1 to 25 of 379 Permanent Python Jobs in Slough

infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI 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 ❯

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 ❯

large corporate environments. Infrastructure as Code (IaC) Tools & Methodologies: Proficiency with Ansible, Terraform, and PackerIO for provisioning and managing infrastructure. Scripting & Automation Scripting Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS More ❯

to continuously enhance engineering delivery. About You: 5–8 years of professional software engineering experience. Proven expertise with Snowflake (design, optimisation, and performance tuning). Strong programming skills in Python, Java, or similar languages. Solid understanding of modern data engineering practices (ETL/ELT, data pipelines, data modelling). Experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge More ❯

with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. Strong scripting and programming skills (Python, Bash, C/C++ exposure a plus). Knowledge of monitoring, logging, and performance testing for GPU/ML workloads. Excellent collaboration skills — able to work with research, engineering, and More ❯

including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript. Solid understanding of CI/CD , DevOps automation , and secure cloud operations . Strong communication and stakeholder management skills — able to influence at both technical and executive More ❯

including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript. Solid understanding of CI/CD , DevOps automation , and secure cloud operations . Strong communication and stakeholder management skills — able to influence at both technical and executive More ❯

and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a More ❯

event buses). Programming Proficiency: Strong experience with C# and .NET frameworks. Solid understanding of data structures, algorithms, and programming principles. Experience working with other relevant languages such as Python, JavaScript, or TypeScript. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns and architectural trade-offs. Experience with performance tuning and troubleshooting in complex More ❯

as AWS, Azure, or GCP Advanced Linux system administration in research computing environments Workload management and scheduling tools such as Slurm, PBS, HTCondor, or Kubernetes Scripting and automation using Python, Bash, or Ansible Infrastructure as code using Terraform Not only that, you will join a collaborative and forward thinking team with excellent technical leadership and the freedom to innovate. This More ❯

Bicep. Hands-on experience with DevOps practices and tools such as GitHub Actions, Azure DevOps, or Jenkins. Knowledge of networking, security, and identity management in Azure. Experience with PowerShell, Python, or Bash scripting . Strong troubleshooting and problem-solving skills. Excellent communication skills and ability to work in a collaborative, Agile environment. Desirable Skills Azure certification(s) (e.g., AZ More ❯

to observability, SRE, and DevSecOps in production systems Act as a trusted point of contact for both internal and client-facing technical discussions Key Skills & Experience Proficiency in Java, Python, Go, JavaScript/TypeScript Strong experience with frameworks and tools including Spring Boot, React, Node.js, Docker, Kubernetes, and Terraform Deep understanding of modern architecture patterns such as microservices, RESTful APIs More ❯

.. Knowledge oi IP network architecture, routing, security and protocols, MPLS, BGP, OSPF etc. Exposure to DevOps and CI/CD pipeline tools, Jenkins, Gitlab or similar Scripting – Bash, Python or Perl and some experience/exposure to IaC tools such as Ansible or Terraform Exposure to containerisation and orchestration platforms eg. Kubernetes and Docker Ability to travel – UK (driving More ❯

working in agile development environments . Passion for continuous learning and staying current with emerging data technologies. Technical Requirements Proficiency in SQL , including complex query design and optimisation. Strong Python programming skills, particularly with libraries such as pandas , NumPy , and Apache Spark . Experience building and maintaining data ingestion pipelines and optimising performance. Hands-on experience with open-source data More ❯

CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public cloud platforms (Azure/Azure Stack) . Strong scripting skills (Python, Bash) are a plus. Key Skills: Proven track record as a Senior Elastic Consultant delivering complex solutions. Ability to mentor and support junior colleagues effectively. Strong problem-solving and analytical More ❯

Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large More ❯

Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data science. Experience deploying ML models as APIs, batch jobs, or streaming services (e.g., Kafka Streams). Proficiency in containerised application More ❯

to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and best practices for ML development and deployment. Skills & Experience Essential: Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering More ❯

Services, Storage, Networking, Resource Groups) and awareness of AWS; hybrid integrations and migrations. DevOps & automation: Azure DevOps or GitHub Actions, Git/GitHub, scripting in PowerShell/Bash/Python; IaC with Terraform/Ansible. Security & networking: anti-virus/malware/endpoint tooling; fundamentals across Cisco switching, Palo Alto firewalls, SD-WAN (Cato/Prisma), IPSec VPN, and basic More ❯

other engineers within the test development team. Take part in agile meetings and planning sessions, ensuring continuous refinement and effective sprint execution. What We’re Looking For: Expertise in Python, particularly building multithreaded applications with Flask, and experience in integrating with relational databases (SQL). Comfortable developing in Linux-based environments. Familiarity with modern APIs and protocols like REST, HTTP More ❯

data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines Proficiency in data architecture, data modeling, and scalable More ❯

production pipelines Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data More ❯

in Infrastructure-as-code tools (such as Ansible, Terraform, etc.) Mandatory experience in creating automation framework using Ansible Strong in one or two Scripting and programming languages (such as Python/Perl, Groovy, Shell Scripting, etc.) Knowledge of SCM branch strategies using Git Experience with unit testing and automated testing tools (such as ReadyApi, Cucumber etc.) Familiarity with microservices architecture More ❯

Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with More ❯