976 to 1,000 of 1,178 Data Science Jobs in London

Content Production team to scope, prioritize, and execute initiatives in partnership with Product and Design Coordinate cross-functional contributions from product managers, engineers, data scientists, and content teams across regions — keeping content workstreams aligned, unblocked, and moving at pace, and building consensus when priorities compete Stay ...

usable product. This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects. The position is predominantly office ...

success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative ...

that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and the company to turn emerging GenAI capabilities into durable platform primitives. Shape the future … next generation of AI-powered products, agents, automation, and personalization. We’re excited about you because you have... BSc, MSc, or PhD in Computer Science or equivalent 3+ years of industry experience in software engineering Strong backend engineering fundamentals, especially in Python and distributed systems. Experience building production services ...

experienced Machine Learning Engineer to develop cutting-edge AI, Machine Learning and Generative AI solutions that deliver real-world impact. Working alongside Data Scientists, Software Engineers and stakeholders, you'll help shape and deploy scalable ML solutions, taking projects from experimentation through to production while helping organisations unlock … Scikit-learn or XGBoost Knowledge of AWS cloud services including SageMaker, Lambda and S3 Experience with MLOps tools such as MLflow, Weights & Biases or Data Version Control Experience designing, testing and evaluating machine learning experiments Knowledge of Generative AI, LLMs, prompt engineering and RAG architectures Experience with LLMOps tools ...

Senior Machine Learning Engineer Department: Data & AI Employment Type: Permanent - Full Time Location: UK - London Description Insurance isn't the first industry most engineers think of when they imagine cutting-edge AI work. That's exactly why this role is interesting. CFC's Data & AI unit is building … systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We're using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart ...

largest and most demanding organisations on the planet to build the next generation of AI-powered enterprise applications. You will work directly with data scientists, software engineers, and subject matter experts to define new analytics capabilities that give our customers the information they need to make decisions under pressure … product improvement.Work closely with product management and engineering to improve the overall quality of C3 AI software. Qualifications MSc or Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study. 5+ years of professional software development experience with object-oriented programming languages. Strong ...

performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning …/CD). Proven track record of delivering complex technical projects on time with high quality Advanced degree (Master\'s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field Hands-on experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone ...

Engineer to design, develop, and deploy production-ready machine learning solutions that make a genuine impact across defence, government, and national security. Working alongside Data Scientists, Software Engineers, and AI specialists, you'll take projects from experimentation through to production, leveraging modern MLOps and LLMOps practices … Experience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3. Strong understanding of MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC). Experience developing LLM or Generative AI applications, including RAG architectures and prompt engineering. Knowledge of LLMOps frameworks such as LangChain ...

experienced AI Engineer to work at the forefront of artificial intelligence innovation, developing cutting‐edge solutions that combine machine learning, Generative AI, and advanced data capabilities. You will have the opportunity to influence the direction of AI initiatives from the ground up, working across the full AI lifecycle from … agentic AI. Build AI‐powered applications using Large Language Models (LLMs), orchestration frameworks, and Python within backend and cloud‐based environments. Collaborate with data scientists, engineers, product managers, and business stakeholders to translate complex challenges into impactful AI solutions that deliver measurable value. Develop robust, secure, and scalable ...

platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company’s data and fueled by WRITER’s enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth … development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging ...

/Week Onsite) Type: Contract Inside IR35 Exp: 5 to 10 Years A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven Note: Investment banking … required. Key Responsibilities Backend Development (Python) Build APIs and services using Python frameworks (Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta ...

responsible for designing, deploying and optimising machine learning models, LLM‐powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering … deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool‐calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/ ...

Head of Learning & Development (Global) London, UK About Datatonic Datatonic is a leading global data and AI consultancy, driving business transformation for the world's most ambitious brands. As a premier Google Cloud Partner, we combine cutting-edge technology with top-tier talent to deliver high-impact solutions across … Cloud Data Engineering, Analytics, and Advanced Machine Learning/Generative AI. We don't just implement technology; we foster a continuous learning culture. We are looking for a visionary, commercial, and deeply strategic Head of L&D to own our global learning ecosystem, scaling our internal technical excellence ...

/CD, monitoring, alerting, and disaster recovery; Develop MLOps capabilities with Terraform and AWS infrastructure; Support ML governance for hundreds of models; Build data engineering solutions for distributed processing at terabyte scale; Prove the value of new methodologies and algorithms across cross-team domains; Estimate and measure impact; Mentor … junior members in experiment design. Требования Extensive experience with end-to-end distributed data systems, especially ML-centric systems; Previous experience as a Data Scientist in a large-scale product team or business; Excellent Python and Software Engineering knowledge; Ability to work with Java when needed; Demonstrable experience ...

Description Managing Consultant – Data & AI Location- London 2-3x a week Salary- Competitive & Negotiable DOE Job ID- 13094 Are you an experienced Data & AI consultant who can combine strong technical expertise with strategic leadership, client management and team development? We’re looking for a Managing Consultant with … circa 7 years’ relevant experience to lead complex Data & AI engagements, shape client strategy and help organisations turn data and emerging AI technologies into measurable business value. This is a role for someone who is technically confident and credible, but who can also step back from the detail ...

machine learning in financial services. You will lead innovative projects that deliver real business value, working closely with talented colleagues across Product, Engineering, Data, Risk, Compliance, and Operations. We offer opportunities for growth, hands-on technical challenges, and the chance to make a meaningful impact. Your leadership and expertise … modelling, experimentation, and deployment architecture Unblock teams on complex technical issues with hands-on support Build, coach, and develop a high-performing team of data scientists, business analysts, and engineers Establish repeatable practices for data quality, evaluation, deployment, and monitoring Define and deliver the Applied AI/ ...

systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers and PMs, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have … disciplinary solutions into play. What You’ll Bring: 5+ years of experience in a high‐impact, production environment as a software engineer Strong computer science fundamentals - data structures, algorithms, OOP, threading, multiprocessing, etc. Clean and concise coding style Solid experience with Python Experience working in Linux environment Experience ...

London The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. … battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 80+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance ...

success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi‐disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high‐impact features – we favour a highly iterative ...

models to detect financial crime and fraud, while protecting genuine customers and optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part … contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs Adapt quickly to changing fraud ...

infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance. Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases. Implement automated systems for continuous training, validation … performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage. Qualifications Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3+ years of experience working with machine learning and artificial intelligence technology. Strong understanding of core ...

etc.). Experience integrating generative Artificial Intelligence (AI) tools or Large Language Model (LLM) interfaces into workflows. Preferred qualifications: Experience in data infrastructure and analytics, software experimentation systems, or both. Familiarity with AI/ML infrastructure. Excellent communication skills (e.g,, written, verbal). Strong cross-functional and cross-organizational … collaboration skills, especially with engineering and data science. Adept at using AI tools to amplify Product Manager (PM) impact. Responsibilities: Own and drive roadmap and delivery for offline data infrastructure supporting Home and Health. Improve data access for subs/growth, agentic access, etc. including logging, observability ...

Data Idols is recruiting a Senior Data Scientist to develop next-generation recommendation engines, conversational AI experiences, and personalization models for a large-scale digital platform. You will design, build and deploy production-grade ML models powering highly personalised customer experiences, including recommendation algorithms, retrieval systems ...

Software Engineer Build and scale APIs and data layers for cryptocurrency crime prevention and risk understanding. Location: London Job Tags: Software About The Role The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global … other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. We are building the data platform for blockchain ...