AI & Machine Learning Engineer

AI & Machine Learning Engineer - Multiple Levels Available

London (Hybrid) - Python, SQL, TensorFlow, PyTorch - Azure, AWS & GCP - Up to £75,000

Our client is investing heavily in Artificial Intelligence and Machine Learning capabilities and is seeking talented AI professionals to join a growing technology team in London.

This is an opportunity to work on cutting‑edge AI solutions, develop enterprise‑scale machine learning applications and collaborate with highly skilled technical professionals delivering innovative outcomes for a range of organisations.

Whether you're looking to deepen your technical expertise or take on greater ownership and leadership responsibilities, this role offers exceptional development opportunities and clear career progression.

You Will Work With

Building and deploying AI and Machine Learning solutions

Designing and implementing end-to-end AI and ML pipelines, from data acquisition and feature engineering through to deployment and optimisation

Developing scalable ML pipelines and engineering frameworks

AI model training, evaluation, optimisation and deployment

Cloud-native AI and data platforms across Azure, AWS and GCP

MLOps tools and best practices for deployment, monitoring and governance

Structured and unstructured datasets

Generative AI and advanced analytics solutions

Designing and maintaining scalable data pipelines, datasets and workflows

Collaborating directly with client stakeholders to understand business challenges and translate requirements into AI solutions

Working closely with technical and non-technical teams throughout programme delivery

Cross-functional engineering, architecture and data teams

Agile software development and delivery methodologies

Exploring and adopting emerging AI technologies and approaches to drive innovation and business value

Benefits

Salary up to £75,000

Hybrid and flexible working arrangements

Access to cutting‑edge AI projects

Professional certifications and ongoing training

Structured career progression opportunities

Exposure to modern technologies and large-scale programmes

Supportive and collaborative culture

Opportunity to work across a variety of industries

Competitive benefits package

Key Experience

Experience building and deploying AI or Machine Learning solutions in a commercial environment

Strong Python and SQL skills

Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks

Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices

Experience with Azure, AWS or GCP cloud environments

Knowledge of data engineering principles including ETL processes, data pipelines and automated workflows

Experience working with structured and unstructured data

Understanding of MLOps tooling and best practices

Knowledge of data governance, security and compliance principles within AI and data environments

Strong analytical and problem‑solving abilityExperience working within Agile delivery environments

Ability to work closely with stakeholders and translate business requirements into effective AI solutions

Desirable

Generative AI experience

Large Language Models (LLMs)

LangChain or similar frameworks

Spark, Hadoop or other big data technologies

Experience with distributed computing, streaming platforms or workflow orchestration tools

Experience monitoring and optimising model performance in production environments

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