Data & AI Engineer

Cyber Security training courses; Greater London; On-site; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Hybrid work

Career progression

Benefits package

Job summary

Cyber Security training courses in London is seeking an Data & AI Engineer to join our Hybrid team. You will design, develop and deploy enterprise-scale AI solutions, collaborating with data professionals to deliver AI products.

You will work with Python, SQL and leading ML frameworks to build pipelines, evaluate models and deploy cloud-based AI across Azure, AWS or GCP. The role offers progression and a competitive benefits package.

Qualifications

• Commercial AI or machine learning experience.
• Strong Python and SQL skills.
• Experience with TensorFlow or PyTorch.
• Experience deploying ML models.
• Experience with cloud platforms (Azure/AWS/GCP).
• Knowledge of data pipelines and MLOps.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop and deploy AI/ML solutions across the full lifecycle.
• Build scalable data pipelines and ML models.
• Collaborate with engineers and stakeholders to turn requirements into AI products.
• Contribute to ML deployment and operations in cloud environments.

Skills

Python

SQL

TensorFlow / PyTorch

ML concepts

MLOps

Tools

Azure

AWS

GCP

Job description

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 TensorFlow, PyTorch 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?

• Salary up to £50,000.
• 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.