51 to 75 of 184 Machine Learning Jobs in the City of London

What you’ll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non‐technical audiences Confidence challenging constructively and influencing senior stakeholders Strong … with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people ...

turn analytics into real commercial decisions. What you’ll be doing Build, validate and improve pricing models for motor and P&C, using ML + statistical approaches Analyse claims, loss ratios and risk drivers to support pricing strategy and optimisation Translate complex analysis into clear recommendations for senior stakeholders Support … Emblem/Earnix ) Telematics/behavioural data exposure Cloud-based analytics If you’ve built pricing models in GI and enjoy blending actuarial and ML approaches, message me for a confidential chat or send your CV for immediate consideration #python #machinelearning #ml #insurance #pricing #careers #motor stuart.daniel@gerrardwhite.com ...

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. ...

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 ...

Role: ML Engineer Type: 12 months Contract Location London, UK(2 days per week) We are looking for a high-caliber AI Engineer to join a global leader in the Insurance and Fintech space. You won't just be building chatbots; you will be designing and orchestrating Autonomous Agentic Systems … privacy. Performance Tuning: Optimize data workflows for maximum scalability and cost-efficiency. Insurance Domain experience is added advantage. Your Technical Toolkit AI/ML: Expert proficiency in Python , PyTorch/TensorFlow, and GenAI frameworks like LangChain, LlamaIndex, or CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone ...

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 ...

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 ...

enterprise software. You have a track record of developing and launching service offerings or products from concept to market success. Experience in AI/ML, data analytics, or digital transformation services is highly desirable. Domain Exposure : Financial Services & Corporates: Experience serving both financial services and corporate clients is essential. ...

logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service … solutions. Our stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm ...

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 ...

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 . ...

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 ...

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 visualisations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation ...

degree in Computer Science, Software Engineering, or a related technical field 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions Strong proficiency in Python , with hands-on experience using FastAPI , REST APIs, and background task orchestration Deep familiarity with agentic frameworks such ...

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 ...

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 ...

iterate, and continuously improve what’s in production WHO WE'RE LOOKING FOR Technical Proficiency: Strong experience in building full-stack applications. AI/ML Experience: Proficiency with machine learning frameworks (e.g., PyTorch, TensorFlow) and LLM-powered workflows. Product Mindset: Ability to translate business problems into technical, user ...

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 ...

cost Bridge the gap between business needs and technical delivery teams 🧠 What They’re Looking For Core Experience Strong background in AI/Machine Learning/Data Science/Solution Architecture Experience in client-facing roles — presales, consulting, or solution engineering Proven ability to shape enterprise-level software … trade-offs Ability to assess use case viability and business value Cloud & Technology Experience across at least two of: AWS (Bedrock, SageMaker) Azure (Azure ML, Azure OpenAI) GCP (Vertex AI) OpenAI ecosystem Plus: Understanding of data engineering and big data concepts Awareness of cloud security, scalability, and cost optimisation (FinOps ...

want to build AI products that directly influence lending and credit decisions? Have you built machine learning models in credit risk and want broader ownership? Are you ready to apply LLMs in real commercial financial products? A global credit analytics business is expanding its AI capability across both ...