1,426 to 1,450 of 2,169 Data Science Jobs in England

Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society … as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models, and presenting the results through a low-latency SaaS solution used globally is a significant engineering challenge. This requires models that can withstand scrutiny … from industry experts, data analysts, and traders, with performance, stability, latency, and agility that a fast-moving startup influencing multi-$m transactions demands. The Data Platform Team manages all of Vortexa's data, from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. They More ❯

a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical More ❯

a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical More ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯

You will have a fast start if you have experience: Experience with cloud platforms such as AWS, Google Cloud, or Azure Knowledge of Kubernetes and containerization technologies Experience with data science and ML engineering Familiarity with retrieval-augmented generation (RAG) The requirements listed in the job descriptions are guidelines. You don't have to satisfy every requirement or More ❯

as a full-stack developer, proficient in multiple languages and technologies AI engineering Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. 3D modelling/unity and visualisation skills and experience (a nice to have but not essential) Confidence in working with AWS or Azure Capability of contributing across the More ❯

as a full-stack developer, proficient in multiple languages and technologies AI engineering Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. 3D modelling/unity and visualisation skills and experience (a nice to have but not essential) Confidence in working with AWS or Azure Capability of contributing across the More ❯

as a full-stack developer, proficient in multiple languages and technologies AI engineering Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. 3D modelling/unity and visualisation skills and experience (a nice to have but not essential) Confidence in working with AWS or Azure Capability of contributing across the More ❯

powered workflows : Leverage retrieval-augmented generation, context-aware orchestration (MCP), and internal datasets to generate real-time, contextual insights. Collaborate across disciplines: Work hand-in-hand with product designers, data scientists, and our AI strategy leads to embed intelligent features into everyday user flows. Stay ahead of the curve: Keep a critical eye on emerging AI trends, applying what More ❯

powered workflows : Leverage retrieval-augmented generation, context-aware orchestration (MCP), and internal datasets to generate real-time, contextual insights. Collaborate across disciplines: Work hand-in-hand with product designers, data scientists, and our AI strategy leads to embed intelligent features into everyday user flows. Stay ahead of the curve: Keep a critical eye on emerging AI trends, applying what More ❯

of digital health - AI-powered, privacy-first, clinically backed - to help our users know their body better. The job We're a world-class team of product builders, engineers, data scientists, growth hackers, user researchers, designers, and medical experts - all building an app that generates long-term value to our millions of users worldwide. Our engineers aren't just More ❯

and we are always looking for new ideas. The Role Working together as part of the Analytics Engineering team, your role will be to implement, maintain and support our data and analytics platforms and tooling. You'll also help provide analysts, data scientists, engineers and many other business users with the self-service tools and systems they need … would love for you to have experience in some of the following areas: Working knowledge of SQL and at least one other coding language (ideally Python) Experience working on data governance projects and tasks - data cataloguing, data quality, GDPR, data retention, etc Expertise in modern, agile software development processes Awareness of principles and practices of delivering … about the decisions we make and why we make them. There are so many questions we need to answer and plenty more we haven't even encountered. How do data and technology help restaurants to grow as consumer habits change? How can we predict what someone wants to order for dinner long before the idea has even crossed their More ❯

to increase quality, decrease costs and improve time-to-market Periodically testing the service with predictable and unpredictable failures Providing 2nd-line operational support for our SaaS customers Gathering data and generating reports on the service performance Developing and documenting internal processes Working with engineering/data science to drive and develop new and improved ARIC Risk … is an expectation of 3 days in the office per week. Required experience: Strong experience running Windows Server in production Bachelor's, Master's, or higher qualification in Computer Science or a related field In-depth knowledge of IIS, PowerShell, and Windows internals Proven ability to build infrastructure-as-code and CI/CD for Windows environments Comfort wrapping … production-grade services at scale Great to have: Experience with tools such as: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana or HashiCorp Vault Experience with securing applications, services, and data, including authentication, authorization, TLS, and encryption Exposure to Kubernetes (administering, deploying, or developing apps on K8s clusters) Understanding of compliance and system hardening in regulated environments (e.g., HIPAA, PCI More ❯

delivering AI/ML products, with a solid understanding of the challenges involved in AI delivery. While not an AI/ML specialist, you have a solid command of data science techniques and engineering principles, able to spot technical dependencies and contribute to technical solution design. Exceptionally strong stakeholder management and ability to influence decision makers through data More ❯

