At a Glance
- Tasks: Join a dynamic team to develop innovative AI solutions across various sectors.
- Company: Fast-growing data and AI consultancy with a focus on learning and growth.
- Benefits: EMI share options, generous training allowance, matched pension, and flexible holiday.
- Other info: Hybrid work model with opportunities for international work and regular team socials.
- Why this job: Make a real impact in exciting projects while rapidly advancing your skills.
- Qualifications: 2+ years in AI/ML engineering with hands-on experience in production environments.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (hybrid – 2 days per week in office)
Type: Permanent
Interview Process: 3 stages
We're hiring an AI/ML Engineer for a fast‑growing data and AI consultancy working across financial services, private equity, retail, asset management, and the public sector. This is a new role driven by increased project demand; you won't be joining a team that's standing still. Engineers here typically say they learn more in a year than anywhere else they've worked, and the project mix backs that up: satellite image analysis, pharma auditing copilots, government deepfake detection, and more.
You’ll join a 12‑person engineering team and work across the full lifecycle – from fast POCs through to production‑grade systems in regulated environments. There’s a hard start date on an upcoming project, so we’re moving quickly.
About you
- At least 2 years of experience in AI engineering, ML engineering, or a closely related data science role
- Hands‑on production experience with LLMs
- Strong understanding of RAG, embeddings, context engineering, and agentic frameworks
- Experience with evals and model monitoring in live environments
- Comfortable with Azure, LangChain, and modern MLOps practices
- Solid Python and the engineering discipline to write clean, testable, version‑controlled code
- Clear communicator – you can explain models and trade‑offs to non‑technical stakeholders
- SC clearance eligibility (UK 5‑year residency) is a plus – not required now but may be needed for certain government projects
What’s on offer
- EMI share options
- £6,000 annual training and conference allowance
- Matched pension up to 6%
- 25 days holiday + bank holidays (buy or sell up to 5)
- Work abroad up to one month per year
- Central London office with regular socials
Interested? Message me here or email mmatysik@trg-uk.com
AI Engineer employer: TRG
Join a dynamic and innovative AI consultancy in London, where you'll be part of a collaborative engineering team that thrives on learning and growth. With a strong focus on employee development, you can expect generous training allowances, share options, and the flexibility of hybrid working. Our vibrant work culture encourages creativity and offers unique projects across various sectors, ensuring that your contributions make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 TRG!
✨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 AI Engineer at TRG.
✨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 TRG.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer at TRG, 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 AI Engineer
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 TRG, 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 TRG. 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 TRG
✨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 TRG!
✨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.
