101 to 125 of 205 Artificial Intelligence Engineering Jobs in England

Responsibilities Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Lead the technical direction of AI Engineering initiatives Provide technical leadership, mentoring and coaching to AI Engineers across the wider team Help establish engineering standards, best practice … code quality across AI Engineering Collaborate closely with Digital Products, AI, Data & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Help transition AI Proof of Concepts into secure, scalable production solutions Contribute towards ...

Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands‐on leadership role, you will build and scale production‐grade platforms and AI‐enabled products … engineers, shape technical direction, and partner cross‐functionally to turn complex business problems into scalable, secure, and reliable solutions. What You Will Do AI Engineering, Data Science & Intelligent Product Development Lead the design, development, and deployment of machine learning, statistical, and AI‐driven solutions that support automation, prediction ...

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 ...

design and operate production-grade software systems at scale. You will build agentic AI workflows, integrate LLMs into operational tooling, and contribute to AI engineering practices across Citi’s technology hub in India and beyond. You will write production-grade code daily, champion best practices, and collaborate with ...

DESCRIPTION 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 JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus … support JPMC businesses as they grow. As a Principal Software Engineer at the company 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 ...

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 ...

Staff ML Engineer | Agentic AI | ML Engineering | London (3 days per week on-site) | Contract | Inside IR35 We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function. Rather than building AI capability from scratch, the organisation has already … ready AI solutions using common patterns and best practice. This is a Staff Engineer position where you'll shape the technical direction of AI Engineering across the organisation. Responsibilities Defining engineering standards for enterprise AI Driving adoption of Agentic AI across multiple engineering teams ...

execute planning workflows Own the team's delivery roadmap, working closely with product management to prioritise features and manage technical trade‐offs Establish engineering best practices for AI development, including testing strategies, evaluation frameworks, and deployment patterns Lead sprint planning, technical design reviews, and retrospectives to ensure consistent … engineers and build cohesive, productive teams Experience leading teams in fast‐growing startups or enterprise software companies Knowledge of financial planning, analytics, or business intelligence domains Experience with RAG systems, vector databases, and semantic search Familiarity with model fine‐tuning, evaluation, and continuous improvement workflows Background in distributed systems ...

Responsibilities Design and develop AI-enabled Applications & Services Build scalable AI & Machine Learning solutions within a GCP environment Lead the technical direction of AI Engineering initiatives Provide technical leadership, mentoring and coaching to AI Engineers across the wider team Help establish engineering standards, best practice … code quality across AI Engineering Collaborate closely with Digital Products, AI, Data & business stakeholders Support the development of AI Agents and intelligent automation capabilities Drive Engineering best practice across cloud-native AI delivery Help transition AI Proof of Concepts into secure, scalable production solutions Contribute towards ...

senior hands‐on role for someone who can shape AI platforms and production AI solutions, guide delivery teams and help expand AI engineering as a core capability within UBDS. The Role As a Principal AI Platform Engineer at UBDS, you will lead the design and implementation of AI … bids and client architecture discussions Work closely with delivery, account and capability teams to shape AI opportunities Mentor and upskill engineers moving into AI engineering delivery Build reusable engineering patterns, accelerators and reference architectures Support internal AI enablement and automation initiatives across UBDS What ...

team and define what the future of AI looks like on Databricks You will: Engage in multi-disciplinary teams to deliver complex AI, Engineering and Data & Analytics cases on the Databricks platform, becoming a trusted advisor to our clients from data owners and analytic users to C-level …/or Spark SQL and ability to work across structured, semi-structured and unstructured data OR 5+ years ML Engineering or AI Engineering deploying, promoting and serving ML models, building feature stores, building RAG chatbot or other AI systems Hands on, working, knowledge of Databricks ...

Staff ML Engineer | Agentic AI | ML Engineering | London (3 days per week on-site) | Contract | Inside IR35 We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function. Rather than building AI capability from scratch, the organisation has already … ready AI solutions using common patterns and best practice. This is a Staff Engineer position where you'll shape the technical direction of AI Engineering across the organisation. You'll be responsible for Defining engineering standards for enterprise AI Driving adoption of Agentic AI across multiple ...

impact AI-powered video tools in a fast-paced environment. With a hands-on approach, you will collaborate closely with founders and lead AI engineering projects. The ideal candidate should have over 5 years of experience in Applied AI, strong Python skills, and previous exposure to AI systems. ...

checks to strengthen the multidisciplinary delivery team. Alongside the DDaT competencies, given the scale of this programme, hands-on depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks … deployment pipelines, monitoring, and rollback for AI services in production Fine-tuning and parameter-efficient adaptation techniques where appropriate to use case Data engineering for AI: ingestion, cleaning, and lineage across Legacy and multi-cloud sources Infrastructure-as-Code and CI/CD practices adapted for AI workloads ...

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 ...

member of the CIO Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines andMLOpstooling. The roleis responsible forestablishingAI engineering … standards,governanceand best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver measurable business value. About the role Lead AI engineering, MLOps and platform teams, driving high-quality delivery and operational excellence. Define andmaintainengineering standards, AIguardrailsand Responsible AI practices. Oversee model development, deployment, monitoring ...

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 ...

move pilots to production with clear accountability, in a hybrid delivery model. Key responsibilities include defining AI strategy, establishing governance, building the AI engineering and MLOps operating model, scaling pilots into #J-18808-Ljbffr ...

governance, and business stakeholders. Navigating complex and ambiguous problem spaces to identify practical AI opportunities. Providing technical leadership, guidance, and mentoring within the AI engineering function. Contributing to the wider AI strategy and future direction of the capability. Your Skills & Experience Strong commercial experience delivering GenAI solutions into … software engineering fundamentals and experience building scalable applications. Experience making architecture and technology decisions within enterprise organisations. Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts. Experience working with cloud platforms, ideally AWS. Ability to balance innovation with risk, governance ...

/progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Head of Data Science role appeals to you, we want ...

## AI Engineering LeadApplylocations: Londontime type: Full timeposted on: Posted Yesterdayjob requisition id: R5422The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible … York — to establish the operating model for embedded AI delivery on the broking desks.The AI Solutions Group is a small, business-literate engineering team that sits alongside the brokers and embeds AI capability directly into the broking workflow — from the first client conversation through research, execution and booking. ...

will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams … lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. This role sits at the heart of the AI engineering talent market - demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth ...

define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence both within Kainos and across the wider industry. You will lead, mentor, and develop a community of data scientists, AI engineers, and technical … assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. Expertise in data engineering ...

data and AI technologies, helping organisations unlock value from their data and accelerate digital transformation.Whether your background is in Data Engineering, AI Engineering, or both, you'll have the opportunity to design and build scalable solutions that deliver real business impact. As one of our AI ...