776 to 800 of 6,542 Data Science Jobs

growing business. Their team of analysts, consultants, software specialists and Defence SMEs work closely with their customers to deliver high-impact services and solutions. They provide software applications and data science capability to support their clients' decision-making processes. As Software Engineer your role will include: Developing high quality software applications for business users. Using agile approaches to … Deploying web applications on cloud platforms such as Azure, AWS, or GCP. Experience with Redhat Openshift Container Platform. Experience with React.js. Proficiency in working with SQL and NoSQL databases. Data science techniques, including discrete event simulation. Advanced MS Excel skills, including VBA. Understanding of the UK MoD and Armed Forces. It is a requirement that the successful candidate More ❯

leadership and consultation for internal teams and external clients. Mentor junior engineers and contribute to team development and onboarding. Required Qualifications Education: Master's degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field. Several years of experience developing machine learning algorithms and working with large-scale, real-world datasets. Programming: Proficiency in Python, experience with … Java, C++, or deep learning frameworks is a plus. Tools & Platforms: Hands-on experience with Kubernetes, Docker, Linux, and CI/CD pipelines. Data Skills: Strong knowledge of SQL and database systems. Preferred Technical Skills Good understanding of AI concepts and technologies, like LangSmith, LangGraph and OpenAI. Python - Advanced proficiency. Linux - Intermediate proficiency. Docker - Intermediate proficiency. CI/CD … Competitive compensation and benefits This role is not eligible for UK visa sponsorship. The Team IQVIA NLP is a leading provider of Natural Language Processing solutions focussed on Human Data Science. NLP is a foundational technique for AI and ML and a critical enabler for IQVIA's Connected Intelligence solutions and the delivery of clinical trials and studies. IQVIA More ❯

Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding … future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline’s rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to … systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will... Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver machine learning systems at scale that drive measurable impact for our business Own the full More ❯

and Operations teams. This role offers a unique opportunity to work with a highly specialised user base at Atlassian Williams Racing on state-of-the-art simulations, real time data, bespoke analysis tools, and enabling operational excellence. We view software and data as critical drivers in our mission to advance up the grid. Your contributions will have a … in Typescript, C++ and C#, and analysis tools in Python and other scientific computing languages. As part of our modernization journey, we are adopting cloud native technologies alongside modern data platforms. Key responsibilities will include: Collaborating with users and product owners to gather requirements and translate them into technical solutions Working with the wider Software Development team to develop … Enhancing existing systems to adapt to changing requirements, increase reliability, and improve performance at scale Collaborating with other technology groups in the company to enhance and develop the shared data platform and services Conducting code reviews and mentoring junior developers to ensure best practices and improve quality Streamlining our own software development process, enabling us to deliver more to More ❯

and improving in everything they do. We support our clients with incubation services, offering ready-made capabilities supported by smart, execution-focused practitioners. The Role Are you passionate about data and transforming raw information into valuable insights? We’re seeking a talented Fabric/Data Consultant with expertise in Azure and Power BI to join our dynamic team. … This role suits someone who enjoys working with advanced technology, developing robust data architectures, and leading strategic business intelligence initiatives. If you're excited about unlocking the full potential of data for organizations, we want to hear from you. Proven experience in data engineering, with exposure to Azure Synapse, Azure Data Factory, or Databricks. Familiarity with … Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming, especially for data manipulation and engineering. A genuine interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication More ❯

and innovating in everything they do. We support clients with incubation services, offering out-of-the-box capabilities backed by smart, execution-focused practitioners. The Role Are you a data enthusiast passionate about transforming raw data into meaningful insights? We’re seeking a talented Fabric/Data Consultant with expertise in Azure and Power BI to join … our dynamic team. This role suits someone who enjoys working with advanced technology, developing robust data architectures, and leading strategic business intelligence initiatives. If you are excited about helping organizations unlock their data's full potential, we want to hear from you. Proven experience in data engineering with exposure to Azure Synapse, Azure Data Factory, or … Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent More ❯

the organization, fostering continuous improvement and innovation. We support clients with incubation services, providing out-of-the-box capabilities backed by skilled practitioners. The Role Are you passionate about data and transforming raw information into meaningful insights? We’re seeking a talented Fabric/Data Consultant with expertise in Azure and Power BI to join our dynamic team. … This role suits someone who enjoys working with advanced technology, developing robust data architectures, and leading strategic business intelligence initiatives. If you’re excited about unlocking data’s full potential for organizations, we want to hear from you. Proven experience in data engineering with exposure to Azure Synapse, Azure Data Factory, or Databricks. Familiarity with Microsoft … Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills, with a passion for optimizing workflows. Excellent communication and teamwork skills More ❯

the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics … ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a … Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong More ❯

