926 to 950 of 2,708 Machine Learning Jobs in London

with industry best practices. You will act as a trusted technical advisor, leading the architecture of data platforms that enable advanced analytics, AI/ML workloads, data sharing, and operational reporting. Working across the full project lifecycle, you will define target-state architectures, data models, governance frameworks, and integration patterns … controls, and regulatory compliance. Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation. Future Technology: Guide customers on emerging technologies including AI, ML, GenAI, and advanced analytics leveraging Snowflake and Databricks capabilities. Cloud Experience: Proven experience in multi-cloud architecture across AWS and Azure, designing and integrating modern ...

Snap Inc is seeking a Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team. You will develop ML-products and AI Lenses for millions of Snapchat users, focusing on image/video generation and editing, and large language models. You will collaborate with Product … Software Eng, Lens Content and Data Science teams to prototype, deploy ML models, and iterate through A/B tests and user feedback, staying at the cutting edge of GenAI. #J-18808-Ljbffr ...

through data‐driven engineering practices. Mentor and support engineers across the organisation, promoting platform engineering best practices, technical excellence, and a culture of continuous learning and collaboration. Contribute to the long‐term evolution of the Platform and AI Engineering functions, helping balance operational excellence with innovation while enabling teams … influence technical direction, build consensus, and drive adoption of engineering best practices across multiple teams. Experience coaching and mentoring engineers, fostering technical excellence, continuous learning, and collaborative problem‐solving. Experience working effectively within global, distributed, or multinational engineering organisations. Excellent communication, documentation, and stakeholder engagement skills, with the ability ...

dashboards that enable customers to interact with large‐scale risk and analytics data in real time. You will work across the stack, collaborating with machine learning and backend engineers to ensure interfaces are reliable, secure, and intuitive. The focus is on building scalable UI solutions that meet strict … applications with backend inference APIs, behavioural signals, and analytics servicesImplement secure UI patterns, role‐based access controls, and compliance‐aware data presentationCollaborate with ML engineers to surface model insights and AI capabilities through well‐designed interfacesOwn DevOps responsibilities for front‐end services, including build pipelines, deployment, monitoring, and incident responseContribute ...

your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You'll be assigned a dedicated coach … analysis of collaboration and audit artefacts. Competence with scripting or automation languages (e.g. PowerShell, Python, SQL) for forensic workflow optimisation. Exposure to AI and machine learning applications in forensic and eDiscovery contexts (e.g. triage, clustering, anomaly detection, generative summarisation).Experience integrating forensic outputs within wider eDiscovery, incident response ...

/Azure)Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systemsAbility to build alignment … pipelinesLow-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemonsFamiliarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. Demonstrated ownership of production reliability for high-throughput, latency-sensitive systemsContributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)Skill ...

time Own the technical implementation pattern (RAG pipeline design, prompt/agent orchestration, model integration via APIs) and work directly with data science/ML engineering teams during build. Sit in sprint planning, backlog refinement, and architecture sync ceremonies to ensure designs are buildable within sprint capacity and technical debt … learning concepts. Proven experience as a Solution Architect or similar role in Commercial domain. Practical experience with at least one AI/ML implementation pattern in production Proficiency in software development methodologies, architectural patterns, and best practices. Excellent analytical and problem-solving skills with the ability to lead ...

actionable recommendations that deliver commercial and customer value. Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive … Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering).Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. ...

days holiday pro rata per annum, plus flexible bank holidays, buy/sell holidays, bonus scheme, company funded PMI, EAP, discount scheme & opportunities for learning & development (including financially supported part-time study) The opportunity to work for an organization that has a clear sense of purpose, is values-driven … Risk Poll Global Safety Evidence Centre Work with programme teams to: Shape research questions Interpret findings Apply evidence in practice Support monitoring, evaluation, and learning (MEL) through effective use of data and insight Work collaboratively with internal teams, research partners, and advisory groups Present insight to senior leadership, Board ...

