using various tools.
- Guide integration of AI/ML workflows into enterprise‑grade .NET Core applications.
- Modernize legacy systems through microservices and message‑driven solutions.
- Implement secure and compliant DevSecOps practices aligned to enterprise standards.
- Drive end‑to‑end intelligent automation using various automation tools.
- Integrate cognitive services to augment digital workflows.
- Lead enterprise process mining and optimization initiatives.
- Oversee the integration of analytics and AI to deliver measurable business outcomes.
- Advance enterprise analytics using various analytics tools.
- Foster data‑driven decisioning through predictive and optimization models.
- Ensure alignment with enterprise security standards and frameworks.
Leadership, Talent & Innovation
- Build and lead high‑performing global teams in data science, engineering, and automation disciplines.
- Cultivate a culture of innovation, continuous learning, and responsible experimentation.
- Engage with the external AI ecosystem to identify strategic partnerships and emerging opportunities.
This role is for you if you have:
- Proven record integrating Python‑based AI with .NET enterprise systems.
- Deep expertise across multi‑cloud environments, data governance, and enterprise DevSecOps.
- Demonstrated ability to deliver large‑scale transformation programs and measurable ROI.
- Strong executive presence, communication, and client/stakeholder management skills.
Director of AI Engineering in Tech Catalyst UK employer: Dormont Manufacturing Co
At Tech Catalyst UK, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Director of AI Engineering, you will have the opportunity to lead high-performing global teams while driving transformative AI strategies that shape the future of technology. Our commitment to employee growth is evident through continuous learning initiatives and strategic partnerships with leading academic institutions, ensuring that you are at the forefront of industry advancements in a dynamic and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Director of AI Engineering in Tech Catalyst UK
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Director of AI Engineering in Tech Catalyst UK at Dormont Manufacturing Co.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Director of AI Engineering in Tech Catalyst UK at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Director of AI Engineering in Tech Catalyst UK
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, 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 Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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!
✨Showcase Your Projects
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 Dormont Manufacturing Co!
✨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.
