901 to 925 of 3,603 Data Science Jobs in London

the community. So, what’s your possible? This is more than just a job; it’s a mission. We are seeking an experienced Elasticsearch Platforms Engineer to join our Data Platforms Infrastructure team. This role is pivotal in supporting and maintaining our Elastic Cloud Enterprise (ECE) environment, designing and deploying Elastic solutions for Observability and Search, and ensuring the … deployments. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an … issues related to Elasticsearch clusters, indices, and ECE infrastructure. 2. Design and Deployment: - Design scalable and efficient Elasticsearch solutions for Observability and Search use cases. - Implement best practices for data indexing, storage, and retrieval. - Work with stakeholders to understand requirements and translate them into technical solutions. 3. Security, Privacy, and Compliance: - Implement and enforce security measures to protect Elasticsearch More ❯

systems to enable the take up of more renewable power, electrifying fleets for cleaner air, and providing clean, portable power including repurposed electric vehicle batteries. Our proprietary software and data analysis optimises operational performance for our customers to reduce emissions and costs. Since we began in 2017, we’ve raised over £2 billion in debt and equity funding and … vehicle projects. In our rapidly growing company, adaptable, highly motivated and talented individuals will be given significant responsibility early-on. The Portable Power Analyst will work closely with our data, sales, engineering and operational teams to successfully optimise the design, operations and customer experience of Portable Power projects. Typical objectives include modelling the operation of batteries on off-grid … development, electrical design teams and directly with customers to simulate electrification feasibility of portable power systems. Conduct cost-benefit analyses on system specification through to validating performance from operating data in a range of usage scenarios. Work with the business development team to develop automated reporting capabilities to meet internal and customer KPI reporting requirements Take ownership of models More ❯

Grafana, ELK Stack, or Datadog. Experience with security best practices, monitoring, and incident response. Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR). Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance … leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK More ❯

Ideally, you will have: Technical Expertise: Microsoft technologies (.NET/C#, SQL Server, Azure) Azure services (particularly Azure Service Bus and cloud-native design patterns). System design, architecture, data modelling, and integration patterns. Ideally experienced with containerisation (Docker), CI/CD pipelines, version control (Git), and DevOps practices. Ideally with knowledge of financial systems, regulatory frameworks, and secure … days ago London, England, United Kingdom 2 months ago Lead Software Engineer - EU Natural Gas & Power London, England, United Kingdom 1 month ago Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 1 week ago London, England, United Kingdom 2 months ago SC Cleared Technical Lead - Programme Transformation London, England, United Kingdom 1 day More ❯

novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we're looking for a brilliant Principal Machine Learning Engineer to join us on our mission to fight for the … about on our blog: Let's have an Espresso: MLOps at Cleo. Integrating our models with LLMs hosted by OpenAI, Anthropic, GCP, AWS Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users' financial health Driving the adoption of appropriate state-of-the-art techniques for recommendation, message … ML Engineers have taken part in over the last year: Designed and implemented AI agents to analyse and extract insights from users' transactional data. Developed models to interpret transactional data, enhancing the understanding of users' finances. Think about your bank statement-how often do you not recognise a transaction on first review? Created contextual intent classifiers to understand user More ❯

you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Take ownership of designing, developing, and shipping high-quality software solutions for our SaaS platform. … through unnecessary processes to get things done. - Effectively communicate technical decisions and outcomes, providing clarity and direction for both technical and non-technical stakeholders. Requirements: - A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. - 5+ years of experience building software in a fast-paced, results-driven environment—preferably with SaaS platforms. … how to ship code quickly, with a focus on continuous delivery. - Proven ability to work cross-functionally and push for action across product, design, and business teams. - A strong, data-driven mindset that allows you to make quick decisions and measure the success of your work effectively. - Clear, concise communicator with the ability to explain technical issues to anyone More ❯

to apply for the Senior DevOps Engineer role at MASS Analytics Job Title: Senior DevOps Engineer Job Location: London Reports to: Software Engineering Director Key interactions: R&D Department, Data Science Department, Marketing Department and Sales Department. Role Description: Are you passionate about driving innovation and performance at scale? As a Senior DevOps Engineer at MASS Analytics, you More ❯