week ago Be among the first 25 applicants LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a VML Enterprise Solutions company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your … performing colleagues. Role type: Full time Location: London, UK (Remote) Preferred start date: ASAP Job: AI Consultant LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a VML Enterprise Solutions company, is a community of individuals devoted to working on … Armed with deep technical fluency, you translate these problem statements into detailed solution roadmaps-prioritising quick-win pilots alongside scalable, long-term deployments. You then coordinate cross-functional teams-data scientists, engineers, and product specialists-to architect, deploy, and operationalise bespoke AI-driven workflows that deliver measurable ROI within months. Throughout delivery, you maintain hands-on oversight, navigating integration More ❯

is 100% free for all UK applicants. Applying through Talent Hero gives you access to global opportunities without navigating the typical hiring grind. You'll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and … excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business problems Develop scalable data pipelines for training, testing, and deploying models Collaborate with data scientists, product teams, and software engineers to integrate ML into production Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model … and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelor's degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular ML More ❯

service is 100% free for all UK applicants. Applying through Talent Hero gives you access to global opportunities without navigating the typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and … excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business problems Develop scalable data pipelines for training, testing, and deploying models Collaborate with data scientists, product teams, and software engineers to integrate ML into production Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model … systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular ML More ❯

of the world's leading economics consultancies, providing advice to international institutions, governments and blue-chip companies. We seek a detail-oriented, technically skilled Economist with strong programming and data science skills to join our Subscriptions Team in Europe. This role will support the enhancement, maintenance, and innovation of our flagship subscription products: the Global Travel Service (GTS … Global City Travel (GCT) and Air Passenger Forecast (APF) databases and associated outputs. The successful candidate will assist in refining forecasting models, expanding data-driven product features, and streamlining internal workflows under the guidance of senior team members. The role will involve working with the rest of the Tourism Economics team who are based across a range of office … locations. Key Responsibilities Assist in developing and maintaining Python-based econometric models to expand our product and data offerings (e.g., new forecast variables, scenario tools, innovative client outputs), checking & troubleshooting tools and optimise internal workflows. Collaborate with technology teams to integrate new data sources, automate processes, and deploy systems on cloud platforms (e.g., AWS, Azure, GCP, etc). More ❯

high-performing, and secure. Key Responsibilities Depending on your experience level, your role will include: Senior Developer Collaborate with traders and researchers to build high-performance trading systems Design data pipelines and ingest financial data from diverse sources Build monitoring and dashboard tools for real-time system health Increase test coverage and automate build/deployment workflows Provide … and/or Python) Strong background in hedge fund, asset management, or financial markets Solid DevOps skills: CI/CD, containerisation, source control (e.g. Git) ETL experience with financial data (including tick data) SQL and database systems knowledge Familiarity with cloud (Azure ideal, others acceptable) Excellent communication skills - confident with stakeholders and leadership What You'll Get A … ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice. LNKD1_UKTJ Seniority level Seniority level Mid-Senior level Employment type Employment type Temporary Job function Job function Engineering and Information More ❯

Writing etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service The Role: Senior AI Engineer Overview of role AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives. Collaboration: Work in tandem with the AI Product Owner and other team members to create, curate, and maintain high-quality AI assets. Ensure alignment of data architecture and data models … across different products and platforms. Hands-on Involvement: Engage in data engineering tasks as required to support the team and the projects. Conduct and own external data collection efforts - including state-of-the-art prompt engineering techniques to support the construction of state-of-the-art AI models. Stay up-to-date with new technologies and best practices More ❯

Competitive Join our team at Cooper Moss Rutland as a Project Control Manager (Power B.I), where you'll leverage cutting-edge Controls Analytics solutions to empower clients in making data-driven decisions for effective project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your … schedule, and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies … to support project continuity. Risk & Performance Management: Collaborate with the risk management team to incorporate data-driven risk models into the controls process. Quantify and integrate risk impacts into forecasts and contingency planning to provide a holistic view of project performance. Stakeholder Engagement: Work closely with project teams to understand requirements and deliver tailored analytics solutions. Communicate complex analytics More ❯

Competitive Join our team at Cooper Moss Rutland as a Project Control Manager (Power B.I), where you'll leverage cutting-edge Controls Analytics solutions to empower clients in making data-driven decisions for effective project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your … schedule, and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies … to support project continuity. Risk & Performance Management: Collaborate with the risk management team to incorporate data-driven risk models into the controls process. Quantify and integrate risk impacts into forecasts and contingency planning to provide a holistic view of project performance. Stakeholder Engagement: Work closely with project teams to understand requirements and deliver tailored analytics solutions. Communicate complex analytics More ❯

