Source Job

As a Data Scientist, you will leverage data to drive impactful solutions, working on the full data science lifecycle from data acquisition to model deployment. You will implement generative AI solutions and collaborate to translate business requirements into data-driven solutions. The role involves innovating with cutting-edge technologies and contributing to high-impact projects, while mentoring peers and promoting best practices in AI and analytics.

This position is posted by Jobgether on behalf of a partner company.

• Develop and test features involving LLMs, automation pipelines, or AI-driven tooling.
• Assist with model evaluation, data preparation, and prompt engineering.
• Build lightweight prototypes and internal tools to accelerate experimentation.

JWay Group is proud to be an Equal Opportunity Employer and values diversity, fostering an inclusive and supportive workplace.

Draft detailed natural-language plans and code implementations for machine learning tasks. Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments. Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

Mercor is building the talent engine that helps leading labs and research orgs move AI forward.

Develop production data science applications in Python, end to end. Design and develop new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications.

Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets.

Design and implement ML models for behavior prediction, anomaly detection, and risk scoring. Develop and fine-tune transformer-based models. Partner with product and engineering to translate business problems into data science solutions.

Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization.

• Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
• Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
• Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.

This is not a pure research or model-tweaking role and will focus on strong software engineering, testing, and robust evaluation. The role involves designing, implementing, and maintaining ML-driven services and data workflows in Python, heavily using but not relying upon best practices in prompt engineering. You will deploy and operate ML services on GCP, focusing on reliability, latency, and correctness rather than just model accuracy.

CertifyOS is building the infrastructure that powers the next generation of provider data products, making healthcare more efficient, accessible, and innovative.

• Design, build, and deploy machine learning models for personalization, automation, and insights.
• Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment.
• Integrate ML outputs into user-facing products and backend systems.

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection.

• Explore the intersection of real-time data streaming and artificial intelligence.
• Build prototypes and demonstrations showcasing machine learning and generative AI applications.
• Collaborate with engineers, product leaders, and data scientists to translate research into practical applications.

Striim is a unified data integration and streaming platform that connects clouds, data, and applications with unprecedented speed and simplicity.

• Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features.
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
• Collaborate with product and engineering to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.

Mural is pioneering how generative AI transforms visual collaboration and decision-making.

• Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
• Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
• Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices

Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Build and maintain data pipelines to support machine learning and analytics workflows.
• Collect, clean, and transform large, complex datasets from engineering environments.
• Develop and train predictive models for yield, performance, and anomaly detection.

We're seeking a Data & AI Engineer at FortifyIQ. The company seems to be in technology, possibly related to silicon design based on the job description.

• Design, develop, and deliver AI-driven data products in partnership with engineering and product leadership.
• Translate model outputs into clear, actionable insights that drive customer understanding and decision-making.
• Contribute to the evolution of data science standards, tools, and best practices across the organization.

This position is posted by Jobgether on behalf of a partner company.

• Transform specs into efficient, production ready python code.
• Research and build predictive models for the probability of cyber attack.
• Continuously maintain, test and improve models and provide concise reporting of results.

Converge Insurance is an equal opportunity employer that celebrate diversity and are committed to creating an inclusive environment for all employees.

• Draft detailed natural-language plans and code implementations for machine learning tasks.
• Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments.
• Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward.

• Understand complex business challenges and translate them into data science problems.
• Design and implement machine learning models, statistical tests, and optimization strategies.
• Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.

CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Lead the development of machine learning projects from requirements gathering to deployment.
• Design, implement, and maintain ML pipelines, including data ingestion, feature engineering, modeling, evaluation, and deployment.
• Conduct research and develop advanced analytical and optimization methods to enhance platform capabilities.

Jobgether is a company that is looking for a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team.

• Develop Machine Learning models and pipelines.
• Interact with databases and data infrastructure.
• Conduct in-depth data analytics and build statistical data inference models of biological processes.

Aquabyte is working to revolutionize the sustainability and efficiency of aquaculture through underwater cameras, computer vision, and machine learning.

Lead the full data science lifecycle, from data acquisition and preparation to model development, deployment, and performance monitoring. Leverage advanced machine learning, deep learning, and generative AI techniques to solve challenging problems and deliver impactful solutions. Collaborate with cross-functional teams, including product managers, engineers, and analysts, to translate business needs into scalable, production-ready AI/ML solutions.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.