firms. You demonstrate an interest in good software design principles and familiarity with collaborative software development processes in a dynamic and demanding environment. You have strong software design and data science skills. You are a team player with excellent oral and written communication skills for interaction with trading, technology, and control functions. You demonstrate a proactive attitude with More ❯

have the opportunity to work on some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems. Minimum Qualifications Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or Master’s degree with 2+ years of relevant industry experience; or Bachelor’s degree with 4+ years of relevant industry experience. … United Kingdom 1 day ago London, England, United Kingdom 1 week ago Python Software Engineer : 1+ year experience needed £80-150k London, England, United Kingdom 3 days ago Data Scientist - AI/ML, Python, Scripting, Cyber Security London, England, United Kingdom 5 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into More ❯

is the core technology crucial to 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, analytical approach. We’re …/Github, and Kotlin/Java to deliver a high-quality solution meeting user requirements and industry standards. MAIN REQUIREMENTS: Python skills, capable of contributing/building packages. Developing data applications, analytics applications, data manipulation and transformation pipelines. Use of common python frameworks and libraries: pandas, poetry, flask, pydantic, etc. Experience in cloud-based environments, preferably GCP or … Azure. GOOD TO HAVE: Experience using GCP suite incl. BigQuery and Storage Buckets. Experience with data/task pipeline schedulers Prefect, Airflow, Luigi. Experience developing data/analytics applications, reporting and visualisations (PowerBI, Streamlit, Plotly, Tableau). Experience with data quality and control projects. Handling exceptions and interventions on data flows. JOB RESPONSIBILITIES: Work with the More ❯

is seeking a BI Lead with at least 8 years of experience in BI and Data. The BI Lead is responsible for designing and delivering impactful visual representations of data that drive strategic insights and support informed decision-making within the organisation. This role involves leading a team of analysts, ensuring the effective use of data visualisation tools … and collaborating within agile delivery teams to meet business objectives. The BI Lead will champion best practices in data visualisation and foster a culture of data-driven decision-making across the organisation. Responsibilities Lead, mentor and develop a team of analysts focused on data visualisation, fostering a collaborative and innovative team environment Ensure the use of best … practices in data visualisation techniques and tools to create intuitive and compelling outputs Actively participate in Agile delivery teams, contributing to delivery planning, sprint reviews and retrospectives Collaborate with cross-functional teams to understand their data visualisation needs and deliver solutions in an iterative manner Ensure the integrity, accuracy, and consistency of data by conducting regular data More ❯

at Reed.co.uk Reed.co.uk is looking for a Senior Marketing Analyst to join their BI & Analytics team in Holborn, London. Overview If you're passionate about solving marketing problems, translating data into compelling stories, and delivering meaningful insights, this role is for you. As a Senior Marketing Analyst, you will provide intelligence and expert recommendations to the marketing team, enabling … strategic decision-making. You will own digital marketing analytics, delivering actionable insights to optimise performance and drive impact. Using web analytics and third-party data, you will enhance marketing effectiveness and ROI. This role involves collaboration across Marketing, Product, Engineering and Data Science. You will engage with senior stakeholders and drive meaningful change across the business. What You … Brand, and CRM marketing. Lead a team of Marketing Analysts to produce actionable insights. Provide analysis on marketing performance, considering customer segmentation and ROI to enhance campaign effectiveness. Create data visualisations and KPI dashboards that simplify data for different audiences. Work collaboratively with internal teams and external media agency partners. Address marketing analytical queries, transforming data into More ❯