Join to apply for the Senior Solution Architect role at EDB Get AI-powered advice on this job and more exclusive features. A Little About Us EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk … manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data … to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit www.enterprisedb.com A Little About Us EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk More ❯

customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal? The … have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards. The ideal candidate will be a highly motivated individual that seeks to "tell the story" of the … data with little direction or supervision against questions with a high degree of ambiguity. Key job responsibilities • Lead business discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing. • Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the More ❯

your region vis-à-vis AWS product teams and influence our GenAI & AI/ML roadmap to best support your customers. Work with account teams, AWS specialists (solution architects, data scientists) and partners to deliver results for your customers. About the team The Specialists Organization, within Amazon Global Sales Organization (AGS), positions AWS as the leading platform for GenAI … and AI/ML workloads. We enable customers to become data-driven organizations and scale their AI capabilities. Working backwards from customer needs, we execute go-to-market plans as specialist sales and with our solution architect teams. As an AGS team member, you'll guide customers throughout their AWS journey, from new service ideation to accelerating adoption of … solutions. We think big, deliver exceptional results, and collaborate across AWS as #OneTeam. BASIC QUALIFICATIONS · Background in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps · Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience. · Fluent written and verbal communication skills in English · A passion for More ❯

of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a … Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as … the machinery which turns data into insights and executable models. The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It More ❯

pivotal role in integrating advanced computer vision, machine learning (ML), and artificial intelligence (AI) capabilities into secure, modular software environments. The Software Engineer will collaborate with multidisciplinary teams including Data Scientists, ML Engineers, and hardware developers to accelerate the delivery of mission insights by streamlining data processing, automating labeling, and optimizing model deployment. ESSENTIAL JOB FUNCTIONS Design, code … and active learning. Leverage AI/ML methods to enhance metadata, improve model validation, and increase the speed of dataset enrichment. Deploy automation technologies to reduce time spent on data exploration, cleaning, and model training. Migrate and scale vision-based analytics pipelines to secure environments while ensuring operational reliability. Implement iterative processes to enhance object detection, motion tracking, and … with quarterly delivery cycles. Maintain robust technical documentation and contribute to DevSecOps processes, ensuring continuous delivery in secure, classified environments. EDUCATION/TRAINING Required: Bachelor's Degree in Computer Science, Software Engineering, or related technical field. Preferred: Master's Degree in AI, Machine Learning, Software Engineering, or Systems Engineering. Required Certification: IAT Level II (e.g., CompTIA Security+) upon hire. More ❯

contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. AI & Optimisation Solution Strategist wanted to join our team at Satalia As an organisation, we … push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a VML Enterprise Solutions, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues. The opportunity: As an … Armed with deep technical fluency, you translate these problem statements into detailed solution roadmaps-prioritising quick-win pilots alongside scalable, long-term deployments. You then coordinate cross-functional teams-data scientists, engineers, and product specialists-to architect, deploy, and operationalise bespoke AI-driven workflows that deliver measurable ROI within months. Throughout delivery, you maintain hands-on oversight, navigating integration More ❯

Python, R, SQL, Tableau) to enable robust financial analysis and risk management. Support business planning across the Agency and Investment Directorate, ensuring effective financial planning and resource allocation. Drive data visualisation and insight, enhancing decision-making and strengthening the case for equity investment within Homes England and with key stakeholders. You’ll join a growing, experienced team committed to … Python, R, SQL, Tableau) to enable robust financial analysis and risk management. Support business planning across the Agency and Investment Directorate, ensuring effective financial planning and resource allocation. Drive data visualisation and insight, enhancing decision-making and strengthening the case for equity investment within Homes England and with key stakeholders. You’ll join a growing, experienced team committed to … real estate professional, with a passion for using your expertise to improve the affordability and accessibility of housing across all tenures. You will be comfortable navigating complex financial and data analysis, leading on technical and commercial issues, and managing senior stakeholder expectations with confidence and resilience. Your understanding of capital markets, real estate investment metrics, and asset management tools More ❯

datasets to prepare them for model training and evaluation. • Develop APIs and services to integrate ML models and AI features into broader software systems. • Collaborate closely with product managers, data scientists, and other engineers to define requirements, design solutions, and deliver high-quality features. • Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management. • Write clean, maintainable, well … engineering trends and technologies. • Troubleshoot and debug issues across the software stack, including ML model performance problems. 3. ROLE REQUIREMENTS, QUALIFICATIONS AND EXPERIENCE • MSc/PhD degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience. • Professional software development experience using languages such as Python, C, Julia, C++, or similar. • Strong proficiency in … Solid understanding of core machine learning concepts • Hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras). • Proven understanding of software engineering principles, data structures, algorithms, and design patterns. • Experience with version control systems (e.g., Git). • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills. 4. ADDITIONAL DETAILS Please note More ❯

banking processes and workflows to identify opportunities for automation and AI integration, including Gen AI, LLM, and RAG technologies. Automation & AI Integration · Work closely with technical teams, architects, and data scientists to design and implement automation solutions using tools such as Power Automate, Power Apps, and AI platforms. · Support the development and deployment of Generative AI applications (e.g., chatbots … Excellent communication, analytical, and problem-solving skills. · Experience with tools like JIRA, Confluence, or similar project management/documentation platforms. Preferred Qualifications: · Bachelor’s degree in business administration, Computer Science, Finance, or related field. · Prior experience working on AI/ML-driven projects in banking or financial services. · Knowledge of cloud AI/ML platforms such as AWS, Azure More ❯