426 to 450 of 787 Artificial Intelligence Engineering Jobs in the UK

GitLab is seeking a Senior Backend Engineer for AI Engineering: AI Coding, working remotely from the United Kingdom. You will design and build the trigger system that connects GitLab events to AI workflows, and contribute to the high-availability platform. You'll collaborate across product, design, and other ...

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 ...

build automated and semi-automated evaluation frameworks, and validate both deterministic software behavior and non-deterministic AI outputs. This role works closely with AI Engineering, Product, Operations, Engineering, business analysts, business owners, and subject matter experts to build quality into AI products from the start … including test coverage, pass rates, defect density, escaped-defect rate, AI accuracy metrics, hallucination rate, evaluation-score trends, and release readiness Partner with AI Engineering to embed testing, monitoring, observability, evaluation, and quality controls into the AI development lifecycle Conduct safety, bias, adversarial, and red-team testing ...

enabled financial crime framework at the forefront of FinTech innovation. Youll work closely with the senior leadership team, and cross-functional teams-including AI, engineering, and product-to embed scalable controls that strengthen trust, meet regulatory standards, and enhance customer experience. What Youll Do: Lead the 1st Line ...

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 ...

Strategy? Have a passion for Architecture? Want to work in a team that is pushing the forefront of the latest technology in the Engineering and AI space? We can offer you this. Slalom is agnostic when it comes to the technology we work with and we support clients … Certified Developer - Associate Experience withstreaming data architecturesand real-time analytics Familiaritywithdata platformssuch asSnowflake, Databricks is a bonus Experience with ML/AI engineering, including building or integrating production-grade machine learning or generative AI solutions. Experience with agentic development patterns, including tool use, workflow orchestration, and evaluation ...

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 ...

client delivery teams, responsible for designing, building, and operating production-grade agentic AI systems on AWS. This role sits at the intersection of AI engineering and cloud architecture, owning the end-to-end implementation of multi-agent pipelines, knowledge bases, and orchestration frameworks using Amazon Bedrock … observability and tracing tooling — CloudWatch, spans, and traces — to support debugging, performance monitoring, and compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function/tool calling patterns Leverage serverless infrastructure — AWS Lambda, DynamoDB, S3 — to build scalable, cost-efficient backends for AI workloads ...

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 ...

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 ...

complete AI lifecycle, from data preparation and experimentation through to deployment, evaluation, monitoring and continuous improvement. You’ll take technical ownership of AI engineering projects, help shape architecture and development standards, and mentor junior engineers while remaining closely involved in delivery. What you’ll be working on: Building … Establishing robust MLOps, experiment tracking and deployment practices Implementing monitoring, guardrails and quality controls for production AI systems Influencing AI architecture, tooling and engineering standards What we’re looking for: 5+ years’ experience across AI, machine learning or data engineering Strong commercial experience with Python ...

Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering to solve real business problems. If you’re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact … GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen ...

Engineer to design, build and operationalise advanced machine learning solutions that directly support UK national security objectives. This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation … hypothesis definition, experimental design, evaluation and iteration, while complying with governance standards Transitioning validated experiments into production-ready ML services, collaborating closely with engineering teams on deployment and monitoring Building scalable ML pipelines using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities ...

capability and is looking for an AI Software Engineer to join its dedicated AI squad. This role sits at the intersection of software engineering and applied AI. Rather than relying heavily on off-the-shelf products, the organisation is building its own enterprise-grade applications and AI solutions … come from a traditional Data Science background. We're particularly interested in Software Engineers who have started building with AI and want AI engineering to become a bigger part of their career. This is an opportunity to join an established software engineering function with a dedicated ...

complexity, volume, and regulatory demands of social housing, public sector property portfolios, and large residential operations. We are headquartered in London, with engineering and operations across the UK and Germany. We are growing the team to expand the platform's coverage across Europe and to integrate AI throughout … rather than working only with engineering teams. Experience and Qualifications 5+ years of professional experience in software engineering, applied AI engineering, or a hybrid solutions and automation role. Experience working alongside non-technical or semi-technical teams in a tech company, scaleup, or comparable ...

chief translator between a client's biggest challenges and our most intelligent, AI-powered solutions. Design AI-native, cloud-forward solutions grounded in process intelligence that drive true value. Replace “nice slides” with “pleasant surprises for clients” via working real outcomes. Lead by example & impact, Not control. At Searce … 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 ...

AI technologies, value clean, reliable solutions, and want to deliver practical, business-focused outcomes. Applicants may have a background in either Data or AI engineering, with a keen interest in driving value from data using modern AI and analytics techniques. As a Data/AI Engineer, you will … making and digital transformation. You will work closely with analysts, engineers, and stakeholders to turn data into reliable, scalable, and impactful solutions. Data Engineering & Development: Design, build, and maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop ...

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 ...

will provide hands‐on technical leadership for the design, delivery and continuous improvement of Breedon’s enterprise data platform. The role will establish engineering standards, guide architectural decisions and build secure, scalable data products using Microsoft Fabric, Azure Databricks and associated Azure services. Working across Data & Analytics, Technology … impart knowledge and support the development of team members Ability to support AI workflows by designing high-performance retrieval pipelines and working with AI engineering teams Job Benefits 25 days holiday plus bank holidays Contributory Pension Scheme Free on-site Parking Holiday Buy Scheme Volunteer Scheme Share Save ...

scalable, cloud hosted AI solutions suitable for a regulated reinsurance environment. The role combines hands on AI and full stack development with strong engineering judgement, ensuring alignment with PL Re engineering standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI … data products, or external services. Collaboration & Knowledge Sharing Work alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned. Act as a bridge between Business & AI experimentation and wider PL Re technology capabilities to accelerate AI adoption ...