risk management for years to come. As a Quant Developer, you will work at the intersection of quantitative research, machine learning, and software engineering. You'll collaborate with quants, data scientists, and portfolio managers to design and implement scalable systems for data ingestion, model training, and real-time signal deployment. Key Responsibilities Design and develop robust, high-performance … systems for AI/ML model development and deployment. Collaborate with quantitative researchers to translate trading strategies into production-ready code. Build and maintain data pipelines for structured and unstructured financial data. Implement backtesting frameworks and simulation environments. Optimise model inference and execution latency for real-time trading. Contribute to architectural decisions and technology stack selection for the greenfield … and deployment. Experience with quantitative finance, including time series analysis, alpha modelling, or risk analytics. Familiarity with cloud infrastructure (e.g., AWS, GCP) and containerisation (Docker, Kubernetes). Proficiency with data engineering tools Experience working in fast-paced, collaborative environments with agile methodologies. Nice to Have Prior experience in a hedge fund, prop trading firm, or investment bank. Exposure to More ❯

ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalise the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. … ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit. Where applicable, capture data drift, concept drift, model performance degradation signals and ensure model retrain. Implement CI/CD pipelines for ML models and automate the deployment. Maintain relevant documentation. Requirements: Bachelor's … as a business analyst, with a focus on capturing and documenting business requirements and business processes. Strong understanding of banking and financial industry practices and regulations. Solid knowledge of Data Management process, data analysis and modeling techniques. Experience in monetary policy analysis (nice to have) Experience in time series database analysis Familiarity with business intelligence tools and concepts. More ❯

ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalise the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. … ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future models to benefit. Where applicable, capture data drift, concept drift, model performance degradation signals and ensure model retrain. Implement CI/CD pipelines for ML models and automate the deployment. Maintain relevant documentation. Requirements: Bachelor's … as a business analyst, with a focus on capturing and documenting business requirements and business processes. Strong understanding of banking and financial industry practices and regulations. Solid knowledge of Data Management process, data analysis and modeling techniques. Experience in monetary policy analysis (nice to have) Experience in time series database analysis Familiarity with business intelligence tools and concepts. More ❯

a consultative approach to both internal and external customers to inform our strategy and tactics, and whilst you understand the value of instinct, you'll have sound thinking and data to back it up. Your communication methods need be second to none with international customers. Understanding the bigger picture - You will understand where parts of the exiting solution apply … value proposition. Continuous improvement across the team and wider organisation. Supporting the user acceptance testing process to make sure that implementation meets the needs of the customers. Collaborating with data scientists, machine learning engineers, and AI specialists to define AI-driven solutions that align with business needs. Gathering and analysing requirements for AI-powered features Understanding AI model lifecycle … management, including data collection, model training, evaluation, and deployment considerations. Assessing ethical and regulatory implications of AI solutions to ensure compliance with education standards. Defining success metrics and KPIs to evaluate the effectiveness of AI-driven features and ensuring alignment with business objectives. Experience Experience defining software requirements for complex products, either as a business analyst or equivalent role More ❯

a cross-functional squad alongside Product Managers, Designers, and Engineers, you’ll apply your expertise to help unlock Cleo’s next phase of growth. You will leverage rich user data and sophisticated analytical techniques to see your insights move key metrics like conversion and retention. This is a high-impact role where your work will shape the strategic direction … minded analyst who thrives on experimentation, can navigate ambiguity, and is hungry to scale a mission-driven product to millions more people. You’ll also sit within the wider data function here at Cleo; a hotshot chapter of 65 Data Scientists, Product Analysts, and Analytic Engineers with significant industry experience who are at the heart of everything we … a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of a product. Proactively explore our product and funnel data to identify moments of drop-off, untapped segments, pricing inefficiencies, and opportunities to boost revenue or LTV Design and analyse A/B and multivariate tests to rapidly validate More ❯

about building beautifully crafted, high-performance user interfaces. You’ll play a key role in shaping the user experience of innovative software solutions, working closely with backend developers and data scientists to bring complex ideas to life. We’re looking for someone who thrives on turning concepts into seamless, scalable applications using Next.js (React) and integrating with RESTful APIs. … stakeholders to understand business needs and develop technical strategies Lead user interface development using HTML, CSS, and JavaScript frameworks like NextJS (React) to implement complex user interfaces with dynamic data fetching and form logic Design user-friendly interactions and interfaces using tools such as Figma Facilitate UX/UI requirements elicitation sessions with clients Interact with RESTful APIs for … and Drop, SSE, WebSockets, etc. Expertise in HTML, CSS, Javascript with the ability to write complex user interfaces using these languages. This includes knowledge of programming concepts, design patterns,, data structures, algorithms, and UI components or HTML DOM Strong understanding of the browser box model, CSS flexbox, grid and layering and layout Version controlling code with Git Effective communication More ❯

