across environments RH Satellite Patching Infrastructure: Experience managing and maintaining Red Hat Satellite patching systems. Strong understanding of security principles and practices. Proficient in scripting and automation (PowerShell, Bash, Python). Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Relevant certifications (e.g., Microsoft Certified Systems Administrator, CompTIA Server+, etc.) are a plus. Desired Behaviors Adaptability: Demonstrates flexibility More ❯
science (data, computer, engineering, mathematics incl. statistics) Analytical problem-solving skills and interest in learning new techniques including personal improvement 5 years object-oriented programming experience covering common languages Python, R, or C++ Professional database development experience in SQL, Oracle as well as SQL Servers Working experience in both Windows and Linux/Unix environments, fluent in shell scripting including More ❯
and health outcomes across populations. Experience in translating analytical findings into actionable insights to inform clinical decision-making, health programme development and evaluation is essential. Hands-on experience with Python and SQL within a cloud environment such as Snowflake, Azure and GCP. Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders. More ❯
LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and bottom-up business objectives. Demonstrated More ❯
LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and bottom-up business objectives. Demonstrated More ❯
LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and bottom-up business objectives. Demonstrated More ❯
london (city of london), south east england, united kingdom
Kantar IBOPE Media
LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and bottom-up business objectives. Demonstrated More ❯
environment PREFERRED QUALIFICATIONS - Professional experience with AWS and/or other cloud offerings such as Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP - Previous experience as a Software Engineer, Developer, Solution Architect, DevOps Engineer, etc. - Understanding of DevOps practices and tools, including: Continuous Integration/Deployment More ❯
Databricks , including data engineering, model development, and orchestration of ML workflows. Practical experience using LLMs and RAG , including prompt design, vector databases, model deployment, and integration into applications. Strong Python development skills , with experience building scalable, maintainable AI services and APIs. Experience integrating AI models into real-world applications , working closely with front-end or product engineering teams. A passion More ❯
in cloud services, including IaaS, PaaS, and SaaS. Experience with infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation. Knowledge of scripting and automation with languages like Python, Bash, or PowerShell. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Understanding of cybersecurity principles and experience preparing for audits. Excellent problem-solving skills and the ability to More ❯
Our Tech Stack: Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Business Intelligence - Looker Skills & Attributes We'd Like To See: Extensive experience in data engineering, including designing and maintaining robust More ❯
peer group. Minimum Qualifications: Bachelor's degree in computer science, engineering, or a related discipline 7+ years' experience in a software engineering role or environment Proficiency in Go and Python; Java, Kotlin and/or JavaScript are a strong plus Experience working with Kubernetes, Containers, and Helm Experience developing and deploying scalable solutions in both on-premise and public cloud More ❯
of forward-deployed AI engineering at Invisible What We Need 5+ years of software engineering experience, including significant time spent building data, ML, or backend systems Deep proficiency in Python and experience with ML/LLM frameworks such as Hugging Face, LangChain, OpenAI, Pinecone, etc. Familiarity with full-stack or API-based deployment patterns (Docker, FastAPI, Kubernetes, GCP/AWS More ❯
Mathematics, Physics, or Computer Science. Comfortable working with large-scale data and behavioral/user interaction data, and using it to build impactful, data-driven product features. Proficient in Python and SQL, and confident working across the full ML lifecycle from exploration to deployment. Experience with cloud platforms like GCP (preferred), AWS, or Azure, and tools such as BigQuery, Vertex More ❯
data science or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw More ❯
£70-90k + Benefits 2 days on site in North London 3 days remote I am recruting for a talented and driven Backend Engineer to join a dynamic team, focused on the creation and deployment of innovative software solutions. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible More ❯
improvement. Required Skills : Proficient in AWS cloud services and DC (Data Center) operations . Strong experience in cloud migration strategies, planning, and execution. Expertise in scripting languages such as Python, Bash, or PowerShell. The candidate must have a Bachelor's degree in Computer Science, Information Technology, or a related field. AWS Certified Solutions Architect or similar certification is highly preferred. More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
TensorFlow, Hugging Face Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets, microscopy images, biomedical literature Cloud & DevOps: AWS/GCP, Docker, Kubernetes, MLflow Languages: Python (essential), SQL, Bash Ideal Candidate Profile: 4+ years of experience in machine learning, with at least 2 years in biotech, healthcare, or life sciences Strong understanding of biological data types More ❯
a strong foundation in predictive modelling and machine learning Proven experience working with consumer behaviour data—ideally within healthcare, digital health, or related B2C environments Strong programming skills in Python, with experience using libraries like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with More ❯
a strong foundation in predictive modelling and machine learning Proven experience working with consumer behaviour data—ideally within healthcare, digital health, or related B2C environments Strong programming skills in Python, with experience using libraries like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with More ❯
NLB/ALB) for secure data flow. Design and maintain CI/CD pipelines on AWS. Support applications on Kubernetes, ensuring scalability and resilience. Use Go and/or Python for automation tasks. Troubleshoot complex issues with analytical skills. Qualifications Experience with applications, data engineering, or machine learning workloads on AWS or GCP. Hands-on with CloudFormation and Terraform. Knowledge More ❯
or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯
