851 to 875 of 1,074 Data Science Jobs in the UK excluding London

conducting forensic investigations as needed. Optimize Security Posture: Enhance security configurations to maintain compliance and mitigate risks. Automate Security Controls: Streamline security processes and data management to enhance metrics and operational support. Security Compliance & Governance : Ensure security configurations align with compliance frameworks such as CIS, ISO 27001, NIST, and … CISM, CEH, Microsoft Security Certifications, AWS Security Specialty. Knowledge of ITIL. What will we offer you? At Awaze, we're building a world-class data science function at the heart of our growth and innovation strategy. You'll have the opportunity to work on high-impact projects, shape More ❯

First (Leicestershire HQ) We're recruiting on behalf of a dynamic company that operates at the cutting edge of Mathematical Modelling/Algorithms, Simulation, Data Science, and AI. Their solutions power better decision-making across industries including Defence, Security, Cyber, Aerospace, Infrastructure, and Utilities, amongst others. You'll More ❯

communication skills? If so, wed love to hear from you. Our Client Our client is an award-winning technology company. Experts in Modelling, Simulation, Data Science and AI, they combine these to build tools and models to solve the toughest problems, enabling better decision-making. They work across More ❯

/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy. Develop More ❯

AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud platforms (AWS, GCP, Azure). ✅ Collaborating with data scientists, engineers, and product teams to ship AI features that make a real impact. ✅ Implementing MLOps best practices for seamless model deployment, monitoring, and More ❯

circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward. Job Description/Preferred Qualifications We are seeking a Cybersecurity Engineer with shown More ❯

successful and continually growing global manufacturer within the electronics space, who operate cutting edge technology within a continuous improvement culture, in identifying an experienced Data Scientist, to play a key role in the company's push further towards data-driven decisions. The Data Scientist is a key … real business and operational value, working on a continual improvement basis. Further on from this, there are many other areas of the business where data is waiting to be explored and utilised in order to gain further benefits and so this position will grow and develop, with the Data Scientist playing a key role identifying potential projects. As Data Scientist, you will be instrumental in the company embracing data-driven decision making and will lead the design, build and refinement of forecasting models, including time series and machine learning, implementing “what-if” scenarios for capacity planning More ❯

Engineer, you'll be responsible for designing, building, and deploying machine learning models and systems in production. You'll work at the intersection of data science and software engineering, translating ML algorithms into scalable production systems on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into … production Build scalable ML pipelines and infrastructure on AWS Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous improvement of ML practices and infrastructure Requirements: 2-3 years of More ❯

within 4 weeks A leading technology consultancy is seeking an experienced Contract Machine Learning Engineer to support a consultancy who are working on a Data Science proof of concept. This role is fully remote (within the UK) and offers the opportunity to work on impactful machine learning projects … Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance optimisation of ML systems Contribute to architectural discussions and More ❯

ROLE You’ll be focused on strategy and building decks for one of their largest and main clients. You’ll be working alongside a data science team that will do the heavy lifting and analytical work, but you’ll get access to the back-end GA4 data. You … to the client! SKILLS + EXPERIENCE Web Analytics tool experience – Google or Adobe analytics CRO tools – Adobe Target, VWO, Optimizely, HotJar etc Knowledge of data science. This doesn’t need to be super in depth, but you must understand clustering, predictive modelling etc Strong communication and story telling skills More ❯

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle … from data preprocessing to model deployment. Duties and Responsibilities Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques. Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation. Algorithm … Deployment & Maintenance: Work on deploying AI models to production environments, ensuring scalability, reliability, and robustness. Collaboration: Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate AI-driven features into products. Research: Stay up-to-date with the latest AI research and industry trends More ❯

3080525JF As part of a strategic initiative in the space of interdisciplinary healthcare research, the University of Southampton is looking to develop a Secure Data Environment, sitting within its existing Iridis High Performance Computing facility, for datasets needing enhanced levels of security. This facility will be a key resource … for the growing use of AI and data science in healthcare research, as well as providing a new capability for all research fields. About the Role This is a key role in the design and development of a Secure Data Environment which will be certified to ISO … combine traditional compute provision with AI focused GPU capabilities. What youll do - Work with colleagues from the University to Lead efforts for the Secure Data Research Environments IT infrastructure and automation tooling required to deliver the Secure Data Environment and its compliance with the appropriate accreditations (e.g., Cyber More ❯

You will need to login before you can apply for a job. dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow … for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe More ❯

items. • Work with legal SMEs and Customer Success to understand evolving user challenges and regulatory needs. • Track product KPIs and drive continuous improvement through data-driven insights. Collaboration & Culture • Collaborate with Product Marketing to support product positioning, competitive insights, and value proposition development. • Work closely with engineering, design, and … stakeholder management, and prioritization skills. Bonus Qualifications: • Experience working with legal professionals or in regulated industries. • Technical background or close collaboration with engineering and data science teams. • Exposure to Azure, OpenAI, or enterprise-level cloud services. • Ability to thrive in a remote, distributed team environment. About Morae: Morae More ❯

ABOUT US 25 years ago, we started as one of the UK’s first specialist data science businesses. Today we’re one of the leading integrated marketing agencies outside London. A genuine Northern success story (that now has an office in Sydney). And one that’s succeeded … not by bolting data onto what we do, but by having it as our starting point. By plugging our creatives, strategists and media specialists into data-driven insight we help them get the most compelling ideas in front of the right audience. Which all adds up to outstanding … We’re powered by our people and the partnerships we have with our amazing clients and brands. We number over 250 creatives, developers, strategists, data scientists, media specialists and more across offices in Sheffield, Leeds, Sydney and Melbourne. A unique blend of talents collaborating as one to create powerful More ❯

outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD More ❯

outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD More ❯

outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD More ❯

Key Responsibilities · Deploy large-scale or small language models (LLMs/SLMs) using inference engines (e.g., vLLM, Triton, etc.). · Collaborate with research and data science teams to fine-tune models or build automated fine-tuning pipelines. · Extend inference-level capabilities by integrating advanced features such as multi More ❯

CSD) function in HMRC Security. CTO covers a diverse range of responsibilities across the span of anti-phishing, brand abuse management, cyber threat intelligence, data science, and threat hunting. We are seeking an G7 Cyber Threat Intelligence Lead, who will report to the G6 Head of CTO. The More ❯

CSD) function in HMRC Security. CTO covers a diverse range of responsibilities across the span of anti-phishing, brand abuse management, cyber threat intelligence, data science, and threat hunting. We are seeking an G7 Cyber Threat Intelligence Lead, who will report to the G6 Head of CTO. The More ❯

We are seeking a passionate and knowledgeable Fullstack Software Engineer with a multifaceted skill set. Immerse yourself in the exhilarating world of AI and Data Science within our cutting-edge tech environment. Collaborate with like-minded individuals, embracing the latest tools, techniques, and technologies. Fuel your professional growth More ❯

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 More ❯

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 More ❯

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 More ❯