326 to 350 of 721 Python Jobs in Berkshire

is pushing the boundaries of AI and data-driven software, developing next-generation tools that integrate advanced machine learning with scalable backend systems. They're looking for an experienced Python Backend Engineer to support the build and integration of key AI components across their tech stack. THE ROLE As a Contract Python Backend Engineer , you'll take ownership of backend … development for a Python-based web application, ensuring smooth integration with AI/ML pipelines and data infrastructure. You'll work closely with data engineers, AI specialists, and frontend developers to deliver robust, production-quality software. Key Responsibilities: Build and maintain Python web applications (FastAPI preferred) Integrate AI/ML components with backend, data, and compute infrastructure Deliver clean, well … CI/CD workflows Monitor and improve performance metrics across deployed tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI, Flask, or similar) Strong cloud experience (GCP preferred) and understanding of core web app infrastructure Skilled in automated testing (pytest) and modern DevOps tools (Git/ More ❯

tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS and Azure) • Experience working in small More ❯

responsible AI adoption Candidate Profile Strong experience with LLMs (e.g. GPT, Claude, LLaMA) and prompt engineering Hands-on integration with tools such as LangChain, LlamaIndex, or similar Proficiency in Python or JavaScript for building prototypes and integrations Familiarity with automation platforms (UiPath, Power Automate, Zapier, n8n) Knowledge of vector databases and embeddings for RAG pipelines Excellent communication skills to translate More ❯

Monitor emerging pricing tools, analytics methods, and market best practices. About You: • Proven experience in data analytics, ideally within retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative More ❯

Good understanding of STL and Boost A very confident communicator Bonus: Experience working in the financial sector with financial knowledge Experience in a secondary programming language e.g. .Net or Python Interest in cloud technologies e.g. AWS What you will gain as a C++ Developer: Working alongside some extremely smart and passionate engineers Ability to take on considerable responsibility, demonstrating your More ❯

from a software development background specialising in Python. Strong skills across the Machine Learning tech stack - PyTorch, LangChain. Good understanding of LLMs. Strong technical background in Data, Development & Cloud – Python/Azure. Excellent collaboration and stakeholder management skills. Benefits : 5% Pension, Bonus, 25 Days Holiday + Bank & Wellbeing, Self-development tools & various perks. If this role is of interest, then More ❯

the platform Enable self-serve insights through well-structured models and documentation What you’ll bring 4+ years’ experience in data engineering or a similar technical data role Strong Python and SQL skills, plus solid data modelling ability Experience with GCP (BigQuery, Airflow, Pub/Sub, Cloud Storage) Familiarity with dbt, version control, and testing frameworks A collaborative mindset and More ❯

platforms. Promote data literacy across the company by communicating insights clearly and confidently. What You Bring 5+ years of hands-on experience in data analytics . Proficiency in SQL , Python , and Excel . Experience with version control tools (e.g. Git). A passion for using data to make things better—for people, products, and processes. Why You’ll Love It More ❯

need to work in the wild, not just in notebooks . What We’re Looking For Strong hands-on experience with machine learning engineering at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to More ❯

with component libraries (e.g. Storybook, Material UI, Chakra UI, or similar). Familiarity with frontend state management tools and data-fetching frameworks. Exposure to backend or cloud technologies (e.g. Python, AWS, databases) is highly beneficial. Comfortable leading large-scale frontend projects, setting coding standards, and mentoring other developers. Strong communication skills to collaborate effectively with designers, engineers, and stakeholders If More ❯

transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to translate data into actionable insights. Experience More ❯

a unified approach to data. YOUR SKILLS AND EXPERIENCE: Significant experience working with data in an analytical role, ideally in a consumer/tech company. Proficiency in SQL, dbt, Python, R and BI tools such as Looker, Lightdash or Tableau. Ability to translate business problems into analytical tasks and communicate insights clearly at all levels. AB testing/experimentation experience More ❯

degree (or equivalent qualification) Evidence of your passion for technology — whether through personal projects, internships, open-source contributions, or hackathons Familiarity with at least one programming language (JavaScript, TypeScript, Python, etc.) Willingness to learn React, TypeScript, Next.js, Tailwind CSS, and AWS A collaborative mindset and eagerness to be part of a growing team Why Join? Work with a modern tech More ❯

pricing and risk logic, market data processing, and order handling Optimise data flow and system throughput under real-time constraints Implement core components in Kotlin (some C++ and legacy Python/Java) Engineer for reliability, testing, monitoring and rapid fault recovery What You'll Bring Solid command of CS fundamentals, algorithms, architecture, systems, likely been a competitive programmer. Advanced experience More ❯

Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. More ❯

Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. More ❯

and policy documentation Requirements 4+ years’ experience in a data science, actuarial, or underwriting environment Strong quantitative background with a degree in maths, statistics, physics, or similar Proficiency in Python (e.g. pandas, scikit-learn) and comfort with statistical modelling Interest or prior experience in parametric insurance and/or climate risk modelling Track record of managing technical projects or small More ❯

Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. More ❯

retention, progressive passing, duel outcomes under pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models More ❯

Skills and Experience 3–5 years’ experience in a commercial or analytics role Skilled in SQL and a BI tool such as Power BI, Tableau, or DOMO Exposure to Python desirable Experience working across financial, customer, or digital data Strong communication skills with the ability to translate data into business action Backgrounds from digital, retail, media, tech, or FMCG work More ❯

sake. You should have: ✅ Proven hands-on experience in Palantir Foundry or Gotham – deployment, configuration, pipeline development ✅ Strong background in data engineering , analytics , or data architecture ✅ Coding experience in Python, SQL , or similar ✅ Experience delivering in secure , high-stakes, or classified environments ✅ DV Clearance (Developed Vetting) – this is essential. Unfortunately, we cannot progress candidates without it. 🌟 Why Join? This is More ❯

the role of digital and email marketing Make complex technical concepts simple for clients, by explaining the story behind the information The Person Experience with coding environments such as Python and SQL Highly proficient in Microsoft Excel, with experience in CRM/marketing automation tools such as Braze, Atreemo or DotDigital Skilled in data visualisation and reporting, with experience in More ❯

regulated industries (banking, fintech, insurance) Familiarity with operational risk reporting or audit processes Understanding of cloud-based service operations and performance monitoring Exposure to SQL, scripting, or automation tools (Python, Power Automate More ❯

technical touch. You'll thrive here if: You’re an experienced engineering leader who knows how to build and run reliable cloud platforms You’re comfortable with TypeScript, Go, Python or similar You treat platform like a product You're fluent in best practises when it comes to AWS, infrastructure as code and observability You’re excited to shape direction More ❯

Thinking: Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