At a Glance
- Tasks: Build and deploy real-world AI applications with cutting-edge technology.
- Company: Fast-growing GenAI consultancy with a hybrid work model.
- Benefits: Competitive salary, strong career progression, and hands-on experience.
- Other info: Dynamic environment with opportunities to lead projects in a high-growth setting.
- Why this job: Make a direct impact on clients while working with the latest GenAI tech.
- Qualifications: Strong Python skills and experience with OpenAI/LLM APIs.
The predicted salary is between 50000 - 90000 £ per year.
I’m working with a fast-growing GenAI business delivering production grade AI systems for enterprise clients. This is a hands-on role focused on building and deploying real-world LLM applications, not just prototypes.
What you’ll be working on:
- Agentic AI systems and enterprise assistants
- LLM-powered document processing & information extraction
- Production APIs and backend systems (FastAPI, REST)
- Scalable cloud infrastructure (AWS / Azure)
- Containerised deployments (Docker, Kubernetes)
- Data pipelines, orchestration, and real-time systems
Why this role?
- Work on genuinely production-ready AI systems
- Direct impact on clients
- Clear path into leading projects and teams
- Fast-scaling, high-growth environment working with the latest GenAI tech
Comp: £50k–£90k + strong progression
Do you have?
- Strong Python experience
- Experience with OpenAI / LLM APIs in production
- Cloud exposure (AWS or Azure)
- Experience building scalable systems
- Comfortable working client-facing
If you’re currently building things similar to this or want to it’s worth a conversation.
Unfortunately, they do not provide sponsorship.
Generative AI Engineer in England employer: Opus Recruitment Solutions
Join a dynamic and innovative GenAI consultancy that prioritises employee growth and development in the heart of London or Manchester. With a strong focus on building production-grade AI systems, you'll have the opportunity to work with cutting-edge technology in a collaborative and fast-paced environment, while enjoying a competitive salary and clear pathways for career advancement.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer in England
✨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 Opus Recruitment Solutions!
✨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 Generative AI Engineer at Opus Recruitment Solutions.
✨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 Opus Recruitment Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Generative AI Engineer at Opus Recruitment Solutions, 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 Generative AI Engineer in England
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 Opus Recruitment Solutions, 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 Opus Recruitment Solutions. 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 Opus Recruitment Solutions
✨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 Opus Recruitment Solutions!
✨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.