At a Glance
- Tasks: Design and deploy real-world AI solutions in complex environments.
- Company: Join a high-trust, collaborative tech environment focused on impact.
- Benefits: Work on cutting-edge projects with opportunities for professional growth.
- Other info: Ideal for hands-on engineers who love solving real problems.
- Why this job: Tackle complex AI challenges and influence technical direction.
- Qualifications: Strong Python skills and experience in AI/ML solutions.
The predicted salary is between 81000 - 99000 £ per year.
We're looking for a hands‐on Applied AI Scientist to design, build and deploy real‐world AI solutions in complex, constrained environments. This is a senior technical role focused on delivery and impact - ideal for someone who enjoys solving challenging problems and influencing through expertise.
What you'll be doing:
- Designing, building and deploying AI/ML solutions end‐to‐end
- Working closely with users to translate real‐world problems into technical solutions
- Developing models using production‐grade Python
- Deploying AI solutions in secure, offline / air‐gapped environments
- Working with GPU hardware for training and inference
- Optimising performance, scalability and system resilience
- Influencing technical direction through delivery and expertise
- Sharing knowledge and supporting continuous learning across the team
What we're looking for:
Essential:
- Strong experience as an Applied AI Scientist / Data Scientist
- Excellent Python engineering skills (production‐level)
- Experience building and deploying AI solutions without reliance on cloud‐managed services
- Solid understanding of modern AI/ML techniques
- Experience with GPU‐based model training/inference
- Ability to work independently and own delivery end‐to‐end
- Strong problem‐solving skills and stakeholder engagement
Nice to have:
- Experience in secure or air‐gapped environments
- Experience with edge or constrained systems
- Background delivering AI in real‐world operational environments
- Ability to influence technical decisions without formal authority
Why join?
- Work on complex, real‐world AI challenges
- High‐trust, collaborative environment focused on impact
- Opportunity to shape solutions in cutting‐edge, constrained environments
If you're a hands‐on AI engineer who thrives on solving real problems and delivering impact, apply now.
Principal Applied AI Scientist in London employer: Lorien Resourcing
Join a leading retailer that values its employees and fosters a collaborative work culture, where your contributions as a Senior Legal Counsel will be recognised and rewarded. With competitive salaries, a market-leading pension scheme, and comprehensive private healthcare, this role offers not just a job but a pathway for professional growth in a dynamic environment. Enjoy the flexibility of a hybrid working model while being part of a high-performing legal team that supports strategic projects across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Applied AI Scientist in London
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We think you need these skills to ace Principal Applied AI Scientist in London
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 Lorien Resourcing, 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 Lorien Resourcing. 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 Lorien Resourcing
✨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 Lorien Resourcing!
✨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.
