10 of 10 Artificial Intelligence Engineering Jobs in Central London

annum + excellent benefits Requirements for Machine Learning Engineer: Strong commercial experience in a Machine Learning Engineering, AI Engineering, Software Engineering or closely related role Strong experience working with Python and the ability to write production-quality code Commercial or substantial project experience working … values a top academic history, so is looking for a 1st or 2:1 in Computer Science, Mathematics, Physics, Engineering, Machine Learning, Artificial Intelligence or another closely related subject with a minimum AAB at A Level, or international equivalent Strong analytical and problem-solving skills Comfortable ...

ensure Engineering teams deliver secure digital products. To manage a centre for AI excellence for practical and ethical values. About Our Client Marie Curie plays a leading role in shaping the end of life system across the UK; driving research, influencing public policy, campaigning for change, and fighting … empower staff members and to provide appropriate support to enable others to succeed. Ability to lead and drive change. Experience establishing or leading AI engineering teams and delivering real-world outcomes with Agentic and Gen AI. Experience in implementing Agile, squad-based delivery teams. Exposure to system ...

technical solution design and architecture decisions, bringing clarity from ambiguous client requirements Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments Lead end‐to‐end solution delivery, from discovery … also being able to lead implementation during delivery Curiosity and motivation to stay current with the latest advancements in GenAI, agentic AI, and AI engineering frameworks Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field Microsoft certified i.e. Azure AI Apps and Agents Developer ...

engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications are a plus. About You Passionate about AI with hands‐on experience applying agentic patterns in real delivery work. Comfortable … software engineering, AI, cloud, and automation. Clear communicator across technical and non‐technical stakeholders. Enjoy mentoring teams and raising overall AI engineering maturity. Continuously explore emerging AI frameworks, tools, and architectural approaches. Your Career Opportunity You will have access to global technical communities, a dedicated career ...

+ Benefits, Training & Bonus Package Full Time | Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant/Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design … technical stakeholders to deliver measurable business value * Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/ ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine … learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers ...

cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines … evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure ...

+ Benefits, Training & Bonus Package Full Time Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant/Senior Consultant to join its growing Data & AI practice click apply for full job details ...

business use cases Work closely with senior data scientists to support project delivery and professional development Contribute to the continuous improvement of AI engineering standards and best practices Support the deployment and monitoring of AI applications on Google Cloud Platform What do you need to thrive? STEM degree … explore new AI frameworks and innovations Interest in cloud-based technologies and AI deployment Commitment to continuous professional development and growth within AI engineering So, whats in it for you? Bonus Schemes A bonus that regularly rewards you for your performance A pension ...

ground, coding, designing, and deploying full-stack AI-driven web applications directly on this AI Platform. You will bridge the gap between complex AI engineering and customer-facing delivery. You will work directly with major enterprise clients to build custom demos, proofs-of-technology, and production-ready applications. … reviews, test customer applications, and resolve technical bottlenecks. Mentor: Guide junior developers on coding standards and system design. Collaborate: Work alongside product and engineering teams to feed customer insights back into the core platform. What You Bring Hands-on Code: At least 2+ years of professional software development ...