a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on generative AI techniques. - Proficiency in programming languages such as Python, PyTorch, or TensorFlow, and experience with deep learning frameworks. - Strong background in natural language processing, computer vision, or multimodal learning. - Ability to communicate technical concepts to both technical and non More ❯
Practical experience with infrastructure automation tools such as Terraform and Ansible Working knowledge of containerization technologies (Docker, Kubernetes) and virtualization (KVM, VMware) Proficiency in at least one scripting language (Python, Bash, or similar) Understanding of CI/CD principles and experience integrating infrastructure changes into a pipeline Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Desired Skills More ❯
related field. Alternatively, relevant experience in the data engineering field Databricks, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with SQL databases Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF) Experience with cloud platforms (Azure preferred) and related data services Excellent More ❯
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 ❯
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 ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Starling Bank Limited
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 ❯
system engineering role. Expertise in at least two of the following distributions: Red Hat, CentOS, Ubuntu, or SUSE. Proven experience in automating tasks using scripting languages such as Bash, Python, or Perl. In-depth understanding of network protocols, services, and standards including TCP/IP, DNS, DHCP, NTP, and SSH. Strong knowledge of virtualization technologies (VMware, KVM) and containerization platforms 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 ❯
Liverpool, Lancashire, United Kingdom Hybrid / WFH Options
Very Group
About Us As the UK's largest integrated retail and financial services provider, we have a pretty unique position across three huge industries (retail, technology and credit) and our ambition is bold, to build the number one shopping destination for More ❯
and reviews to the team. Addressing technology-related impediments to development. Required Skills and Experience The following skills and experiences are essential: Minimum of 5 years' experience as a Python engineer role. Proven expertise in developing robust APIs using frameworks such as Flask, FastAPI, or Django. Familiarity with Elasticsearch for search and indexing. Strong knowledge of containerisation tools (Docker) and More ❯
