176 to 200 of 229 Machine Learning Jobs in the City of London

global clients, from day one. You will work with data scientists, fraud analysts, data engineers and consultants, developing insights, building pipelines, dashboards and ML models in modern cloud environments. #J-18808-Ljbffr ...

Accenture is seeking a Lead and Principal Infrastructure Architect to own end-to-end design of optimized compute infrastructure for large‐scale AI/ML systems, including distributed training environments. You translate business goals into scalable architectures that balance performance, cost, and security while guiding a team of engineers ...

will set direction for a portfolio of high‐impact work and ensure robust, scalable solutions move from concept to production. The role combines strong ML foundations with practical AI approaches, including retrieval, ranking, and generation, requiring collaboration with engineering, product, and cross‐functional partners. #J-18808-Ljbffr ...

really drawn to the zero-to-one phase) Value working with people who arekind,ambitious, andpragmatic Have an interest in infrastructure for AI/ML (direct experience is a bonus, but not required) Thrive in a fast-paced environment with evolving requirements and shifting priorities About the opportunity ...

reports (Power BI, Tableau) that provide actionable insights to operations and leadership. Collaborate with data engineering teams to define data requirements for AI/ML model development. Champion a data-driven culture across the 3PL business. AI & Digital Acceleration Identify, evaluate, and champion AI/ML and automation opportunities across ...

enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness ...

guide cross-functional teams on AI adoption. Must-Haves Candidates must meet the following minimum criteria: Experience: 4+ years in software, data, or ML engineering, including 2+ years building production LLM apps, RAG, or autonomous agents. Python: Expert-level production Python (FastAPI, Pydantic, asyncio, pytest, packaging). Agentic Frameworks: Hands … database AI (e.g., Snowflake Cortex) and agent security/jailbreak defense. Background in Pharmaceutical R&D, clinical development, or another heavily regulated sector. Classical ML experience (scikit-learn, time-series forecasting) and a strong GitHub/project portfolio. Randstad Technologies is acting as an Employment Business in relation to this ...

guide cross-functional teams on AI adoption. Must-Haves Candidates must meet the following minimum criteria: Experience: 4+ years in software, data, or ML engineering, including 2+ years building production LLM apps, RAG, or autonomous agents. Python: Expert-level production Python (FastAPI, Pydantic, asyncio, pytest, packaging). Agentic Frameworks: Hands … database AI (e.g., Snowflake Cortex) and agent security/jailbreak defense. Background in Pharmaceutical R&D, clinical development, or another heavily regulated sector. Classical ML experience (scikit-learn, time-series forecasting) and a strong GitHub/project portfolio. Randstad Technologies is acting as an Employment Business in relation to this ...

ML Systems Engineer Transferable Intelligence Team The Company OctaiPipe is a young, ambitious company with the vision to be the global driving force for the next paradigm of foundational, physical AI that ensures our connected world, and its critical infrastructure, is safe, secure and sustainable. We are growing fast, having … causal inference and root cause analysis models, that train at the edge and transfer between heterogeneous data centre environments. We are looking for an ML Systems Engineer to own the systems engineering behind this. Models are deployed through a central portal that orchestrates what runs on each edge device. ...

ECM Selection in London seeks a full-time RF/AI research specialist to drive development of algorithms for RF signals, AI-enabled problem solving, and concept validation. The role emphasizes rigorous research and collaboration ...

Societies in London (Holborn) seeks a proactive Member of Technical Staff to advance frontier societal foundation models across training, evaluation, and deployment. You will design methods to train models from real-world observations and reimagine ...

Accenture PLC is seeking an experienced AI Infrastructure Architect to design and optimize AI and ML infrastructure across cloud and on‐prem environments. You will build and deploy AI systems, mentor engineers, and drive best practices for InfraOps and MLOps while focusing on performance, cost, and scalability. You will lead ...

Model Development team to advance inland flood catastrophe modeling that supports global risk assessment. The role involves developing, validating, and deploying advanced models, incorporating ML and AI tools, and collaborating with scientists and engineers to deliver robust, reproducible workflows. You will work with geospatial data, HPC environments, and diverse datasets ...

clinical software marketing. Experience working with NHS procurement teams. SaaS or marketplace platform marketing. Startup experience building marketing from scratch. Understanding of AI/ML-based products. Strong thought leadership and content strategy experience. Why Join Zenrox Ground-level role with significant equity Shape the companys brand and marketing vision ...

production-grade agentic commerce systems for global enterprise clients. You are responsible for defining the overall system architecture, selecting and governing AI/ML and platform technologies, and ensuring solutions are scalable, secure, and embedded into live enterprise commerce environments. You will partner closely with development, DevOps, data engineering … commerce pursuits Engage C-suite stakeholders and grow engineering talent within the practice What You Need Must Have 8+ years in AI/ML systems, with demonstrable experience designing and delivering Generative AI and agentic AI systems in production 4+ years enterprise commerce delivery on one or more of: Salesforce ...

