monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data ecosystems Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes) Secondary Skill : Experience with RESTful APIs and integrating backend services ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis
Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Experis
Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis
Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving More ❯
or PySpark Exposure to generative AI platforms or interest in building AI-powered workflows Ability to work closely with clients and lead delivery in fast-paced environments Exposure to Airflow, Databricks or DBT would be beneficial Some of the package details include: Salary up to £75,000 per year Bonus and share options Vibrant central London office, working closely More ❯
warrington, cheshire, north west england, united kingdom
Capgemini
monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data ecosystems Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes) Secondary Skill : Experience with RESTful APIs and integrating backend services ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual More ❯
bolton, greater manchester, north west england, united kingdom
Capgemini
monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data ecosystems Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes) Secondary Skill : Experience with RESTful APIs and integrating backend services ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual More ❯
tools. Knowledge of event streaming, API integration, and MLOps . Experience in regulated, high-volume industries (gaming, finance, or e-commerce). Proficiency with integration/orchestration tools like Airflow and dbt . Why this role is a game-changer for you You'll be making a huge impact on our products, player experience, and internal processes . This More ❯
or risk management IT. Strong programming skills in Python, and at least one other modern language. Proficiency in cloud services and build tools, including but not limited to EKS, Airflow, Kafka, Gitlab, ArgoCD or equivalent. Familiarity with financial products, their evaluation models, and Greeks. Experience with risk management data sets, including market risk (Greeks, P&L, VaR, stress tests More ❯
passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯
with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
with a passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯
tools) and CI/CD practices Skilled in Linux systems, networking, and containerised deployments (Docker) Experience with scripting (Python, Bash) and automation workflows Familiarity with data pipeline tools (e.g. Airflow, dbt, Glue, Kinesis, or Kafka) Understanding of observability: logging, alerting, and metrics (CloudWatch, Grafana, etc.) Nice to Have: Background in IoT, utilities, or environmental data platforms Experience with LPWAN More ❯
optimized. YOUR BACKGROUND AND EXPERIENCE 5 years of commercial experience working as a Data Engineer 3 years exposure to the Azure Stack - Data bricks, Synapse, ADF Python and PySpark Airflow for Orchestration Test-Driven Development and Automated Testing ETL Development More ❯
Knutsford, Cheshire East, Cheshire, United Kingdom
Synapri
AWS Data/ML Engineering & ML Ops (ECS, Sagemaker) CI/CD pipelines (GitLab, Jenkins) Python, PySpark & Big Data ecosystems AI/ML lifecycle, deployment & monitoring MLOps tooling (MLflow, Airflow, Docker, Kubernetes) Front-end exposure (HTML, Flask, Streamlit) RESTful APIs & backend integration If this ML Engineer role is of interest, please apply now for immediate consideration. More ❯
Cambridge, Cambridgeshire, England, United Kingdom
James Chase
enterprise architecture frameworks (TOGAF, Zachman). Expertise in cloud-native data platforms (Azure, AWS, GCP) and data modelling. Experience with data mesh, governance, and integration/orchestration tools (Kafka, Airflow, dbt). Knowledge of lakehouse and virtualization concepts. Exposure to AI/GenAI initiatives and ethical data practices. Skilled communicator with experience mentoring others in matrix environments. Awareness of More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Sanderson Recruitment
on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
. Ability to collaborate effectively with senior engineers, data scientists, and architects. Proactive, detail-oriented, and eager to contribute within a greenfield project environment. Nice to Have: Experience with Airflow/Astro . Prior work with notebook-based development environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community More ❯
data-driven decision-making is embedded across the business. What We're Looking For: Strong proficiency in SQL (essential). Experience with data migration, ETL, and pipeline development (e.g., Airflow, Fabric, Azure). Familiarity with APIs (REST API, JSON), data mapping, validation, and quality control. Ability to design, build, and maintain dashboards (e.g., Power BI, Looker Studio, Excel or More ❯
