and scalable infrastructure. Requirements Bachelors or Masters Degree in Computer Science or Engineering Experience with one or more of the following programming languages: Rust, Python, Go, or C/C++ Linux environment, with Azure Cloud Docker/k8s/helm Kubernetes cluster management Database management (PostgreSQL) Monitoring and alerting (Prometheus More ❯
in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯
in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯
aData Quality and Cleansing Subject Matter Experts Location: Zurich, on-site Timeline: February-May 2025 (subject to potential extension English Proficiency in SQL and Python and experience with SQL-based data manipulation and analysis. Strong understanding of data quality principles and data cleansing techniques. Experience with data profiling and data More ❯
aData Quality and Cleansing Subject Matter Experts Location: Zurich, on-site Timeline: February-May 2025 (subject to potential extension English Proficiency in SQL and Python and experience with SQL-based data manipulation and analysis. Strong understanding of data quality principles and data cleansing techniques. Experience with data profiling and data More ❯
decisions Requirements: MSc/PhD or equivalent in Bioinformatics, Biochemistry, CS, or related field +2 years’ experience in Data Science outside of Academia Strong Python and cloud computing (AWS/GCP/Azure) skills Experience with NGS data, version control, and CI/CD Bonus Skills: Experience with DNA methylation More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Hlx Life Sciences
decisions Requirements: MSc/PhD or equivalent in Bioinformatics, Biochemistry, CS, or related field +2 years’ experience in Data Science outside of Academia Strong Python and cloud computing (AWS/GCP/Azure) skills Experience with NGS data, version control, and CI/CD Bonus Skills: Experience with DNA methylation More ❯
enjoys making an impact. Thrives at solving tough technical problems and breaking down challenges into simple and well-designed solutions. The tech stack includes: Python/Flask/FastAPI Terraform/GCP/AWS React/JavaScript/TypeScript Understanding of AI & ML and how to apply this to a More ❯
Experience with frameworks like TensorFlow, PyTorch, and scikit-learn. Data Engineering: Proficiency in developing and maintaining real-time data pipelines. Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment: Experience deploying and maintaining ML inference pipelines. Proficiency with Docker More ❯
Experience with frameworks like TensorFlow, PyTorch, and scikit-learn. Data Engineering: Proficiency in developing and maintaining real-time data pipelines. Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment: Experience deploying and maintaining ML inference pipelines. Proficiency with Docker More ❯
of data science experience, including 2+ years in leadership roles. Expertise in machine learning, statistics, and large-scale data processing. Hands-on technical ability (Python, SQL, cloud platforms like AWS or GCP). Excellent communication skills with the ability to influence at C-level. Strong background in fintech, banking, lending More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Oliver Bernard
roles. Strong background in fintech, banking, lending, or payments preferred. Expertise in machine learning, statistics, and large-scale data processing. Hands-on technical ability (Python, SQL, cloud platforms like AWS or GCP). Excellent communication skills with the ability to influence at C-level. Experience in a fast-paced, scale More ❯
Strong knowledge of data governance, data warehousing, and data security principles. Hands-on experience with modern data stacks and technologies (e.g., Delta Lake, SQL, Python, Azure/AWS/GCP). Experience aligning data capabilities with commercial strategy and business performance. Exceptional communication skills. More ❯
Cheminformatics or Quantum Mechanics) or Artificial Intelligence applied to scientific problem-solving. Proven track record of impactful contributions to scientific projects. Advanced proficiency in Python or experience with other programming languages (e.g., Java, C/C++). Desire to rapidly transition novel chemical AI research into production environments to transform More ❯
The Head of Data Engineering will require the following experience: Quant Degree such as Maths, Physics, Computer Science, Engineering etc Software Development experience in Python or Scala An understanding of Big Data technologies such as Spark, messaging services like Kafka or RabbitMQ, and workflow management tools like Airflow SQL & NoSQL More ❯
Strong knowledge of data governance, data warehousing, and data security principles. Hands-on experience with modern data stacks and technologies (e.g., Delta Lake, SQL, Python, Azure/AWS/GCP). Experience aligning data capabilities with commercial strategy and business performance. Exceptional communication skills. More ❯
CD approaches and technologies Experience with Ping Identity/Okta/ForgeRock (product platform experience, system integration, , security features, extensions Expertise with JavaScript, Java, Python, and must be comfortable with API and microservices development. Strong working knowledge of Site Reliability Engineering principles Experience with Cloud computing (AWS is essential, Azure More ❯
or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role More ❯
Linux systems administration Demonstrated success with monitoring solutions (Grafana, Prometheus) Experience optimizing build and release processes in trading environments Networking and troubleshooting capabilities Advanced Python and Bash scripting for automation Extensive experience with Docker and Kubernetes orchestration Proven track record managing blockchain nodes and infrastructure Deep knowledge of infrastructure security More ❯
or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role More ❯
a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and experience with Docker, Kubernetes, MLFlow, Kubeflow, or similar More ❯
similar tools for automating infrastructure. Strong experience in monitoring and incident response using tools like Prometheus, Grafana, and ELK Stack. Strong scripting skills in Python, Bash, Go, or Ruby for automating tasks and building custom tools. Experience with CI/CD pipelines (Jenkins, GitLab CI) and optimizing performance for large More ❯
Linux systems administration Demonstrated success with monitoring solutions (Grafana, Prometheus) Experience optimizing build and release processes in trading environments Networking and troubleshooting capabilities Advanced Python and Bash scripting for automation Extensive experience with Docker and Kubernetes orchestration Proven track record managing blockchain nodes and infrastructure Deep knowledge of infrastructure security More ❯
a startup with a self-starter mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and experience with Docker, Kubernetes, MLFlow, Kubeflow, or similar More ❯
