At a Glance
- Tasks: Lead AI implementation and drive adoption across the organisation with innovative solutions.
- Company: Join a forward-thinking company on an exciting AI transformation journey.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a collaborative culture that values innovation and creativity.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: Experience in AI adoption, strong technical skills, and excellent communication abilities.
The predicted salary is between 60000 - 80000 £ per year.
We are partnering with an ambitious and growing organisation embarking on a significant AI transformation journey.
The business is investing heavily in AI to improve operational efficiency, enhance customer experience, and unlock new opportunities for growth.
As th e Technical AI Implementation Le ad, you will play a pivotal role in building and scaling AI capability across the organisation.
This is a senior, hands‑on position combining AI strategy, technical implementation, automation, and user enablement.
You will be responsible for identifying high‑value AI opportunities, implementing practical solutions, and driving adoption across the business through training, coaching, and best‑practice guidance.
Acting as a bridge between technology and the wider business, you will work closely with stakeholders at all levels to ensure AI delivers measurable and lasting impact.
This is a rare opportunity to shape AI capability from the ground up, establish best practices, and play a key role in defining how AI transforms the organisation for years to come.
The Role
- Define and execute the organisation's AI implementation and adoption strategy.
- Identify, prioritise, and deliver high-impact AI initiatives across multiple business functions.
- Evaluate, select, implement, and optimise AI tools, platforms, and automation solutions.
- Design and deliver AI‑enabled workflows, integrations, and lightweight automations to improve productivity and operational efficiency.
- Build practical AI use cases, prototypes, and proof‑of‑concepts to demonstrate business value.
- Partner with stakeholders to understand business challenges and translate them into scalable AI solutions.
- Lead the rollout and adoption of AI technologies, ensuring teams are supported through training, coaching, and enablement activities.
- Develop reusable playbooks, frameworks, and best practices to support effective and responsible AI usage.
- Establish governance frameworks, usage policies, and guardrails for AI across the organisation.
- Monitor emerging AI technologies and assess their potential application within the business.
- Act as the internal subject matter expert for AI, providing guidance and support across technical and non‑technical teams.
- Demonstrable experience leading AI adoption, digital transformation, or technology enablement initiatives within a commercial environment.
- Strong technical background in software engineering, systems integration, automation, platform engineering, solutions architecture, or a related discipline.
- Hands‑on experience implementing and applying AI technologies, including Large Language Models (LLMs) and generative AI tools.
- Experience designing and deploying AI‑enabled workflows, automations, and integrations using APIs and modern AI platforms.
- Strong understanding of prompt engineering, evaluation techniques, and the practical application of AI within business environments.
- Experience engaging and influencing stakeholders across both technical and non‑technical audiences.
- Excellent communication, facilitation, and change management skills.
- Excellent interpersonal skills, with the ability to engage, coach, and influence both technical and non‑technical stakeholders across all levels of the organisation.
- Comfortable operating at both strategic and hands‑on levels.
- Experience with workflow automation platforms such as Power Automate, Zapier, Make, or n8n.
- Experience integrating AI solutions with existing Saa S platforms and business systems.
- Familiarity with cloud AI platforms such as AWS Bedrock, Azure AI, or Google Vertex AI.
- Experience with agentic AI, orchestration frameworks, AI assistants, or multi‑agent systems.
- Previous experience within highly operational, customer‑centric, or fast‑paced environments.
- Experience building communities of practice, AI champion networks, or internal enablement programmes.
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StudySmarter Expert Advice🤫
We think this is how you could land Technical AI Implementation Lead
✨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 Oscar!
✨Show Off Your Projects
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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 Oscar.
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We think you need these skills to ace Technical AI Implementation Lead
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 Oscar, 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 Oscar. 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 Oscar
✨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 Oscar!
✨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.
