201 to 225 of 787 Artificial Intelligence Engineering Jobs in the UK

working world. You will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross … threads: set technical direction, mentor engineers, and ensure systems are production‐ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership. EY Grade: Manager (UK) What you’ll do Client‐facing engineering ...

writing high‐quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Practitioner) — delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands‐on depth across the AI engineering stack is essential: Strong general‐purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure ...

operating advanced large language model solutions and contributing to scalable, production-ready data platforms. We’re particularly interested in candidates who combine deep AI engineering knowledge with strong production-level software development skills and an understanding of how to integrate, monitor and evaluate AI systems effectively. The Opportunity … strong Python development skills and significant hands-on experience designing and operating large language models. You will also have: Extensive practical experience within AI engineering, particularly involving large language models. Strong proficiency in Python and production-level software development. Experience using LangSmith, Braintrust, Arize or similar AI observability ...

solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance. Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases. Work closely with AI implementation, governance, and enterprise architecture squads ...

engineering patterns (security, performance, maintainability). Experience with Datadog for complex observability, tracing, and monitoring in AI environments. Familiarity with foundational AI engineering tooling like Pydantic AI, LiteLLM, or LangChain. Are you ready for a career with us? We want to ensure you have the right … identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. *Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with ...

productising, and deploying NCS’s AI platforms and reusable assets across regulated and mission-critical sectors. AIC works at the intersection of deep AI engineering and high-stakes client environments in aviation, land transport, public safety, telecommunications, and government. AIC is not an internal support function. … ambiguity and know how to move from problem framing to working solution. You will use AI as a force multiplier across research, design, engineering, and delivery, while staying accountable for real client outcomes. We are looking for engineers who can demonstrate that they have designed and deployed consequential ...

productising, and deploying NCS’s AI platforms and reusable assets across regulated and mission-critical sectors. AIC works at the intersection of deep AI engineering and high-stakes client environments in aviation, land transport, public safety, telecommunications, and government. AIC is not an internal support function. … ambiguity and know how to move from problem framing to working solution. You will use AI as a force multiplier across research, design, engineering, and delivery, while staying accountable for real client outcomes. We are looking for engineers who can demonstrate that they have designed and deployed consequential ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description As our AI practice scales, we are seeking an experienced AI Architect/Engineer to act as the senior technical … governance into solution designs from the outset. Qualifications To qualify for this role, you must have: Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments. Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design ...

engineering capability responsible for delivering complex AI solutions into enterprise environments. This is a rare opportunity to define how AI engineering is delivered across major organisations while building a high‐performing team from the ground up. This role combines engineering leadership, technical strategy … enough to delivery to influence architecture, engineering quality and client outcomes. Skills and Experience Extensive experience leading software engineering, AI engineering or enterprise architecture teams Proven track record of building and scaling high‐performing engineering organisations Strong knowledge of modern AI technologies ...

acumen and problem-solving skills. The ideal candidate should possess strong knowledge of the Databricks Data Intelligence Platform and the modern data & AI engineering practices, complemented by a keen ability to translate complex business requirements into robust, scalable Data & AI solutions that create trusted data foundations, AI … analytics solutions on the Databricks Platform using Delta Lake, Spark SQL/PySpark, Unity Catalog and Databricks SQL.Deliver solutions across the full data & AI engineering lifecycle, from requirements analysis and solution design through development, testing, deployment, operational readiness and continuous improvement.Work directly with clients and stakeholders to understand ...

design artifacts, developing visualizations and reporting from large data sets, and proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies. Job Responsibilities: Deliver AI/ML projects through the ML development life cycle using Agile methodology Transform business requirements … AI/ML solutions Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking ...

acumen and problem-solving skills. The ideal candidate should possess strong knowledge of the Databricks Data Intelligence Platform and the modern data & AI engineering practices, complemented by a keen ability to translate complex business requirements into robust, scalable Data & AI solutions that create trusted data foundations, AI … solutions on the Databricks Platform using Delta Lake, Spark SQL/PySpark, Unity Catalog and Databricks SQL. Deliver solutions across the full data & AI engineering lifecycle, from requirements analysis and solution design through development, testing, deployment, operational readiness and continuous improvement. Work directly with clients and stakeholders ...

writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure ...

genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high‐quality work and driving forward best practices in software engineering. Stays up to date with ...

that period.RequirementsYou will combine hands-on architecture with senior leadership, owning complex areas of delivery and bringing the best of modern data and AI engineering to public sector and regulated clients.You will have:- Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery- Expertise ...

that period.RequirementsYou will combine hands-on architecture with senior leadership, owning complex areas of delivery and bringing the best of modern data and AI engineering to public sector and regulated clients.You will have:- Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery- Expertise ...

