526 to 550 of 583 Remote Data Science Jobs

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be really … well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong skills in Python scripting skills Strong … understanding of LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be really … well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong skills in Python scripting skills Strong … understanding of LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working More ❯

A brand new vacancy for a Senior Data Scientist with an incredible biotech start-up has become available, based at state of the art offices and labs in West London (W12) . The Senior Data Scientist will design algorithms for data analysis of protein sequencing data. Key Responsibilities Research, design, and implement algorithms for analyzing time-series … data from our core technologies Collaborate with data scientists and engineers to integrate models into pipelines and tools. Stay current with academic and industry advances in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In … transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing or adapting dynamic programming algorithms. A graduate degree (PhD or MSc) in Computer Science, Mathematics, Physics, Bioinformatics, or a related field Ability to work in a research-style setting and translate ideas into production-ready code. There is an excellent salary and benefits More ❯

Your Mission We're not just another company piping our data into someone else's black box. We build our own AI stack - scalable, secure, and 100% under our control. If you're tired of patching together pipelines that nobody understands or maintaining legacy ETL monsters, keep reading. As our Data Engineer - AI , you'll own the architecture … and operations of our AI applications - from raw data to production-grade services. You'll work side by side with Data Scientists to make models actually usable , and you'll drive the technical backbone of products that run at scale. Real engineering : You're not just gluing APIs - you're building systems Visible impact : Your work powers live … AI-focused by design, not by buzzword Shape the future : You're part of the journey, not just maintaining what's already there Activities Design, build & run : Architect scalable data backends to power our AI-driven products Bridge the gap : Work closely with Data Scientists to turn prototypes into production Automate & optimize : Ensure stability and performance of our More ❯

Your Mission We're not just another company piping our data into someone else's black box. We build our own AI stack - scalable, secure, and 100% under our control. If you're tired of patching together pipelines that nobody understands or maintaining legacy ETL monsters, keep reading. As our Data Engineer - AI , you'll own the architecture … and operations of our AI applications - from raw data to production-grade services. You'll work side by side with Data Scientists to make models actually usable , and you'll drive the technical backbone of products that run at scale. Real engineering : You're not just gluing APIs - you're building systems Visible impact : Your work powers live … AI-focused by design, not by buzzword Shape the future : You're part of the journey, not just maintaining what's already there Activities Design, build & run : Architect scalable data backends to power our AI-driven products Bridge the gap : Work closely with Data Scientists to turn prototypes into production Automate & optimize : Ensure stability and performance of our More ❯

Staff Data Scientist Salary: £90K - £100K Location: London - Hybrid Overview: Data Idols are working with a leading disruptor in the tech industry that is fundamentally reshaping how goods and services move in the online era. Backed by record-breaking investment and scaling faster than almost any other startup, they're building one of the most talented data … models and infrastructure to detect, prevent, and resolve issues before they scale, ensuring trust, efficiency, and world-class customer experience. Using Python, SQL, cloud-native infrastructure, and large-scale data processing tools, you'll develop production-grade ML models that power live decision-making. What You'll Be Doing: Designing and deploying production-grade ML models that drive live … vision Building fraud and anomaly detection models using geospatial and behavioural signals. Partnering with engineers to scale pipelines, compliance monitors, and detection systems. Leading scientific direction and mentoring other data scientists to maximise impact. If you are a Staff Data Scientist looking for a high-impact role where your expertise directly shapes a fast-scaling network, please submit More ❯

value of new ideas, integrating AI with front-end and back-end systems. AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data and enhance customer experience. Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical Innovation: Leverage technologies like large language … environments (AWS/Azure) and enhance deployment efficiency with CI/CD pipelines. Design Skills Application: Contribute to user interface and experience aspects, focusing on intuitive AI interactions and data visualizations. Knowledge Sharing: Mentor team members in emerging AI technologies and modern development practices. Stakeholder Interaction: Collaborate with stakeholders to refine requirements and validate technical aspects of innovations. Skills … full-stack developer with proficiency in multiple languages and technologies, particularly in AI engineering. Hands-on experience with advanced technologies such as large language models (LLMs), computer vision, and data science. Strong background in innovation and POC development, with a focus on idea generation rather than product management. Experience in startups or small businesses, adept at navigating agile environments More ❯

management for Digital & AI initiatives including: Statistical animation tools for performance visualisation Development for product traceability and compliance Generative AI applications for internal and customer-facing solutions Collaborate with data scientists, engineers, product managers, and external partners to define project scope, deliverables, timelines, and success metrics Manage project plans, budgets, risks, and resources to ensure timely and high-quality … Support documentation, compliance, and integration with broader digital transformation efforts Profile Proven delivery in technical project management, preferably in AI, digital delivery, or software development environments Strong understanding of data pipelines, machine learning work-flows, and cloud platforms (e.g., Azure, AWS, GCP) Familiarity with tools such as JIRA, Confluence, Gi.t, and project management software Excellent communication, organisational, and leadership More ❯

need to qualify for UK security clearance to be considered for this role.** Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic More ❯

projects. Why Join? Here, your work means more: Make an impact by shaping AI security frameworks for innovative enterprise projects. Be part of challenging, future-defining programmes in AI, data, and cloud security. Collaborate with industry experts and multidisciplinary teams , while driving standards in one of the most rapidly evolving technology landscapes. The Role As an AI Security Architect … you will: Define and implement AI/ML security strategies, standards, and guidelines . Design and own enterprise security architecture for AI/ML systems, CI/CD, and data pipelines. Conduct security risk assessments and threat modelling for AI/ML workloads. Support testing of AI/ML models, including trustworthiness, fairness, bias, and adversarial attack detection. Collaborate … with data scientists, engineers, and stakeholders to embed security controls in AI/ML pipelines. Enforce robust access control, authentication, and encryption standards . Stay ahead of emerging AI security threats, regulations, and frameworks . Provide advisory guidance to cross-functional teams during AI/ML system design and deployment. Contribute to regulatory compliance efforts (EU AI Act, GDPR More ❯

ISO 27001, ISO 20000, ISO 56002 & CMMI L3 SVC + SSD certified, and we provide expert consulting services in areas such as Information Technology, Management Consulting, Cyber Security and Data Science. We leverage cutting-edge technologies, best practices and a creative technological edge to keep our clients ahead of the curve. Role Description Determines, develops, or manages technical solutions … Experience in database management Experience in cloud technology such as AWS, Google Cloud Platform, etc. Understanding of containerization technologies such as Docker and Kubernetes Bachelor's degree in Computer Science or related field Strong communication and problem-solving skills Experience with DevOps methodology Certifications in AWS, Azure, and/or Google Cloud Platform are a plus MAGNUS Management Group More ❯

ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our … make better financial decisions while strengthening their connection with the bank. Every model we build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop … Machine Learning Scientist. This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems. We're talking More ❯

ML lifecycle, from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. About our … make better financial decisions while strengthening their connection with the bank. Every model we build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop … Machine Learning Scientist. This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems. We're talking More ❯

Job Role: Insights Data & AI Technical Portfolio Manager Location: Remote based – WFH Salary: Competitive Excellent Benefits Recruiter: Chapman Tate Associates IR35 Status: Outside Contract Length: 3-6 months – strong possibility of extension Day Rate: £650-750 per day About the Opportunity Chapman Tate Associates are proud to be working with a leading global professional services organisation that is investing … heavily in Data, AI, and digital innovation . Our client is transforming the way they deliver services to their customers worldwide, creating a next-generation digital ecosystem that leverages AI and advanced data solutions. This is a unique opportunity to join a forward-thinking organisation where your expertise in portfolio and delivery management will shape innovation at scale. … The Role As an Insights Data & AI Technical Portfolio Manager , you will be responsible for managing a portfolio of AI and data-driven initiatives that enhance client service, improve operational efficiency, and ensure regulatory compliance. You’ll act as the bridge between senior business stakeholders and technical teams, ensuring strategic alignment, timely delivery, and the highest standards of More ❯

for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your … to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering data More ❯

for a Senior Backend Developer to join their award-winning Insurance division. As part of a mixed technical team including back-end developers, testers, front-end developers and actuarial data scientists, you’d be working on their market-leading insurance application, used by some of the largest London Market and International insurers to assess over £200bn in reserves. Your … to design Driving better integration between their C# and Python codebases, rewriting and restructuring code where needed to improve cohesion Address any performance bottlenecks and optimise performance of complex data workflows Championing best practice and guiding the junior team members What they’re specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering – data More ❯

and HTS • Remove financial barriers to travel, enabling more people to explore the world affordably As a Senior Product Manager, Payments, you'll sit at the intersection of engineering, data, design, and finance. You'll own high-impact initiatives across core payments infrastructure, checkout optimization, payment method expansion, and authorization rate improvements. You'll need to be highly analytical … from idea to launch, owning prioritization, scoping, and delivery of high-impact features. Partnering with engineering to break down complex technical problems and ensure clarity across teams. Collaborating with data scientists to deeply analyze customer behavior, payment performance, and opportunities for optimization. Working cross-functionally with business stakeholders (Finance, Operations, Legal, BD) to align on goals and develop scalable … global payments, APMs, real-time payouts, and regulatory changes that may impact our roadmap. This is a highly cross-functional role where you'll need to combine product instincts, data-driven thinking, and technical curiosity to build and scale payment experiences that are trusted, efficient, and delightful. An ideal candidate has 5+ years of Product Management experience , with at More ❯

Job Title: Data Scientist (Contract) Location: London (Hybrid - 1 office visit a week) Duration: 6 months Start Date: ASAP Outside IR35 A global consultancy is seeking a Data Scientist to join its internal transformation team focused on delivering AI-driven solutions across tax and legal services. This is a contract role within a high-performing data and … best practices: version control, testing, deployment Ability to collaborate with AI engineers and translate prototypes into scalable solutions Desirable Skills: Experience optimizing workflows and building scalable AI pipelines Strong data analytics and visualization capabilities (Excel, Alteryx) Understanding of Responsible AI principles and practices More ❯

Job Title: Data Scientist (Contract) Location: London (Hybrid - 1 office visit a week) Duration: 6 months Start Date: ASAP Outside IR35 A global consultancy is seeking a Data Scientist to join its internal transformation team focused on delivering AI-driven solutions across tax and legal services. This is a contract role within a high-performing data and … best practices: version control, testing, deployment Ability to collaborate with AI engineers and translate prototypes into scalable solutions Desirable Skills: Experience optimizing workflows and building scalable AI pipelines Strong data analytics and visualization capabilities (Excel, Alteryx) Understanding of Responsible AI principles and practices More ❯

This is a fantastic opportunity to contribute to innovative products that are transforming the way finance and accounting professionals work, automating repetitive tasks, and enabling teams to focus on data-driven insights and analytics. The role You will work in a small, collaborative team with significant autonomy and the chance to take ownership of technical projects. You will contribute … across the entire product stack, from frontend interfaces to backend APIs and analytics engines. Mentorship will be provided by experienced developers and data scientists, and the role offers strong potential for career progression as the team and product suite evolve. Key responsibilities • Collaborate with a small, high-performing development team, participating in code reviews and merge requests. • Develop and … maintain full-stack solutions, including: o Frontend interfaces o Backend API layers o Data processing and analytics engines • Lead projects independently from requirements gathering through to deployment. • Mentor and support junior developers, fostering their technical growth. • Solve complex challenges involving data, analytics, and presentation within financial and professional services contexts. Skills, Knowledge & Expertise • Minimum 3 years’ professional experience More ❯

that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business More ❯

that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business More ❯

that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business More ❯

that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business More ❯

that drive innovation in image and video processing. Responsibilities Develop, train, and optimise computer vision models for real world applications. Work with large datasets including images and video, ensuring data preprocessing, augmentation, and pipeline optimisation. Deploy ML models into production, ensuring scalability, efficiency, and reliability. Collaborate closely with data scientists, software engineers, and product teams to translate business More ❯