376 to 400 of 781 Data Science Jobs in the UK excluding London

to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery and technical problem-solving. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline work for engineers, scientists, and analysts everywhere. That training data begins with … you-we need your expertise to help power the next generation of AI. We're looking for STEM specialists who live and breathe mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You'll challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling-documenting … traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in a STEM discipline is ideal; published research, engineering design experience, data analysis projects, or coding portfolios signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your STEM expertise into the knowledge base for tomorrow's AI More ❯

to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery and technical problem-solving. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline work for engineers, scientists, and analysts everywhere. That training data begins with … you-we need your expertise to help power the next generation of AI. We're looking for STEM specialists who live and breathe mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You'll challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling-documenting … traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in a STEM discipline is ideal; published research, engineering design experience, data analysis projects, or coding portfolios signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your STEM expertise into the knowledge base for tomorrow's AI More ❯

to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery and technical problem-solving. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline work for engineers, scientists, and analysts everywhere. That training data begins with … you-we need your expertise to help power the next generation of AI. We're looking for STEM specialists who live and breathe mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You'll challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling-documenting … traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in a STEM discipline is ideal; published research, engineering design experience, data analysis projects, or coding portfolios signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your STEM expertise into the knowledge base for tomorrow's AI More ❯

to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery and technical problem-solving. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline work for engineers, scientists, and analysts everywhere. That training data begins with … you-we need your expertise to help power the next generation of AI. We're looking for STEM specialists who live and breathe mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You'll challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling-documenting … traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in a STEM discipline is ideal; published research, engineering design experience, data analysis projects, or coding portfolios signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your STEM expertise into the knowledge base for tomorrow's AI More ❯

Chief Technology Officer (CTO) to lead the build of a proprietary prop trading platform from the ground up. The company is developing an AI-powered system that merges advanced data science, algorithmic trading, and intuitive interfaces to drive next-generation financial strategies. The Role As CTO, you'll define and execute the technology roadmap, architect the entire platform … secure, scalable, and intelligent trading system from scratch. Key Responsibilities Lead the end-to-end architecture and development of a greenfield trading platform Oversee integration of real-time market data, broker APIs, and strategy deployment via a custom DSL Build interactive trading interfaces (React/TypeScript) Drive DevOps, CI/CD, cloud infrastructure (Azure preferred), and cybersecurity Hire, mentor … and audit readiness What We're Looking For 10+ years in tech leadership, with 5+ in fintech, trading tech, or AI startups Proven experience building and scaling real-time, data-intensive systems from scratch Proficiency in C# for high-performance, low-latency trading systems Strong backend (Python, Node.js, Rust) and frontend (React, Next.js) expertise Deep experience with cloud platforms More ❯

Analytics Manager | Data-Led B2B & D2C Business | Up to £70K | Hybrid (South West UK) Harnham is working with a well-established multinational food business with a strong presence across the UK, US, and Canada. They operate in both B2B and D2C markets — from hospitals and schools to elderly customers receiving nutritious meals at home. They’ve built a reputation … around quality, innovation, and ethical values, and they’re now looking for an Analytics Manager to join their growing data team. The Role: You’ll be embedded in a strategic insight and problem-solving team working directly on key commercial challenges across international markets. This is a hands-on analytics position where you’ll be shaping business decisions, optimising … Track and measure marketing campaign performance, applying techniques like media mix modelling (MMM) and attribution Support commercial decision-making with segmentation, pricing, product mix and sales performance insights Present data-driven stories to senior leadership, helping answer questions like: “Why are sales dropping in this category?” “How can we improve our delivery logistics?” “Do we have too many products More ❯

to reshape the way professionals in finance and audit work. This role offers the opportunity to fast-track the development of intelligent tools that automate repetitive tasks and support data-led decision-making. You’ll be part of a small, agile team with direct access to experienced mentors in software development and data science, and a clear … Collaborate with other developers on code reviews, feature design, and deployment planning. Build across the entire product stack: Frontend: modern, responsive user interfaces Backend: scalable APIs and application logic Data Layer: analytical tools and processing engines Independently lead features or projects from discovery through to release. Support junior team members through mentorship and code pairing. Solve complex technical challenges … years of experience building full-stack applications in production environments. Strong proficiency in: Backend: Python, Django Frontend: JavaScript, React, Next.js Version Control: Git Ability to design and maintain performant, data-heavy backend systems with external API integrations. Experience developing responsive UIs that perform well across devices and browsers. Self-starter attitude with the ability to take full ownership of More ❯

