AI Engineer / Machine Learning Engineer.

New Yesterday

Competitive daily rate. Excellent Salary Plus Benefits. London / Hybrid / Remote. 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 within 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. #J-18808-Ljbffr
Apply
Location:
Greater London
Job Type:
FullTime

We found some similar jobs based on your search