476 to 500 of 738 Python Jobs in Berkshire

with engineers, product and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and More ❯

Closely partner with CTO and drive tech strategy A high-calibre team in a collaborative, flat and engaging environment Experience required Stack: Open to strong engineers; experience in C#, Python, Java, or cloud-native development a plus Investment Banking, Asset Management or Hedge Fund experience Business knowledge on Trading and trade flows front to back Competitive comp package in line More ❯

synthesis, timing closure, CDC, RDC, and coverage analysis. Profile Essential Skills Degree in Computer Science, Engineering, or related field. Strong experience with SystemVerilog or VHDL . Competence in scripting (Python, Tcl). Knowledge of digital design flows. Processor design and application-specific blocks. High-speed serial interfaces & complex third-party IP integration. Arithmetic pipeline and floating-point design. Design-for More ❯

bluetooth laser measures, sensors) -> Offline-first/PWA apps for installers on the move Tech Stack: -> React, TypeScript, Konva, Tailwind -> Node.js, PostGREST, Prisma -> PostgreSQL/PostGIS, Docker, Atlas -> (Sunsetting Python + FastAPI) Requirements for Carbon Emission/Green Tech Start-up | Full Stack Engineer | LDN 2 Days Per Week | £50K - £110K + Healthy Equity -> 2+ years commercial experience -> STEM Background More ❯

e.g., ServiceNow) and monitoring tools Understanding of access management, patching, and vulnerability remediation Exposure to ITIL practices and professional services environments Experience with documentation tools and scripting (e.g., PowerShell, Python) Relevant certifications (e.g., ITIL Foundation) preferred The role offers the chance to work within a collaborative team and contribute to the ongoing improvement of critical business systems. To express interest More ❯

OCR, or data extraction pipelines Technical leadership in designing retrieval-augmented generation (RAG) or agentic AI frameworks Experience deploying models in latency-sensitive, compliance-heavy environments Strong engineering foundation, Python, Kubernetes, Rust, vector databases, cloud-native deployment Experience building proprietary products Deep experience with LLMs History of building within product companies or platform teams, not consultancies or service firms You More ❯

and quality with data, not slogans Comfortable getting hands-on to unblock design reviews, incidents, reading code Strong product mindset focused on outcomes over output Hands-on experience with Python, React, cloud infrastructure (AWS), Kubernetes Clear, direct communicator with high accountability and high trust On offer Base salary of £95k - £120k depending on experience, plus equity Rapid career progression with More ❯

performance, low-ego engineering culture focused on shipping. What We’re Looking For Deep experience in Applied Machine Learning and Agentic AI systems . Proficiency in modern ML stacks (Python, PyTorch, JAX, Ray, etc.) and production deployment. Proven ability to move fast, ship code, and bridge research with real-world impact. Experience in early-stage or startup environments is a More ❯

and deliver efficient models for real-time deployment. What We’re Looking For 3+ years’ experience building and deploying deep learning systems, with shipped models or published research. Strong Python skills and proficiency in PyTorch or JAX. Hands-on with at least one of: LLMs, VLMs, or image/video generative models. Experience with deep learning infrastructure (datasets, distributed training More ❯

feedback loops and observability tools Collaborate with Data Engineers to ensure AI has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with LLM-powered AI orchestration frameworks (e.g., DSPy, LangChain, or similar) Experience in AI-driven automation & orchestration in production environments Proven ability to optimise AI agents for More ❯

teams with spatial insights Working across sectors such as transport, energy, or urban development Added extras would be experience in LiDAR, Drones, photogrammetry, using AI driven tools in GIS, python programming Why BakerHicks? You’ll work on high-impact infrastructure and built environment projects across the UK You’ll be part of a team that embraces cutting-edge tools and More ❯

Experience with SDVI Rally workflows & support. Knowledge of BLAM and/or similar MAM/PAM systems. Understanding of transcoding, edit storage, and proxy workflows. Scripting or automation experience (Python, PowerShell, AWS Lambda) to streamline support tasks. About Us At Hearst Networks EMEA, we share stories that matter, inspiring and exciting our audiences with hit US franchises (The Curse of More ❯

Join a team delivering critical platform infrastructure across design, monitoring, automation, and tooling creation. The division is made up of several specialist sub-teams: Observability – Drive platform visibility using Python, Elasticsearch, Prometheus, Grafana Scheduler – Focus on Kubernetes orchestration and job scheduling DevTools – Enhance developer experience, building automation and CI/CD pipelines in GitLab Database – Improve database automation and performance … using Python Reliability – Proactively identify platform weaknesses to improve reliability and stability Requirements: Up to 4 years’ experience in DevOps, SRE, or Platform Engineering Scripting in Python or Bash BSc in Computer Science, Engineering, or related field Experience with Git and Linux environments Bonus: GitLab, Docker, Ansible, Terraform, HPC/Orchestration (Slurm/K8s), Prometheus, Grafana, Kibana, Datadog, Elasticsearch, Logstash … automation, monitoring, and GCP migration initiatives Troubleshoot hardware and software issues, driving efficiency and reliability improvements Requirements: Up to 4 years’ Linux administration experience (RHEL preferred) Scripting experience in Python, Ruby, or Bash BSc in Computer Science, Engineering, or related field Bonus: Ansible, Chef, Puppet, GCP, Prometheus, Grafana, Kibana, Datadog, Elasticsearch, Logstash, Kafka, Kubernetes This is a rare opportunity to More ❯

you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support … conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and More ❯

