5 of 5 Artificial Intelligence Engineer Jobs in Scotland

heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the … industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies Step Two: Study and take More ❯

Join Us as an AVP AI Platform Engineer – Shape the Future of AI at Barclays. Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap. We're excited to launch a groundbreaking initiative at Barclays - building a next-generation platform that empowers front-office developers (Quants and … Strats) to create high-performance, AI-driven applications. As an AVP AI Platform Engineer, you'll be involved in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on-premises and cloud environments. This is a hands-on engineering role where your expertise will directly influence how we deliver secure, scalable … challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services. To be successful as an AVP AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation More ❯

Location: Erskine, Scotland - Hybrid Security Clearance level: S C Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over. DXC Technology (DXC: NYSE) is the worlds leading independent, end-to-end More ❯

design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI … to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step More ❯

Hands-on experience with RAG pipelines Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Solid understanding of reinforcement learning concepts and tools (Q-learning, policy gradients, RLlib) Azure AI Engineer Associate certification (or willingness to obtain) Bachelor's degree in a relevant field or equivalent combination of education and experience Demonstrated relevant industry experience, including time spent in More ❯