751 to 775 of 6,445 Data Science Jobs

product capabilities. With a focus on applied machine learning, generative AI, and cloud- tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. … Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model … growth of others through coaching, peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Documentation & Continuous Improvement Contribute to internal documentation and knowledge sharing More ❯

Lead Machine Learning Engineer, Associate Director based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. About the Team The Fitch Group's AI Implementation Chapter is seeking a … initiatives, ensuring the integration of ML solutions into existing workflows by collaborating with product squads and business stakeholders Develop robust, production-quality software artifacts using Python and large-scale data workflow orchestration platforms (e.g., Airflow), while managing team resources & timelines Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure Champion ML governance, ensuring More ❯

capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. … Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model … growth of others through coaching, peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and More ❯

performance tuning, and troubleshooting to maintain high standards of reliability and efficiency. Collaboration and Communication: Foster strong cross-functional collaboration with other teams such as UX/UI design, data science, and operations. Communicate project status, risks, and opportunities to senior management and stakeholders effectively. Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or … to articulate complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing. Certifications in relevant technologies or project management (e.g., PMP, Scrum Master). More ❯

Lead Machine Learning Engineer, Associate Director based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for More ❯

UK, Germany. The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI, Enterprise Applications, Workplace Services and Cyber Security & Networking. Values: Open, Trusted and Bold HPE: Platinum Partner – FY23 UK&I Solution Provider of the Year Palo Alto & Crowdstrike: part … NextDefense Cyber Security Portfolio Fortinet: Elite VIP Program – one of only 2 in the UK AWS: Advanced Solution & Managed Service Provider Program ROLE The role is aligned to our Data&AI division focussed on early-stage engagement with clients, helping our commercial teams structure and estimate programme deliveries. The role will involve a deep knowledge of the technology we … and how we do it with the Microsoft Technology stack. It will suit a technically minded person who has previously had strong experience in a consultancy role, delivering enterprise data platform solutions and working with clients to scope, design and estimate new projects. You may also have worked in a pre sales role before, but this is not essential. More ❯

Lead the architecture and design of AI solutions Work closely with clients to understand their business challenges and translate these into effective AI strategies Collaborate with software engineers and data scientists to drive the full lifecycle of AI solutions from concept and architecture to production deployment Ensure that AI solutions are scalable, maintainable, and adhere to security best practices … the team Requirements Proven experience as a Solutions Architect or in a similar role with a strong focus on AI and machine learning Solid understanding of machine learning algorithms, data structures, and statistical modelling Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn Strong programming skills in languages such as Python, Java, or Scala Strong … articulate technical concepts to non-technical stakeholders Any experience around AWS Bedrock, Google Vertex, AI Studio would be preferable Experience around leading teams and engagements A degree in Computer Science, Data Science, or a related field; advanced degrees are preferred Benefits About Digiterre Digiterre is a software and data engineering consultancy that enables technological and organisational More ❯

diffusion models Analyze large datasets to uncover patterns, insights, and opportunities for machine learning applications Optimize and fine-tune models for performance, scalability, and accuracy Build and maintain scalable data pipelines for model training and deployment Provide technical guidance and mentorship to junior data scientists and engineers Communicate complex technical concepts and results to non-technical stakeholders in … progress reports, and final presentations Participate in client meetings and workshops to showcase AI capabilities and provide thought leadership on AI strategies Requirements Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Proven experience (3+ years) in machine learning and generative AI, with a strong portfolio of projects involving models like … AWS, Azure, Google Cloud) and MLops tools for model deployment and management Excellent problem-solving skills with a strong ability to identify and troubleshoot issues in model performance and data quality Effective communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences Ability to work independently as well as collaboratively in More ❯

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 ❯