51 to 75 of 186 Machine Learning Jobs in the City of London

High-growth infrastructure company focused on delivering large-scale compute, data centre capacity, and power solutions for advanced machine learning workloads. Platforms support leading research and industry teams requiring high-performance computing at significant scale. Fast-paced environment with emphasis on ownership, execution speed, and quality. Culture centred … Bash Familiarity with infrastructure automation and infrastructure-as-code tools Strong technical foundation in computing or related discipline Preferred Experience Experience operating large-scale machine learning or AI-compute workloads Background in multi-tenant distributed systems at scale Hands-on experience with data centre or bare-metal infrastructure ...

enterprise marketing ecosystem. This position operates at the crossroads of marketing, data, and technology, with a strong emphasis on marketing tech data, AI & machine learning, and data workflows. You will play a key role in enhancing platform performance, strengthening integrations, and enabling scalable, data-driven marketing operations. This … sources, including digital, event, and third-party data Ensure seamless data delivery into analytics and reporting environments Collaborate with technical teams to implement AI & ML-driven capabilities such as automation and data enrichment Uphold data quality, governance, and compliance standards across all systems Identify opportunities to improve process efficiency, platform ...

they've built one of the world's most widely used open source data labelling platforms — trusted by over 350,000 data scientists and ML engineers worldwide. Their platform enables enterprises to train, evaluate, and fine-tune AI models using high-quality annotated data, combining powerful software with managed data … company goes to market across the region. You'll run full-cycle enterprise sales processes, selling into technical and senior stakeholders — data scientists, ML engineers, Heads of AI, CTOs, and VP-level buyers. Deal sizes typically range from ~$100k to $120k+, with larger enterprise opportunities up to ~$600k, and sales ...

segmentation, and other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

Collaborate across Arrows’ international network to cross-sell opportunities Experience Minimum of 2 years’ 360 recruitment experience, within emerging technologies such as data, AI, ML or datacentres Proven success recruiting for the US market (perm placements essential) Strong business development and client acquisition skills Track record of exceeding financial … performance targets Knowledge of Data, AI, ML or Cloud technologies https://careers.arrowsgroup.com/Perks and Benefits Holiday – unlimited annual leave and Christmas shutdown Wellbeing – Hybrid working, home office setup budget, private healthcare, EAP with Health Assured, subsidised gym membership High Achiever Incentives – Up to 30% commission, bonuses ...

building a cutting-edge analytics engine used to evaluate performance, surface opportunities, and power smarter decision-making through data products, dashboards, and machine learning. This isn’t just pipeline work, it’s about shaping how data drives strategy. You’ll join a highly collaborative team of Data Engineers, Analytics … Science team building out a Trade Intelligence Analytics platform used by an Electronic Trading Desk and its clients -focusing on trade performance, analytics, and machine learning-driven insights. It’s a really interesting position where you’d be working across the full stack, from building scalable data pipelines ...

fast-growing AI startup building an agentic, real-time decision engine that optimises customer interactions for measurable profit. Our platform blends advanced machine learning, deep learning, and reinforcement optimisation to decide the best action, message, or offer for every customer, automatically and at scale. We operate where … clean, usable UIs for complex products Good understanding of modern front-end engineering practices (components, state management, testing, performance) Genuine interest in AI/ML products and how users interact with them Hands-on experience using AI coding tools (e.g., Codex, Claude, Copilot, Cursor) to build or ship frontend features ...

equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...

equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...

days per week in-office) Salary: Up to £90,000 base + benefits Type: Full-time Overview We’re hiring a Senior AI/ML Engineer to join a fast-growing SaaS business working on large-scale, real-world AI problems. The team processes billions of data points daily … strong ownership, focused on building new AI‐driven product capabilities from early experimentation through to production. Responsibilities Design, prototype, and launch new AI/ML capabilities with clear customer impact. Translate product and customer needs into experiments, POCs, and production solutions. Build and operate scalable, production-grade ML systems. Work ...

systems Evaluate and apply cutting-edge academic research to real-world financial problems Work closely with quant researchers, engineers, and senior stakeholders to embed ML into core decision-making Help build and mentor a growing research team Requirements Published research in peer-reviewed venues such as IEEE, ICML, NeurIPS, ICLR … equivalent Deep expertise in time series modelling - financial data experience strongly preferred Proven end-to-end ML experience: data pipelines, model development, deployment, and monitoring Strong Python and ML engineering skills (PyTorch or JAX) PhD in ML, Statistics, Computer Science, or related field (or equivalent research output) Ability to communicate ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data … Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production ...

initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data … Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production ...

skills across multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation ...

simplify complex technical concepts and present them in a compelling, client-focused narrative that resonates with business needs and drives buy-in. AI/ML Tools & Concepts: Experience with generative AI platforms (e.g., Snowflake Cortex, Chat GPT) and prompt engineering for presales use cases such as content generation, technical … showcasing successful outcomes and strategic insights. Technical Workshops or Training: Participation in advanced workshops or training focused on presales strategies, emerging technologies, AI/ML, or business intelligence tools, demonstrating a commitment to ongoing professional development Mayflower is acting as an Employment Agency in relation to this vacancy ...

such as AWS, Azure, or GCP. Familiarity with containerisation and orchestration technologies (e.g. Docker, Kubernetes). Exposure to MLOps practices or deploying AI/ML models into production environments. Experience working in agile or fast-paced delivery teams . ...

tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture , enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable ...

layer transformations in Databricks using Python and SQL. * Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery * Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. * Contribute to technical documentation and ensure pipelines are maintainable ...

reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate … optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative ...

craft intuitive and highly functional user interfaces. Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows. Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. … specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations ...

Strong experience with Azure, Kubernetes, and cloud-native architecture Proficiency in Python, .NET, or Java Hands-on experience with GenAI/LLMs and machine learning Experience building AI agents/multi-agent systems Knowledge of APIs, event-driven systems, data pipelines, and security best practices Exposure to Power ...

Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive ...

with Python, SQL, able to engage with data teams without coding • Cloud platforms (AWS, Azure, GCP) and modern data stacks (Databricks, Snowflake) • AI/ML-driven platforms, translating capability into business use cases Role Requirements • Background in Solutions Engineering, Technical Consulting, or Customer Success • Experience with data, analytics ...

technical stakeholders Nice to have: Experience with tools like dbt, Airflow, GA4 Exposure to attribution modelling or performance marketing Interest in applying AI/ML within data workflows If you’re someone who enjoys solving ambiguous problems, working with real-world data, and wants to build a strong foundation ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...