176 to 200 of 420 Artificial Intelligence Engineering Jobs in London

capabilities. As a Platform Team Lead (PTL) Gen AI Platforms and Agent Development Kit, you will play a defining role in shaping the core intelligence layer that powers BCG AI solutions globally.This is a rare opportunity to lead at the forefront of AI platform engineering — architecting … large enterprise. At least 5 years in AI and Gen AI related experience.3+ years as Senior Director or Equivalent in software/AI engineering or equivalent.Demonstrated success leading multi-disciplinary teams (engineering, product, architecture, data).Evidence of innovation in building/operationalising AI/GenAI ...

T. Rowe Price Labs’ AI Engineering team in London seeks an experienced Lead Software Engineer to design and deliver production-grade AI systems. You will mentor engineers, shape architecture, and drive scalable AI products across the firm, collaborating with product owners and business stakeholders. Based in London ...

Entity: Technology Job Family Group: IT&S Group Job Description: This role leads AI engineering capability across Upstream and Downstream business domains within bp's central digital delivery organisation. The Principal AI Engineer is responsible for managing a team of AI focused software engineers, owning … delivery of AI-powered solutions from design through to production, and contributing to the broader AI engineering strategy for the function. The role exists to accelerate bp's adoption of applied AI by embedding technical leadership close to business domains, ensuring AI solutions are fit for purpose, scalable ...

build, deploy and scale production AI solutions across industries, collaborating with clients from discovery through delivery. You’ll work at the intersection of AI engineering, architecture and consulting, using tools like Anthropic Claude, Azure, Databricks and Snowflake to create measurable business value while navigating governance and security #J ...

Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data Collaborate with product and other AI engineering teams to set product and technical strategy Keep up with developments and state-of-the-art in AI to determine what is relevant ...

filings, financial reports)Experience with agent orchestration frameworks, tool use patterns, or multi-step AI workflowsThe Opportunity9fin is already the leading platform for legal intelligence in debt capital markets. Our proprietary AI capabilities extract and analyse legal language at scale, and our unique dataset of credit legal documentation delivers … roadmap for AI-powered legal document extraction and covenant analysis, ensuring outputs meet the precision standards required for professional use.Partner with software and AI engineering to define evaluation frameworks for AI outputs in legal contexts, where accuracy, source attribution, and explainability are critical to user trust.Identify opportunities ...

financial reports) Experience with agent orchestration frameworks, tool use patterns, or multi-step AI workflows The Opportunity9fin is already the leading platform for legal intelligence in debt capital markets. Our proprietary AI capabilities extract and analyse legal language at scale, and our unique dataset of credit legal documentation delivers … AI-powered legal document extraction and covenant analysis, ensuring outputs meet the precision standards required for professional use. Partner with software and AI engineering to define evaluation frameworks for AI outputs in legal contexts, where accuracy, source attribution, and explainability are critical to user trust. Identify opportunities ...

like to learn more, you can read aboutour interview process and meet some of the team onour website. Computer Science, Data, AI,Engineering & Technology,Life and Health Sciences, Medicine,Natural Sciences & Mathematics Ready for another challenge? Your pefect start for working abroad. Enterpreneurs wanted! TUM support for prospective ...

readabout our interview process, meet some of theteam, and learn more about Jane Street'sinternship program on our website. Computer Science, Data, AI,Engineering & Technology,Life and Health Sciences, Medicine,Natural Sciences & Mathematics #J-18808-Ljbffr ...

Learning Engineer to help design, deploy and scale the next generation of Conversational AI and data analytics platforms. This is a hands-on engineering position sitting at the intersection of Machine Learning, Generative AI and production engineering , with particular focus on deploying and optimising speech … work directly on technically challenging, production-focused AI systems rather than purely experimental machine learning projects. You will have exposure across the complete AI engineering lifecycle, including model serving, cloud infrastructure, GPU optimisation, MLOps, APIs and real-time conversational technology , within an environment where performance and scalability ...

AI and Machine Learning solutions. This is a hands-on technical leadership role for someone who can operate across AI strategy, architecture and engineering , while still being comfortable getting involved in the technology. The Role You will take technical ownership of AI initiatives from initial concept through … AI Technical Lead, Lead AI Engineer, Generative AI Lead, AI Architect, Principal AI Engineer, Machine Learning Lead, Staff AI Engineer or AI Engineering Lead. You should be comfortable operating at both strategic and hands-on technical levels. This is not a role for someone who only wants ...