Ad Tech £100K-£130K + bonus + equity Hybrid (London, 2-3 days/week) The Company Our client is a fast-growing AI-driven technology business powering custom data and modelling solutions for global advertisers. Their platform connects directly with client data, tech stacks, and goals to deliver bespoke, transparent outcomes - from clean room integrations to algorithmic … leadership to scope and deliver custom technical solutions for advertisers and enterprise partners. You'll lead discovery, integration mapping, and technical storytelling - helping define what's possible across APIs, data sets, and modelling. You'll act as a technical bridge between the client and internal data science/product teams - fluent in the language of both commercial … new use cases, and scalable delivery models. You'll be client-facing, highly collaborative, and trusted to think on your feet You 5-7+ years in ad tech, data/AI platforms, or technical consulting (SaaS, martech, programmatic, or similar). Comfortable with APIs, SQL, and ideally some exposure to Python or JavaScript - not coding day to day More ❯

a range of sectors. THE ROLE This company is seeking a dynamic, all-rounder analytics leader who can blend strategy with hands-on execution. This role involves leading the data and analytics practice, collaborating with cross-functional teams to drive insights, and supporting clients in their data-driven decision-making. You'll have a significant impact on both … client strategy and internal capabilities, ensuring that the business stays ahead of industry trends. You will have 2 team members reporting into you. SKILLS + EXPERIENCE Strong background in data science, measurement and attribution modelling Tech stack: Google Analytics (GA4), BigQuery/SQL, Google Tag Manager, Adobe Analytics, Salesforce Experience working closely with clients to define and implement … data strategies Knowledge of MarTech tools and their integration into business strategies Ability to lead and inspire a growing data practice, ensuring it evolves with client needs HOW TO APPLY If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below. More ❯

a high distraction trading environment. Proficiency in Python, Rust is a bonus. Proficiency in Unix based systems. Experience of cloud-based platforms (e.g. AWS). Experience with real-time data messaging (e.g. Redis, websockets). Experience with deployment and monitoring tools, e.g. supervisor, dockers, Grafana, Nagios, etc. Excellent problem-solving skills and attention to detail. Bachelor's or Master … s degree in Computer Sciences, Data Science, Engineering, or a related field. Experience in the finance or cryptocurrency sectors. Experience with exchange connectors implementation. Familiarity with low latency systems and high-frequency trading environments. Job responsibilities Trading Engine Operations: Ensure that day-to-day trading operations run smoothly. Trading Engine Development: Develop the existing and new components within More ❯

in UK) £570 Per Day (Outside IR35) We have partnered with a cross-platform media powerhouse reaching millions across Europe who are redefining how audiences engage with content through data, technology, and storytelling. We are investing in our CRM and marketing technology ecosystem to drive deeper, more personalised engagement across listener and player lifecycle journeys. The Director of CRM … shaping and scaling the brands CRM and MarTech capabilities across brands and markets. This strategic leadership role sits at the intersection of audience insight, lifecycle marketing, product growth and data-driven automation. Key Responsibilities Own and operate the CRM MarTech roadmap , acting as product owner for Braze and surrounding ecosystem, prioritising initiatives based on impact and feasibility. Define, document … and communicate technical requirements for CRM features, channels, data integrations, and platform enhancements. Act as primary liaison to Data and Engineering teams to enable scalable, real-time customer messaging. Serve as the companies internal Braze technical expert , advising on architecture, campaign build best practices, data structuring, and platform optimisation. Lead UK-first implementation, building foundations for international More ❯

from foot traffic and vehicle flow to energy consumption and city-wide systems performance. We’re looking for a Software Engineer with strong Python skills and experience working alongside data scientists to optimise and productionise ML models . The core simulation engine is built in C++ , so any experience with C++ in high-performance environments is a major plus. … Key Responsibilities: Work with data science teams to optimise predictive models and deploy them at scale Build robust, scalable services in Python , with performance-critical elements in C++ Contribute to the development of a digital twin platform to simulate and forecast city infrastructure outcomes Collaborate across simulation, data, and software teams to turn prototypes into production-ready … solutions (Bonus) Integrate streaming data pipelines using Kafka to support real-time modelling Experience: Strong commercial experience in Python engineering Exposure to C++ , especially in simulation, modelling, or high-performance systems Proven track record working closely with data scientists to bring models into production Background in simulation-heavy domains (e.g. finance, oil & gas, energy, transport) Experience with Kafka More ❯

