AI Engineer​/Machine Learning Engineer

Position: AI Engineer / Machine Learning Engineer
Location: Greater London

AI Engineer / Machine Learning Engineer.

Excellent salary plus benefits.

London / Hybrid / Remote.

6-12 Months

Competitive daily rate.

We’re now looking for a skilled AI Engineer / Machine Learning Engineer to support the next phase of AI-enabled digital service delivery.

This is an opportunity to design, build and operate intelligent, production-grade AI systems that power digital services which are simpler, clearer and faster and that genuinely meet real user needs at national scale.

You’ll play a key role in developing scalable machine learning and generative AI solutions, embedding them into secure cloud environments, and working closely with multidisciplinary teams to translate complex requirements into reliable, real-world AI capabilities.

Key responsibilities include:

* Designing, building and deploying scalable machine learning, deep learning and generative AI systems for production digital services.

* Developing robust data pipelines, model training workflows and inference services across cloud-based environments.

* Collaborating with data scientists, engineers, product managers, designers and policy stakeholders to deliver end-to-end AI solutions.

* Implementing AI-enabled capabilities such as intelligent automation, natural language processing, prediction and decision support.

* Ensuring AI systems are secure, observable, maintainable and aligned with governance, privacy and responsible AI standards.

* Supporting experimentation, evaluation, monitoring and continuous improvement of models in live production environments.

* Optimising model performance, scalability, reliability and cost efficiency.

* Staying current with emerging AI tooling, architectures, frameworks and engineering best practice.

What We’re Looking For

Experience & Skills

* Strong proficiency in Python and modern machine learning frameworks.

* Proven experience building, deploying and maintaining machine learning or deep learning systems in production.

* Knowledge of natural language processing, transformers or generative AI architectures.

* Experience working with large-scale datasets, data pipelines and cloud data platforms.

* Understanding of software engineering best practice, testing, versioning and CI/CD for ML systems.

* Familiarity with MLOps principles including monitoring, evaluation, retraining and lifecycle management.

* Ability to communicate complex technical concepts clearly to a wide range of stakeholders.

* Experience collaborating within multidisciplinary digital or product teams.

* Commitment to ethical, transparent and responsible AI engineering.

* Comfortable working in fast-moving, evolving and sometimes ambiguous environments.

Desirable (but not essential):

* Experience integrating large language models via APIs or open-source frameworks.

* Fine-tuning, evaluating or optimising generative AI systems.

* Experience with containerisation, orchestration and scalable cloud infrastructure.

* Knowledge of reinforcement learning, graph machine learning or advanced deep learning approaches.

* Exposure to observability, model governance and AI assurance practices.

* Experience with in government, public sector or other regulated environments.

* Mentoring engineers or contributing to AI engineering standards and capability development.

This is a unique opportunity to engineer AI systems that directly impact digital services, working with modern platforms, meaningful challenges and technology that benefits millions of users