. Familiarity with modern infrastructure paradigms, such as containerization (OpenShift/Kubernetes) and cloud platforms (GCP/AWS) is highly advantageous. Understanding of AI, machine learning, or advanced quantitative analytics applications in financial systems is a strong plus. Outstanding Communication and Collaboration Skills Outstanding communication and collaboration skills … Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable ...

defence capabilities. This is a hands‐on role suited to someone who understands modern security engineering and has a strong interest in AI/ML technologies, LLMs, automation, and risk management. What you’ll be responsible for Design and implement security controls for AI and machine learning solutions … security domains such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response. Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks. Experience securing cloud environments and modern development ...

generative AI gets built and operated responsibly at scale across the firm. You will Hire, structure, and develop a team of AI/ML and agentic software engineers. Set the bar for technical quality and the culture you want them to work in. Partner directly with business partners to understand … Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms, or CI/CD for ML and LLM systems. Experience implementing responsible-AI or AI-governance controls such as guardrails, human-in-the-loop oversight, and audit trails in production. Experience ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the Team In this role, you will play a key part in driving the development … degree in Computer Science, Business Informatics, or a comparable qualification Several years of professional software development experience, ideally with initial experience in AI/ML as well as cloud deployment (GCP or Azure) Very good programming skills in Python or Java/Kotlin, as well as experience with frontend technologies ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the TeamIn this role, you will play a key part in driving the development … completed degree in Computer Science, Business Informatics, or a comparable qualificationSeveral years of professional software development experience, ideally with initial experience in AI/ML as well as cloud deployment (GCP or Azure)Very good programming skills in Python or Java/Kotlin, as well as experience with frontend technologies ...

systems. Provides operational support and leadership for production systems in a \"you-build-it-you-run-it\" culture, including incident response, post-incident learning, and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials … including setting standards and driving adoption across teams. Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services ...

solving and communication skills. Relevant Technologies Candidates should have experience with a subset of the following technologies and be eager to learn others. AI & Machine Learning Frontier LLMs: OpenAI, Anthropic, Gemini, Llama, Mistral, or similar Agent and orchestration frameworks: LangChain, LlamaIndex, Haystack, or similar Retrieval-Augmented Generation … person time fuels collaboration and connection over weekly breakfasts and Friday demos. Additional benefits include: 20 days “work from abroad”, 600EUR/GBP Learning & Development Budget, and other local benefits. Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package). ...

like "help our agent handle conversations in multiple languages") and turn them into scoped, shippable projects. Strong product mindset: Prioritise product thinking over pure ML technique, optimising for customer and business value rather than model performance for its own sake. Build robust evaluation infrastructure : Create and maintain eval suites drawn … bring Professional software engineering experience, with a meaningful focus on Machine Learning, NLP, or applied AI. At this time, we need the ML/applied AI experience as a non-negotiable requirement for this role. Experience shipping products to real, live customers, not just internal tools or prototypes ...

Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job DescriptionThis … InformationBenefits include: Hybrid working model with some flexible working25 days' holidayPrivate Medical Health care via VitalityPension contribution, Life AssuranceProfessional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access ...

within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications What you can expect ðWork to agile … solutions, model risk management platforms, or GRC technologies. Experience with data governance, privacy, cyber security, model risk management, or technology risk disciplines. Knowledge of machine learning and Generative AI technologies, including Large Language Models (LLMs).Possession of relevant certifications such as ISO 42001 Lead Implementer/Auditor, IAPP ...

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 ...

operational support. Produce architecture artefacts, technical designs and implementation roadmaps. Ensure solutions are scalable, maintainable and aligned to enterprise standards. Design agentic AI, GenAI, machine learning and automation solutions integrated with business processes and enterprise systems. Customer Advisory & Consulting Act as a trusted advisor to customer stakeholders, technology … part of our benefits package: Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth. Flexible working: Flexible work arrangements to support your work-life balance. We can’t promise ...

platform performance, and engineering quality. Leading CI/CD practices, deployment processes, and engineering governance. Collaborating with Data Science and AI teams to productionise machine learning outputs. Identifying opportunities to leverage AI-enabled development tools across the engineering lifecycle. Implementing monitoring, validation, and governance frameworks to ensure reliable ...

stories and functional documentation. Strong stakeholder management and communication skills. Experience working within Agile delivery environments. Desirable Experience: Exposure to AI, Generative AI or Machine Learning projects. Experience working alongside Data Engineers, Data Scientists or Analytics teams. Understanding of data pipelines, governance and modern cloud technologies. Industry experience ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In‐depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience ...