76 to 100 of 193 Machine Learning Jobs in the City of London

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks. Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack. A proven track record architecting and designing scalable solutions that ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You’ll get: A learning journey that’s made ...

Engineering team is responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm. The current data landscape reflects IG’s growth: a combination of GCP-native capabilities, on-premises systems … with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion ...

Services SQL and Data Management Technologies AI and Intelligent Product Ecosystems Business Intelligence and Reporting Platforms API and Integration Platforms Event-Driven Architectures Machine Learning Solutions Intelligent Workflow and Decisioning Platforms Partner with Programme Leads, Product Managers, Architects, Delivery Managers, and Quality Leadership teams. Govern supplier quality performance ...

handle high-pressure production incidentsDesiredExperience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysisProven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutionsHands-on experience with containerization technologies such as Docker and Kubernetes, including cluster ...

pressures production incidents Desired Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes ...

professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within energy ...

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 ...

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 ...

MLflow, CI/CD, Terraform or Databricks certification would be a bonus. About 7Dxperts 7Dxperts helps organisations solve complex challenges using Data, Spatial and Machine Learning technologies. We focus on building practical, targeted solutions that make a measurable difference. What we offer Databricks training and upskilling. Support towards ...

maintainability. Helping shape data strategy, engineering standards and best practices around governance and data democratisation. Supporting the adoption of advanced analytics, AI and machine learning capabilities. Developing Infrastructure as Code alongside Cloud Engineering. Ensuring solutions meet data privacy, security and compliance requirements. Working collaboratively within an Agile environment ...

fingerprinting, device intelligence, public key infrastructure (PKI), computer networking, and device authentication. Experience with ThreatMetrix® solutions or similar fraud and identity platforms. Familiarity with machine learning, predictive analytics, statistical modeling, scorecard development, or graph analytics. Experience developing fraud detection strategies and risk-based decisioning frameworks. Knowledge ...

/or R, including the ability to read, understand, and adapt code written by others, gained through research, academic, or applied settings Experience applying machine learning, natural language processing, or other computational methods to health, biomedical, or research problems Clear scientific writing and communication skills, e.g. through research ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting role, you will be expected ...

responsible AI, and Microsoft 365 Copilot. Excellent communication, leadership, consulting, and stakeholder management skills. Desirable Skills Experience with Copilot Studio, Azure DevOps, AI/ML frameworks, and SharePoint agent development. Relevant Microsoft certifications such as MS-900, MS-700, MS-100, or AI-102. Why join? The Microsoft Partner offers ...

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 ...

have the opportunity to work across areas including: Solution and Enterprise Architecture Application and Integration Architecture Data Architecture and Engineering Cloud and Infrastructure AI, Machine Learning and GenAI Cyber Security Digital and technology transformation You'll help define current-state and target-state architectures, technology roadmaps, integration patterns … governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients and senior stakeholders Experience with industry platforms such ...

financial services, banking, insurance or similar environments. Deep knowledge of modern AI technologies, including Generative AI, Large Language Models (LLMs), AI assistants and machine learning concepts. Hands-on experience with Microsoft AI technologies, including Azure AI, Microsoft Copilot, and familiarity with platforms such as Google Gemini, Vertex ...

proprietary content, massive datasets, domain expertise, and advanced technology creates a unique environment for Data Scientists to work on problems where AI and machine learning can have a tangible impact on science, healthcare, and patient outcomes. U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials ...

understanding of LLMs, RAG, embeddings, vector databases and orchestration Experience taking AI solutions from concept through to production Strong Python and modern AI/ML engineering knowledge Experience with major cloud platforms such as AWS, Azure or GCP Strong architecture and system-design capability Experience communicating complex technical concepts ...

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 ...

Machine Learning to lead a small Data Science team and shape AI adoption across the company’s SaaS products. You will drive ML/AI initiatives from development through to production, collaborating with clients and internal teams to deploy impactful AI capabilities. The role offers hybrid working with ...

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 ...

Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline. Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting. Hands-on experience with modern AI technologies including LLMs … Proficiency in Chinese Mandarin is required to collaborate with China headquarters on product discussions, technical design, and cross-functional initiatives. Self-driven with strong learning agility, curiosity for emerging AI technologies, and the ability to thrive in a fast-paced customer-facing environment. Equal Employment Opportunity at Tencent ...