At a Glance
- Tasks: Build and deploy AI systems that automate real-world processes and drive national-scale change.
- Company: Join a pioneering AI company transforming industries and modernising society.
- Benefits: Competitive salary, equity, unlimited PTO, and daily lunches.
- Other info: Collaborate with elite peers and enjoy autonomy in a fast-paced environment.
- Why this job: Make a real impact by deploying AI that powers economies and saves lives.
- Qualifications: Experience with GenAI or LLM applications and strong Python skills.
The predicted salary is between 80000 - 98000 £ per year.
Focus
| Real-World AI Deployment Across Enterprise & Operational Environments, AI Systems, LLM Applications & Agentic Workflows
We’re working with a frontier AI company that builds and deploys AI systems for the world’s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself.
This is not research for research’s sake.
This is applied AI, deployed in the real world.
They are backed by some of the world’s most respected founders and AI pioneers, and built a 70+ person team from tier-1 companies.
Now, they’re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
The Role
As an AI/ML Engineer, you’ll turn state-of-the-art models into production-grade systems that power national-scale change.
You’ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
You’ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
- What You’ll Do
- Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
- Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
- Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
- Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
- Stay ahead of the curve: explore the latest Gen AI, LLM, and reasoning research to push models from theory to practice.
- You’ll Thrive Here If You…
- Have hands-on experience building Gen AI or LLM-based applications (agents, RAG, reasoning models).
- Know your way around Python, Py Torch, JAX, or Tensor Flow, with strong software engineering fundamentals.
- Can work across data pipelines, APIs, and production deployments with speed and precision.
- Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
- Want your work to matter to see it deployed across industries, governments, and communities.
- Why Join
- Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
- Elite peers: collaborate with engineers and researchers from tier-1 places.
- Move fast, own outcomes: you’ll ship code in weeks, not quarters.
- Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
- Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
If you want to build AI that doesn't just predict but powers economies, saves lives, and redefines what's possible, this is where you do it.
Join the team building AI that actually ships. Get in touch with for more information.
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AI/ML Engineer in London employer: Salient Group
Stealth AI Company is an exceptional employer for a DevOps Engineer, offering a unique opportunity to shape the infrastructure that supports groundbreaking scientific discovery. With a small, highly skilled team and a culture that values ownership and innovation, employees benefit from strong compensation packages, meaningful equity, and the chance to work in a dynamic environment that encourages collaboration and personal growth. Located in London, the company provides flexibility for talent across Europe, making it an attractive choice for those looking to make a significant impact in the AI and research sectors.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer in London
✨Get Involved in Data Science Meetups
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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 Salient Group.
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We think you need these skills to ace AI/ML Engineer 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 Salient Group, 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 Salient Group. 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 Salient Group
✨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 Salient Group!
✨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.