776 to 800 of 2,708 Machine Learning Jobs in London

architectures to executive boards and governance forums Priority SkillAI We are looking for experience across several of the following skills and experience: AI/ML architectural patterns, best practices, and platform technologies Experience designing AI/ML-driven solutions and data lifecycle management Data solution design, selecting the appropriate cloud … Foundational certifications in AWS and/or GCP Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML (e.g., AWS Certified Machine Learning – Specialty) What's in it for youAt Accenture in addition to a competitive basic salary, you will also ...

developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environmentExperience Required:·Strong Python and SQL experience·Applied AI engineering, ML engineering or software engineering background·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Key Responsibilities: Develop Data Engineering solutions ...

reliability, latency, and business outcomes. Qualifications and experience we consider to be essential for the role: 10–15 years across software engineering, AI/ML, data science, or enterprise architecture, with a clear trajectory into senior technical leadership. Proven track record architecting and deploying production-scale AI, from strategy through ...

investment banking environments Strong communication and stakeholder management skills Willingness to work in a hybrid model based in London, UK Exposure to AI/ML-powered tooling in software engineering or DevOps workflows Experience integrating automation or AI tools into CI/CD pipelines or developer workflows Career Stage Senior ...

ambiguous environments. Desirable Experience It would be advantageous if you also have experience with: LLM fine-tuning Agentic AI systems Microservice architecture Go Deep learning/traditional machine learning AI coding and agentic development tools such as Claude Code, Codex or similar What This Role ...

Experience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such … OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. Competitive Salary Bonus Scheme Private Healthcare ...

Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands-on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep … e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering ...

Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability. Lead architecture reviews and provide hands-on technical mentorship to engineering … optimisation mechanisms. Your SkillsExperienced background in software architecture, highlighted by a dedicated and deep focus on designing, scaling, and productionising complex AI/ML systems. Deep expertise in LLM architecture, prompt engineering, and GenAI application design, paired with a strong understanding of multi-agent systems and autonomous decision-making frameworks. ...

Markets is seeking an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems across research and production. You’ll design data pipelines, deploy and monitor models, and build tooling for training, deployment, monitoring, and retraining in a hands-on role. Join … team that bridges data engineering and ML infrastructure, ensuring models run reliably at scale with observable behavior and clear SLAs. #J-18808-Ljbffr ...

enterprise architecture, solution architecture, technology consulting, systems integration, software engineering, data architecture, or related roles.5+ years of experience designing or delivering AI, data science, machine learning, advanced analytics, or intelligent automation solutions.2+ years of hands-on or architecture experience with GenAI, LLMs, RAG, AI agents, orchestration frameworks … equivalent work experience. Preferred Skills: Master's degree in computer science, engineering, data science, AI, or a related field. Cloud, enterprise architecture, AI/ML, cybersecurity, or data platform certifications. Experience with platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, Kubernetes, vector databases ...

data-driven platforms. Familiarity with cloud infrastructure (Azure, AWS, GCP). Experience working in scale-up environments with evolving priorities. Exposure to ML/AI systems or knowledge-based platforms Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch Please note During periods where we receive very high ...

develop a deep understanding of how Multiverse operates across our customer, learner and operational domains - and translate that understanding into rigorous, production-grade ML models that genuinely move the needle. To be successful, you’ll be comfortable getting hands‐on with pipelines and infrastructure - and unafraid of the statistical rigour … predictive, forecasting or optimisation models can have the greatest business impact, and prioritising accordingly Modelling & Statistical Analysis Designing, developing and iterating supervised and unsupervised ML models that predict, forecast and optimise across the business Applying rigorous statistical methods to ensure models are robust, unbiased and genuinely causal wherever causal claims ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

modernization programs. Knowledge of data governance frameworks and regulatory requirements. Familiarity with real-time streaming platforms such as Kafka and Azure Event Hub. Understanding machine learning and advanced analytics platforms. Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related discipline. Industry certifications ...

large or complex datasets. Experience integrating internal and external APIs, services and data sources into applications. Good working knowledge of data, AI and machine learning concepts. Experience building or integrating AI-powered features into web applications, tools or business workflows. Familiarity with generative AI tools and coding assistants ...

rating systems, IFRS9 provisioning, stress testing, climate risk and capital models (Required) Excellent quantitative and analytical skills, with experience applying statistical, econometric and machine learning techniques to solve complex modelling, data and business challenges (Required) Advanced programming skills in SAS, Python, SQL or similar analytical tools (Required) Demonstrated ...

Data Science. 4+ years of experience in engineering, with 2+ years in customer‐facing or field roles. Proven success building and deploying AI/ML or data‐intensive applications in production. Deep full‐stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/ ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. RequirementsKey Responsibilities: Develop Data Engineering solutions ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. RequirementsKey Responsibilities: Develop Data Engineering solutions ...

orchestration frameworks. Key Skills (Prioritised) Cloud Platforms Expertise: Azure (general engineering + PaaS services)Entra ID (identity architecture, authentication flows)AI/ML & Generative AI:Azure OpenAI (deployment, integration, governance)OpenAI SDK, GPT models, embeddings and vector workflowsPrompt engineering with governance and safety controlsProgramming & ScriptingPython (essential)PowerShellGovernance & ComplianceDesigning AI guardrails ...

databases and metadata management platforms Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements (e.g., BCBS 239, GDPR) Experience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment) Understanding of agile and product management methodologies and experience working ...

datasets. Working alongside data scientists, software engineers, architects and consultants, you’ll create scalable cloud-native data solutions that support advanced analytics, AI/ML capabilities and operational intelligence systems. This is an opportunity to work on technically challenging projects where you’ll influence architecture, engineering approaches and the delivery … Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence‐related datasets Experience working within Defence, National Security, Government or other regulated sectors Why Join ...

Trainline is hiring a Senior Machine Learning Engineer in the UK to design and deploy scalable ML models that power search, recommendations, and pricing across our rail platform. You will work with data scientists, software engineers and product managers to deliver high-impact ML solutions. The role requires … strong background in Python, ML libraries, statistics, and experience in productionising models. A hybrid working model with competitive benefits is offered. #J-18808-Ljbffr ...

environment backed by the Alphabet ecosystem, you will pioneer a robust, AI-first security architecture while remaining a velocity enabler for world-class ML researchers and drug discovery teams. What you will doTeam Leadership: Mentor and scale a world-class team of security engineers, fostering a culture of technical excellence … Network Security, Secure SDLC, Security Monitoring, etc. Lead Key Transformation Projects: Lead unique, industry-pioneering technical projects that support the development of frontier ML models and new therapeutics. Cloud & Platform Security through AI: Oversee the security of our cloud infrastructure and platform leveraging AI and agentic workflows, enabling data-driven ...