ready ML systems using Python and modern frameworks. Lead technical design discussions and influence system-level decisions across greenfield initiatives. Build and scale end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment. Champion best practices in software engineering: CI/CD, testing, containerisation, version control, and code quality. Collaborate with cross-functional teams including … data scientists, platform engineers, and product stakeholders to align AI solutions with business goals. Experience Strong commercial experience in Python with a deep understanding of software engineering principles. Demonstrated expertise in building ML systems in production environments (not just notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with …/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline Why Join? Greenfield impact: Shape the direction of new AI/ML products from day one. Global scale: Work with one of the More ❯

these into projects where relevant 🛠️ Key Experience & Skills Strong background in enterprise GIS delivery across a range of geospatial systems and datasets Familiarity with cloud-hosted environments and spatial data management (e.g., PostGIS, GeoJSON, WMS/WFS) Hands-on experience with GIS platforms and toolsets , both open source and proprietary Scripting experience (e.g., Python ) to automate spatial data handling or analysis Experience working in Agile, multidisciplinary teams , delivering complex digital services ⭐ Desirable (But Not Essential) Experience with EO data , geospatial data science or AI/ML Knowledge of DevOps principles (Terraform, CI/CD pipelines, Docker, etc.) Familiarity with GOV.UK Digital Service Standards or public sector digital frameworks Understanding of data privacy and … secure handling of sensitive spatial data (e.g., PII) 🔍 Who We're Looking For You might currently be a GIS Consultant or Senior Analyst ready to take the next step, or a mid-level professional with significant hands-on experience in enterprise GIS delivery looking for more influence and ownership in projects. Our client values collaboration, curiosity, and initiative — someone More ❯

s tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing … and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … high-performance, scalable backend systems and APIs. Knowledge of systems programming concepts: memory management, concurrency, performance optimization. Familiarity with ML system architecture and computational requirements (model serving, training infrastructure, data processing pipelines). Experience with cloud platforms (AWS preferred) and distributed systems. Proficiency with containerization (Docker) and orchestration tools (Kubernetes). Strong experience with version control systems (Git) and More ❯

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance … over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey. The Role Senior Backend Engineers are responsible for building the core data-flows of Kitman Labs products. They do this with a focus on security, privacy, robustness and performance. The backend engineering team builds APIs and data processing pipelines that … handle massive amounts of data from sports teams all over the globe. In conjunction with our Data Science team they build and maintain data models which embody the cutting edge of injury risk prevention technology. We're looking for people with a strong background or interest in building successful products. You'll be happy dealing with More ❯

integrity of our platform. As Engineering Manager of this newly formed squad, you will lead a small-medium sized team and work cross-functionally with teams including Product Management, Data Science and Data Analytics! Across the three Trust teams, we leverage AI and Machine Learning, process high-volume data to combat fake reviews, promote trustworthy content … team performance, system reliability, and fraud detection effectiveness, ensuring measurable business impact Manage the delivery of major initiatives and balance delivery with sustainable engineering practices Work closely with Product, Data Science & Analytics, and other stakeholders Define and prioritise deliverables for new products/enhanced functionality, coordinating cross-functional scoping and feasibility to support business and customer needs Collaborate … or Google Cloud and best practices for scalable infrastructure Experience developing and deploying Full-stack services including React, CSS, TypeScript, Node.js, Database management, and API integrations Ability to use data and metrics to inform decisions, effect change, and align engineering efforts with business goals Extensive stakeholder management experience with a focus on working with the wider business and the More ❯

Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. About the Role Did you know that consumers lost over $1 trillion to scams in 2024 alone? You can play a part in helping make society safer and … to customer problems , defin e and prioritis e incremental value , lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development team s , data science, fellow product managers and wider organisation Contribute to the product suite strategy and define it through collaboration and analysis of the right market, customer and business insights … Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support , Professional Services ) to gather and assess product More ❯

be suitable for this opportunity, you will be pro-active in your approach, adaptable and able to demonstrate that you have: A Ph.D. or equivalent postgraduate qualification in computer science or a related field, with a strong research track record, including publications in top-tier conferences and journals. A passion for software engineering with the ability to write clean … LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services. Exposure to knowledge graphs and graph databases such as Neo4j is More ❯

Scientist - AI & ML BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking … to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to … work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for More ❯

our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be picked from shipper warehouses to reduce First Mile shipping cost. … on related business domains. Your models are expected to be of production quality, and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers … you are excited by this charter, come join us! Minimum Requirements: Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development PhD, or a Master's More ❯

UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking … to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to … work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for More ❯

analysts responsible for developing the credit and pricing strategies as we evolve our existing propositions and develop new products and distribution strategies. Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. We're great believers in powerful, real-time analytics and empowerment of the … wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives analysts the head space to focus on more impactful business questions and analyses. Join a team where your ideas can rapidly transform into reality, leveraging … our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way. How you'll contribute: Lead a team of analysts that will develop credit More ❯

For more information, please go to www.ascendion.com With Ascendion (www.ascendion.com), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally More ❯

and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note we can only consider candidates who can commit to at least one day per week in Dundee. Bright Purple More ❯

you will take ownership of core backend development efforts, leading a small, agile team. You will be instrumental in architecting and building software systems that interface with real-time data sources and power intelligent automation platforms. This is a hands-on leadership position where you'll balance technical delivery with mentorship and team coordination. Key Responsibilities: Lead the design … robust, scalable backend systems using Python and microservices architecture Oversee code quality, testing, and DevOps practices to ensure continuous delivery Collaborate closely with multidisciplinary teams, including hardware engineers and data scientists Mentor and support junior developers and contribute to a high-performance engineering culture Implement software solutions for real-time data processing in an industrial environment Drive adoption … an Azure cloud environment Excellent problem-solving and leadership skills Desirable: Background in industrial automation, IoT, or embedded systems Familiarity with protocols used in industrial environments Experience with modern data pipelines or event-driven architectures What's on Offer: Competitive salary and benefits package Flexible working hours and hybrid options Career growth in a cutting-edge technology environment A More ❯

you will take ownership of core backend development efforts, leading a small, agile team. You will be instrumental in architecting and building software systems that interface with real-time data sources and power intelligent automation platforms. This is a hands-on leadership position where you'll balance technical delivery with mentorship and team coordination. Key Responsibilities: Lead the design … robust, scalable backend systems using Python and microservices architecture Oversee code quality, testing, and DevOps practices to ensure continuous delivery Collaborate closely with multidisciplinary teams, including hardware engineers and data scientists Mentor and support junior developers and contribute to a high-performance engineering culture Implement software solutions for real-time data processing in an industrial environment Drive adoption … an Azure cloud environment Excellent problem-solving and leadership skills Desirable: Background in industrial automation, IoT, or embedded systems Familiarity with protocols used in industrial environments Experience with modern data pipelines or event-driven architectures What's on Offer: Competitive salary and benefits package Flexible working hours and hybrid options Career growth in a cutting-edge technology environment A More ❯

a crucial role in developing pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will work closely with a multidisciplinary team of engineers, data scientists, and audio experts to build groundbreaking products that push the boundaries of audio technology. This is a unique opportunity to contribute to the development of next-generation audio … librosa, torch audio, or similar). Must understand machine learning techniques, including deep learning architectures (e.g., CNNs, RNNs, GANs) and relevant frameworks (e.g., PyTorch). Must be proficiency in data preprocessing, feature extraction, and data augmentation techniques for audio. Expected to have strong problem-solving skills and ability to think creatively to devise innovative solutions to audio-related … do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those More ❯

through Intune, ensuring device compliance and integration with Zero Trust. Harden AKS clusters and cloud-native apps through role-based access control (RBAC), secrets management, and runtime protection. Secure data pipelines and models in AI workloads, implementing guardrails for model integrity and prompt injection defence. Cloud & Network Security Engineer secure access and posture for Cisco Meraki infrastructure and Umbrella … security problems through systems thinking and automation. Strategic, yet pragmatic: balances best practice with business context. Proactive, communicative, and passionate about elevating security posture through innovation. MS Engineer & MS Data Scientist Associate Ability to exercise independent judgment and act on it. Benefits for our U.K. teams include: The choice to work flexibly from home and the office, in line More ❯

Head of Data Science London – Hybrid Up to £115,000 + Benefits The Opportunity A leading organisation within the Insurance space is seeking a Head of Data Science to lead a team of data scientists and drive high-impact machine learning initiatives. This is a unique opportunity to shape the data science strategy … work closely with senior stakeholders, and lead the adoption AI. Key Responsibilities Lead and mentor a team of data scientists, from mid-level to lead. Identify, prioritise, and deliver high-value ML projects aligned with business goals. Work closely with senior stakeholders to gain buy-in for data-driven strategies. Oversee model deployment, monitoring, and recalibration to maximise … impact. Ensure full adoption of a Google Cloud-based ML Ops platform. Drive education and advocacy for data science across the business. What We’re Looking For Strong experience leading a high-performing data science team. 6+ Years experience A track record of developing and deploying commercially impactful ML solutions. Proficiency in Python, SQL, and cloud More ❯