opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and More ❯
design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding 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 More ❯
AI/ML platform products or setting up and scaling MLOps platforms in global organizations. Technical Expertise: Strong understanding of AI/ML technologies, algorithms, and frameworks (e.g., TensorFlow, PyTorch, ONNX), as well as experience with AI/ML workload optimization and deployment. Deep expertise in data architecture and engineering More ❯
BI). Experience At least five years' experience of working as a Behavioural Scientist or equivalent role, in applying statistical models and machine learning algorithms to behaviour and health-related data sets. Experience and ability to respond to business needs by identifying appropriate statistical methodologies and presenting insights for decision More ❯
governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data strategy professionals. Excellent analytical More ❯
design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding 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 More ❯
with exceptional problem-solving skills. Advanced mathematical background, particularly in areas relevant to machine learning and AI. Basic understanding of machine learning concepts and algorithms (e.g., supervised and unsupervised learning, neural networks). Technical Skills: Experience with data manipulation and analysis using tools like Pandas and NumPy. Basic knowledge of More ❯
plans and related risk assessments. Qualifications: Requirements: Bachelor’s degree in information technology, Computer Science, Engineering or related field Strong computer science and basic algorithms knowledge. 5+ years of experience in Typescript/React ecosystem. Knowledge of web fundamentals: HTML5/CSS3, protocols, modern web standards. Expert knowledge of modern More ❯
plans and related risk assessments. Qualifications: Requirements: Bachelor’s degree in information technology, Computer Science, Engineering or related field Strong computer science and basic algorithms knowledge. 5+ years of experience in Typescript/React ecosystem. Knowledge of web fundamentals: HTML5/CSS3, protocols, modern web standards. Expert knowledge of modern More ❯
multidisciplinary teams—including data scientists, software engineers, and product teams—to integrate emerging technologies into real-world solutions. Design and implement cutting-edge AI algorithms , ensuring their integration into robust, production-grade platforms that enhance research efficiency. Translate scientific and business goals into scalable and maintainable software solutions. Own the More ❯
in analytics for innovative solutions. Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services More ❯
in analytics for innovative solutions. Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services More ❯
at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional More ❯
Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise-grade pipelines and data models Ability to interpret business requirements into robust, scalable data solutions Excellent analytical skills and attention to More ❯
london, south east england, united kingdom Hybrid / WFH Options
Randstad Digital UK
Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise-grade pipelines and data models Ability to interpret business requirements into robust, scalable data solutions Excellent analytical skills and attention to More ❯
TDD and passionate about clean code principles Proficiency in programming in Java, Python, JavaScript or React Solid understanding and experience of using data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Bachelor's degree in computer science or engineering field involving software programming More ❯
work in a multi-disciplinary team and will have the opportunity to be involved in strategy to develop bespoke methodologies and ML/AI algorithms for diagnostics and prediction tool development. Responsibilities: Build and optimize ML models for biological age determination and disease stratification based on epigenetic data; Work with More ❯
experience with software development in C++, Python or Java programming languages, and with data structures/algorithms. 3 years of experience with machine learning algorithms and tools. 2 years of experience in building production quality ML systems. Preferred Qualifications: Master's degree or PhD in Computer Science or a related More ❯
preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve financial inclusion and access to fair More ❯
CGI's Secure Space Systems business is looking for a highly motivated Algorithmic Software Developer to lead the development and enhancement of advanced software algorithms for surveillance and tracking of activity in space. You will play a key role in implementing both speculative and mature software solutions within small projects More ❯
error/deviation analysis. - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Amazon is an equal opportunities employer. We believe passionately that More ❯
solutions for never-before-solved problems. Key Job Responsibilities Collaborate with ML scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
CipherTek Recruitment
CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies More ❯
City Of London, England, United Kingdom Hybrid / WFH Options
CipherTek Recruitment
CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies More ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
following Knowledge of fraud and/or financial crime. Experience with building Python data visualization apps using things like Plotly Dash. Knowledge of clustering algorithms and the problems they can help solve. Experience with cloud platforms especially, GCP. About working for us Our focus is to ensure we are inclusive More ❯