76 to 94 of 94 Data Science Jobs in Central London

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OurclientisbuildingthemostadvancedAIplatformintheirmarket.Theyhelptheirclientsservecustomerswithunmatchedspeedandaccuracy. TheyveinvestedheavilyintobuildingtheMLstack,partneredwithleadinguniversities,andtrainedmodelsonmillionsofexpert-taggedimages.Now,theyrescalinggloballyandneedaworld-classLeadDataScientisttohelppushtheboundariesofcomputervision,videoanalysis,andmultimodalLLMswhilesolvingreal-worldchallenges. RoleOverview TheyarelookingforanexperiencedLeadDataScientisttospearheadmachine-learninginitiatives,withparticularfocusoncomputervision,largelanguagemodels,andproductionreadyMLpipelinesinAzure.Youwillactasthetechnicalleadfortheteam,settingdirection,guidingbestpractices,andensuringthesuccessfuldeliveryofhigh-impactAIsolutions. KeyResponsibilities Develop,train,anddeploycomputervisionmodels(objectdetection,imageclassification,segmentation,multi-modallearning) Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML ...

streamline workflows, and support the team with practical AI-enabled solutions from a relatively blank sheet of paper. This is not a pure academic data science role, and it is not a standard corporate graduate seat. The opportunity is much more about ownership, practical build work, and helping ...

currently partnering with a high-growth Data & AI consulting firm that is delivering impactful transformation programs for global enterprise clients across CPG, Retail, Manufacturing, and Automotive . They are looking to hiring for a Sr. Manager/Director – Analytics Consulting role based in London . This is a critical … leadership position for someone who can combine deep technical expertise with strong consulting, solutioning, and client engagement capabilities to drive impactful data and AI-led transformation for enterprise clients . What You’ll Be Driving- Lead digital transformation initiatives powered by Data, AI, and advanced analytics Define ...

Role:DataScientist Location: London(mostlyremote/hybridoptionsavailable) Salary: Uptocirca£65,000 TheRole WearelookingforaDataScientisttodesignanddeploymachinelearningsolutionsforourclient,adataanalyticsandsoftwaredevelopmentcompany,workingonaprojectforahigh-profilefinancialintuitioninitially,withastrongfocusonLargeLanguageModels(LLMs).Youwillworkoncreativecutting-edgeAIapplications,turningdataintoimpactfulsolutions. WhatYouWillDo BuildanddeployMLandLLM-basedsolutions Preparedata,engineerfeatures,andensurequality Fine-tune,evaluate,andoptimiseLLMsandothermodels Developscalabledatapipelinesacrosscloudsystems,writingclean,production-readycode ...

optimise the underlying infrastructure that powers cutting‐edge GenAI and machine learning workloads. This includes large‐scale model deployment, distributed systems design, high‐throughput data processing, and the creation of robust frameworks that enable rapid experimentation, safe iteration, and reliable productionisation of LLM‐ and ML‐driven features. This role … experimentation and automated workflows Optimise and scale distributed systems and vector‐driven architectures Implement robust observability, reliability, and performance engineering practices Collaborate closely with data scientists, ML engineers, and product teams Champion platform best practices, architectural improvements, and automation What You’ll Bring Extensive experience building and deploying distributed ...

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect … recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively ...

stakeholders, design AI-driven architectures, and also contribute hands-on to development and deployment, particularly in AI MLOps environments. This is not a pure data scientist role or a pure BA role but a design + build + deploy role within Payments transformation programs. Key Responsibilities 1. Payments Domain … Develop ML models/AI workflows using Python and relevant frameworks Build APIs and integration layers for embedding AI into payments systems Work with data pipelines (real-time + batch) Implement data preprocessing, feature engineering, and model evaluation 4. AI MLOps & Deployment Set up and manage ML lifecycle ...

Databricks to develop and optimise production ML systems? Are you ready to join a fast-moving AI team where you can shape a core data product? About the company We’re partnering with a fast-growing, London-based behavioural healthcare AI company building large-scale data products … understand what drives patient behaviour. Their core platform combines behavioural science and machine learning to deliver insights used by pharmaceutical organisations across clinical trials and commercial strategy. The team is ~40 globally, operating in a highly collaborative, startup environment with strong technical leadership and real-world impact. The role ...

into real-world deployment? Are you ready to work with cutting-edge AI tooling while solving complex enterprise problems? A global AI and data consultancy is hiring a Senior AI Engineer to help design and deliver production AI systems for enterprise organisations across financial services, energy, and healthcare. … building reliable, production-grade AI systems, combining strong software engineering with applied AI development. You’ll work within cross-functional delivery squads alongside data scientists, engineers, and platform specialists. Role Summary This is a hands-on engineering role focused on designing and deploying LLM-powered systems in production environments. ...

modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group … your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure ...

adoption. The team is small, high-calibre, and working directly with customers on high-impact, real-world problems. This role is a foundational Senior Data Scientist hire, focused on defining how AI systems are evaluated and validated. You will combine deep statistical expertise with product thinking to build robust ...

models across credit, insurance, pricing, and more. Leading model development from the ground up to drive business impact. A great next step for a data scientist who thrives in the modelling space. We’re looking for a Senior Data Scientist with a passion for building risk models. … kind of data scientist who doesn’t just tweak existing models but creates them from scratch, this is your chance to make a real impact! What you’ll be doing This role is all about risk (we can’t stress that enough!). We’re looking for someone technically ...

part in the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver … results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training ...

Hybrid – 2x Days a Week in Office) £80,000-£90,000 Sponsorship - Available The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company … exciting growth phase, working alongside an experienced and data-driven leadership team! The Role You’ll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best ...

Francisco and an expanding EMEA presence. With ~55 employees globally, 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 … models using high-quality annotated data, combining powerful software with managed data services for large organisations building AI at scale. They work with some of the world's most sophisticated teams investing heavily in machine learning and AI development. Grown from $400k ARR in 2021 to ~$10M today ...

Company description Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest ...

role you will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team who are responsible for architecting, and operating the core of the client's Data Analytics platform. … will: Work with both the business teams data scientists and engineers to design, build, optimis click apply for full job details ...

Engineering Experts who match great people with great opportunities. It’s a fractional, flexible role, about 5 minutes a week , where you refer engineers, data scientists, or technical leads from your network to startup roles. When someone you recommend gets hired, you earn a $5k–$10k success fee. … join? Turn your engineering network into a new income stream Help top startups hire world-class technical talent Focus areas: software engineering, data, and AI roles We handle matching, outreach, vetting, and updates No fixed hours, no management, no pressure Who we want Seasoned technical professionals = founders, CTOs ...