451 to 475 of 522 Remote/Hybrid Data Science Jobs

Data Science Festival is looking for a Staff Software Security Engineer in London. This pivotal role focuses on securing applications and cloud infrastructure. You will drive security initiatives across engineering teams, conduct security assessments, and influence security strategy. The position offers a salary ...

Data Science Festival is looking for a Lead Software Security Engineer to join their collaborative engineering team in London. This role involves driving application security initiatives and improving security processes within a fast-growing technology business focusing on AI products. You will work closely with developers and technical ...

pension contribution, 25 days holiday, and life insurance Location:Portsmouth, hybrid working Sirius Digital is a trusted provider of expertise in Software Engineering, Data Science, and AI, supporting clients in the defence, nuclear, space, and energy sectors. We xkybehq specialise in software modelling and si Find ...

Linux role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today. ...

Empire ABC7 News: The State of Children's Privacy Online NBC News: How many apps are tracking your children Our team of lawyers, data scientists, engineers, economists, and researchers spans globally with presence in California, New York, Washington, DC, London, and Singapore. Role Overview At Pixalate, we are building ...

experienced Senior Python Software Engineer to help design, develop, and maintain robust backend systems and APIs. You'll work closely with product managers, data scientists, and other engineers to deliver reliable, scalable, and secure software. Key Responsibilities Design, develop, test, and deploy scalable backend services using Python. Write clean … Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer Science or a related field (or equivalent experience). Preferred Qualifications Experience with CI/CD pipelines and test-driven development. Exposure to asynchronous programming ...

ensure the delivery and quality of engineering projects. This role is pivotal in driving Biorelate's mission of improving drug discovery through innovative data science solutions. #J-18808-Ljbffr ...

designing, developing and maintaining backend systems that power modern applications and AI-driven platforms. You'll work closely with frontend engineers, product teams, data scientists and stakeholders to deliver robust, secure and high-performance solutions. The role combines backend engineering, cloud infrastructure, API development and MLOps, making it ideal … architectures Collaborative engineering culture with strong technical ownership Career development opportunities within a rapidly growing technology business Access to cutting-edge technologies across cloud, data and AI If you're an experienced Python Backend Engineer looking to work on scalable systems, cloud infrastructure and AI-driven technologies ...

designing, developing and maintaining backend systems that power modern applications and AI-driven platforms. You'll work closely with frontend engineers, product teams, data scientists and stakeholders to deliver robust, secure and high-performance solutions. The role combines backend engineering, cloud infrastructure, API development and MLOps, making it ideal … architectures Collaborative engineering culture with strong technical ownership Career development opportunities within a rapidly growing technology business Access to cutting-edge technologies across cloud, data and AI If you're an experienced Python Backend Engineer looking to work on scalable systems, cloud infrastructure and AI-driven technologies ...

designing, developing and maintaining backend systems that power modern applications and AI-driven platforms. You'll work closely with frontend engineers, product teams, data scientists and stakeholders to deliver robust, secure and high-performance solutions. The role combines backend engineering, cloud infrastructure, API development and MLOps, making it ideal … architectures Collaborative engineering culture with strong technical ownership Career development opportunities within a rapidly growing technology business Access to cutting-edge technologies across cloud, data and AI If you're an experienced Python Backend Engineer looking to work on scalable systems, cloud infrastructure and AI-driven technologies ...

Title: Product Data Scientist - Hybrid - Up to £80,000 Location: London (Hybrid, 2 days p/w in office) Salary: Up to £80,000 + benefits Contract: Permanent The Company A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer … focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist , you'll work ...

Data Scientist (Python SQL Maths) Newcastle onsite to £80k+ Are you a Data Scientist, with a first class education and strong Python programming skills? You could be progressing your career, as a Data Scientist, working on complex and interesting systems at a FinTech scale-up, they have … secure backing and an established Hedge Fund client as a partner. As a Data Scientist you'll be mainly using backend Python and SQL to investigate data sets, analysing and manipulating large, novel data sets to understand financial trends and present these findings to the business. There ...

Senior Data Scientist – Loan Deal Scoring & LLM Workflows - (Remote, Outside IR35) Overview We’re partnering with a high-performing applied AI team delivering advanced analytics solutions within financial services. They are seeking a Senior Quant Data Scientist to help build next-generation loan deal scoring models combining traditional … permanent conversion). Key Responsibilities Develop and deploy ML models for loan/deal scoring (classification, regression, ranking) Analyse financial, credit, and time-series data to extract predictive signals Build and benchmark models such as: Gradient boosting (XGBoost, LightGBM, CatBoost) Random Forests Logistic/linear regression Design LLM-powered ...

Data Science Festival is looking for a Staff Security Engineer to join their innovative team in London. This hybrid role focuses on securing applications, cloud infrastructure, and embedding security within the software development lifecycle. The successful candidate will drive application and product security initiatives, conduct security reviews ...

solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture … leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities ...

solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture … leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities ...

solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture … leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities ...

sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco‐friendly practices in state‐of‐the‐art, geo‐diverse facilities. Tether Data: Fueling breakthroughs in AI and peer‐to‐peer technology, we reduce infrastructure costs and enhance global communications with cutting‐edge solutions like KEET … flagship app that redefines secure and private data sharing. Tether Education: Democratizing access to top‐tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries ...

Overview iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer resilience against deepfakes and generative AI threats while ensuring scalable user experiences. Trusted … teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone who can think strategically about ...

driven features within HP Wolf Security products. Develop high-performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability, and resource utilisation on endpoint devices. Develop data … learning workflows, automation, or tooling. Understanding of software development lifecycle, testing methodologies, and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. A Great C++ AI/ML Software Engineer Will Have Exposure To The Following: Machine ...

Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes and embedding data and AI solutions in business. You’ll scale AI solutions responsibly and reliably, ensuring they move from lab to live by building the right … creation and impact. In this position you will play a key part in: Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management Delivering solutions using the latest GenAI and Agentic Frameworks ...

global technology and transformation consultancy — consistently ranked among the best places to work in the UK — to find an AI Engineer for their expanding Data & AI practice. They are looking for someone who can take AI from prototype to production, building and operationalising ML and GenAI systems that land … business impact for enterprise clients across the public and private sectors. What the role involves: Designing and delivering full AI/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores Architecting GenAI solutions: RAG pipelines, agentic workflows, LLM orchestration across Azure ...

global technology and transformation consultancy — consistently ranked among the best places to work in the UK — to find an AI Engineer for their expanding Data & AI practice. They are looking for someone who can take AI from prototype to production, building and operationalising ML and GenAI systems that land … business impact for enterprise clients across the public and private sectors. What the role involves: Designing and delivering full AI/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores Architecting GenAI solutions: RAG pipelines, agentic workflows, LLM orchestration across Azure ...

global technology and transformation consultancy — consistently ranked among the best places to work in the UK — to find an AI Engineer for their expanding Data & AI practice. They are looking for someone who can take AI from prototype to production, building and operationalising ML and GenAI systems that land … business impact for enterprise clients across the public and private sectors. What the role involves: Designing and delivering full AI/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores Architecting GenAI solutions: RAG pipelines, agentic workflows, LLM orchestration across Azure ...

Data Scientist £375pd inside IR35 London with Hybrid working Number of days a week worked in the office: 3 + on demand in case of any important meetings Initially 3 months with possible extension Build statistical and machine learning models using advanced techniques such as clustering, regression, predictive analytics. …/ML models (e.g., clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/ ...