801 to 825 of 963 Data Science Jobs in the UK excluding London

accounts and are winning new clients every single month, so we re looking for someone who can confidently deliver a range of roles from data scientists/engineers, network engineers, IT Support, project management and software testers (support will be given, so you don t need previous IT recruitment More ❯

Data Scientist – Consumer Behaviour London office hybrid 3 days per week - Salary negotiable dep on experience between £70,000-£80,000 - J12933 Please note this client is unable to offer sponsorship so please ensure you have full UK working rights. Datatech are working exclusively with a boutique start up … in London, staffed across the UK, US and Canada, to grow their team. This leading consumer behavioural data organisation are servicing some of the largest brands and media companies worldwide and have been working for the last 6 + years adding value to their clients. This company have an … incredible amount of data, and having just skimmed the surface of this, there is a huge opportunity to delve deeper and bring their potential to life. For the role of Data Scientist, we are looking for an enthusiastic and driven individual, ready to get stuck into some extremely More ❯

tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists. Responsibilities Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor … systems. Work with microcontrollers, microprocessors, and real-time operating systems (RTOS). Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control. Integrate software with various hardware components, including sensors, actuators, and communication modules. Participate in the full software development lifecycle, including … and system tests to ensure software quality and reliability. Troubleshoot and debug software and hardware issues in embedded systems. Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration. Contribute to the continuous improvement of our software development processes and tools. More ❯

tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists. Responsibilities Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor … systems. Work with microcontrollers, microprocessors, and real-time operating systems (RTOS). Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control. Integrate software with various hardware components, including sensors, actuators, and communication modules. Participate in the full software development lifecycle, including … and system tests to ensure software quality and reliability. Troubleshoot and debug software and hardware issues in embedded systems. Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration. Contribute to the continuous improvement of our software development processes and tools. More ❯

platform and therapeutics for diseases with a large unmet need. Position Summary: We are seeking a Head of Platform that reports to the Chief Science Officer (CSO) and leads a team of scientists. The role involves leadership over Quotient's lab-based genomics platform, covering the breadth of the … different levels of seniority. Being collaborative is key - this leader will need to engage and integrate across other teams at Quotient, such as in data science, and target discovery science. This role is based in the vicinity of Cambridge UK and will be primarily based on site. All … Key Responsibilities: Lead Quotient's platform technology group, which includes the search and implementation of new technologies, implementation of high-throughput methods, and maximizing data generation throughput and reliability. Drive the operations of our genomics pipeline, delivering upon the core Somatic Genomics projects at the heart of Quotient's More ❯

creates, resources, and grows first-in-category life sciences companies. Position Summary: We are seeking a Head of Platform that reports to the Chief Science Officer (CSO) and leads a team of scientists. The role involves leadership over Quotient's lab-based genomics platform, covering the breadth of the … different levels of seniority. Being collaborative is key - this leader will need to engage and integrate across other teams at Quotient, such as in data science and target discovery science. This role is based in the vicinity of Cambridge UK and will be primarily based on site. All … Key Responsibilities: Lead Quotient's platform technology group, which includes the search and implementation of new technologies, implementation of high-throughput methods, and maximizing data generation throughput and reliability. Drive the operations of our genomics pipeline, delivering upon the core Somatic Genomics projects at the heart of Quotient's More ❯

products. Key Responsibilities: Design, develop, and maintain scalable, high-performance web applications and APIs using Node.js . Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI-driven capabilities and infrastructure tools into our platform. Build robust backend services to support our platform … s architecture, ensuring security, scalability, and optimal performance. Develop and integrate systems that can handle large datasets and support real-time data processing. Optimise codebase and algorithms to enhance the efficiency and reliability of infrastructure services. Troubleshoot and debug complex technical issues to maintain system stability. Write clean, modular … Experience working with real-time systems , messaging queues, and event-driven architectures. Knowledge of cloud-native applications , serverless architectures, and infrastructure automation. Exposure to data pipelines , data analytics , or large-scale data processing. More ❯

a Product Manager in our AI & Analytics Experiences Squad , you will be responsible for defining, developing, and driving AI-powered solutions that turn IoT data into strategic business insights. Your work will shape how businesses monitor, optimise, and automate their IoT environments using real-time analytics, predictive intelligence, and … AI-driven automation. You will work alongside a cross-functional product squad , including engineers , data scientists , designers , and researchers , to discover and deliver products that are valuable, viable, usable, and feasible. The Product Manager will champion customer needs, translate market opportunities into product strategies, and drive execution from discovery … predictive intelligence, generative AI, and sustainability-focused analytics. To drive this forward, we are looking for a Product Manager who is passionate about AI, data, and delivering high-impact solutions. What We’re All About Wireless Logic is a market leader in IoT connectivity , empowering over 10 million devices More ❯

