451 to 475 of 532 Machine Learning Jobs in London

full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity … reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions ...

integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker ...

integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

expand AI professional services offerings, contributing to go-to-market strategies and pre-sales activities including proposals and solution positioning Collaborate with Data Scientists, ML Engineers, and cross-functional teams to deliver end-to-end AI solutions that combine technical excellence with business impact Drive innovation by contributing … internal capability development REQUIREMENTS Proven track record of building and delivering large-scale AI systems from concept to production, with expertise in Generative AI, ML frameworks, and MLOps Strong consulting and advisory skills, with the ability to navigate ambiguity and maintain focus on client success in fast-paced environments Demonstrated ...

require a Data Science Consultant to join their Defence & National Security team. You will design, build, and deploy scalable data pipelines and AI/ML solutions that directly support vital national security projects. In order to be successful, you will have the following experience: Experienced in the Python data stack … ready data engineering pipelines Utilise AWS-based infrastructure and services to deploy and manage data workflows Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems Creative visualisation techniques to design impactful, intuitive data visuals and dashboards Adhere ...

driven initiatives. This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python … Terraform, APIs, CI/CD beneficial) Experience working in Business Intelligence/analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI/ ...

platform and accelerate our transformation. The Opportunity You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models. Your work will be project-driven, and highly visible — with the unique satisfaction … demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini ...

Agentic & Gen AI, Data Science and Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that … combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes ...

Expertise in driving Agile transformation, DevOps maturity, and engineering best practices across global teams. AI & Automation Enablement - Proven experience driving adoption of AI/ML and automation across SDLC, developer productivity, and client-facing platforms. Stakeholder & Front-Office Partnership - Strong ability to collaborate with Sales, Trading, and Quant teams … integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively ...

solutions aligned to strategic business goals. Oversee end-to-end solution delivery across the data and AI lifecycle-from ingestion and modelling to ML development, deployment, and monitoring. Act as Delivery Manager for AIPX , ensuring robust data pipelines and high-quality data products aligned with architectural standards and business needs. … Provide technical leadership across data architecture, cloud infrastructure, and AI/ML capabilities . Collaborate with stakeholders to translate business requirements into actionable technical solutions , manage delivery risks, and prioritise backlogs. Establish and enforce engineering best practices , including DevOps/MLOps, coding standards, testing frameworks, and documentation. Design and deliver ...

client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile You’ll thrive in this role … automation, such as: RPA development (e.g., UiPath, Blue Prism, Automation Anywhere, NICE, ServiceNow, Power Platform) IDP (Intelligent Document Processing) (e.g., Hyperscience, ABBYY, Kofax) NLP, ML, or AI‐enabled automation (e.g., Spacy, Azure Cognitive Services) Low‐code platforms (e.g., Appian, Power Platform, Pega, Dynamics 365) Workflow orchestration Exposure to Agentic ...

LangChain · Semantic Kernel · Microsoft Fabric · Unity Catalog · Python · Terraform · Kubernetes · OpenTelemetry What We're Looking For 5+ years in software, data, and AI/ML with at least 4–5 years as a hands-on architect delivering production AI systems Proven delivery across at least two of: Azure AI Foundry … teams with equal credibility UK based and eligible to work in the UK Nice to Have Databricks certifications (Generative AI Engineer, Data Engineer Professional, ML Professional) AWS certifications (Solutions Architect Pro, ML Specialty, AI Practitioner) Exposure to regulated industries — BFSI, Healthcare, Pharma, Telecom Experience with knowledge graphs, multimodal ...

Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing BI/data ...

across MLOps/LLMOps/AI governance Contribute to reusable frameworks and accelerators What youll need (must-have): Experience as an AI Architect/ML Architect/GenAI Architect Strong expertise in: Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral … Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience in consulting/client-facing roles Exposure to bids, RFPs, or pre-sales Knowledge ...

cohesive platform solutions. Innovation & Emerging Tech: Awareness of trends in platform engineering, such as platform orchestration, internal developer portals, and integration of AI/ML capabilities into platform offerings. Candidates with platform product management experience are encouraged to apply. Ideal candidates will bring a product mindset to platform engineering, with … client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile You’re a strategic thinker ...

experience building scalable distributed systems or data platforms. Fluency in Python, SQL, Java, and modern data processing frameworks. Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required). Proven experience developing monitoring frameworks, observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka … security engineering, IAM principles, encryption, and cloud security controls. Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML systems. In addition Exposure to MLOps, LLMOps, or model lifecycle management. Awareness of model risk and regulatory frameworks (e.g., SS1/23, NIST AI Risk Management ...

derived data products that align with AIPX architecture and performance standards. Technical Leadership: Provide strategic direction across cloud engineering, data architecture, and AI/ML capabilities to ensure solutions are secure, well-governed, and scalable. Engineering Excellence: Establish and enforce best practices for the automated SDLC, including DevOps/MLOps … evaluation of emerging technologies, lead proofs of concept (PoCs), and embed responsible AI principles across all financial solution designs. Required Knowledge & Experience AI/ML Mastery: Strong knowledge of AI techniques and tools, with demonstrated experience applying Gen AI/LLMs to specific financial or corporate use cases. Regulated Delivery ...

Innovation Team is a part of Toluna’s Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches … successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts ...

across API led, event driven and microservices patterns Guide teams on data architecture, domain models, data flows and data contracts See opportunities where AI, ML or GenAI can bring meaningful improvements to optimization, automation or insight generation Partner with senior business and technology interested parties to translate business needs into … engineering teams Desirable criteria: Proven experience in oil trading or biofuels compliance Exposure to optimization or compliance driven environments Practical experience with AI, ML or GenAI Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened ...

process mapping, stakeholder management, and benefits analysis. Proven ability to translate business challenges into technical AI requirements. Technical Skills Working understanding of AI/ML concepts (e.g., LLMs, supervised/unsupervised learning, vector databases, prompt engineering, model evaluation). Ability to interpret technical designs, data schemas, and integration patterns. … agile delivery methodologies. Comfortable coordinating across internal stakeholders, technology teams, and external partners. General Background 8-10 years' experience in business analysis, AI/ML project coordination, consulting, technology, or innovation roles. Experience in financial services, pensions, investment management, or regulated industries. Experience in regulated sectors (pensions, financial services). ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

analytics/reporting environments (Power BI, Adobe Customer Journey Analytics, etc.). Work with the AI Team to identify opportunities to embed AI and ML capabilities across the Marketing stack (e.g., enrichment, workflow automation, routing logic, data cleansing). Partner with IT, Data, Infrastructure, and InfoSec teams to ensure marketing … connectivity. Familiarity with modern marketing technology stacks (CDPs, attribution models, reporting platforms, events/webinar platforms). Exposure to AI capabilities, automation workflows, or ML-enhanced processes preferred. Ability to interpret technical requirements and translate them into scalable workflows. Strong communication skills and comfort working across functional teams, particularly with ...

implementations and innovation -Communicate GenAI potential and technical challenges to engineering teams and C-Level executives, leveraging expertise in GPU based compute infrastructure and ML frameworks -Identify cross-industry patterns and trends to accelerate innovation and represent best practices to customers and partners Working with diverse teams across the organization … within short lead times and with minimum of waste. Work to develop and maintain a highly automated Continuous Delivery pipeline. Your skills and experience ML and using GenAI to solve problems Good experience in Python, NodeJS, ReactJS, Java Agentic Framework experience is an added advantage Experience using LLMs, ML algorithms ...

trade finance? As a Global Solution Architect , you'll be at the forefront of digital transformation-designing innovative solutions that leverage cloud, AI/ML, open banking, and sustainable finance . You'll work with major financial institutions across EMEA, shaping strategies that drive efficiency, compliance, and ESG integration. … technical documentation that highlight the value and future-proofing of our solutions. Stay ahead of trends : Continuously research and apply emerging technologies-AI/ML, blockchain, open banking APIs, instant payments-to deliver innovative solutions that differentiate Finastra. Required Skills & Experience: 10+ years in corporate lending and trade finance within ...