1 to 25 of 31 Python Jobs in Hemel Hempstead

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

will bring something new to the table! Required Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security More ❯

Previous experience operating ClickHouse or other SQL databases in production. Excellent understanding of distributed database internals and SQL, particularly ClickHouse is a major plus. Scripting experience with Shell or Python,and ability to read and understand C++ code. Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. You are a strong problem-solver and have solid More ❯

Helping reduce technical debt and modernise legacy code when necessary. Tech Stack: The team is modernising the platform, and you'll get to work with: Backend: Java, Typescript, NodeJS, Python; Infrastructure: AWS (EC2, CloudFront, Route53), Linux, Docker; Databases: MongoDB; Monitoring & CI/CD: Github, Jenkins, Terraform, CAdvisor, Prometheus, Grafana; iGaming experience: obligatory. What you'll need to have: 3+ years More ❯

scalable solutions. What you'll do: Collaborate with engineers and product teams to shape product direction and deliver features that solve real user problems. Build and maintain services using Python, TypeScript, and cloud platforms (AWS or GCP). Work with serverless architectures, containerisation, and NoSQL databases. Drive observability, data-driven decisions, and continuous improvement across the product. Challenge assumptions and More ❯

large datasets. Excellent analytical and problem-solving skills with strong business acumen. Clear communication and presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we More ❯

Rego or Cedar Experience with cloud databases such as Amazon DynamoDB, Aurora or Snowflake Experience with data platform tools such as Apache Flink and Kafka Experience with Java/python CI/CD pipelines – CloudBees/Jenkins SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive More ❯

/CD pipelines with solutions developed by other teams, scripting, and the creation of Infrastructure as Code (IaC) manifests using tools like Terraform. Your expertise in Jenkins, JIRA, GitHub, Python, and other relevant technologies will be essential. You should have a solid background in building CI/CD pipelines and a comprehensive understanding of DevOps practices. The ideal candidate should … platforms such as Kong API Gateway (ideal), Apigee, AWS API GW, Azure API GW, etc • Tool Proficiency: Utilize and demonstrate expertise in tools such as Jenkins, JIRA, GitHub, and Python, effectively integrating them into the CI/CD processes • Script Writing: Write and maintain scripts to automate various aspects of the infrastructure and deployment processes, improving efficiency and reducing the … Travis CI, GitLab CI, and Bamboo. Ability to configure, manage, and optimize these tools for various project requirements. • Proficiency in Scripting Languages: Strong skills in scripting languages such as Python, Bash, PowerShell. Ability to write and maintain scripts to automate routine tasks and deployments • Infrastructure as Code (IaC): Extensive experience in creating and managing infrastructure using code. Proficiency in IaC More ❯

We're Looking For Bachelor's degree or higher in Computer Science (from a selective institution) or currently pursuing. Proficiency in at least one of the following programming languages: Python, Java, JavaScript, or C++. Strong ability to articulate technical concepts in written and spoken Spanish and English. Excellent attention to detail, problem-solving skills, and clear technical writing ability. Preferred More ❯

and visualizations for executive-level decision-makers. Required Skills Extensive experience as a Data Scientist, with a proven track record in leadership roles. Proficiency in programming languages such as Python, R, or SQL, and familiarity with data science libraries and frameworks. Strong expertise in statistical modelling, predictive analytics, and machine learning. In-depth understanding of data architecture and big data More ❯

to drive user acquisition and retention What We Look For 2-4 years work experience in customer risk management at a payments or financial company. Fluent in SQL and Python A team player with ability to collaborate and influence across different teams in the organisation Ability to clearly communicate findings and recommendations to both technical and non-technical audiences Passion More ❯

of the Preferred Qualifications: · Experience with IAM, WAF, Vulnerability Management, or Pen Testing. · Experience with security concepts pertaining to private and public cloud · Experience with scripting and data languages (Python, Bash, JSON, etc.) · Working knowledge of tools used to test and assess security · Experience evaluating commercial and open-source network security tools and services · Understanding of public keys, certificates, and More ❯

Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. Modern BI: hands-on experience with a modern BI platform with integrated semantic layer (e.g Omni, Looker, Thoughtspot) Python for analysis: practical experience with pandas/numpy and notebook-based workflows for LTV, attribution, simulations and experimentation analysis. Domain expertise: deep, practical knowledge in one or more of the More ❯

validate, and deploy machine learning models to solve key business problems. Translate complex model outputs into clear, business-relevant recommendations for stakeholders. The ideal candidate: Strong programming skills in Python and/or R, with experience in SQL for data manipulation. Experience with machine learning/predictive modelling techniques and model evaluation. Ability to translate complex technical findings into clear More ❯

probabilistic forecasts, scenario analyses, or decision-intelligence insights. Strong competency in probability, calibration, scenario design, and structured judgment techniques. Proficiency with forecasting tools, data visualization, or statistical software (e.g., Python, R, Excel) is highly valued. Excellent written and verbal communication, strong analytical reasoning, and collaborative mindset. Commitment of 20–30 hours per week, including required synchronous collaboration periods. Why Join More ❯

science, pricing strategy, or analytics tools is desirable. Proven experience in pricing, commercial, or financial analytics roles, ideally across FMCG, e-commerce, or related sectors. Advanced technical expertise in Python, R, SQL for data analysis and automation. Strong modelling capabilities including A/B testing, elasticity modelling, segmentation, clustering, sensitivity/scenario analysis, and conjoint analysis. Proficiency in Advanced Excel More ❯

this role, you will have: Proven leadership experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation techniques for large-scale solutions. More ❯

task design, rubric structure, and evaluation criteria. Communicate insights to data labeling experts and technical teams. Requirements Strong foundation in statistical analysis, hypothesis testing, and pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. More ❯

Market structure & economic policy Ability to articulate and critique economic concepts clearly Preferred Qualifications Research or industry experience in economic modeling, forecasting, or data analysis Familiarity with analytical tools (Python, R, Stata, MATLAB, etc.) Experience interpreting datasets, models, or policy scenarios Teaching or academic writing experience is a plus What You'll Be Working On Your expertise will help AI More ❯

targeting both ASIC and FPGA platforms Own the design lifecycle: specification, micro-architecture, coding (Verilog/VHDL), synthesis, timing closure, and verification Support design activities through scripting and automation (Python or similar) for verification, analysis, and testing workflows Partner effectively with hardware architects and firmware engineers to ensure seamless system integration About You: A collaborative problem-solver who enjoys the More ❯

security standard methodologies and protocols, for instance ISO 27001/27002, PCI DSS. Familiarity with security frameworks such as NIST, ISO, and CIS. Experience with programming languages such as Python, PowerShell, and regex. If you are interested in this role but not sure if your skills and experience are exactly what we’re looking for, please do apply, we’d More ❯

all deliverables Ideal Qualifications Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related technical field Proficiency in two or more major programming languages (e.g., Python, C++, Go, Java) Strong grasp of algorithms, data structures, debugging, and code analysis Exceptional analytical, problem-solving, and written communication skills Prior experience with structured software evaluations, benchmarks, or code More ❯

Responsibilities Design and configure Linux-based systems and development environments for large-scale AI applications. Develop APIs and service layers to interface with high-performance AI models. Utilize Bash, Python, and C for scripting, automation, and debugging. Manage version control, build processes, and CI/CD pipelines using Docker, Git, and UNIX tools. Collaborate with cross-functional technical teams to … at top-tier technology firms, trading companies, or high-performance environments. Expert-level comfort with Linux—including kernel compilation, file permissions, and filesystem operations. Strong proficiency in Bash scripting, Python, Shell, and C. Experience with Docker, Git, and networking fundamentals. Open-source experience or familiarity with large codebases a plus. Bachelor's or Master's degree in Computer Science or More ❯

Senior Python Engineer | Fully Remote | High-Growth Tech Startup - Highly Profitable - Product Focused Engineers - 110k + Equity Join one of the most exciting early-stage startups of the year — backed by founders with a proven track record of building successful companies and already showing strong market traction. This is a rare chance to get in early, take real ownership, and … to scale globally. You'll tackle complex engineering challenges, work with modern tooling, and see the direct impact of your work every single day. The Role As a Senior Python Engineer, you'll join a small, sharp engineering team responsible for building robust backend systems and data-driven features. You'll help shape architectural decisions, set engineering standards, and work … closely with colleagues across the business to deliver high-impact functionality at speed. What You'll Be Doing Designing and developing reliable, high-performance backend services in Python (FastAPI, Flask, or Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems More ❯

can configure networks and understand how automation enhances them, you'll fit right in! Key Responsibilities Design, develop, and implement automated network solutions across large-scale customer environments. Use Python, Ansible, and Terraform to build repeatable, reliable automation workflows. Apply strong networking fundamentals to support configuration, optimisation, and troubleshooting. Lead customer-facing workshops, discovery sessions, and technical design discussions. Integrate … delivering solutions that make a real impact. Key Experience (Required) You must have experience with the following four core technologies: Networking fundamentals (routing, switching, firewalls, OSI model, IP services) Python (object-oriented) for automation scripts Ansible Terraform Plus: Background in either Networking/NOC Engineering (e.g., routers, switches, firewalls) or a solid Automation/DevOps foundation transitioning into Network Automation. More ❯