1,201 to 1,225 of 2,918 Machine Learning Jobs in London

experience designing and executing performance tests for APIs and GUIs to identify bottlenecks and ensure optimal response times Understands and evaluates AI/ML-based testing tools and frameworks, integrating them into CI/CD pipelines to optimise test automation and defect detection. #J-18808-Ljbffr ...

leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI/ML, with hands‐on experience designing, implementing, testing, and ensuring operational stability of large‐scale enterprise data platforms Advanced skills in one or more programming languages ...

integration technologies Knowledge of DevOps practices, Infrastructure as Code, data governance tools (e.g. Purview), Power BI, other cloud platforms, and exposure to AI/ML use cases would be beneficial Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities ...

timelines required to deliver Zencore engagements and translate these into clear technical proposals. Partner closely with Data Engineers, Cloud Architects, and AI/ML teams to design solutions that connect Zencore’s Cloud, Data, and AI capabilities. Help establish and evolve architectural standards, reusable patterns, and engineering best practices across ...

current with emerging AI tools and frameworks, introducing improvements to team workflows. Required Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands ...

usability. Knowledge of security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). Experience in one of the following specialisms: AI/ML/Data/Cloud/M365/Security Architecture Experience in application architecture, software development and/or infrastructure architecture. Industry experience ...

experience carrying a quota north of $2M ARR with documented attainment history Background in quantum computing, advanced simulation, EDA tools, HPC, or AI/ML infrastructure during its pre-mainstream phase #J-18808-Ljbffr ...

consulting, systems integration, or digital transformation leadership roles Hands-on experience with finance systems (e.g. SAP, Oracle, Netsuite) and automation/AI tools (e.g. ML-based reconciliation, workflow platforms) Familiarity with data architecture, analytics, and business intelligence to support decision-making and measure impact Experience building software that leverages Generative ...

feature changes affect customer experience and business outcomes. Familiarity with AI‐driven products, tools, or workflows, including experience identifying opportunities to apply AI/ML capabilities to solve customer or business problems. Accommodation requests Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need ...

Python (or equivalent) for: Data engineering Automation Advanced analytics use cases Ensure the Data function delivers practical, business-relevant use cases, including: Forecasting improvement (ML-driven where appropriate) Supply chain and operational visibility Financial and operational KPI standardization Act as functional leader of Data expertise, with the expectation to: Guide ...

line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks ...

information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities: Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry ...

hygiene, dependency tracking, and risk management Preferred: 5+ years of product management experience, with at least 2+ years on data, platform, or AI/ML products Preferred: Familiarity with adjacent technologies such as vector databases, semantic search, large language model and retrieval-augmented generation architectures, data catalogs, and lineage tools ...

ambiguous needs into structured data solutions. Can-be-learnts Applied AI – work alongside the Data team on conversation insight, forecasting, and other AI/ML initiatives that directly impact customer outcomes. Domain knowledge – from B2B sales to product management to consumer marketing, you’ll gain exposure to the inner workings ...

track time and bill for hours worked on customer projects. Assist sales and sales engineering on technical prospect calls when required. Leverage AI/ML capabilities to enhance integration frameworks, solution design, system automation, and operational efficiency. Support the responsible use of AI-driven approaches in cloud-based solutions, DevOps ...

world. Responsibilities Develop intuitive, high-performance user experiences on a 1P app using Kotlin/Java and modern Android UI frameworks. Integrate on-device ML and generative AI solutions to deliver proactive and delight user experiences. Translate complex behavioral, psychological, and human challenges into intuitive, highly robust, and privacy-preserving ...

engineering, or technical sales). A degree in a relevant scientific field (e.g. Computer Science, Data Science, Engineering). Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences. Hands-on experience building and deploying AI applications (Python, JavaScript ...

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. Applicants for this role should note ...

approvals, workflow changes, staff roles and change management requirements. TDAs provide both generalist and specialist AI expertise covering the latest developments in AI and ML, as well as best practice in areas such as AI security, privacy, and safety. Where relevant, TDAs will source additional expertise for deployers, depending ...

feedback from operators and clients Build reusable tooling and infrastructure that accelerates future deployments What We Need Hands-on experience in software engineering or ML engineering — through professional roles, internships, or coursework/research projects Strong Python skills and familiarity with libraries like PyTorch, Hugging Face, LangChain, or OpenAI APIs ...

underpinning insurance modernisation (e.g. Azure, AWS, GCP; core insurance/data platforms; API-led integration). Strong grasp of data, analytics, and AI/ML, including AI-enabled and agentic operating models, and how governed AI adoption drives outcomes. Enough hands-on depth to interrogate solution designs, delivery plans ...

Soft Skills: Exceptional interpersonal and leadership skills with a track record of driving consensus across diverse teams. Emerging Tech: Demonstrated experience integrating AI/ML-assisted features and Agentic Workflows to enhance team productivity. WHAT WE OFFER YOU Great Company Culture . We pride ourselves as being ...

improving scalability, robustness, and latency. Optimise databases and index performance where it is the constraint on product behaviour. Working with analysts, product, and the ML team Work directly with the analysts who use our products, turning what they hit in practice into changes in the system. Iterate quickly against ...

prompt injection, data exfiltration, policy violations and other risky AI activity. Design low-latency models, including distilled and small models and rules-plus-ML ensembles. Analyse production telemetry for drift, blind spots, false-positive cost and new attack patterns. Build evaluations and benchmarks for our detection models, and work with … positives or latency measurably without losing detection quality. Production data feeds a regular cycle of model improvements. About you: essential 5+ years in applied ML or data science, with models shipped to production. Strong Python, PyTorch or similar, and solid statistics for evaluation. Hands‐on NLP and LLM work: fine ...

partnership teams to turn new signals into measurable model improvements What We’re Looking For Degree (BS, MS, or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience Deep technical understanding of LLM training and evaluation, with hands‐on experience in areas such … design, data curation, reinforcement learning, or reward design Strong software engineering skills and experience building automated data/evaluation pipelines or large‐scale ML systems A track record of owning high‐impact projects end to end, navigating ambiguity, and adapting quickly as priorities change A highly collaborative, action‐oriented ...