include large Private Equity funds, Asset Managers, listed Corporates, high-growth tech companies and many more. Learn more about why we do what we do here. The role: Senior Python Developer Join our lean UK-based technology team as a Senior Python Developer, where you'll play a pivotal role in the development of our systems. Working closely with the … side REST and GraphQL APIs written in Python3. What we’re looking for... Essential skills and experience: 5+ years experience of developing complex applications using an OO language (ideally Python, but experience in C++/C#/Java/etc would also be considered) Experience working on mission-critical applications, following a robust SDLC Excellent communication and problem-solving skills … and a strong aptitude for learning Experience and enthusiasm for test-automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST More ❯
Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. Job Overview We are seeking a highly skilled and detail-oriented Python Data Engineer to join our dynamic audit and risk technology team. Based fully onsite in our Birmingham office , you will play a critical role in designing, developing, and maintaining data … solutions that support audit, risk assessment, and compliance processes. This position requires strong data modeling expertise, robust Python and SQL skills, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities Data Modeling & Architecture Design, develop, and maintain logical and physical data models to support audit and risk assessment activities. Utilize data modeling tools (e.g., Erwin, Visio, Lucidchart … pipelines for both structured and unstructured data . Implement scalable and efficient data warehousing solutions on relational and NoSQL platforms. Analytics & Reporting Develop and implement reporting and analytics using Python, SQL, and Tableau . Create interactive dashboards that clearly present insights, audit findings, and risk assessments. Collaboration & Analysis Work closely with auditors, stakeholders, and IT teams to gather data requirements More ❯
London, England, United Kingdom Hybrid / WFH Options
Client Server
. About you: You have commercial experience as a Platform Engineer, DevOps Engineer or SRE within an HFT, low latency or web scraping environment You have strong bash or Python scripting skills You have multi-cloud experience (AWS and/or Azure preferred) You have a strong knowledge of Linux You have experience with forward proxy tools e.g. Squid You More ❯
Greater Sheffield Area, United Kingdom Hybrid / WFH Options
Scot Lewis Associates
particularly across AWS. 6 month contract (will extend), paying up to £890 per day. Hybrid working, 2 days a week in their Sheffield office. Key skills: • Strong in Golang & Python • Skilled in RESTful APIs, microservices, Kubernetes, serverless functions, and database technologies (Relational & NoSQL). • Cloud & DevOps Expertise: Extensive AWS experience (GCP desirable), Infrastructure as Code (Terraform), CI/CD (Jenkins … AWS certifications and prior experience in financial services or regulated sectors. Responsibilities: • Backend & Frontend Development: Design, build, and maintain secure, high-performance REST API services and frontend clients using Python, Golang, Docker, and cloud-native technologies. • Database & Compliance: Manage database schema changes via Liquibase, ensuring adherence to audit and regulatory standards. • CI/CD & DevOps Integration: Develop and maintain CI … efficiency. • Operational Support & Incident Resolution: Provide production support, conduct root cause analysis, and resolve performance issues. Please apply now for immediate consideration and further details. Keywords: Software engineer, DevOps, Python, GoLang, Docker, Cloud-Native, Liquidbase, CI/CD, Storage, Linux, SQL, API’s, Monitoring (Elk/Splunk/Prometheus/Grafana), Kubernetes, Terraform, Ansible, Infra as code, Bank, Banking. Scot More ❯
SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers … implement DevOps best practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯
SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers … implement DevOps best practices. Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing, CI/CD). Building scalable, deployable systems while managing risk and ensuring quality. Communicating findings through clear, compelling narratives … leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice More ❯
from chemical synthesis campaigns. We are using an API-first architecture that allows us to rapidly iterate in multiple squads. You'll need a customer-focused mindset, proficiency in Python and React, be comfortable with containerisation concepts and deploying changes quickly and safely using a modern DevOps toolchain. If you enjoy problem solving complex technical challenges that make a real … EQ: bring compassion and technical acumen to the team, we are cross-functional by design, and everyone is a natural team player who can improve best practises Proficiency with Python and extensive experience with frameworks such as FastAPI, Django, Flask or Supabase Knowledge of relational databases such as Postgres Expertise in SQL and familiarity with ORM frameworks such as SQLAlchemy More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Reed.co.uk
