51 to 75 of 142 Machine Learning Jobs in the City of London

teams - Evaluate new technologies and tools - Support and mentor colleagues within a collaborative environment About You: - 5+ years' experience in data, analytics, AI or machine learning - Strong technical skills (Python, SQL, data pipelines) - Experience with AI technologies (e.g. LLMs, vector databases, Azure/OpenAI tools) - Proven ability ...

highly experienced AI Lead who combines deep technical expertise with team leadership. In this role, you will design, build, and maintain AI/ML capabilities, models, and LLM‐powered solutions that power our products and customer experiences. You will lead a squad of AI engineers and data scientists, ensuring high … role, with approximately 70% focused on technical delivery and 30% on team leadership and process optimisation. What you’ll be doing Deliver AI/ML Capabilities Design, build, and deploy scalable AI/ML models, APIs, and LLM‐based solutions (e.g. agents, chatbots) Ensure solutions are secure, reproducible, and aligned ...

projects AI & Automation Development Design and implement Python-based automation scripts for keyword research, rank tracking, backlink analysis and competitor monitoring Integrate AI/ML models (e.g. NLP for content optimisation, clustering for keyword grouping) into SEO workflows Build APIs and data pipelines to connect SEO tools, analytics platforms … link-building strategies Familiarity with Google Search Console, Google Analytics and major SEO tools (Ahrefs, SEMrush, Screaming Frog, Search Atlas, Surfer SEO) AI & Machine Learning Experience applying NLP, clustering or predictive modelling to SEO or marketing data Familiarity with frameworks like scikit-learn, spaCy, TensorFlow or Hugging Face ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...

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 ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

APIs, and event‐driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications ...

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 … with backend inference APIs, behavioural signals, and analytics services Implement secure UI patterns, role‐based access controls, and compliance‐aware data presentation Collaborate with ML engineers to surface model insights and AI capabilities through well‐designed interfaces Own DevOps responsibilities for front‐end services, including build pipelines, deployment, monitoring ...

networking . Ability to take ownership of production systems and drive continuous improvement initiatives. Desirable: Microsoft Azure experience. Experience deploying and supporting AI/ML applications in production environments. Exposure to Large Language Models (LLMs), NLP, or agent-based systems. Experience with observability and monitoring tools such as Sentry , Prometheus ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...

Understanding of data architecture concepts, including data warehousing and data lakes. Exposure to cloud computing environments such as Microsoft Azure. Exposure to predictive analytics, machine learning, AI-enabled analytics or advanced statistical methods. Experience working with customer, commercial, subscription, product usage or behavioural datasets. Behaviors and Mindset: Demonstrates … reliable. Works collaboratively across Customer Insights, Product, Commercial, Technology and Data teams to build a more joined-up view of the customer. Shares learning openly, seeks input from others and helps translate business questions into clear analytical approaches. Acts with agility by adapting to changing priorities, working through ambiguity ...

want to build AI and data products that are actually deployed into client environments? Have you worked on ML projects and wondered how they create commercial impact at scale? Are you ready to combine Data Science, consulting, and AI transformation in one role? A globally recognised strategy consultancy is hiring … client-facing engagements and internal innovation projects. **3 years of experience in data science/analytics required** Key Responsibilities • Build and deploy Python-based ML and analytics solutions • Support AI transformation and workflow automation initiatives • Develop reusable data products and internal tools • Present findings and demos to technical ...

contribute to the development of software to streamline daily processes and assist front office with system trading, using a variety of techniques including machine learning and artificial intelligence. Alongside the automation elements, you will also be responsible for the daily analysis of the trading activities (PnL and position ...

predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management) Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex ...

solutions Familiarity with sanctions screening obligations and techniques Strong analytics experience, and can articulate and visualize complex data/analyses to stakeholders Exposure to machine learning/AI (for unusual behavior detection) Prior Transaction Banking/Commercial Banking or Financial Crimes experience Job Info Job Identification ...

operate as a business, rather than being treated as a standalone specialism. You should understand the fundamentals of Generative AI, agentic AI, machine learning and AI-enabled automation sufficiently to manage programmes where these capabilities form part of the solution. Experience delivering AI, automation or data-enabled transformation ...

environments with a continuous improvement mindset Experience leading change across technology, process or ways of working Hands‐on experience using or introducing AI or ML tools within engineering teams Solid understanding of cloud‐native architecture, AWS and distributed systems Proficiency in at least one modern programming language Strong grasp ...

parts of the supply chain—enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment—facilitating smarter everyday business decisions … where necessary training to juniors and/or new members of the team acting as the voice of experience, whilst still being open to learning from others. The SeniorEngineer exemplifies our company values and is a consistent high performer delivering value on the most complex areas on a daily ...

support population health management and analytics. This is an excellent opportunity to contribute to products that help improve healthcare outcomes through advanced analytics and machine learning. This is initially a 2-month contract , with the potential for extension or a longer-term opportunity for high-performing consultants. Key Responsibilities … PySpark (essential). Experience designing and building analytics/data pipelines. Strong SQL skills and experience working with large datasets. Experience developing and deploying machine learning models. Experience collaborating with cross-functional engineering and product teams. Highly Desirable Experience working with NHS, healthcare, or population health data. Population ...

safe environment for all teammates to succeed. Preferred/Nice‐to‐Have Skills Experience designing large‐scale data platforms. Experience designing AI and machine learning platforms. Experience designing container platforms. #LI-ME1 Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/ ...

needs and business plans that extend to our global markets. Empower Business Initiatives and facilitate decision making from both a user-centric perspective and machine learning capability. Minimum Qualifications: Recent 5+ years of experience in product management (mobile apps and web apps) in creating/mapping customer user ...

delivery of data quality programs, ensuring master data accuracy, consistency, and alignment with regulatory standards (FDA, EMA). Drive AI and machine learning pilot projects aimed at enhancing data analytics, cleansing, and predictive maintenance of master data. Manage UI development projects to improve user experience and accessibility ...

authentication, decentralized identity frameworks, and adaptive access controls. Collaborate with the Senior Architect Information Security and lead the implementation of identity governance automation, leveraging machine learning for anomaly detection and remediation. Ensure seamless integration of multi-factor authentication (MFA) with biometric and mobile device capabilities to improve both ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity ...