1 to 25 of 104 Permanent Python Jobs in Lancashire

Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data replication technology such as Fivetran HVR. Excellent problem-solving More ❯

containerisation technologies such as Docker or Kubernetes, for example. - Experience with Infrastructure as code technologies like ansible or terraform. - Ideally a has a coding background, utilising languages such as Python, Java, Spring Boot- Strong communications abilities, with experience in stakeholder management. TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . For further information please More ❯

role Strong technical proficiency in data modelling, data warehousing, and distributed systems Hands-on experience with cloud data services (AWS Redshift, Glue, EMR or equivalent) Solid programming skills in Python and SQL Familiarity with DevOps practices (CI/CD, Infrastructure as Code - e.g., Terraform) Excellent communication skills with both technical and non-technical audiences Experience with Agile/Scrum methodologies More ❯

Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field More ❯

AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground up. A More ❯

experience in data analysis and visualisation, particularly using Power BI, Excel, and SQL. Hands-on knowledge of predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation More ❯

containerisation technologies such as Docker or Kubernetes, for example. - Experience with Infrastructure as code technologies like ansible or terraform. - Ideally a has a coding background, utilising languages such as Python, Java, Spring Boot TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . For further information please call me:/. By applying for this More ❯

containerisation technologies such at Docker or Kubernetes, for example. - Experience with Infrastructure as code technologies like ansible or terraform. - Ideally a has a coding background, utilising languages such as Python, Java, Spring Boot- Strong communications abilities, with experience in leadership and stakeholder management. TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . For further More ❯

runbooks What we’re looking for Hands-on experience with Azure and a willingness to grow cloud expertise Practical exposure to Docker and containerisation Ability to script in Bash, Python, PowerShell, or work with YAML pipelines Familiarity with Azure DevOps CI/CD pipelines Interest in Infrastructure-as-Code, including Terraform or Bicep Basic networking knowledge and a desire to More ❯

and can translate their requirements into effective solutions. Essential Skills & Experience: UK Resident - Position requires Full Security Clearance Bachelors or Masters degree in a STEM subject Programming experience in Python, R, SQL, SAS Experienced with DevOps processes Experienced working in regulated industries Experienced on the Microsoft Azure stack Excellent stakeholder and communication skills. 4+ years experience in data engineering Experience More ❯

and commitment to engineering best practice Collaborative mindset and continuous-learning approach Desired Financial services or regulated-industry exposure Docker/Snowpark Streaming tech (Kafka, Event Hub) Collibra integration Python proficiency In return In return, they’re offering a fantastic package including £100k salary plus 10% bonus, 9% pension, LTIP and hybrid working (3 days per week from their city More ❯

and healthcare commissioning. Experience in predictive modelling, demand and capacity planning, or statistical analysis. Proficiency in BI tools (e.g., Power BI, Tableau, Qlik). Experience with SQL, R, or Python for data analysis. Ability to design automated reporting solutions. Qualifications Essential Degree in a numerate, analytical, or health-related subject (e.g., Mathematics, Statistics, Economics, Informatics, Public Health) or equivalent experience. More ❯

Qualys, Metasploit, Kali Linux. Familiarity with cloud security (AWS, Azure, or GCP). Confident communicator with client-facing experience. Bonus points for: Public sector testing experience. Code review skills (Python, Java, JavaScript). CHECK accreditation (CTM/CTL). Active or eligible SC clearance (five years’ UK residency). More ❯

technologies (Mongo/MariaDB/MySQL/Oracle or similar) Deep understanding of database architecture, replication, partitioning, and performance tuning Proficiency in Linux administration and scripting (Bash, Shell or Python) Understanding of DevOps methodologies ad practises (IaC, CI/CD, etc.) Excellent communication skills and a collaborative mindset The Benefits: Salary £85,000 Company bonus scheme Hybrid working from Manchester More ❯

to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online More ❯

to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online More ❯

and manage AI governance and risk Required Skills & Experience Production experience with Generative AI, LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree More ❯

impact. You’ll be hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Proven experience working in a consultancy environment — able to manage multiple clients and projects Great communication skills — able to More ❯

candidates with a blend of the following: Strong knowledge of AWS data services (Glue, S3, Lambda, Redshift, etc.) Solid understanding of ETL processes and data pipeline management Proficiency in Python and PySpark Experience working with SQL-based platforms Previous involvement in migrating on-premise solutions to cloud is highly desirable Excellent collaboration skills and ability to mentor others The Benefits More ❯

experience in AI/ML strategy and implementation within a commercial setting. Strong leadership and team management skills. Hands-on expertise with AI frameworks (TensorFlow, PyTorch) and programming languages (Python, R). Solid understanding of cloud platforms (Azure preferred) and data architecture. Excellent communication and stakeholder engagement abilities. Bonus experience: Familiarity with Microsoft Power Platform and low-code/no More ❯

Data Science, Statistics, or a related technical discipline. Solid foundation in data analysis, with a keen interest in specializing within the tech sector. Proficiency in Excel; proficiency in SQL, Python, R, or other data analysis tools strongly preferred. Awareness of the tech industry landscape, including its challenges and dynamics. Exceptional problem-solving capabilities and meticulous attention to detail. Strong communication More ❯

skills, including complex formulas & data visualization. Knowledge of Data Warehouse/Data Lake architectures and technologies. Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala. Experience with any of the following would be desirable but not essential; Microsoft's Fabric data platform, Experience with ADF such as managing pipelines, API More ❯

take to be an Observability Engineer? Proven experience in observability, monitoring, or telemetry engineering. Hands-on experience with observability tools and telemetry systems. Strong scripting and automation skills (e.g., Python, Bash). Background in SRE, DevOps, or infrastructure operations. Understanding of distributed systems and cloud-native architectures. Familiarity with infrastructure-as-code and CI/CD practices. Excellent collaboration and More ❯

environments. Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep … Proficiency in statistical methods and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential … testing, Python package building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor and lead a team More ❯

practice and innovation; with stacks of career progression opportunity for yourself You'll have real influence on tech strategy across a modern, cloud-based language agnostic stack (.NET, Java, Python, Node.js, AWS, Azure). Want more info? Get in touch for an informal chat More ❯