Senior Python Quantitative Developer sought to join a multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield central Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across all Funds and Investment teams. Our client is an early Quantitative Investment Boutique focusing on Scientific … delivering and maintaining critical components of the investment infrastructure, including the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks utilized by diverse Investment teams. Essential Skills & Experience: Excellent Python skills, as per 5+ years of professional experience in a technically and/or scientifically complex and competitive environment, especially in Financial Markets. Hands-on experience with continuous integration and More ❯

This is an ideal opportunity for someone who thrives on learning new technologies and can integrate easily into a collaborative, outspoken team culture. Key Responsibilities: Develop automation solutions using Python, PowerShell, or similar scripting languages Work with Kafka or similar streaming platforms for data pipelines and real-time processing Build and maintain CI/CD pipelines using Bamboo/Jenkins … database administration and troubleshooting Maintain Windows Server and Linux (Red Hat) environments Collaborate with engineering teams, project managers, and suppliers on technical implementations Qualifications and Requirements: Strong scripting abilities (Python or PowerShell preferred; Bash or Perl also valued) Experience with streaming platforms (Kafka, Kinesis, or equivalent) Expert in CI/CD experience using Bamboo/Jenkins and BitBucket/GitLab More ❯

enterprise scale, think architecturally, and deliver under pressure in complex technical environments. Tech Stack & Environment You’ll work across a diverse range of modern technologies, including: Core languages: C#, Python, Rust Front end: JavaScript/TypeScript/Angular/RX JS Infrastructure: Kubernetes, containers, DevOps, CI/CD Emerging tech: WebAssembly, AI integration, and AI frameworks Systems: Cross-platform, distributed … This is a genuine technologist’s role — building critical software that combines engineering precision, scalability, and innovation. What We’re Looking For Very strong expertise in one of C#, Python or Java , ideally with working knowledge of another. Rust very desirable Proven experience designing and developing complex, distributed, real-time systems . Deep understanding of software architecture, concurrency, performance optimisation More ❯

business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). Solid understanding of API design, data … modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment Languages: Python, TypeScript, Java AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG) Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker Databases: PostgreSQL, MySQL, Redis, vector databases DevOps: GitHub, CI/CD pipelines Why Join Competitive salary and comprehensive benefits package More ❯

backend services, integrations, and workflow logic for cutting-edge SaaS applications. Key Focus Areas: Work with automation-generated code and make it production-ready Build robust backend services using Python APIs and data workflows Create seamless integrations with external systems Champion AI-assisted development practices across the engineering team What You'll Do: Own backend features and API integrations (Python … AI tools Work closely with cross-functional teams including Solution Strategists, Data Platform, and Support teams Contribute to architectural decisions and technical strategy What We're Looking For: Strong Python backend/API development experience Solid SQL and data modeling capabilities A solid background within start-ups and able to work on multiple projects similtaneously Proven experience with integrations (APIs More ❯

will be joining an innovative team and will be a key contributor to our suite of reporting and analysis tools, which provide insights to risk and trading teams through Python, Excel, and web-based platforms. You will operate within a highly collaborative environment with a diverse team of quantitative researchers, risk managers, and traders. This position offers a unique opportunity … to lead greenfield projects, designing and implementing new systems and tools from the ground up. The technology stack within our team is primarily C# and Python backends, SQL databases, RabbitMQ, REST, React and Excel UI. Exposure to C++ is beneficial as interaction with the quant library is usual. A degree in Computer Science, Engineering, Finance, Mathematics, or a related quantitative More ❯

Job Summary: The Trading and Risk Management System (TRMS) team is responsible for developing, supporting and maintaining our front and back office trading web applications using Python, the proprietary Beacon Dependency Graph and Glint, the Beacon UI framework. The successful candidate will contribute to the growth of the platform, exercising an eye for detail across all aspects of the development … integration of software applications. Troubleshoot and resolve production incidents quickly and effectively. Understand, respond to, and address customer needs and issues with empathy and timeliness. Required Skills: Proficiency in Python or another typed, object-oriented programming language. Deep knowledge of software methodologies, tools, and typical architectural patterns. Experience with trading and risk management solutions is a nice to have Experience … written communication skills. Strong organizational and interpersonal skills. Exceptional problem-solving abilities. Education and Experience: Degree in Computer Science or related field. 7+ years of software development experience using Python or any other OOP languages. Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry’s most comprehensive cloud-native platform for institutional investors across global public and private More ❯

Senior Python developer to join our clients Network Automation team. You will be comfortable with Django/Flask, Gitlab and have experience of container infrastructure. This is a three month rolling contract that will require you in the office, just outside London twice a week at rate of £500 a day (inside IR35). The role will involve contributing to … will be required as part of the development as well as maintaining a high standard for code readability and collaboration. Required skills and experience: 3 years commercial experience with Python Experience with Web frameworks such as Django and Flask Experience of using and building RESTful APIs using Python Experience with Front-end development (HTML, CSS, Javascript) Experience with source control More ❯

company tackling some of the hardest problems in distributed systems and AI research. You'll have 2+ years of professional experience in big tech or start-up Proficiency in Python Strong hands on expertise with LLMs and RAG Traditional ML experience Based in London and in office by default Looking to throw everything into a business from the early days More ❯

Leading technical implementations and troubleshooting Ensuring secure, reliable data exchange What we’re looking for: Strong HL7 & DICOM protocol expertise Experience with integration engines (Mirth, HealthShare) Scripting skills (JavaScript, Python) Background in healthcare IT & data security If you thrive in a fast-paced, mission-driven environment and want to make a real impact in healthcare delivery — let’s talk. More ❯

manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps/LLMOps). Containerise workloads … through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. Develop automation scripts in Python to streamline operations and reduce manual tasks. Implement comprehensive monitoring, logging, and alerting to maintain high system reliability and performance. Provide technical support for complex issues and advise on modern … public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML More ❯