learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based … Experience with version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep … of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model deployment and serving strategies, including containerization and microservices. • Familiarity with ML lifecycle management, including More ❯
Amazon Web Services (AWS), we are helping large enterprises build AI solutions on the AWS Cloud. We apply predictive technology to large volumes of data across a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions. As a … automation, and high-availability features of the AWS platform. You will build customer solutions with Amazon SageMaker, Amazon Bedrock, Amazon Elastic Compute (EC2), Amazon Data Pipeline, Amazon S3, Glue, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, AWS Lake Formation, and other AWS … through planning, prioritization, and delivery of complex transformation initiatives, while collaborating with relevant AWS Sales and Service Teams. Assist customers in delivering AI/data projects from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models More ❯
learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based … Experience with version control systems (e.g., Git). Familiarity with CI/CD tools and practices. Strong problem-solving and analytical skills. Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep … of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing, feature engineering, and model evaluation. Knowledge of ML model deployment and serving strategies, including containerization and microservices. Familiarity with ML lifecycle management, including More ❯
Are you a seasoned Data Scientist eager to collaborate with a team of top-tier innovators, tackling diverse products across various industries? If so, Nexaphaze could be the perfect fit for you. We're seeking an experienced Data Scientist to join our team of innovators, working on cutting … edge projects for a diverse range of clients. You'll collaborate with entrepreneurs and business leaders, helping them harness the power of data to drive business decisions, from early-stage MVPs to large-scale AI-powered products. At Nexaphaze, you'll be part of a cross-functional team with … expertise in areas like fintech, AI, IoT, and more, solving complex problems and delivering meaningful insights. What You'll Be Doing: As a Data Scientist, your responsibilities will include: Collecting, analyzing, and interpreting large datasets to solve business challenges. Building predictive models and machine learning algorithms to inform product More ❯
and mitigate potential cyberattacks. Opportunities to make an impact with bold thinking are real-and happening daily at Coalition. About the role As a Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition's underwriting. You will perform statistical analysis to provide data … selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner. Responsibilities Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights Large scale data analysis with the objective of producing valuable risk … management Deliver analysis that will directly inform the development of automated underwriting systems Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements Work alongside senior data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition Intellectual curiosity and proactive approach More ❯
As an MLOps Engineer, you will be responsible for building, deploying, and maintaining scalable machine learning infrastructure in AWS. You will work closely with data scientists, DevOps teams, and software engineers to ensure that machine learning models can be successfully operationalised, monitored, and updated in real-time environments. Key … the full machine learning lifecycle, integrating models into CI/CD pipelines (CodePipeline, Jenkins, GitLab CI) for seamless deployment and version control. Collaborate with data scientists and engineers to transition models from development to production, optimizing workflows and resource usage. Manage and optimize data pipelines, ensuring data … training, testing, and inference at scale, supporting model performance improvements. Design cloud-native, cost-efficient machine learning solutions that scale based on real-time data and increasing workloads. Required Skills & Experience: Hands-on experience with AWS services such as SageMaker, Lambda, EKS, EC2, CloudFormation, and DynamoDB for deploying and More ❯
and lead implementation projects. These professional services engagements will focus on key customer solutions such as, web applications, enterprise applications, HPC, batch processing and bigdata, archiving and disaster recovery, education and government. Professional Services engage in a wide variety of projects for customers and partners, providing collective … ELB, RDS, Route53 & S3) - Track record of implementing AWS services in a variety of distributed computing environments as well as large scale migration experience Data Center to Data Center and/or Data Center to Cloud Infrastructure automation through DevOps scripting (E.g. shell, Python, Ruby, Powershell) - Practical … Linux and Windows-based systems administration skills in a Cloud or Virtualized environment - Experience managing data center operations, including data assurance, monitoring, alerting and notifications as well as demonstrated ability to think strategically about business, product, and technical challenges Amazon est un employeur engagé pour l'égalité des More ❯
Job Title: Senior Data Scientist (AI & ML) Location: London hybrid Salary: £80-90K + Equity About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered … insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the development of AI features. You’ll be a hands-on “do-er” who’s comfortable rolling up your sleeves and executing. This role is ideal for an individual who excels at … large datasets and cutting-edge technologies. You’ll be responsible for: Building and optimising machine learning models using NLP and graph vector DBs Leveraging bigdata efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw dataMore ❯
london, south east england, united kingdom Hybrid / WFH Options
Propel
Job Title: Senior Data Scientist (AI & ML) Location: London hybrid Salary: £80-90K + Equity About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered … insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the development of AI features. You’ll be a hands-on “do-er” who’s comfortable rolling up your sleeves and executing. This role is ideal for an individual who excels at … large datasets and cutting-edge technologies. You’ll be responsible for: Building and optimising machine learning models using NLP and graph vector DBs Leveraging bigdata efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw dataMore ❯
With Confluent, organisations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day - we're creating an entirely new category within data infrastructure - data streaming. This technology … will allow every organisation to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. … of experience in quota-carrying sales roles in a competitive market with a focus on growing consumption within accounts/territory Prior experience in BigData, Consumption, Cloud, SaaS, Open Source, or Enterprise IT Solutions Previous sales methodology training (i.e. MEDDPICC, Challenger, etc.) Prior experience in leading and More ❯
and Citi standards are utilized to ensure successful delivery in a complex, global program. What you'll be doing: Ensure timely execution of technical data centric deliverables. Own the design and delivery of Services required to support Credit RWA calculations. Use independent critical thinking and data analysis to … decompose complex problems into simple deliverables. Lead working groups with Business, Quant, Finance and Technology stakeholders to identify critical data elements and design a target operating model/architecture. Translate requirements and target architectures into delivery milestones and agree deliverables and project plans with stakeholders. Maintain a hands-on … skills with ability to engage, inform and persuade senior stakeholders through discussion, presentations and use of data. Experience in managing and executing on complex data programs including the sourcing, transformation, enrichment and governance of trade data in a business role. Knowledge of Front Office market structure and trade More ❯
natively in the cloud. They are experts in building programs that run on any number of platforms including virtualized instances, containers, or serverless architecture. Data & Analytics: Data & Analytics role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial … Intelligence (ML/AI). Helping our customers use and integrate BigData services in what is arguably our industry's most exciting space. Security Consultant: Supports our services that have a focus on enabling security specialists using AWS Services including Identity Access Management (IAM), GuardDuty, Shield, Key More ❯
number of new Trading desks across both the Systematic HFT and Discretionary businesses they're now looking to hire an experienced Software Engineer/Data Engineer to work closely with Trading, Quant Research, and parallel Technology teams. This is a fast-paced, collaborative and innovative environment, suited to individuals … to work both autonomously and as part of a vibrant rapidly expanding group. Your focus will be the design, building and implementation of advanced BigData solutions, to enable the capture, ingestion, storage, and provision of Terabyte sized Alternate Datasets. Tools you'll create include ETL/ELT … Data Pipelines and Frameworks APIs Data Store Candidate's suitable for this role, will ideally have 3-8 yrs' of blended Data Engineering and Software Engineering skills, include ETL/ELT pipelines for High throughput (and Low Latency Data) Expert Python skills including OO Python Intimate More ❯
london, south east england, united kingdom Hybrid / WFH Options
Xcede Group
number of new Trading desks across both the Systematic HFT and Discretionary businesses they're now looking to hire an experienced Software Engineer/Data Engineer to work closely with Trading, Quant Research, and parallel Technology teams. This is a fast-paced, collaborative and innovative environment, suited to individuals … to work both autonomously and as part of a vibrant rapidly expanding group. Your focus will be the design, building and implementation of advanced BigData solutions, to enable the capture, ingestion, storage, and provision of Terabyte sized Alternate Datasets. Tools you'll create include ETL/ELT … Data Pipelines and Frameworks APIs Data Store Candidate's suitable for this role, will ideally have 3-8 yrs' of blended Data Engineering and Software Engineering skills, include ETL/ELT pipelines for High throughput (and Low Latency Data) Expert Python skills including OO Python Intimate More ❯
Presenting solution recommendations at the Design Authority and taking ownership of resulting actions. Providing technical guidance to the delivery team for software development, integration, data and low code solutions, e.g., Power Apps. Working with Product Managers to support with architectural design, patterns and best practices with the development of … Lifecycle Management systems. Experience in providing technical guidance and leadership. Good knowledge of integration techniques, architecture patterns and non-functional drivers. Good knowledge of data architecture (BigData, AI/ML), data warehousing and analytics. Excellent experience in technology product selection, assessing options, impact assessment and More ❯
Presenting solution recommendations at the Design Authority and taking ownership of resulting actions. Providing technical guidance to the delivery team for software development, integration, data and low code solutions, e.g., Power Apps. Working with Product Managers to support with architectural design, patterns and best practices with the development of … Lifecycle Management systems. Experience in providing technical guidance and leadership. Good knowledge of integration techniques, architecture patterns and non-functional drivers. Good knowledge of data architecture (BigData, AI/ML), data warehousing and analytics. Excellent experience in technology product selection, assessing options, impact assessment and More ❯
Presenting solution recommendations at the Design Authority and taking ownership of resulting actions. Providing technical guidance to the delivery team for software development, integration, data and low code solutions, e.g., Power Apps. Working with Product Managers to support with architectural design, patterns and best practices with the development of … Lifecycle Management systems. Experience in providing technical guidance and leadership. Good knowledge of integration techniques, architecture patterns and non-functional drivers. Good knowledge of data architecture (BigData, AI/ML), data warehousing and analytics. Excellent experience in technology product selection, assessing options, impact assessment and More ❯
in the cloud. They are experts in building programs that run on any number of platforms including virtualized instances, containers, or server less architecture. Data & Analytics - Data & Analytics role supports our services that leverage data and produce business insights, which may include using Machine Learning/Artificial … Intelligence (ML/AI). Helping our customers use and integrate BigData services. Security Consultant - Supports our services that have a focus on enabling security specialists using AWS Services including Identity Access Management (IAM), GuardDuty, Shield, Key Management Service (KMS), CloudTrail, CloudHSM, Inspector etc. A day in More ❯
is valued and diversity is celebrated. We prioritise individuality and foster an inclusive workplace where everyone feels they truly belong. What you'll do? Data is at the heart of everything we do at SuperAwesome. We are seeking a passionate and seasoned Senior Data Scientist to lead our … data science efforts. In this role, you will be a key player in shaping our data science strategy and driving innovation across the organization. You will have the opportunity to work on a diverse range of challenging and rewarding projects, from content classification and moderation to trend discovery … and the definition of synthetic personas. Responsibilities: Spearhead cross-cutting data science initiatives, collaborating with teams across the organisation to identify and solve high-impact business problems. Shape data science practices and processes across SuperAwesome, ensuring that we are using the most effective and innovative methods. Be the More ❯
regardless of title, we are committed to achieving ambitious goals and we have fun celebrating our wins. Anaplan is looking for a tenacious Senior Data Scientist to join our PlanIQ. This is a stellar opportunity to get involved in a highly visible, large scale SaaS cloud company. This role … responsible for the majority of time-based forecasting algorithmic core of Anaplan's platform. We create AI based solutions available to Anaplan's non-data scientist customers by developing engines that connect to customer data (without too many configurations or manual pre-process steps) and provide forecasts, predictions … from innovative idea inception through POC, to its implementation within customer facing products. Development includes working with cutting edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types and meet the customer needs. More ❯