a Product Manager in our AI & Analytics Experiences Squad , you will be responsible for defining, developing, and driving AI-powered solutions that turn IoT data into strategic business insights. Your work will shape how businesses monitor, optimise, and automate their IoT environments using real-time analytics, predictive intelligence, and … AI-driven automation. You will work alongside a cross-functional product squad , including engineers , data scientists , designers , and researchers , to discover and deliver products that are valuable, viable, usable, and feasible. The Product Manager will champion customer needs, translate market opportunities into product strategies, and drive execution from discovery … predictive intelligence, generative AI, and sustainability-focused analytics. To drive this forward, we are looking for a Product Manager who is passionate about AI, data, and delivering high-impact solutions. What We’re All About Wireless Logic is a market leader in IoT connectivity , empowering over 10 million devices More ❯

a Product Manager in our AI & Analytics Experiences Squad , you will be responsible for defining, developing, and driving AI-powered solutions that turn IoT data into strategic business insights. Your work will shape how businesses monitor, optimise, and automate their IoT environments using real-time analytics, predictive intelligence, and … AI-driven automation. You will work alongside a cross-functional product squad , including engineers , data scientists , designers , and researchers , to discover and deliver products that are valuable, viable, usable, and feasible. The Product Manager will champion customer needs, translate market opportunities into product strategies, and drive execution from discovery … predictive intelligence, generative AI, and sustainability-focused analytics. To drive this forward, we are looking for a Product Manager who is passionate about AI, data, and delivering high-impact solutions. What We’re All About Wireless Logic is a market leader in IoT connectivity , empowering over 10 million devices More ❯

Job Title: Senior Data Scientist (AI & ML) Location: London hybrid Salary: £80-90K + Equity About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered … insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the development of AI features. You’ll be a hands-on “do-er” who’s comfortable rolling up your sleeves and executing. This role is ideal for an individual who excels at … datasets and cutting-edge technologies. You’ll be responsible for: Building and optimising machine learning models using NLP and graph vector DBs Leveraging big data efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into More ❯

The Role We're developing a new platform to accelerate our new analytics product development. Working closely with domain experts and data scientists, this role will lead the development of analytics tools for new and innovative products. We're looking for an experienced Software Developer with strong programming and … analytical & problem-solving skills. What you'll do : Lead the software development activities in the Advanced Analytics team. Collaborate with domain experts and data scientists to design and develop analytics software for innovative new products. Develop, maintain, monitor, and support our analytics products, helping to automate and streamline data processes. Partake in code reviews. Help coach and mentor junior team members, data scientists, and domain experts in software development. Experience with Python, C#, and React. Collaborate with wider software teams on standards and processes. Ideally you'll have/be: 5+ years of commercial Software Development Experience. More ❯

this, my client has a passion for data. Not only are they able to consistently deliver impactful stories, but they are able to leverage data science to creative a magnitude of ways to enhance their client’s performance. That’s why they are one of the top agencies More ❯

client is seeking a software engineer to join their team in Mayfair, London. We are looking for a Senior Backend Software Engineer with strong data engineering skills to join a small, agile team developing software solutions for our energy supply and trading functions. Hybrid working is in play, with … days at home. Software Engineer- About the role: My client’s energy business is growing rapidly with a strong focus on using advanced data systems and analytics to deliver exceptional service. We are looking for someone to take ownership of the backend architecture that underpins our analytics applications, user … tools, and automated trading workflows. You will collaborate closely with analysts, data scientists, and business stakeholders to translate requirements into robust, scalable backend solutions. You’ll be responsible for designing and developing services, APIs, data pipelines, and internal applications that integrate analytics and enable better decision-making and More ❯

s 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 … domain subjects Required Skills and Experience: Experience as a mid-senior level engineer working across a modern stack Strong software engineering principles (SOLID, DRY, data modelling) Professional experience with a server-side language, ideally Python Comfortable working with cloud infrastructure, infrastructure as code, familiar with standard logging and monitoring More ❯

Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning solutions into our products and services. - Lead the end-to-end machine learning lifecycle, from data collection and … Optimise machine learning pipelines for efficiency, scalability, and reliability, considering both computational and operational constraints. Requirements: - Bachelor's or master’s degree in computer science, Engineering, Mathematics, or related field. - Proven experience (5+ years) in developing and deploying machine learning models and algorithms in real-world applications. - Strong proficiency More ❯

and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software … on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. Working away at partner locations as required. WHAT YOU'LL NEED A Masters degree in Computer Science, Applied Mathematics, Statistics, Physics or More ❯

Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning solutions into our products and services. - Lead the end-to-end machine learning life cycle, from data collection … Optimise machine learning pipelines for efficiency, scalability, and reliability, considering both computational and operational constraints. Requirements: - Bachelor's or master's degree in computer science, Engineering, Mathematics, or related field. - Proven experience (5+ years) in developing and deploying machine learning models and algorithms in real-world applications. - Strong proficiency More ❯

non-discrimination. ROLE Deploy is Akur8’s rating engine, the final step in our end-to-end vision, where all steps of pricing - from data analysis, to modeling, to ratemaking - are streamlined into one modern, powerful and efficient software. As a new product under active development, there are numerous … opportunities and challenges, providing a bridge between two key functions in insurance. Whilst on the actuarial side it focuses on extracting insights from data and making statistical decisions for the business; on the IT side it concentrates on maintaining and producing reliable systems. In insurance, the different skillsets and … industry , with interactions with either pricing actuarial teams or IT (pricing or policy admin systems) 3+ years experience in a quantitative position , such as Data Scientist, Engineering or Product Manager. A sound understanding of machine learning concepts, models, and algorithms Excellent quantitative & analytical skills Very strong problem solving skills More ❯

Job Title: Senior Data Scientist Location : Widnes (originally on-site then move to a hybrid arrangement) Salary : £55,000 - £70,000 *They are unable to provide sponsorship at this time* Yoh have partnered with a rapidly scaling business, they are pioneering and leading a data-driven technologies business … signal detection with most of their work coming from cliental within the Water and Oil & Gas industry. The responsibilities of this role include: Implement data and machine learning based methods for training and validating results. Apply signal processing techniques in accordance with improving algorithm performance Research old and new … for signal processing and machine learning algorithms to identify training and deployment techniques. This position would suit someone who has experience working with large data sets with a mathematical and analytical mindset, they are looking for senior engineers to join the team working with AWS SageMaker for AI and More ❯

and having fun in a collaborative environment. Yelp is seeking an entry-level Software Engineer who is excited to work at the intersection of data and backend engineering. In this role, you'll help design and develop systems that power Yelp's advertising platform-from building SDKs for large … scale event ingestion to designing data pipelines that process and analyze those events. You'll be joining the Product Monetization Platform team, which is responsible for collecting and processing ad-related events. Our work supports critical business functions, including billing, analytics, machine learning, and ad serving. This is a … great opportunity to gain hands-on experience with scalable data systems while contributing to Yelp's revenue-driving products. This opportunity requires you to be located in the United Kingdom. We'd love to have you apply, even if you don't feel you meet every single requirement in More ❯

Job Band Job number 21462 Principal Senior Data Scientist - NLP Salary range: Up to £118,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: permanent contract Location: London or Salford based Our comprehensive benefits … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play … Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are you the right candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and innovation More ❯

and maintain scalable fullstack web applications using React on the frontend and Python (Django/FastAPI/Flask) on the backend. Collaborate closely with data scientists, ML engineers, and product managers to integrate AI-driven features into the platform. Develop and maintain RESTful APIs and backend services to support … core infrastructure and AI tools. Build and enhance dynamic frontend interfaces that deliver real-time insights and data visualisations. Work with large datasets and real-time data processing systems. Optimise code and system architecture for performance, scalability, and reliability. Troubleshoot, debug, and resolve complex technical challenges across the …/ML models or tools into production applications. Exposure to real-time systems, messaging queues (e.g., Kafka, RabbitMQ), or event-driven architectures. Knowledge of data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity with tools such as TensorFlow, PyTorch, or More ❯

firm's long-term AI adoption strategy. Bridge the gap between technical teams and senior stakeholders, guiding them on the right tools, models, and data approaches. Stay ahead of emerging AI trends (e.g., generative AI, NLP, automated decision-making) and assess their applicability to financial markets and investment strategies. … Collaborate with data scientists, engineers, and third-party vendors to ensure solutions align with business priorities. Promote a culture of data-driven innovation and AI literacy across the organisation. Ideal Candidate Profile Demonstrated experience leading AI strategy in investment management or financial services. Strong academic credentials in AI … Machine Learning, Computer Science, or a related field (e.g., PhD or equivalent research background desirable). Exceptional communication skills, with the ability to influence and advise C-level stakeholders. Deep understanding of AI/ML capabilities and their real-world applicability, particularly in the context of investment decision-making More ❯

Hours per week: 37 Project Title: Next generation tools for genome-centric multimodal data integration in personalised cardiovascular medicine Months Duration: 36 Job Description Main Purpose of the Job As part of the EU Horizon/Innovate UK funded project "Next Generation Tools for Genome-Centric Multimodal Data … of assignments as part of several research projects. Key Relationships Internal: Group leaders at EI, EI's Director and Senior Management Team. EI's Science Faculty groups, NBRI and communications and training teams. External: EU consortium members, consortium project managers, collaborators, visitors to EI. Innovate UK, BBSRC officers, academic … world-class research, including contributing to research proposals and grant applications - 25% Develop analytical pipelines for the reproducible handling and analysis of multi omic data sets - 10% Prepare results, reports and manuscripts for publication in leading scientific journals and other relevant media - 10% Disseminate research findings through presentations to More ❯