everything from foot traffic and vehicle flow to energy consumption and city-wide systems performance.We’re looking for a Software Engineer with strong Python skills and experience working alongside data scientists to optimise and productionise ML models . The core simulation engine is built in C++ , so any experience with C++ in high-performance environments is a major plus. … Key Responsibilities: Work with data science teams to optimise predictive models and deploy them at scale Build robust, scalable services in Python , with performance-critical elements in C++ Contribute to the development of a digital twin platform to simulate and forecast city infrastructure outcomes Collaborate across simulation, data, and software teams to turn prototypes into production-ready … solutions (Bonus) Integrate streaming data pipelines using Kafka to support real-time modelling Experience: Strong commercial experience in Python engineering Exposure to C++ , especially in simulation, modelling, or high-performance systems Proven track record working closely with data scientists to bring models into production Background in simulation-heavy domains (e.g. finance, oil & gas, energy, transport) Experience with Kafka More ❯

from foot traffic and vehicle flow to energy consumption and city-wide systems performance. We’re looking for a Software Engineer with strong Python skills and experience working alongside data scientists to optimise and productionise ML models . The core simulation engine is built in C++ , so any experience with C++ in high-performance environments is a major plus. … Key Responsibilities: Work with data science teams to optimise predictive models and deploy them at scale Build robust, scalable services in Python , with performance-critical elements in C++ Contribute to the development of a digital twin platform to simulate and forecast city infrastructure outcomes Collaborate across simulation, data, and software teams to turn prototypes into production-ready … solutions (Bonus) Integrate streaming data pipelines using Kafka to support real-time modelling Experience: Strong commercial experience in Python engineering Exposure to C++ , especially in simulation, modelling, or high-performance systems Proven track record working closely with data scientists to bring models into production Background in simulation-heavy domains (e.g. finance, oil & gas, energy, transport) Experience with Kafka More ❯

a proven track record in the design and deployment of LLMs for applications within the NLP space, as well as established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment. What will you be doing? Working within a dynamic cross-functional team that operates based on OKRs (Objectives and Key Results), fostering … collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets. Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process, and directly working towards those. Crafting and refining Machine Learning models … and algorithms to address complex product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating More ❯

cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist II, Analytics - Landing Introduction to the Team: At Expedia Group, our mission is to power global travel for everyone, everywhere. The Landing Analytics team plays a pivotal role … in shaping the traveler experience by leveraging data to inform decisions, optimize performance, and uncover opportunities for innovation. We work cross-functionally with product, engineering, and business stakeholders to deliver actionable insights and scalable solutions that drive impact across our platforms. As a Data Scientist II, you'll join a collaborative and curious team that values transparency, continuous … learning, and data-driven storytelling. This is a fantastic opportunity to grow your analytics career while contributing to meaningful projects that influence millions of travelers worldwide. In this role, you will: Apply analytics principles and playbooks to solve business problems with moderate guidance. Extract, transform, and analyze data from multiple sources to build models and generate insights. Design More ❯

The Company A fast-scaling RegTech startup is looking for a Senior AI Engineer to help shape and scale its next-generation regulatory change management platform, powered by GenAI and automation. Backed by a major global bank and already working More ❯

products cyber resilient? We are looking for a Security Engineer to join our Information Security team at our Oxford headquarters. You will be working across software engineering, modelling, and data science bringing your full self, including your security knowledge and expertise to the business. As a Security Engineer at Aurora Energy Research, you will enable our colleagues to … a continuous learner. Guide and define our security policies, procedures, and standards end-to-end, be recognized as a point of escalation and subject matter expert for software and data risk. What we are looking for Required qualifications, capabilities, and skills: Degree in a computer science related subject or comparable working experience related to the role. Working knowledge More ❯