26 to 50 of 70 Machine Learning Jobs in the City of Westminster

Quantitative Trading & Research - Quantitative developer in the AI Market Lab, you will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure, creating reliable platforms that shorten the path from raw market data and research prototypes to monitored, resilient production strategies. We are seeking strong talent … engineering, mathematics, or a related technical discipline (or equivalent professional experience). Relevant professional experience in software engineering, quantitative development, low-latency systems, or ML infrastructure. Strong modern C++ skills in data structures, concurrency, memory management, performance profiling, and production debugging. Proficiency in Python and experience building software for quantitative ...

running regular tabletop/purple-team exercises and postmortem improvements. A major focus is driving AI security and internal AI governance: integrating LLMs/ML into SOC triage and anomaly detection, defending AI attack surfaces (agent activity, prompt injection, machine identities), hardening against AI-driven threats (phishing-resistant … similar — used to remove toil, and a track record of expanding coverage without proportional headcount growth. A working understanding of AI and machine learning security: how these systems fail, how they're attacked, and how attackers use them. Demonstrated success working with customers on security reviews, audits, escalations ...

applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval … retrieval augmented generation, orchestration frameworks, and agentic workflows Establish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practices Own budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience ABOUT US J.P. Morgan ...

controls. 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 Practical cloud native experience Experience in Computer ...

Google Inc. is seeking a Senior Data Scientist in London to advance reliability analytics. You will design ML tools and data pipelines, influencing platform reliability and change management across Google Cloud Platform. The role emphasizes collaboration with engineering and product teams to drive data-driven improvements. The Reliability Analytics Team ...

knowledge internally and externallyDrive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coaching and mentoring peers on technical troubleshooting and project executionMinimum Qualifications:3+ years of experience as a software engineer or site reliability engineerProven ...

Kingfisher is seeking a Lead Machine Learning Engineer to spearhead the research and development of ML/AI services within the Group Data Science team. You will trailblaze the development of data science algorithms while building, leading, nurturing and retaining a high-performing data science team across banner ...

lead our MGA pricing strategy from our tech-first London hub. We are completely bypassing legacy processes to apply sophisticated statistical techniques and machine learning to high-frequency data, keeping us steps ahead in the fast-paced small business market. What makes this role different from other technical … current market. Plus the potential to earn an annual bonus based on performance access to tools to support your personal development on our dedicated learning platform. As well as support for your mental health with access to counselling we match what you put into your pension up to five ...

NoSQL). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience using Machine Learning and building solutions. Experience working with systems (e.g., Linux, Unix, Windows). About the job gTech’s Professional Services team takes a creative ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role As we continue to build upon the diversity of our team ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive ...

with the ability to work across technical and business stakeholders and influence without authority. Preferred Qualifications Experience with cloud computing, infrastructure, and AI/ML products or platforms (e.g., AWS, Azure, model gateways, agent frameworks). Technical background or a history of working closely with platform and infrastructure engineering teams. ...

operations and drive our vision forward About the Role We're looking for a Data Scientist to build the Murphy’s brain — the ML that decides who we contact, when, how and how often, to recover the most debt inside hard legal limits. Recovery is a data problem before … hire a lifer who can’t ship — you’ll pick up the domain, the data and the regulation cold, fast. Requirements 2+ years shipping ML that ran in production and moved business metrics. M odels that pick the best next action and measure whether it actually changed the outcome; ranking ...

Proximie Limited is hiring a machine learning engineer to own the training and deployment infrastructure for our production ML models. You will manage the training and inference workloads on AWS SageMaker, build reproducible training runs, and monitor model performance in live hospital environments. The role emphasizes production readiness … scalable systems, and collaboration with ML scientists to push models into real-world healthcare settings. #J-18808-Ljbffr ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Were looking for an analytically-minded Credit & Commercial Manager to lead ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Were looking for a strategic, data-driven Commercial Partnerships Associate ...

Architecture, Data, Fraud, Security and Compliance Data-led decision making across performance, cost and fraud metrics Understanding of fraud prevention approaches (rules engines, tooling, machine learning signals) Experience working in API-first or event-driven environments Operating environment Multi-brand, multi-market complexity High transaction volumes with real ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About The Role Were looking for an analytically-minded Credit Risk Manager to lead ...

will collaborate with engineers and consultants to turn ambitious ideas into production-ready systems. The role requires 7+ years in enterprise AI/ML, cloud experience across AWS, Azure, and GCP, and familiarity with AI governance and MLOps. Hybrid work environment with cutting-edge projects and flexible delivery. #J ...

progress of relevant research communities by producing publications Experience in contributing to a team of applied research scientists and engineers in solving real world ML problems, in a role with emphasis on AI research Experience in developing and debugging in Python Preferred Qualifications Experience in developing real-world applications using ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Reports to: Operations Manager (US Cards & Loans) As a Team Lead … they deliver high-quality, empathetic support and achieve team and individual KPIs (e.g. quality, compliance, productivity, SLAs). Foster a culture of accountability, continuous learning, and best practice, tailoring support and development to the needs of each team member and identifying emerging talent. Conduct regular individual and team performance ...

Applied AI/ML Engineer - Associate at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to contribute to the delivery of end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging … technologies and the best industry practices. You are expected to be involved in the delivery and implementation of those solutions. Our Applied AI/ML team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people ...

automation and software quality assurance. Strong understanding of API testing methodologies and tools. Experience executing functional, integration, regression, and performance testing. Familiarity with AI, machine learning, or generative AI solutions. Experience evaluating AI responses and validating AI-driven functionality. Strong analytical and problem-solving skills. Ability to work ...

will work with a team of researchers and engineers to build production-ready AI solutions, prototype novel approaches, and contribute to real-world ML challenges in the ads domain. The role emphasizes Python-based research and implementation. #J-18808-Ljbffr ...