Experience working with modern Microsoft Fabric and Azure technologies, such as Synapse, Data Factory, Azure Data Lake Storage (Gen2), Purview, Cosmos DB, OpenAI, Azure ML, and AI Foundry Solid understanding of software engineering concepts, with hands‐on experience using Python, Scala or PySpark, data modelling techniques, database technologies … Some of the best things about working at Avanade Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times) Exceptional learning and development, including a minimum of 80 hours per year for training and paid certifications Real‐time access to global technical expertise and specialist ...

Databricks notebooks, jobs, and infrastructure Work with data engineers on performance optimization, cost control, and platform capabilities MLOps & AI Platform (20%) Build ML model deployment pipelines using Azure ML, Databricks MLflow, or both Implement model versioning, experiment tracking, and model registry patterns Establish inference endpoints (batch and real‐time) with … proper monitoring and governance Create reusable ML pipeline templates and infrastructure‐as‐code modules Integrate AI services (Azure OpenAI, Cognitive Services) into platform offerings Implement responsible AI guardrails: model monitoring, bias detection, explainability DevSecOps & Platform Enablement (10%) Creation of tools, features and dashboards for the developer platform Build CI/ ...

reports (Power BI, Tableau) that provide actionable insights to operations and leadership. Collaborate with data engineering teams to define data requirements for AI/ML model development. Champion a data-driven culture across the 3PL business. Identify, evaluate, and champion AI/ML and automation opportunities across the programme ...

related discipline — or equivalent professional experience Preferred Skills and Experience Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus) Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face/open‐source AI ecosystem Experience with image understanding and OCR Working knowledge of policy‐as‐code (OPA/… need to thrive and evolve. You’ll develop in‐demand skills to grow your career and achieve your ambitions with access to cutting‐edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands‐on experiences. And through it all, you’ll be part ...

efficiency and effectiveness Champion agile delivery practices and continuous improvement, establishing effective governance routines (RAID, integrated plans, executive updates) and fostering a culture of learning and innovation within the team Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards. …/CD practices for data/platform delivery (policy-as-code, automated testing, vulnerability scanning, artifact management, environment promotion). Experience enabling analytics/ML ecosystems (e.g., curated datasets, feature pipelines) and partnering with data science/analytics teams. Relevant certifications (PMP, SAFe, Scrum, AWS/Azure) or experience with ...

bring AI capabilities to users. Communicate system capabilities and limitations clearly to non-technical stakeholders and support user adoption and training. Share learning, contribute to code reviews and help build the team’s AI engineering knowledge. WHAT SUCCESS LOOKS LIKE In the first six months, you will work with … engineering capacity. THE TYPE OF PERSON WE NEED IN THIS ROLE Essential Around three or more years' experience in software engineering, AI or ML engineering or a closely related role, with evidence of delivering and maintaining software used by real users. Hands-on experience building applications that use LLMs, either ...

financial industry, specifically in Back Office solutions Experience working with Sales, Account Management, Product and Technology teams. An awareness of Artificial Intelligence and Machine Learning. An awareness of SaaS capabilities (IBM, AWS, Azure, GCP, etc.) Collaboration skills including working in complex matrix organizations. Generic Skills/Competencies Excellent communication … Encouraging professional development opportunities is a core part of our culture. Broadridge provides educational opportunities, including formal classes, training programs and events. To enable learning in our hybrid working model, Broadridge has redesigned all development programs for 100% virtual delivery. Our associates have access to 8,500+ online courses ...

role, you will own and support the development of our data orchestration and processing pipeline. You will build apps and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services. You will join the Data Intelligence Team , whose goal is to provide … ML-enriched data for downstream tasks and ensure user data privacy. You‘ll have the opportunity to shape our technical direction, architecture processes and culture. What you will be doing Write Python applications that are resilient, robust, and integrate well with other apps in a service architecture. Furthering Developer Experience ...

leading university in the UK is seeking a full-time permanent Lecturer/Senior Lecturer in Artificial Intelligence and Machine Learning. This position is ideal for candidates with a PhD and a strong academic background in statistics or data science. The role involves teaching, research, and collaboration with industry ...

technologies. Experience across customer, marketing, commercial, web or product analytics. Strong understanding of CX, customer data and digital analytics. Experience leading AI/ML POCs, MVPs and production‐grade solutions. Proven experience in project, programme and delivery management, leading multidisciplinary teams and managing competing priorities. Strong stakeholder management skills, with … growth and identifying new opportunities within existing client relationships. Excellent communication, presentation and data storytelling skills. A strong interest in emerging developments across AI, ML, GenAI and Agentic AI. Experience across Consumer & Retail, Energy & Utilities, Telecommunications or Public Sector would be a bonus. What makes this role different? The role ...