51 to 75 of 189 Machine Learning Jobs in the City of London

About the Role Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI … investigative mindset is key. Have experience with basic data engineering, such as building core tables or writing data pipelines in production, and with machine learning principles and execution. Basic software development skills are a plus as this role writes productionised code. Have experience scaling and automating processes, especially ...

through their full lifecycle, from deployment to live operation and support - Ensure systems are supportable, secure, monitored and reliable in production - Configure and operate machine learning workloads in production, focusing on running models rather than training - Monitor system performance, identify issues and troubleshoot problems in live environments - Work … infrastructure-as-code tools such as Terraform - Confidence taking responsibility for live systems and outcomes MLOps experience is highly attractive, particularly operating AI or machine learning models in production. The focus is on operating models, not training them. In Return You'll work on platforms that support ...

regulatory compliance. Support GDPR compliance activities, including Data Protection Impact Assessments (DPIAs) and governance of data used within our data estate, and AI and machine learning solutions. Act as the primary point of contact for data-related regulatory and governance matters. Define policies and standards for third-party … highly regulated sectors. Understanding of Responsible AI principles, AI governance frameworks and the risks associated with AI-enabled solutions. Experience supporting governance requirements for machine learning and advanced analytics initiatives. Knowledge of SRA data handling obligations, and insurer/corporate client data-sharing requirements are desirable ...

London) or remote within the UK Up to £160,000 per annum plus stock options Python | Django | FastAPI | AWS | Rust | Postgres | Event-Driven Architecture | Machine Learning Principal Engineer - We're working with a leading fintech scale-up that's transforming how small businesses access finance. Backed … teams and influenced product direction. Experience working with complex domain models and evolving codebases. Bonus skills include : Python, Django, PostgreSQL, event-driven data systems, machine learning familiarity and frontend awareness. Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate ...

Role We are seeking a highly motivated Computer Vision Engineer with a strong background in Deep Learning to join our AI/ML team. You will focus on developing, training, and optimizing models for computer vision applications, working with large-scale image/video datasets, and deploying cutting-edge … Artificial Intelligence , or related field. 2+ years of hands-on experience in deep learning model development and training. Strong proficiency with Python and ML frameworks ( PyTorch , TensorFlow , or Keras ). Solid understanding of CNNs, and ViTs Experience with dataset preparation, augmentation, and preprocessing for computer vision. Strong knowledge ...

Overview We are seeking Freelance Facilitators to deliver our exceptional virtual education experiences. Application Instructions: Our industry is filled with tech buzzwords (e.g., AI, machine learning, blockchain). Show us how you would explain a buzzword to an audience who understands the concepts, but may not have practical … Facilitator at Decoded, you will be responsible for: Workshop Preparation Adequately preparing for scheduled workshops to ensure consistent excellence. Reviewing exercises and learning materials before each session. Learning about your learners and their businesses. Familiarize yourself with the course structure and content, proactively addressing any knowledge gaps. Engaging ...

standards, and emerging risk practices, and translate them into actionable program enhancements. You’ll need to have: 10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI. 4+ years of experience directly focused …/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability ...

HKT. We welcome candidates from any location suitable for these working hours. SPECIFIC ROLES & RESPONSIBILITIES Specifically, you will work on: Teaching our learning content to groups of APAC-based adult learners via virtual workshops Honing your skills as an educator and building your knowledge of andragogy and teaching theory … offer them practical and pastoral guidance) As a Teacher, you will be responsible for: Workshop Preparation Reviewing exercises and other learning materials before a session Learning about your learners and the businesses they work for Familiarising yourself with the course structure and content, proactively filling gaps in your ...

within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims, finance), ensuring ...

machine learning models for an established international platform across the UK and Canadian markets. Key Responsibilities Maintain, retrain, and troubleshoot existing live ML models (credit, recommendation, and ranking logic). Monitor model health and drift, ensuring operational stability without needing to rebuild underlying architectures. Monitor the UK/… Analytics within B2C, FinTech, Consumer Tech, or E-Commerce . Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines. Production ML: Proven expertise in retraining, monitoring, and debugging live ML models. BAU Operator: High autonomy to own daily operations and deliver under tight deadlines. Cloud ...

London is seeking a Senior Machine Learning Engineer to build production-grade AI agents and scalable ML-powered services. You will design, implement, and monitor agentic systems that automate complex underwriting decisions, collaborating with data scientists and software engineers in a fast-paced Data & AI unit. The role ...

East for in‐person sessions. When applying please bear in mind the following: We work in an area flooded with tech buzzwords (e.g. AI, machine learning, blockchain) — in your application show us how you would explain a buzz‐wordy term to a room full of people that … specific clients and industry sectors Acting on feedback from peers, learners and the Decoded team SPECIFIC ROLES & RESPONSIBILITIES Workshop Preparation Reviewing exercises and other learning materials before a session Learning about your learners and the businesses they work for Familiarising yourself with the course structure and content, proactively ...

technology into secure, production-ready solutions. This is an opportunity to work directly with clients, translating complex business challenges into applications that combine traditional machine learning, Generative AI and agentic workflows. You’ll work across the full application lifecycle, from early prototypes and MVPs through to testing, deployment ...

experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience with AWS, Azure, or GCP Strong knowledge of data architecture, DevOps, and automation tooling Experience engaging ...

Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...

prompting. An understanding of point in time data is a strong plus Also desirable: experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant or similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data science/statistics ...

advanced analytics solutions into production. Strong Financial Services experience across banking, insurance or capital markets. Technical credibility across data engineering, data platforms, ML or Generative AI. Experience leading and developing high-performing technical/consulting teams. Strong consulting and commercial experience, including business development and selling work. Experience engaging senior ...

development SQL, databases & data platforms Data pipelines & ETL/ELT APIs & backend engineering CI/CD & production systems Analytics & modern data platforms AI/ML and emerging AI technologies It's a strong opportunity for someone early in their career who wants to develop into a well-rounded Full Stack ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks. Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack. A proven track record architecting and designing scalable solutions that ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You’ll get: A learning journey that’s made ...

data,transactional insights & fraud indicators from partnerships Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc. Utilise the latest cloud based technologies and analytical tooling to support test-and-learn champion/… potential impact to our clients (i.e. addressing the "why" behind our decision making) What could set you apart Experience of developing AI/ML based fraud solutions and models Day to day use of G-Suite tooling, GCP and VertexAI Experience of working in a credit reference agency and/ ...

develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. Associate Consultant – AI Strategy & Transformation ZS is a global management consulting and technology … ambiguous business challenges using strategic problem-solving frameworks. Conduct market, technology and competitive intelligence research to uncover actionable insights. Partner closely with data scientists, machine learning engineers, software developers and business leaders. Translate business requirements into AI-enabled solutions and ensure alignment between technical and strategic objectives. Build ...

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 ...

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 ...

professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within energy ...