26 to 50 of 255 Python Jobs in Berkshire

and problem-solving skills. A strong quantitative background (STEM degree or equivalent skills). Desirable but not essential: Knowledge of Data Engineering and machine learning pipelines. Experience with .NET, Python, or R. Familiarity with the US gaming industry products ✨ We’re committed to building a workplace where everyone can thrive , regardless of background, identity, or experience. More ❯

processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph More ❯

production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing More ❯

person collaboration at our office. What We’re Looking For: 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness More ❯

About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead More ❯

right solutions What we’re looking for: At least 3 to 5 years of experience in data science, with a strong focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and More ❯

datasets and collaborate with teams to design suitable data models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/ More ❯

Some Object-oriented programming language experience like Java. Some understanding and knowledge of the components in the web applications stack. Some understanding and knowledge of the scripting languages - JavaScript, Python, Perl, Unix Shell, Windows Shell. Some understanding and knowledge of Linux/Unix. Strong experience with relational databases (e.g. MySQL, Oracle). More ❯

years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

Science, or a related discipline 2+ years of experience in finance, data science, or a closely related field Strong understanding of macroeconomics, financial markets, and investment principles Proficiency in Python, with experience in data manipulation libraries such as pandas and NumPy Strong analytical skills with the ability to design efficient data pipelines and workflows Excellent communication skills, able to convey More ❯

proven hands-on ability. Proven track record of managing and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git More ❯

actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience More ❯

leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in More ❯

/client-stories/Skills you’ll need: Demonstrated experience as a Senior Data Engineer in complex enterprise environments Deep understanding of technology fundamentals and experience with languages like Python, or functional programming languages like Scala Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake Commendable skills in More ❯

Systems Thinking methodologies • Skilled in identifying and validating opportunities for technology-driven process optimization, including automation and AI implementation • Minimum of 5 years’ experience in one or more languages (Python preferred). • Commercial & Open-Source Frameworks to process end to end data management life cycle for NLP, Vision, or similar AI/ML domain. • Bachelor's Degree in Engineering, Mathematics More ❯

role (e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems More ❯

or emails that explain complex issues to a broad set of stakeholders, and requires the ability to construct well-structured and reasoned narratives. Reasonable fluency in a scripting language (Python or Awk) for data analysis Basic SQL to access and analyse Oracle DB data Basic Unix skills Our systems are complex, need to be self-starting at using multiple resources More ❯

closely with Databricks professional services on marquee client engagements. 🛠️ Databricks-Focused Tech Stack: Databricks (Primary platform - all roles) Databricks ML/MLflow AWS/Azure/GCP (Databricks deployment) Python & SQL (Databricks native) Delta Lake & Unity Catalog 💰 Package: Salary: £70k-£110k (negotiable) Performance bonus Professional certifications funded 20 dedicated development days Flexible hybrid working 📍 Location: London Ready to join this More ❯

junior engineers and shaping technical strategy for FTSE clients. 🛠️ What We Need 5+ years data engineering experience with strong Snowflake platform expertise including Snowpipe, Snowpark, and Dynamic Tables Advanced Python & SQL skills and cloud platform experience (AWS/Azure/GCP) Proven client-facing capabilities and leadership experience SnowPro certifications highly valued 💰 What's On Offer Starting at £70k+ with More ❯

and shaping best practices. Working across embedded, automation, and cloud-based infrastructure (AWS). Collaborating on AI/ML projects and data-driven improvements. Required Experience: Strong background in Python (with some C++). Experience in embedded systems and automation/control mechanisms. Track record of leading or mentoring software engineers. Exposure to AWS and AI/ML frameworks (PyTorch More ❯

business challenges Perform data mining and extract usable insights from multiple data sources Use machine learning tools to select features, create, and optimize classifiers Qualifications: Programming Skills: Expertise in Python; Scala/Java knowledge is an advantage OpenTelemetry Expertise: Strong understanding of OpenTelemetry stack (VMs, middleware like IIS/Apache, hypervisors, databases, etc.) and OTLP formatting/structuring Ability to More ❯

Science, STEM field, 2:1 OR ABOVE. 2+ years’ experience in infrastructure or DevOps roles. Proficient with operating systems, cloud technologies, and hardware. Strong scripting/automation skills (PowerShell, Python). Understanding of containerisation/orchestration (Docker, Kubernetes). Excellent troubleshooting and communication skills. Security and monitoring knowledge desirable. More ❯

across underwriting, fraud, and customer conversion. A hands on role, working with both structured and unstructured data in a fast-paced, collaborative team. What We’re Looking For Strong Python (pandas, sklearn, etc.) and advanced SQL Experience in behavioural or credit models Good understanding of ML algorithms Clear communicator across technical and non-technical teams Knowledge of data drift and More ❯

including full lifecycle delivery Strong C++ Linux development background Experience with embedded software & hardware integration Desirable Skills: Embedded Linux development, Yocto, kernel config, or device drivers Familiarity with Qt, Python, RESTful APIs, oor AWS Experience in video systems, networking (TCP/IP, multicast), or cross-functional engineering teams What you’ll get: £60-70k (Dependent on experience) Very generous More ❯

modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role does not offer visa sponsorship** How to Apply More ❯