Lead AI Engineer This is an opportunity to join a growing AI function at a business investing heavily in artificial intelligence, automation, and digital transformation. You will play a key role in shaping technical direction, delivering production-grade AI solutions, and influencing how AI is embedded across … ability to engage technical and non-technical stakeholders Experience within enterprise-scale organisations, ideally in regulated environments Exposure to AWS and modern AI engineering practices is highly desirable ...

will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross-sector model gives … threads: set technical direction, mentor engineers, and ensure systems are production-ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership. Shape engineering approaches; engage senior stakeholders; articulate trade-offs; ensure engineering ...

analytics, AI and digital services. This is a rare opportunity to shape a strategic AWS platform from the ground up, establishing the engineering foundations, automation, security controls and operational standards that future teams will build upon. Working within our Platform Engineering team, you’ll design … standards and reusable patterns that make it easier for development teams to adopt AWS Collaborate closely with Architecture, Security, Data Engineering, AI Engineering and application teams to continually improve the developer experience Create a platform that accelerates engineering This role isn't just about ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).Job DescriptionAs our AI practice grows, we are looking for a capable, hands-on AI Engineer to help build and deliver the solutions … based features (prompting, retrieval-augmented generation, and simple agentic workflows) alongside more traditional ML models.Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them.Translate solution designs into clean, well-documented, production-minded code.Contribute to model evaluation, testing, and monitoring.Support ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description As our AI practice grows, we are looking for a capable, hands‐on AI Engineer to help build and deliver … based features (prompting, retrieval‐augmented generation, and simple agentic workflows) alongside more traditional ML models. Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them. Translate solution designs into clean, well‐documented, production‐minded code. Contribute to model evaluation ...

AI Engineer - LLMs, NLP & Market Intelligence Location: London – hybrid, 2+ days a week in our Vauxhall office Employment type: Full-time, permanent Experience: Typically 2–4 years Build AI systems that interpret global markets in real time Permutable is building market intelligence infrastructure that helps financial institutions understand … production. What we’re looking for You will probably have around 2-4 years of professional software engineering, machine learning or AI engineering experience, although we care more about the quality of your experience than the exact number of years. You should have: Excellent Python skills. ...

build and deploy intelligent AI agents, copilots and agentic solutions that deliver measurable business outcomes for our clients. This is a hands‐on engineering role focused on developing production‐ready agentic solutions using Microsoft AI technologies, Databricks AI capabilities and modern software engineering practices. The successful … with expertise in AI agents, orchestration frameworks, enterprise integrations and intelligent automation. The role offers flexibility for candidates from software engineering, AI engineering, agent development, low‐code or automation backgrounds. We are looking for engineers who are passionate about building practical AI solutions that automate work ...

solutions. You will deliver GenAI apps using LLMs, RAG, and tool-using agents on AWS and cloud-native platforms. The role emphasizes modern AI engineering workflows, secure coding, observability, and collaboration with cross-functional teams to turn complex requirements into scalable AI systems. #J-18808-Ljbffr ...

specialist-services platform where every interaction, acquisition and piece of expertise makes the firm smarter, more efficient and easier to scale. The Director, AI Engineering leads the AI Engineering & Data Science function within the unified Tech-Ops operating model, the engineering engine room that … Provisioning to ensure AI-ready data, reusable, governed structured and unstructured data pipelines feeding models, agents and analytics across the Group.Define and enforce AI engineering standards, deployment patterns, integration patterns, testing and evaluation frameworks, and contribute AI/data positions to the Architecture Forum's buy-vs-build ...