a key role in growing our AI capabilities from the ground up. What you will doing: Leadership & Strategy Lead and grow a team of data scientists and AI specialists. Promote AI adoption across the business through training and internal engagement. Collaborate with cross-functional teams to align AI initiatives … with business goals. Technical & Innovation Focus Design, build, and deploy machine learning models and AI tools. Work with structured and unstructured data to optimize logistics, customer service, and operations. Manage the full AI/ML lifecycle from development to deployment and monitoring. Stay on top of emerging AI technologies … business analysts and stakeholders. Ensure seamless integration of AI models into existing systems. Build dashboards to track performance and measure ROI. Uphold AI ethics, data security, and compliance standards. What you will bring: Essential: 5+ years of experience in data science, machine learning, or AI innovation. Strong coding More ❯
join us on a temporary basis to cover a 12-month leave. This is a great opportunity to help design, develop, and maintain scalable data management systems and integration solutions, ensuring uninterrupted data flow and high availability. Job Description Implement InfluxDB upgrade and links to SK Azure environment. … Implement and optimize ETL processes using Python and other relevant tools to handle large volumes of data from various sources. Manage and improve database structures, including MySQL and time-series databases, for efficient storage and fast querying. Develop and maintain APIs for timeseries data retrieval from online platforms … automating data preparation and delivery processes. Ensure data quality control measures are in place and meet the Solar Performance Analysis team's reporting requirements (Solar and BESS). Collaborate with IT teams to maintain system security, including firewall management, SSL certificate renewals, and implementation of cybersecurity best practices. More ❯
a Sr. Full Stack Engineer to join Structured Finance Value Stream. This team, who has a broad and expert knowledge on Ratings organization's data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. Be a part of a unique opportunity … product. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web applications, data pipelines, bigdata, machine learning and multi-cloud. Complete SDLC: architecture, design, development, and support of tech solutions Active participation in all … and ability to ensure quality across various technology components that are developed by geographically diversified software engineer. Experience writing SQL queries and understanding of data models. Experience in designing and implementing REST APIs & micro services-based solutions. Should have experience writing unit/integration tests. Proficient with software development More ❯
Type: Full time contract, 12 months Summary: • We are seeking a highly skilled and experienced Back-End Developer with advanced expertise in Go (Golang), data analytics, and cloud-based backend services. This individual will play a key role in building scalable APIs, processing data pipelines, and supporting front … backend services using Go (Golang). • Design and implement RESTful APIs and GraphQL endpoints to support front-end applications. • Process and optimize large-scale data pipelines for real-time analytics and reporting. • Write clean, maintainable, and efficient code that adheres to best practices and coding standards. • Utilize AWS cloud … services for scalable and secure backend application deployment. • Ensure robust data storage and management using PostgreSQL and other database solutions. • Implement authentication, authorization, and security best practices in backend services. • Improve CI/CD pipelines for automated deployments and infrastructure management. Architecture and Performance: • Lead performance optimization initiatives for More ❯
london (hounslow), south east england, united kingdom
eTeam
Type: Full time contract, 12 months Summary: • We are seeking a highly skilled and experienced Back-End Developer with advanced expertise in Go (Golang), data analytics, and cloud-based backend services. This individual will play a key role in building scalable APIs, processing data pipelines, and supporting front … backend services using Go (Golang). • Design and implement RESTful APIs and GraphQL endpoints to support front-end applications. • Process and optimize large-scale data pipelines for real-time analytics and reporting. • Write clean, maintainable, and efficient code that adheres to best practices and coding standards. • Utilize AWS cloud … services for scalable and secure backend application deployment. • Ensure robust data storage and management using PostgreSQL and other database solutions. • Implement authentication, authorization, and security best practices in backend services. • Improve CI/CD pipelines for automated deployments and infrastructure management. Architecture and Performance: • Lead performance optimization initiatives for More ❯