Groups. Continuously improve and evolve AI and data solutions based on business outcomes and user feedback. Essential Skills & Experience Strong commercial experience in AI Engineering and/or Data Engineering. Hands-on experience building AI agents and agentic workflows. Strong knowledge of prompt engineering and RAG. … workflow automation and AI-powered business solutions. Understanding of DevOps, testing and monitoring for production AI/data solutions. Strong understanding of data engineering principles and scalable solution design. Ability to work with business stakeholders and translate requirements into technical solutions. Desirable Skills & Experience Experience within financial services ...

insights, and recommendations from both structured and unstructured data. As a Senior engineer, you will provide technical leadership, drive the adoption of modern AI engineering practices, and ensure that AI-powered solutions are robust, scalable, and reliable. Responsibilities Design, develop and maintain Python-based services and data processing … Contribute to the delivery of scalable AI-powered solutions that improve investigative processes through automation and intelligent insights. Help establish and promote modern AI engineering practices, including agentic workflows, prompt engineering and AI-assisted development. Essential Skills Strong Python development experience, including building production-grade services ...

agentic delivery assets and accelerators Stay at the frontier of agentic tooling; new frameworks, model releases, platform updates Build your craft in production AI engineering within a supported, high-growth environment Experience Required Professional engineering experience with hands-on involvement in AI or agentic systems … Financial Services experience is a strong value add Set yourself apart Open source contributions to agentic or LLM tooling Personal projects demonstrating production AI engineering outside of employment Contact centre platform experience (e.g. Genesys, Sierra, Decagon, Parloa, PolyAI, NICE Cognigy, Agentforce Contact Centre and Amazon Connect) EU AI ...

work across teams to design modular, analytics-focused data workflows, model business logic, and deliver actionable insights. This hybrid role combines engineering rigor with analytical depth and business fluency, making it ideal for professionals who thrive at the intersection of data, technology, and strategy.The … ideal candidate is someone who:Has engineering foundations and enjoys building reliable, production-grade analytics solutions.Is comfortable working across data science, AI engineering, and DevOps responsibilities.Understands the principles of analytics development and applies software engineering standard methodologies (modularity, testing, version control) to data workflows.Demonstrates ...

Lloyds Bank plc is seeking a Lead Engineer for Advanced AI Engineering to shape and deliver AI solutions across the Data & AI Unit within the CTO. You will bridge applied research and production delivery, building MVPs and guiding teams in GenAI and responsible AI practices. You will collaborate ...

technical leadership, engaging with clients, and shaping high-level designs to deliver critical business outcomes. The ideal candidate will have strong experience in AI engineering and data platforms, including Databricks and Azure services, along with excellent communication skills and the ability to influence C-level clients. #J ...

phase and requires an experienced AI professional to join their head office team. This role is a rare opportunity to combine hands‐on AI engineering expertise with client consulting, solution delivery, and technical leadership. You’ll play a critical role in shaping solutions for high‐profile organisations across ...

delivering AI-native, cloud-smart solutions for high-impact clients. You don’t just shape strategy—you bring it to life through engineering-first thinking and relentless problem-solving. Your mission: Partner with visionary clients. Translate complexity into clarity. Deliver intelligent outcomes that scale. Here … models into outcomes. ‘Three sentence prompt’ with double quotes is not really a prompt. It's a search. Modern Tech Consultant DNA: Applied AI Engineering, Cloud Engineering, Data Intelligence, Work Modernization, Process modernization — not just the buzzwords, but the real understanding of how these offerings ...

global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder ...

work across teams to design modular, analytics-focused data workflows, model business logic, and deliver actionable insights. This hybrid role combines engineering rigor with analytical depth and business fluency, making it ideal for professionals who thrive at the intersection of data, technology, and strategy. The ideal … candidate is someone who: Has engineering foundations and enjoys building reliable, production-grade analytics solutions. Is comfortable working across data science, AI engineering, and DevOps responsibilities. Understands the principles of analytics development and applies software engineering standard methodologies (modularity, testing, version control) to data ...

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning … support JPMC businesses as they grow. As a Principal Software Engineer at JPMorganChase within CDAO Technology Group in the Applied Innovation (of AI) Engineering team, you will design, develop, deploy, and maintain advanced AI products. You\'ll collaborate with software engineers, data engineers, and data scientists to deliver ...

Responsibilities:Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives.Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs.Mentor and guide a team … managing the machine learning lifecycle.Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.Strong understanding of data preprocessing, feature engineering, and evaluation techniques.Experience working with large, complex datasets and applying statistical analysis.Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).Experience ...

Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide … machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker ...

Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide … machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker ...