At a Glance
- Tasks: Lead AI projects, embed solutions, and drive real operational impact with clients.
- Company: Innovative organisation transforming public and private sectors with AI and digital tools.
- Benefits: Competitive salary, bonuses, structured development support, and exposure to high-impact projects.
- Other info: Collaborative culture with opportunities for career growth and access to cutting-edge technologies.
- Why this job: Shape the future of AI and make a tangible difference in diverse sectors.
- Qualifications: Experience in AI, data science, and strong leadership skills.
The predicted salary is between 90000 - 110000 £ per year.
This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes.
The Company
This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction.
The Role
- Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling.
- Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools.
- Work closely with client teams on the ground to embed solutions directly into operations.
- Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results.
- Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders.
- Mentor colleagues and help shape best‑practice approaches across digital programmes.
- Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams.
Your Skills and Experience
- Strong commercial experience taking digital ideas from concept through to operational impact.
- Deep capability in AI, data science, advanced analytics, or digital tooling.
- Ability to turn technical designs into practical, in‑operation solutions.
- Confident leading teams and managing stakeholders across technical and non‑technical backgrounds.
- Skilled at communicating complex ideas simply and clearly.
- A hands‑on, client‑centric approach with a focus on delivering measurable outcomes.
- Comfortable working on‑site with clients to drive change in real time.
What They Offer
- Clear progression pathways with structured development support.
- Exposure to high‑impact projects across diverse sectors.
- A collaborative digital community with access to the latest technologies.
How to Apply
If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.
Lead AI Engineer (191492) in Livingston employer: Harnham
This organisation stands out as an exceptional employer, offering a collaborative and low-ego work culture that prioritises the development of exceptional talent. With clear progression pathways and exposure to high-impact projects across diverse sectors, employees are empowered to drive meaningful change using cutting-edge AI and digital tools. The hybrid working model allows for flexibility while ensuring that team members can engage directly with clients, fostering a hands-on approach to delivering measurable outcomes.
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We think this is how you could land Lead AI Engineer (191492) in Livingston
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We think you need these skills to ace Lead AI Engineer (191492) in Livingston
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
