AI Engineer / Machine Learning Engineer

Change-IT Public Sector

United Kingdom

United Kingdom

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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 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

United Kingdom

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