an established business. Key Responsibilities End-to-end development of high-quality, scalable SaaS platforms from design through deployment and maintenance. Architect and implement robust backend services primarily using Python and PostgreSQL. Develop and maintain responsive, performant front-end applications with TypeScript and modern frameworks (e.g., NextJS, NodeJS). Collaborate with product owners, UX/UI designers, and other stakeholders … with at least 3 years in a senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimisation, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS More ❯
London, England, United Kingdom Hybrid / WFH Options
Cint
Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support applications and services written in Golang, Python, Java, Scala and .Net. We monitor and alert on everything we deploy via Grafana, Prometheus, Graphite and ELK stacks. The team holds itself accountable to a high standard of build … You have good knowledge of monitoring and alerting using one or more of: Graphite, Statsd, Prometheus, Grafana, PagerDuty You have expertise in at least one scripting or programming language (Python, Bash, Ruby, Node, Golang, Java) Bonus Points If You Have You have good knowledge of the network stack at L4 and L7, particularly inter VPC routing You have some experience More ❯
only, due to site access requirements). Proven hands-on experience with Kubernetes , Docker , and containerised environments . Strong knowledge of CI/CD pipelines , Terraform , and automation scripting (Python, Bash, PowerShell). Background working in air-gapped , on-prem , or secure MOD systems . Strong experience ideally across GCP , Or Azure and/or AWS , environments. Experience with Windows More ❯
only, due to site access requirements). Proven hands-on experience with Kubernetes , Docker , and containerised environments . Strong knowledge of CI/CD pipelines , Terraform , and automation scripting (Python, Bash, PowerShell). Background working in air-gapped , on-prem , or secure MOD systems . Strong experience ideally across GCP , Or Azure and/or AWS , environments. Experience with Windows More ❯
CD tools (e.g. Jenkins, GitHub Actions, GitLab CI). Deep understanding of Docker , Kubernetes , and container orchestration. Cloud platform expertise – AWS or Azure (GCP a plus). Scripting in Python , Bash , or PowerShell . Knowledge of Terraform , Ansible , or similar infrastructure automation tools. Familiarity with monitoring tools (e.g. Prometheus, Grafana, ELK). Experience with version control and branching strategies (Git More ❯
Strong knowledge of CI/CD automation using Azure DevOps, including Repos, Pipelines, and Artifacts Expertise in Infrastructure as Code with Terraform and Ansible, along with scripting in PowerShell, Python, or Bash Experience implementing GitOps workflows and managing platform SLAs, SLOs, and governance standards Familiarity with observability and monitoring tools including Prometheus, Grafana, Azure Monitor, DataDog, or Dynatrace Preferred experience More ❯
stack, contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone More ❯
stack, contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone More ❯
for: Deep Linux/UNIX experience (Ubuntu & RHEL) Kubernetes administration expertise, ideally on bare-metal Solid understanding of networking (TCP/IP, BGP, VLANs, VRF) Scripting and IaC experience (Python, Bash, Helm, Terraform) Experience working in regulated environments with PAM, policy-as-code, and strong security posture If you're passionate about building high-impact infrastructure in a modern, agile More ❯
for: Deep Linux/UNIX experience (Ubuntu & RHEL) Kubernetes administration expertise, ideally on bare-metal Solid understanding of networking (TCP/IP, BGP, VLANs, VRF) Scripting and IaC experience (Python, Bash, Helm, Terraform) Experience working in regulated environments with PAM, policy-as-code, and strong security posture If you're passionate about building high-impact infrastructure in a modern, agile More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Adecco
data integration.* Full Stack Development: Deliver responsive, high-performance web applications using React (essential), plus Angular or Vue.js.* Back-End Expertise: Develop server-side logic with Java and Node.js; Python or Ruby experience is a bonus.* Cloud & Containers: Deploy microservices on Kubernetes and Red Hat OpenShift, leveraging Docker for containerization.* CI/CD Automation: Implement pipelines using GitHub and ArgoCD. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis UK
and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps More ❯
For: 5+ years of experience in data engineering or related roles. Strong expertise in Databricks, Spark, Delta Lake, and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse More ❯
For: 5+ years of experience in data engineering or related roles. Strong expertise in Databricks, Spark, Delta Lake, and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse More ❯