priority, developing bespoke solutions that fuse human instinct with analytical insights, enabling clients to navigate complexity and make informed decisions. We combine a diverse blend of industry specialists, actuaries, data scientists, developers, and other experts who work collaboratively to deliver bespoke solutions. From innovative technology that helps scheme trustees and sponsors make better pension investment and funding decisions to … because the platform uses machine learning to analyse large, complex datasets in the cloud. As a cloud-native application, it relies on many interconnected services working seamlessly together—from data storage and compute to APIs and visualisation. Ensuring the platform is reliable, performant, and scalable across multiple clients is essential—not just for user experience, but also for managing … DevOps Engineer embedded within the Insurance Analytics team, you’ll have the opportunity to collaborate with LCP’s central Platforms team. You'll also work closely with developers, actuaries, data scientists and QA engineers in a highly collaborative environment. Your focus will be on automating infrastructure, improving CI/CD efficiency, setting up and optimising monitoring, and helping the More ❯

mission and your development practices and process. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, and a broader range of stakeholders distributed across the UK, Germany, Netherlands, and the USA. Responsibilities: Researching the applicability of cutting-edge AI technology in our features. Keeping More ❯

AI Engineer, you will play a pivotal role in designing, developing, and deploying AI applications that support and enhance our clients’ AI-driven initiatives. You will work closely with data scientists, software engineers, and domain experts to understand business needs and translate them into scalable, sustainable AI solutions. This role involves working for government clients so all candidates need More ❯

mission and your development practices and process. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, and a broader range of stakeholders distributed across the UK, Germany, Netherlands, and the USA. Responsibilities Researching the applicability of cutting-edge AI technology in our features. Keeping More ❯

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product … launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and … see your efforts affect products and people on a regular basis. Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision. Define the processes needed to achieve operational excellence in all areas, including project management and system reliability. Build a high-quality BI and Data More ❯

Data Science Manager – Lloyd’s Market, Insurance, Digital-Follow, Machine Learning – London – Permanent - £120,000-£140,000 Base + Bonus + Benefits One of our leading Lloyd’s Market clients is seeking a Data Science Manager to join their team on a permanent basis. This is a high-impact role focused on the ownership, development and … enhancement of Data Science projects—such as Algorithmic Risk Ranking, Digital-Follow, Machine Learning Profitability Analysis and Pricing. You will play a crucial role in shaping the organisation’s data science capabilities, supporting underwriting teams with actionable insights, improving risk selection and profitability, and driving automation and efficiency across departments. This role is integral to the … development and deployment of advanced analytics solutions and plays a strategic part in the delivery of data-driven decision making. You will work closely with underwriters, data engineers, actuaries, and technology teams to capture, and implement business and technical requirements—delivering robust data science use cases that are embedded into dashboards, data assets and the More ❯

Data Science Manager London£120,000 + benefits THE COMPANY Harnham is partnering with an online retailer/marketplace that is looking to add a Manager to their Data Science & AI team in London. They have 1000 staff across offices in the UK, US and Europe, with the data team being small (circa … people). Working closely with the data director, you will join to manage a small (but growing) team, remaining hands-on you will help bring a more sophisticated approach to data science and machine learning across the business. Key projects the team are working on currently: Dynamic pricing algorithms for the website Recommender systems NLP and classification … algorithms better! YOUR SKILLS AND EXPERIENCE You must have: An MSc or Ph.D. in a STEM topic with a machine learning focus Experience of working with large volumes of data (preferably online data) Expert knowledge of Python Working knowledge of GCP (other cloud tools fine) Knowledge of pricing is required for this role Excellent stakeholder management skills Experience More ❯