AI Engineer

AI Engineer - London - Hybrid 3 days PW in the office - Salaries in the region of £70,000 - £90,000 depending on skills \& experience - J13167 We are seeking an AI Engineer to design, build, and deploy innovative AI solutions that solve complex real-world challenges at scale. Joining a newly established AI function at an exciting early stage, you will play a key role in shaping the future of AI capabilities within the organisation. Working with world-class datasets, you will develop intelligent systems that deliver meaningful impact for customers, enhance operational performance, and support frontline teams. This is an exciting opportunity for an experienced AI Engineer to work at the forefront of artificial intelligence innovation, developing cutting-edge solutions that combine machine learning, Generative AI, and advanced data capabilities. You will have the opportunity to influence the direction of AI initiatives from the ground up, working across the full AI lifecycle from design and development through to deployment and optimisation. The role offers the chance to build scalable, production-ready AI applications while collaborating with talented technical teams to deliver solutions that create real business value. Key responsibilities • Design, develop, and deploy scalable AI and machine learning solutions, taking projects from concept through to production with a focus on predictive analytics, optimisation, automation, Generative AI, and agentic AI. • Build AI-powered applications using Large Language Models (LLMs), orchestration frameworks, and Python within backend and cloud-based environments. • Collaborate with data scientists, engineers, product managers, and business stakeholders to translate complex challenges into impactful AI solutions that deliver measurable value. • Develop robust, secure, and scalable AI systems, embedding best practices across CI/CD, containerisation, monitoring, governance, and responsible AI principles. • Monitor and optimise deployed models, identifying performance issues, drift, and opportunities for improvement through updates or retraining. • Manage and optimise cloud infrastructure for AI workloads, balancing scalability, performance, security, and cost efficiency. • Create reusable components, libraries, and templates to accelerate future AI initiatives, while contributing to technical documentation, best practices, and knowledge sharing across the AI community. • Support the development of junior engineers through mentoring, code reviews, and collaborative learning. Required Skills • Hands-on experience in machine learning engineering, software engineering, or developing applied AI solutions. • Proven experience delivering Generative AI applications using Large Language Models (LLMs) and orchestration frameworks. • Strong Python programming skills, with experience building within modern backend and cloud-native environments. • Solid understanding of machine learning fundamentals, statistics, and working with complex datasets to support model development, training, fine-tuning, and inference. • Experience with CI/CD, containerisation, MLOps/LLMOps workflows, and monitoring AI models in production, including evaluating performance, safety, and cost efficiency. • Ability to translate complex business challenges into effective AI-driven solutions with measurable impact. • Excellent communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders. • Commitment to developing responsible, transparent, and ethical AI solutions. If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk