151 to 175 of 245 Remote/Hybrid Data Science Jobs

company has recently secured fresh funding and already partners with household names such as GymShark, Sky, and RBS. They're building innovative products across Data Engineering, Data Science, and Training Services, and are looking for ambitious junior engineers to join their journey. From ...

Doing Leading a small, highly skilled team focused on network & security analytics Designing and building advanced Grafana dashboards running in Kubernetes Turning complex data into clear, insightful visualisations Developing and reviewing complex queries (Grafana, Splunk, Python) Mentoring engineers and shaping technical best practice Balancing hands-on development with technical … agile environment Solid understanding of Linux and AWS Excellent communication skills you can explain complex ideas simply A strong technical degree (Computer Science, Maths, Statistics, Engineering, or similar) Nice to Have Knowledge of networking protocols and how the internet actually works Experience with Splunk & SPL SQL or similar data ...

across the investment lifecycle, including internal builds, pilots, and vendor integrations. Define product roadmaps, assess feasibility, and drive accountability in close partnership with investment, data, and technology stakeholders. Operate an agile delivery model that rapidly experiments, iterates, and scales successful outcomes. Partner with Senior Investment Leadership Provide regular updates … high-impact AI use cases. Translate complex investment processes into intelligent, scalable agentic solutions. Help modernize the investment platform through close collaboration across investment, data science, and technology teams. Lead Development of Agentic Systems Manage teams building agentic architectures that integrate LLMs, quantitative models, enterprise data pipelines ...

Doing Leading a small, highly skilled team focused on network & security analytics Designing and building Grafana dashboards running in Kubernetes Turning complex data into clear, insightful visualisations Developing and reviewing complex queries (Grafana, Splunk, Python) Mentoring engineers and shaping technical best practice Balancing hands-on development with technical leadership … agile environment Solid understanding of Linux and AWS Excellent communication skills — you can explain complex ideas simply A strong technical degree (Computer Science, Maths, Statistics, Engineering, or similar) Nice to Have Knowledge of networking protocols and how the internet actually works Experience with Splunk & SPL SQL or similar data ...

comfortable collaborating across multidisciplinary teams Strong communication skills for customer engagements, design reviews, and vendor interactions Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer … science Strong systems architecture skills and experience producing architecture artifacts and decision records Experience with separation kernels/secure microkernels/hypervisors (seL4, PikeOS, ARINC 653, Xen, QEMU/KVM, Wind River Helix Virtualization for embedded) Familiarity with safety certification standards such as DO 178C ...

price optimisation analysis and modelling using advanced techniques. Develop customer propensity and Lifetime Value (LTV) models. Build and maintain sophisticated pricing models with advanced data science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms … e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking ...

Data Scientist Hybrid Working – Local Site – 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme. What … fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or Cognos you’ll create compelling visualisations that bring data to life. Contribute to the development ...

opportunity is ideal for someone who enjoys collaboration, problem-solving, and pushing technical boundaries. What's on offer Work on forward-thinking AI and data-led projects Join a growing, collaborative, and innovative team Opportunities for continuous learning and career development Competitive salary and comprehensive benefits Hybrid working - their … driven APIs API Development & Cloud Engineering Develop secure and efficient RESTful APIs to support AI and enterprise systems Deploy and manage AI/data workloads via Azure OpenAI, Azure Kubernetes Service (AKS), and Azure Container Apps DevOps & Infrastructure Use Azure DevOps and GitHub for CI/CD, version control ...

days onsite, Central London) | £75,000 - £85,000 + benefits A high-growth technology company operating at the intersection of real-time data, analytics, and cutting-edge product development is entering an ambitious expansion phase and is looking to hire a Senior Software Engineer to play a key role … fast-moving environment. What you'll be working on Building and evolving high-performance, real-time platforms that process and deliver live data Developing production-grade systems end-to-end, from requirements and design through to deployment and support Working across modern backend and frontend technologies, contributing to system ...

Main Responsibilities as a Senior AI Engineer: Help shape the AI roadmap across use cases and technology. Work with stakeholders to understand processes and data, identifying high-value GenAI opportunities. Contribute to scalable, innovative AI delivery as part of the Data Science & AI team. Collaborate with … cross-functional squad — DevOps, data engineers, developers, testers and Infosec — to productionise AI services in AWS. You’ll be a key technical mentor within the team, helping to guide junior engineers and elevate our engineering standards. Skills and experience you need as a Senior AI Engineer: Experience delivering ...

Platform infrastructure. Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads. Collaborate closely with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment and operational efficiency. Mentor and coach team members, fostering a culture of knowledge sharing, technical ...

SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions. Monitor, troubleshoot, and enhance existing automation and AI systems to ensure high availability … features and emerging technologies in automation and AI, applying best practices to drive continuous improvement. Supervisory/Managerial responsibilities Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Proven experience in software engineering with a focus on automation and AI applications. Hands-on expertise ...

Senior Data & AI Scientist | Up to £80,000 + 10% Bonus | Hybrid (London 3 days) Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that’s embedding AI into everything from customer interactions to internal tools. We’re looking … experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: Develop and prototype ...

Senior AI Engineer, you will own the delivery of end-to-end AI solutions, sitting at the intersection of software engineering and data science. You'll work closely with teams across the business to turn problems into working, measurable AI products that deliver real value. Specifically, you can expect … involved in the following: Designing, building, and running AI solutions Combining software engineering, data engineering, and machine learning/LLM skills to deliver robust AI products Leading medium to large AI initiatives independently, making technical decisions and trade-offs Working closely with stakeholders Building reusable AI components, services ...

Kneu is building the next era of neurology care using clinically validated smartphone monitoring, real-world data, AI insight, and deep clinical integration. Backed by Oxford-led research and FDA clearance, we help care teams act earlier and give patients greater clarity and confidence. Kneu is live with … Youll work on services and infrastructure that clinicians rely on for decision-making, enable patients to access impactful tools day to day, and support data science workflows that unlock new insights for research and care. What Youll Be Doing Build and maintain backend services that are secure, reliable ...

Principal Product Manager - Fully Remote - UK This is an incredible opportunity to own brand-new AI-powered data products end-to-end inside a global SaaS business valued at over 1.3bn , connecting more than 300 million users across 130+ countries. You'll join a company at the forefront … ResTech, building entirely new AI and synthetic-data products within their platform, not maintaining legacy tools. You'll work closely with data scientists, engineers, and commercial leadership to define the strategy, shape the vision, and take AI-driven research products to market to drive real revenue impact. What ...

senior level Data Scientist looking for the autonomy to thrive within a start up environment? Would you like to join an organisation that truly enables it's employees to make business critical decisions that will have tangible results in real time? You have the opportunity to join a Scottish ...

Senior Python Engineer to help build cutting-edge software used by top global brands for forecasting, optimization, and analytics. This isn’t a data science role, it’s all about engineering powerful, scalable Python solutions that bring mathematical models to life. 🛠 What you’ll do: Build, maintain … improve Python modules for analytics and optimization. Implement advanced algorithms for forecasting, econometrics, and marketing mix modeling. Handle large-scale data and optimization challenges while keeping performance and scalability in mind. Apply software engineering best practices—SOLID principles, design patterns, unit & integration testing. Work with modern tech: NumPy, SciPy ...

systems (such as finance or trading), AWS, and CI/CD pipelines will be highly advantageous, as will any familiarity with IoT, firmware, or data science. This is a fantastic opportunity to secure a role in a fast-paced, hands-on environment. You will have the chance to shape ...

systems (such as finance or trading), AWS, and CI/CD pipelines will be highly advantageous, as will any familiarity with IoT, firmware, or data science.This is a fantastic opportunity to secure a role in a fast-paced, hands-on environment. You will have the chance to shape ...

during customer onboarding and rest of the lifecycle. You will be working in a cross-functional team of product managers, product designers, engineers, and data scientists who develop and maintain the products. You will also be partnering with various areas in the bank to offer advice and support ...

design resilient systems for high-impact environments. Key Responsibilities AI/ML Security Oversight: Evaluate and secure the entire AI lifecycle, including model governance, data pipelines, and deployment patterns. Threat Modeling: Conduct advanced security assessments and risk analysis across cloud, on-premise, and hybrid environments. Risk Mitigation: Advise clients … emerging AI risks such as prompt injection, model poisoning, data leakage, and adversarial attacks. Architecture Design: Recommend secure architectures for LLM-based systems, automation workflows, and decision-support platforms. Policy & Governance: Develop security standards and guidelines for responsible AI use, aligned with emerging regulatory frameworks. Collaboration: Partner with engineering ...

Role Purpose The Data Engineer-KPI Dashboard will design, build, and maintain robust data pipelines and architectures to enable AI-driven solutions for business, ensuring frameworks can scale across all OpCos. This role demands consultancy-level technical depth combined with a strong delivery discipline. Contract - 6 months Location … around Heathrow Hybrid - 2 to 3 days onsite Rate - Flexible day rate (inside IR35) Key Responsibilities Develop and optimize data pipelines for ingestion, transformation, and storage. Ensure data quality, integrity, and security across systems. Collaborate with Data Scientists and Analysts to enable advanced analytics. Implement best practices ...

investors to discover opportunities, perform due diligence, and defend portfolios. Key Responsibilities Designing, implementing, and maintaining AI/ML models to analyse blockchain data at scale. Translating complex datasets into insights that inform investment and trading strategies. Working with product teams to build AI-powered features directly into … behaviours across blockchain data. Integrating LLM-based capabilities into customer-facing products. What We’re Looking For 3–6 years of experience in Data Science or ML Engineering. Strong Python skills and hands-on experience building end-to-end ML solutions. Interest in blockchain, crypto, or fintech (commercial ...

concepts, tools, and best practices. Support learners across an extended transformation journey, guiding them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure … Hold a Level 3 teaching qualification or above or work towards achieving a L3 Teaching qualification. Have practical experience in AI, machine learning, or data science, including hands-on experience with AI tools, frameworks, and technologies. Be proficient in Microsoft Offices packages, including Word, Excel, and PowerPoint. Have ...