101 to 125 of 229 Machine Learning Jobs in the City of London

data. As more of our data supports AI and agentic use cases alongside traditional BI, you’ll help lay that groundwork. This is a learning role for someone technically curious. You’ll be guided throughout, with clear routes to take on more responsibility and grow toward a more senior … schema or dimensional modelling. Exposure to Databricks, Microsoft Fabric, Azure Synapse or Snowflake. Awareness of Power BI or other BI tools. Curiosity about AI, machine learning and agentic technologies. Interest in business needs and developing commercial awareness. Strong attention to detail and a methodical approach to building, testing ...

save thousands of hours. Engineering the cloud infrastructure that keeps us running. Collaborating on solutions that make banking safer and simpler. Utilising AI & Machine Learning to develop great new products. The skills you’ll master By the end of your Masters placement, you’ll be on your ...

apart Master’s degree or MBA in Product Management, Business Administration, or a technical field. Hands-on experience developing or applying AI/ML models, predictive analytics, or generative AI within decision orchestration tools. Proven experience building, leveraging, or automating workflows using AI tools (such as Google Gemini or Workspace ...

Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful ...

clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi … time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business At our Intellectual Property (our client), we believe that ...

deliver compelling commercial proposals aligned with client needs. Solution Design: Contribute to solution design from both a technological perspective and an algorithmic/machine learning perspective , ensuring feasibility and innovation. AI Value Proposition: Play a key role not only in communicating SDG’s AI value proposition but also … similar technical field. Professional Experience: Minimum 5 years of experience in AI, Data, or related fields. Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge ...

Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python … data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged #J-18808-Ljbffr ...

maintainability, and measurable throughput/quality outcomes). Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Demonstrated ability to drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed ...

operate. You could: Explore, clean and prepare data for analysis Support data reconciliation and the development of data pipelines Work with artificial intelligence and machine learning models Help build model features and streamlined business workflows Interpret analytical results and present findings through spreadsheets, visualisation tools, presentations and customer ...

data modelling, data lakes, lakehouses, data warehouses and data integration. Experience with data governance, security, privacy and Microsoft Purview. Understanding of AI/ML and Generative AI data architectures. Proven experience leading technical teams and large-scale transformation programmes. Strong client-facing, communication and stakeholder-management skills. Experience in consulting ...

decisions, and deliverables with strategic objectives and business outcomes. Areas of Specialization Identity Security: Identity and access architecture across workforce, privileged, service, application and machine identities; identity governance, modern authentication, access lifecycle management, conditional access, PAM/PIM, federation, SSO, MFA, identity threat detection, and zero trust identity control … design. AI & Blockchain Architecture: Secure architecture and governance for AI, machine learning, generative AI, agentic solutions, distributed ledger technologies and blockchain-enabled platforms; including model and data protection, AI risk controls, prompt and output security, smart contract assurance, tokenization, wallet/key management, privacy, auditability, regulatory alignment ...

Engineer in a hybrid role based in Bristol/London. You will join a cross-functional team to grow product algorithmic recommendations, evolving ML capabilities across the platform and taking ownership from discovery to production. You will mentor engineers and drive scalable, secure ML systems used by millions … customers daily. You will collaborate with Data Scientists, Product Managers and Backend Engineers, lead end-to-end ML system #J-18808-Ljbffr ...

projects for clients, powered by the latest Google technologies like Gemini, Vertex AI, and BigQuery Grow Your Career: Accenture will continually invest in your learning and growth, supporting you in expanding your tech stack and earning certifications. Be Part of a Vibrant Community: Join a diverse, global Accenture/… other contact center technologies (e.g., Genesys, NICE, Amazon Connect). Multiple Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer). About Google Edge Google Edge is a specialized Accenture team delivering tailored Google Cloud solutions for high-growth mid-market organizations. ...

Tech Stack: Backend: Java, Spring/Springboot, Python Frontend: Vue.js/React Cloud & Ops: AWS, Terraform, CI/CD Databases: Elasticsearch/DynamoDB & PostgreSQL Machine Learning: Data Science models, NLP, Predictive Analysis, Monte Carlo Simulations Requirements: Full UK Right to Work (sponsorship unavailable). ...

natural-language video search, real-time detection and agentic workflows using multimodal large language models and computer vision Design and build scalable APIs connecting machine learning pipelines with edge device fleets Develop user-facing applications using TypeScript and React, including modern tools such as React Query and Tailwind ...

Proven experience as a Data Product Owner, AI Product Owner, Product Manager or Data & AI Consultant . Strong understanding of Generative AI, Agentic AI, Machine Learning and Data Analytics. Experience working with enterprise data platforms and modern analytics environments. Knowledge of Databricks, Data Lakehouse and cloud-based data ...

work in a collaborative and flexible environment. We continue to drive multi-million-pound investments into our products to build advanced analytics solutions, leveraging machine learning, AI and high-capacity data processing capabilities. This role is a balanced working model between home and in our modern and centrally ...

finance and operations stakeholders. Bonus Points If You Have AWS Certified Solutions Architect Professional and/or Specialty certifications in security, networking, data analytics, machine learning or DevOps. Experience with AgentCore, AWS Transform, Kiro, DevOps/Security Agent concepts, Amazon Nova, SageMaker AI or multi‐agent collaboration patterns. ...

system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical and business stakeholders Ability to translate complex technical concepts ...

scope, quality, timelines, risk, and financials; Lead delivery across Google Cloud native platforms, including: Data & Analytics platforms, BigQuery, data pipelines, analytics layers AI & ML solutions (Vertex AI-based workloads, AI enabled data products) Drive Google Cloud delivery best practices, including secure-by-design, scalable, and production-ready architectures Partner closely ...

Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting‐edge technologies like AI, Machine Learning, Generative AI, and Large Language Models ...

Operating Model design, IT/Digital transformation, Enterprise Architecture, and strategic cost reduction. Understanding of digital technologies, including Big Data and predictive analytics, RPA, Machine Learning and AI, and Customer Experience/Omni-channel. Experience working pre- and post-deal with Private Equity firms and/or blue … prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance ...

work effectively within a team. A proactive and inquisitive approach to solving complex problems. Desirable Experience developing predictive or statistical models. Knowledge of machine learning or advanced statistical techniques. Experience with time-series analysis, regression or optimisation. Experience working with real-time or high-volume datasets. A genuine ...

work effectively within a team. A proactive and inquisitive approach to solving complex problems. Desirable Experience developing predictive or statistical models. Knowledge of machine learning or advanced statistical techniques. Experience with time-series analysis, regression or optimisation. Experience working with real-time or high-volume datasets. A genuine ...

development and engineering teams to address security vulnerabilities and improve secure coding practices Assess security risks associated with AI applications, large language models, and machine learning technologies Support the implementation of AI security controls and explore opportunities to enhance cyber defence through automation Produce security metrics and reports ...