At a Glance
- Tasks: Build and deliver AI solutions using cutting-edge technologies in a collaborative environment.
- Company: Join Talan Data x AI, a leader in data management and analytics consultancy.
- Benefits: Enjoy competitive salary, 25 days holiday, private medical insurance, and a unique sabbatical programme.
- Other info: Dynamic role with opportunities for mentorship and career growth in a supportive team.
- Why this job: Make a real impact with modern AI while learning from industry experts.
- Qualifications: 2-4 years in data science or AI engineering, strong Python skills, and experience with LLMs.
The predicted salary is between 70000 - 90000 £ per year.
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data.
At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).
Job Description
As our AI practice grows, we are looking for a capable, hands-on AI Engineer to help build and deliver the solutions at the heart of our client work.
Coming from a data science background, you are equally comfortable applying proven machine-learning techniques to traditional analytics problems and working with the latest generative AI (large language models, retrieval-augmented generation, and agent-based applications).
You enjoy building, you write dependable code, and you turn well-defined designs into working software.
This is a delivery-focused role that sits a level below our Lead Data Scientists.
You will own meaningful workstreams within a project rather than the whole engagement, working to an architecture and plan shaped by more senior colleagues.
In return, you will gain breadth across modern AI, exposure to real client problems,
You will also be a supportive presence within the team, helping your peers solve problems, sharing what you learn, and giving day-to-day guidance to graduate and junior resources working alongside you.
Required skills & experience
- Build, test, and deploy AI and machine learning components within client projects to the standards and designs set by senior colleagues.
- Develop Gen AI and LLM-based features (prompting, retrieval-augmented generation, and simple agentic workflows) alongside more traditional ML models.
- Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them.
- Translate solution designs into clean, well-documented, production-minded code.
- Contribute to model evaluation, testing, and monitoring.
- Support and guide very junior and graduate resources, reviewing their work and helping them grow.
- Help peers unblock technical problems and share knowledge across the team.
- Take part in client and team discussions and communicate your work clearly.
Qualifications
To qualify for this role, you must have
- Typically, 2–4 years' experience in data science, machine learning, or AI engineering.
- Solid grounding in core data science and machine learning.
- Practical experience with LLMs and generative AI, including prompting and RAG.
- Familiarity with how AI agents are built and orchestrated.
- Strong Python and common data/ML libraries; good engineering habits.
- Clear communicator and collaborative team player.
Ideally, you’ll also have, but not essential
- Exposure to cloud AI platforms, Azure a plus.
- Experience practicing MLOps and LLMOps.
- Early experience mentoring junior colleagues.
- Interest in consulting and client-facing delivery.
You must be
- Willing to work on client sites, potentially for extended periods.
- Willing to travel for work purposes and be happy to stay away from home for extended periods.
- Eligible to work in the UK without restriction.
- #Talan UK #LI-HB1
- Additional Information
Compensation & Benefits Package
- BDP Plus – A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.
- 25 days holiday + bank holidays.
- 5 days holiday buy/sell option.
- Private medical insurance.
- Life cover.
- Cycle to work scheme.
- Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).
- Employee assistance programme.
- Bespoke online learning via Udemy for Business.
This is a role built for momentum, working across the full spectrum of modern AI, learning from senior architects and leads on real engagements, with genuine responsibility from day one and a clear path into a leadership track.
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AI Engineer (LLMs, Agents & Applied Data Science) • UK Wide (London, Edinburgh, Manchester, Leeds, Birmingham), GB
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Ai Engineer (Llms, Agents & Applied Data Science) in Edinburgh employer: Talan
At Talan Data x AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across our UK offices in London, Edinburgh, Manchester, Leeds, and Birmingham. Our commitment to employee growth is evident through our comprehensive benefits package, including a unique reward programme for sabbaticals, generous holiday allowances, and bespoke online learning opportunities, ensuring that our team members not only excel in their roles but also thrive personally and professionally in the fast-evolving field of data science and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Ai Engineer (Llms, Agents & Applied Data Science) in Edinburgh
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We think you need these skills to ace Ai Engineer (Llms, Agents & Applied Data Science) in Edinburgh
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Talan. 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 Talan
✨Brush Up on Your Statistics
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✨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 Talan!
✨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.
