651 to 675 of 743 Python Jobs in Berkshire

create reusable, well-documented tools enabling collaboration across teams. A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data More ❯

NLP/GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite in Central London - do not apply if needing fully remote or not UK based for tax purposes) Sponsorship not available - do not apply if needing sponsorship to work in the UK Certain Advantage are recruiting on behalf of our global … Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical … Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and More ❯

Data Engineer – Onsite (Central London) ⭐️ £50,000 – £55,000 + benefits ⭐️ 5 days onsite – Central London ⭐️ SQL, Python, API development ⭐️ Financial background preferred Join a leading investment management firm with a strong reputation for innovation in the financial sector. This is a fantastic opportunity to play a key role in building and maintaining robust data infrastructure supporting high-value investment … strategies. We’re looking for a hands-on Data Engineer with solid SQL skills and experience in building and maintaining back-end APIs. SQL - strong experience essential. Python experience required. Proven experience in API development and maintenance. Previous experience within a financial services or investment management environment preferred. Strong analytical mindset and attention to detail. Excellent problem-solving and communication More ❯

support mortgage origination, valuation, analytics, and reporting — one of the firm’s most strategically important investment areas. As part of this team, you’ll design and deliver production-grade Python applications that automate workflows, modernise legacy systems, and bridge the gap between current and next-generation infrastructure. You’ll work directly with stakeholders across investments, risk, finance, and operations, driving … tangible business impact through technology. Responsibilities • Build and maintain Python-based tools supporting mortgage analytics, valuation, and reporting. • Develop production-grade applications and contribute to the migration of legacy models. • Identify automation opportunities across data pipelines, analytics, and reporting. • Collaborate with business teams to gather requirements and deliver scalable solutions. • Champion best practices in testing, documentation, and maintainability. Requirements • Strong … proficiency in Python • Experience delivering solutions in business-facing environments. • Exposure to mortgages, fixed income, or structured assets desirable. • Familiarity with Rust or C++ beneficial but not required. • Strong problem-solving, communication, and stakeholder engagement skills. My client anticipates to pay a strong performer upwards of £300k year 1 total compensation package. As well as a market-leading compensation package More ❯

An Exciting Opportunity for a Beacon platform experienced Python Developer to join a World Leading Commodity Trading company. Job Summary: The Trading Risk Management 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 … 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 - Experience designing and building customer facing … written communication skills. - Strong organizational and interpersonal skills. - Exceptional problem-solving abilities. Education and Experience: - Degree in Computer Science or related field. - 4+ years of software development experience using Python or any other OOP languages. More ❯

Quantitative Developer – React/C# Location: London Industry: Hedge Funds Travel: Hybrid Overview: A leading global quantitative investment manager is seeking a skilled Quantitative Developer (React/C#/Python) to join their London-based team. You will work as a desk-facing developer alongside global cross-asset systematic trading operations in a fast-paced, evolving setting. The position demands … Provide daily technical support and trading insights to multiple activities and asset classes. Build, optimize, and maintain reporting and analytical tools for research and trading, leveraging React, C#, and Python frameworks. Take ownership of production processes to align with dynamic business objectives. Collaborate closely with analysts, quants, and developers, offering constant feedback on investment strategy performance. Expand and upgrade software … a team-oriented, collaborative environment. Experience: Minimum 3 years experience as a software engineer. Front-end experience with React, MUI, AG-Grid, and ECharts. Advanced proficiency in C and Python (required). SQL expertise preferred. Strong communication, organizational skills, and ability to multitask. Ability to work independently and collaboratively with a global team. Prior buyside experience is essential. Compensation: Salary More ❯

Software Engineer - Python (FinTech) Join a fast-growing fintech on a mission to redefine how people interact with their finances. Help build a real-time platform that empowers individuals and businesses with smarter, faster and more transparent financial tools, all wrapped in a seamless user-centric experience. We believe in challenging the status quo, building products people love, and having … fun along the way. We’re looking for a talented Python Engineer who’s passionate about creating an exceptional real-time data platform that will process and deliver data instantaneously; allowing for instant insights and actions. In finance, these systems are crucial because markets move very quickly, and delays of even milliseconds can have big consequences. Essential skills: 3+ years … of experience in Python development. 3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and building products that make a real difference. Day to day: Develop and maintain our real-time data streaming More ❯

and deliver client-specific integrations and workflows. Key Responsibilities: Manage end-to-end client implementations, from requirements gathering through delivery and acceptance Build and configure technical solutions using APIs, Python, and SQL Develop integrations with client and third-party systems Translate business and functional requirements into scalable solutions Support clients with data modelling, product configuration, and workflow design Requirements: Strong … proficiency in Python and SQL (essential) Experience with investment data, trade lifecycle, and multi-asset products Exposure to systems such as PMS, OMS, EMS, or Risk/Compliance platforms Client-facing experience within financial technology or investment operations Excellent problem-solving and communication skills Location: London (Hybrid More ❯

Senior Full Stack Engineer | £70,000 - £80,000 + Equity | Hybrid (Wokingham-based) | Python | React | AWSLocation: Wokingham, UK (Hybrid – 2–3 days office-based)Salary: £70,000 - £80,000 + £10k equity packageTech Stack: Backend: Python (Flask/FastAPI/Django) Frontend: React, TypeScript Cloud: AWS Are you an experienced Full Stack Engineer who thrives in fast-moving, product-led … joining a team building meaningful, human-focused AI products Get in touch at or call for a confidential chat.Senior Full Stack Engineer | £70,000 - £80,000 + Equity | Hybrid | Python | React | AWS More ❯

is seeking an experienced Risk Analyst to join their Risk Systems Operations team. This role focuses on supporting market and counterparty risk applications and ensuring smooth production services. Strong Python and SQL Skills needed for this position. Key Details: Location: London (50% onsite) Work Pattern: Hybrid – 2 to 3 days per week in the office Industry: Investment Banking Contract Type … teams Drive process improvements and contribute to agile delivery Requirements: Strong experience in Data Analysis within financial services Expertise in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering Excellent communication More ❯

to-end data pipelines linking core platforms (CRM → data lake → AI systems) Architect schemas and transformation layers optimized for analytics, automation, and AI workflows (RAG/internal copilots) Build Python and API integrations , using low-code/no-code tools (Zapier, Make, Matillion) where it speeds things up Prototype internal automations and AI-driven tools to streamline operations and M … A integration processes Monitor, ensure reliability, and scale integrations and pipelines Document and modularize infrastructure for future AI engineers ✅ Must-Haves: Python & SQL experience Data engineering skills : pipeline design, data modeling, schema development Experience with API integrations, webhooks , and low/no-code automation tools (Zapier, Make, Matillion) Comfortable in AWS or Azure environments Pragmatic, hands-on builder: you ship … AI and automation, with experience or interest in RAG, internal copilots, or AI workflows Able to communicate clearly with technical and non-technical stakeholders 📩 Interested? If you’re a Python + data + integration engineer who enjoys building AI foundations rather than just maintaining systems, apply now — this role puts you at the centre of a real AI transformation, with More ❯

excellent cloud knowledge, ideally AWS but can also consider other clouds. As well as this you will also be expected to have knowledge of Ansible as well as having Python or Java experience is a must. As the DevOps Engineer, you will be a self-starter who has excellent stakeholder management experience who can show outcome based work. You will … note you will be expected to go to the office 2 days per week. Skills required for the DevOps Engineer: • Knowledge of AWS or GCP • Working experience of Ansible • Python or Java experience •Excellent communicator This is a really exciting opportunity to rapidly grow your skill set and work closely with some of the most talented Developers and Analyst's More ❯

Linux network stacks, automate infrastructure, and reduce latency across the pipeline. Partner closely with developers and infra teams to improve architecture, reliability, and performance. Drive adoption of modern tooling (Python, Bash, Terraform, Kubernetes, Prometheus, etc.) while staying hands-on. What we’re looking for: Proven experience managing production systems in a global cloud environment, ideally across multi-region or multi … cloud setups. Hands-on experience configuring and managing proxy servers in complex, distributed environments Skilled in Python/Bash and comfortable debugging distributed systems. Experience in high-throughput, low-latency, or large-scale environments (finance, trading, or scraping preferred). If you’re an engineer who loves optimisation, systems performance, and solving real production challenges - please apply. More ❯

Senior Data Engineer (AWS Kafka Python) London/WFH to £85k Are you a tech savvy Data Engineer with AWS expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Senior Data Engineer you will design … in London). About you: You are an experienced Data Engineer within financial services environments You have expertise with AWS including Lake formation and transformation layers You have strong Python coding skills You have experience with real-time data streaming using Kafka You’re collaborative and pragmatic with excellent communication and stakeholder management skills You’re comfortable taking ownership of … mental health Travel Insurance Charitable giving Gym membership for you and your family Flexible holiday scheme Apply now to find out more about this Senior Data Engineer (AWS Kafka Python) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come More ❯

leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data science … frequency loads). Automate data ingestion and processing workflows with Snowflake and modern orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). … by enabling scalable data systems across regions. What We’re Looking For Strong experience in data engineering and architecture roles. Deep knowledge of SQL, Snowflake (or similar DWHs), and Python . Proven track record of building robust, automated ETL/ELT pipelines . Familiarity with distributed systems and handling large-scale data (millions of rows/sec) . Experience with More ❯

includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both More ❯

includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both More ❯

practice growth through proposals, bids, and go-to-market activity Requirements 10+ years’ experience across forensics, financial crime, risk, or compliance Strong foundation in data engineering and AI technologies (Python, Azure) Proven consulting experience and comfort managing client stakeholders Leadership experience mentoring and scaling delivery teams Background in financial services (banking, capital markets, insurance) Key Details Location: London … days/week in office) Sponsorship: Available Salary: up to £95k + benefits Tech Stack: Azure, Python, data engineering, GenAI/LLMs Reporting Line: Partner – Forensic Data Analytics Interested? Please apply below. More ❯

and traders across desks and regions. What You’ll Be Driving Architect and build a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar … visibility Take the lead on cloud infra design , deployment, and automation What You Bring 5+ years building data platforms in systematic trading, fintech, or high-throughput environments Mastery of Python and SQL – C++ is a plus Experience with cloud-native stacks (ideally AWS ) and interest in infrastructure as code A structured, pragmatic mindset with strong ownership and autonomy Ability to More ❯

an emphasis on high-performance, data-intensive frontend systems. Collaborate directly with investment professionals, quants, and data scientists to develop responsive dashboards and analytical interfaces. Integrate frontend components with Python-based backend services and APIs. Optimise application performance for large datasets, leveraging efficient data manipulation and visualisation techniques. Qualifications: 1–7 years of professional software engineering experience. Strong academic background … from a leading university. Deep experience with modern JavaScript frameworks (React preferred), TypeScript, and data visualisation tools. Proficiency in Python and familiarity with data workflows and backend frameworks (FastAPI/Flask). No sponsorship available – candidates must have the right to work in the UK. More ❯

intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and customer behaviour analytics. Develop Power … in the betting platform. What you’ll bring Proven experience as a Data Engineer in sports betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience More ❯

LlamaIndex . Fine-tune and optimise Large Language Models (LLMs) for performance, accuracy, and cost efficiency. Build evaluation pipelines to ensure model reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI . Work with … with data, design, and engineering teams to improve model reasoning and user experience. Skills & Experience: Strong hands-on experience deploying ML models in production environments. Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. More ❯

teams to embed machine learning solutions into the core product Provide technical leadership and mentorship to junior and mid-level data scientists Influence data architecture and support backend infrastructure (Python/Django/Go) for scalable ML deployment Play a strategic role in shaping the future direction of data science within the business What We’re Looking For 4+ years … field (e.g., Computer Science, Applied Mathematics, Engineering) is highly preferred Demonstrated ability to deploy production-level ML models—particularly in optimisation, demand forecasting, or computer vision Advanced proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, or PyTorch Solid understanding of supervised and unsupervised learning, statistical modelling, and mathematical optimisation Hands-on experience with AWS services, especially SageMaker More ❯

and LPAR environments. Manage lifecycle tasks: provisioning, patching, kernel tuning, backups and system upgrades for RHEL/SLES on Z. Implement automation for repeatable operations (Ansible, Terraform, shell/python), CI/CD pipelines for platform-level changes. Monitor platform health, investigate incidents, perform root-cause analysis and drive permanent fixes. Collaborate with mainframe z/OS, storage, networking and …/SLES on Z) — strong hands-on experience with z/VM, LPAR management and guest lifecycle. Solid Linux sysadmin skills: kernel tuning, package management, troubleshooting, scripting (bash + Python preferred). Experience with automation tools: Ansible, Terraform or equivalent. Understanding of mainframe hardware/IO concepts (channel subsystem, FICON, zSeries fundamentals) and basic z/OS interplay. Good knowledge More ❯

with cross-functional teams including developers, infrastructure engineers, and project managers to ensure timely resolution of issues and alignment on priorities. - Work on automation using but not limited to Python, Shell scripting, Gitlab pipeline Required Skills and Qualifications: - Proven experience in IBM DataPower development, configuration, and troubleshooting within enterprise environments. - Familiarity with mainframe systems, integration with DataPower where applicable. - Good … solutions. - Ability to work under pressure and manage multiple priorities in a fast-paced environment. - Strong problem-solving skills and a proactive approach to identifying and resolving issues. Desirable: Python knowledge, Automation experience, Experience with Gitlab pipeline More ❯