1 to 25 of 145 Python Jobs in Slough

and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps More ❯

Bicep. Hands-on experience with DevOps practices and tools such as GitHub Actions, Azure DevOps, or Jenkins. Knowledge of networking, security, and identity management in Azure. Experience with PowerShell, Python, or Bash scripting . Strong troubleshooting and problem-solving skills. Excellent communication skills and ability to work in a collaborative, Agile environment. Desirable Skills Azure certification(s) (e.g., AZ More ❯

to observability, SRE, and DevSecOps in production systems Act as a trusted point of contact for both internal and client-facing technical discussions Key Skills & Experience Proficiency in Java, Python, Go, JavaScript/TypeScript Strong experience with frameworks and tools including Spring Boot, React, Node.js, Docker, Kubernetes, and Terraform Deep understanding of modern architecture patterns such as microservices, RESTful APIs More ❯

CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public cloud platforms (Azure/Azure Stack) . Strong scripting skills (Python, Bash) are a plus. Key Skills: Proven track record as a Senior Elastic Consultant delivering complex solutions. Ability to mentor and support junior colleagues effectively. Strong problem-solving and analytical More ❯

Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large More ❯

to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and best practices for ML development and deployment. Skills & Experience Essential: Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering More ❯

Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with More ❯

LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

Dev/Yarn/npm Platform - Docker/Nginx Desirable Technical Skills Serverless AWS/GCP – API Gateway/Lambda Orchestration Stack – Kubernetes/Nomad Experience with Java and Python Education & Experience Bachelor’s degree in computing, science, or engineering. At least 3 years of software development experience in a commercial environment. Track record of delivery and support of business More ❯

Leveraging modern cloud and MLOps tooling to build scalable, reliable solutions Communicating data-driven insights and influencing both technical and business stakeholders What We’re Looking For Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and More ❯

and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language processing, or data visualisation. Adaptability and willingness to learn in a fast-paced startup environment. Nice to have More ❯

data engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management More ❯

data offering. Essential Skills & Experience Proven experience in data engineering, analytics engineering, or a related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated More ❯

data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster More ❯

efficiency and system performance • Implement robust risk management and stress-testing tools 🎯 What You Bring • 5+ years Java (OOP, low-latency systems) • 4+ years FX or Crypto trading experience • Python (NumPy, Pandas, SciPy) • SQL or time-series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn More ❯

of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and problem-solving More ❯

Science, ideally with consulting exposure. Strong academic background (MSc/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package More ❯

design and implementation of modern web applications, APIs, and digital platforms that are reliable, secure, and built to scale. Hands-On Architecture: Set the technical direction for projects using Python (Flask or Django) and React.js, ensuring high standards of performance and maintainability. Team Development: Coach and support engineers at all experience levels, encouraging professional growth, technical excellence, and collaborative delivery. More ❯

design, build, and optimise scalable data pipelines and models that power analytics across the company. Key Skills: 3–5+ years as a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You More ❯

Skills & Qualifications Experience: 3+ years in NLP, transformer models, deep learning, and scalable AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX . Strong familiarity with distributed computing and data engineering tools (e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training More ❯

preferred; Strong publication record in top-tier conferences/journals (e.g., NeurIPS, CVPR, ICML, AAAI, TPAMI, Nature, Science). Technical Expertise: Proficiency in at least one major programming language (Python, Java, C++, Go, etc.) with a solid foundation in data structures and algorithms; In-depth understanding of core algorithms and engineering implementation in AI, Machine Learning, or Computer Vision; Familiarity More ❯

of emerging tools and platforms What You'll Bring Essential Experience: University degree (2:1 minimum) in analytical field 5+ years in analytics/intelligence function Expert-level: Databricks, Python, SQL, Excel, JavaScript Advanced Excel skills including macro development Experience with Qlik Proven track record in cross-team project management Passion for technology and automation Highly Valued: Investment Management exposure 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 ❯

Software Developer Location: Manchester, Cheltenham or London Clearance required: eDV Duration: 5+ months Role Description: • Java development • Object store configuration and containerisation • Docker, Kubernetes • Back-end software development using Python and Java • Relational databases and SQL • Experience integrating 3rd party software, scripting/glue work • Experience building and deploying web user interfaces • Experience working closely with or in national security More ❯

Architect Professional-level Google Cloud certification Strong knowledge across GCP services (Compute Engine, GKE, Cloud Storage, App Engine, etc.) Hands-on experience with infrastructure as code (Terraform) and automation (Python, Bash, CI/CD pipelines) Proven track record designing and implementing secure, scalable cloud architectures Excellent communication skills with the ability to engage both technical and business audiences Experience leading More ❯