At a Glance
- Tasks: Design, develop, and deploy AI solutions using cutting-edge technologies.
- Company: Leading organisation in the Technology and Data space with a focus on innovation.
- Benefits: Up to £50,000 salary, hybrid working, and competitive benefits package.
- Other info: Excellent career progression opportunities and collaboration with skilled professionals.
- Why this job: Join a dynamic team and work on modern AI projects that make a real impact.
- Qualifications: Experience in AI or Machine Learning, strong Python and SQL skills required.
The predicted salary is between 80000 - 98000 £ per year.
Data & AI Engineer - London (Hybrid) – Up to £50,000
We are supporting a leading organisation within the Technology and Data space that deliver technology-enabled transformations.
This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation.
This is an opportunity to design, build and deploy enterprise-scale AI solutions, working alongside highly skilled engineers and data specialists to deliver innovative products for a diverse portfolio of organisations.
Whether you’re an experienced engineer looking to specialise further or you’re ready to take on greater technical ownership and leadership, there are excellent opportunities for progression, learning and career development.
The Role
You’ll play a key role in designing, developing and deploying AI and Machine Learning solutions, working across the full ML lifecycle from data preparation and feature engineering through to model deployment and optimisation.
Working with Python, SQL and leading ML frameworks, you’ll build scalable pipelines, develop and evaluate models and help deliver cloud‑based AI solutions across Azure, AWS or GCP.
You’ll also contribute to MLOps practices, support production deployments and work with both structured and unstructured datasets.
You’ll collaborate closely with engineers, data professionals and business stakeholders to turn requirements into practical AI solutions, while keeping up to date with emerging technologies including Generative AI and Large Language Models.
- Required Experience
- Commercial AI or Machine Learning experience.
- Strong Python and SQL skills.
- Experience with Tensor Flow, Py Torch or similar frameworks.
- Understanding of machine learning and model deployment.
- Experience with Azure, AWS or GCP.
- Knowledge of data pipelines, ETL and MLOps.
- Strong analytical and problem‑solving skills.
- What Do They Offer
- Hybrid and flexible working.
- Modern AI projects using the latest technologies.
- Clear career progression.
- Competitive benefits package.
All candidates must be available to travel on‑site at least 3 days a week.
To be eligible for this role you’re required a full, unrestricted right to work in the UK.
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Data & AI Engineer employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a dynamic work environment for a Senior Power Platform Developer. With a strong focus on employee growth, you will have the opportunity to lead projects, mentor fellow developers, and shape the technical direction of the company while enjoying the flexibility of a hybrid working model. This role not only provides competitive remuneration but also fosters a culture of continuous learning and development, making it an excellent choice for those seeking meaningful and rewarding employment in the tech industry.
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We think this is how you could land Data & AI Engineer
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We think you need these skills to ace Data & 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!
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Craft a Tailored Cover Letter:For a full-time role at Nigel Frank, 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 Nigel Frank. 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!
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✨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!
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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
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✨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.
