1,851 to 1,875 of 2,225 Data Science Jobs

network for the world's money. For everyone, everywhere. More about our mission and what we offer . We’re looking for a Lead Data Scientist to join our Pricing team in London. This is a rare chance to shape how Wise prices cross-border money transfers — using data … millions of customers who rely on us for fair, transparent pricing About the Role: We are seeking a skilled and detail-oriented Data Scientist to help us develop a data-driven approach to pricing strategy and execution in a highly competitive remittance market. As part of this team ...

Ascent Software is seeking a Senior Data Engineer to design, build and optimize data platforms using Microsoft Fabric, Azure Databricks and Synapse. You will develop scalable pipelines and transform complex datasets to unlock business value. You will collaborate with data scientists, analysts and software engineers, implement governance ...

Architect/Engineer (Agentic AI & LLM Architecture) Permanent contract UK Wide (London, Edinburgh, Manchester, Leeds, Birmingham) Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from … their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description As our AI practice scales ...

Overview Working closely with Business Integrators, data scientists, engineers, and client stakeholders, the AI Solutions Engineer leads the technical design and implementation of AI-driven solutions. The role combines deep technical expertise with leadership skills to guide teams in building high-quality AI systems that deliver real business value. … Solutions Engineer also ensures that solutions are aligned with enterprise architecture standards, data governance principles, and responsible AI practices. Key Responsibilities Design AI Solution Architectures Translate business use cases into scalable AI and data architectures. Define the technical approach for AI solutions, including model architecture, data pipelines ...

/Week Onsite) Type: Contract Inside IR35 Exp: 5 to 10 Years A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven Note: Investment banking … required. Key Responsibilities Backend Development (Python) Build APIs and services using Python frameworks (Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta ...

responsible for designing, deploying and optimising machine learning models, LLM‐powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering … deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool‐calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/ ...

engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history. AWS data centers are the foundation upon which our software and services operates to meet the growing demands … customers. This role provides the opportunity to collaborate with business development, design engineers, data center operations professionals, external vendors and consultants, and other cross-functional teams to assess and select colocation facilities that meet our business requirements. In this role you will be able to showcase your in-depth ...

seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data-driven decision-making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance … Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high-quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support ...

fully on site role, and candidates for this role are required to hold an active DV security clearance. Hexegic are looking for technically minded data and software engineers to work on an intriguing and exciting project, building and maintaining data pipelines and platforms for our customers … military setting. Our growing team ensure data driven projects can be rapidly prototyped and delivered in line with customer needs. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that ...

Head of Learning & Development (Global) London, UK About Datatonic Datatonic is a leading global data and AI consultancy, driving business transformation for the world's most ambitious brands. As a premier Google Cloud Partner, we combine cutting-edge technology with top-tier talent to deliver high-impact solutions across … Cloud Data Engineering, Analytics, and Advanced Machine Learning/Generative AI. We don't just implement technology; we foster a continuous learning culture. We are looking for a visionary, commercial, and deeply strategic Head of L&D to own our global learning ecosystem, scaling our internal technical excellence ...

/CD, monitoring, alerting, and disaster recovery; Develop MLOps capabilities with Terraform and AWS infrastructure; Support ML governance for hundreds of models; Build data engineering solutions for distributed processing at terabyte scale; Prove the value of new methodologies and algorithms across cross-team domains; Estimate and measure impact; Mentor … junior members in experiment design. Требования Extensive experience with end-to-end distributed data systems, especially ML-centric systems; Previous experience as a Data Scientist in a large-scale product team or business; Excellent Python and Software Engineering knowledge; Ability to work with Java when needed; Demonstrable experience ...

machine learning in financial services. You will lead innovative projects that deliver real business value, working closely with talented colleagues across Product, Engineering, Data, Risk, Compliance, and Operations. We offer opportunities for growth, hands-on technical challenges, and the chance to make a meaningful impact. Your leadership and expertise … modelling, experimentation, and deployment architecture Unblock teams on complex technical issues with hands-on support Build, coach, and develop a high-performing team of data scientists, business analysts, and engineers Establish repeatable practices for data quality, evaluation, deployment, and monitoring Define and deliver the Applied AI/ ...

Senior Software Engineer (AI) Department: Tech - AI and Data Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval) Aurora helps governments, investors, and utilities make billion‐dollar decisions … where LLMs autonomously plan, and call tools, to navigate large, multi‐dimensional, fast‐evolving data. Your work will amplify the value of Aurora's data, models, and forecasts to researchers, investors, and policy‐makers around the world, and directly impact the decisions that drive the decarbonisation of grids around ...

Machine Learning Engineer DATA & MACHINE LEARNING | FINANCIAL SERVICES Most machine learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data … model registry. Monitor production ML services and manage model upgrades and retirement. Use Terraform and Docker to create scalable, repeatable infrastructure. Work with data scientists to turn research code into maintainable production software. Collaborate with data, platform and application engineers to integrate ML services into products used across ...

London The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. … battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 80+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance ...

Work on analytics platforms that support highly sensitive, mission‐critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client: We’re partnering with … leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission‐critical solutions. Operating at the forefront of data, cloud ...

success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi‐disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high‐impact features – we favour a highly iterative ...

models to detect financial crime and fraud, while protecting genuine customers and optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part … contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs Adapt quickly to changing fraud ...

models to detect financial crime and fraud, while protecting genuine customers and optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part … contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs Adapt quickly to changing fraud ...

actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models; it now needs the engineering capability to deploy them properly, monitor them and make them usable across the organisation. … model registry. Monitor production ML services and manage model upgrades and retirement. Use Terraform and Docker to create scalable, repeatable infrastructure. Work with data scientists to turn research code into maintainable production software. Collaborate with data, platform and application engineers to integrate ML services into products used across ...

actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models it now needs the engineering capability to deploy them properly, monitor them and make them usable across the organisation. … model registry. Monitor production ML services and manage model upgrades and retirement. Use Terraform and Docker to create scalable, repeatable infrastructure. Work with data scientists to turn research code into maintainable production software. Collaborate with data, platform and application engineers to integrate ML services into products used across ...

retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding … closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa ...

recent polygraph Must be willing and able to work fully onsite at the location listed in this posting Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline, or equivalent experience Expert-level software engineering experience; the RFQ identifies the position as requiring 12+ … supporting government or Intelligence Community programs Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A , Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity ...

infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance. Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases. Implement automated systems for continuous training, validation … performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage. Qualifications Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3+ years of experience working with machine learning and artificial intelligence technology. Strong understanding of core ...

Artificial Intelligence and Machine Learning solutions for defence, security and other demanding operational environments. Our client has a highly experienced team of Software Engineers, Data Scientists, Machine Learning specialists and Researchers. The company is growing rapidly and is now looking for a highly capable individual to work closely with … company and its technology. Essential experience: The successful Founder’s Associate will need: A strong educational background in a STEM subject such as Computer Science, engineering, mathematics, physics or a related discipline. Experience working within a technology, engineering, scientific, research or similarly technical environment. The ability to understand complex ...