1,901 to 1,925 of 2,223 Data Science Jobs in London

timePosted: 2026-06-29What you will do We are rebuilding our fraud detection systems from the ground up, and we are looking for data scientists who want the full mandate to do it right, from raw data to production model, at a scale that affects hundreds … demanding problem spaces at Klarna. You will build best-in-class machine learning systems from the ground up, owning the complete pipeline from raw data through feature engineering, model design, training, and real-time production deployment. A central part of this role is converting some of Klarna's existing ...

entirely new network for the world's money.For everyone, everywhere.More about our mission and what we offer.Job DescriptionWe are seeking a talented Lead Data Scientist with expertise in Liquidity management modelling to join our dynamic Treasury team. This role focuses on driving our models and optimising their impact … right time and make sure we keep the liquidity risk under control. You will work closely with cross-functional teams to develop data-driven solutions that enhance our liquidity management and operational efficiency.Here’s how you’ll be contributing:Liquidity management Work closely with Treasury operations to develop supply ...

London A leading business is expanding its team and looking to bring in several Machine Learning Engineers . You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong … software engineering fundamentals, hands-on data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning ...

London A leading business is expanding its team and looking to bring in several Machine Learning Engineers . You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong … software engineering fundamentals, hands-on data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning ...

will build secure, scalable platforms and applications that accelerate experimentation while meeting high engineering standards. You will partner closely with AI Researchers and Data Scientists to move prototypes into optimized, reliable solutions. You will grow your influence by mentoring others and helping shape team practices. You will join … team that values collaboration, inclusion, and continuous improvement. As a Software Engineer III in AI and Machine Learning Data Platforms, you will deliver critical technology solutions that support the firm’s business objectives. You will work directly with AI Research and the Machine Learning Center of Excellence to advance ...

debt markets — the world’s largest asset class at over $145 trillion.Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value … frameworks; you will use and contribute to these rather than build them from scratch.You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high-autonomy role with real ...

hackajob is partnering directly with Dunnhumby to hire for this role. dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close ...

leads marketplace end-to-end—from matching homeowners to trades, to monetisation and the Opportunity Board. You will set the vision, work with Data Science and engineering, and drive pricing, packaging, and growth with a two-sided marketplace. If you bring extensive senior product experience and a track ...

core product area end to end. You will manage the backlog, run discovery, write clear specs, and collaborate with Engineering, Design, Data Science, Risk and commercial teams to ship products customers love and the business can rely on. This hands-on, high-impact role exists in a fast ...

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 … 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 to provide ...

routing optimisation in London. You’ll lead a high‐impact squad, shape technical direction, and drive scalable, production‐grade systems. You’ll work with data scientists, product, and operations, mentoring engineers and raising engineering standards while delivering real‐world improvements to the city’s delivery network. #J-18808-Ljbffr ...

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 SkillsExtensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related … review, CI/CD).Proven track record of delivering complex technical projects on time with high qualityDesirableAdvanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative fieldHands-on experience with cloud-native ML infrastructure platformsKnowledge of vector databases (Pinecone, Weaviate, Qdrant ...

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 ...

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 ...

Principal Software Engineer, you will bring strong software design and engineering expertise, building reliable systems and production-ready services that turn ideas and data-driven insights into scalable solutions. You’ll work in small, multidisciplinary crews alongside data scientists, product managers, and domain experts, owning the full lifecycle … priorities evolve; bring clarity, structure, and momentum to complex engagements. Lead and mentor across disciplines: Provide technical direction, coach engineers, and collaborate with product, data, and security partners to deliver as one team. Lead complex delivery end-to-end: Coordinate multiple workstreams, manage dependencies, and raise ...