experience implementing and maintaining critical systems at scale Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Ability to write maintainable and secure code in Python Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills More ❯
are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python, PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and More ❯
Your profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and More ❯
with at least 3 years in a senior or managerial role. Solid experience on multiple test frameworks and tools - Selenium, Cucumber, t-SQLT, JUnit, TestNG and scripting languages (e.g., Python, JavaScript). Proven experience with applications that have significant dependencies on stored procedures and complex back-end systems. Strong experience of development and automating applications that are heavy on stored More ❯
Expectations, Deequ), and A/B or shadow testing. - Experience with model monitoring frameworks - Solid knowledge of CI/CD for ML , including automated training and deployment workflows. - Strong Python engineering skills; experience with Docker and orchestration tools is a plus. - Excellent communication and documentation skills, and a strong collaborative mindset. Bonus Points - Experience in startups and/or fintech More ❯
Loughton, Essex, South East, United Kingdom Hybrid / WFH Options
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Strong experience with incident response planning, threat detection, and mitigation. Ability to define security policies, procedures, and structured action plans for compliance and risk management. Proficiency in scripting languages (Python, Bash, PowerShell) for security automation. Strong interpersonal skills to mentor and train internal engineers while working effectively in an office environment. Experience working with third-party support partners, vendors, and More ❯
Analytics/Data Science/Machine Learning/Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines. Experience working with databases and SQL. Experience using Language Models More ❯
years of professional experience in applied machine learning or engineering roles. Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus. Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras). Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices. Familiarity with CI/CD More ❯
verbal, written and visual communication of technical concepts. Proven experience working with data in an agile and dynamic team, with experience working with relational databases and writing SQL and Python or similar. Power BI (semantic data modelling and DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks More ❯
a highly regulated environment. Requirements: Hands-on experience with Azure and/or AWS cloud platforms. Have extensive experience in managing Kubernetes in production environments. Proficiency in scripting (e.g., Python, Bash, PowerShell, TypeScript). Familiarity with Infrastructure as Code and DevOps practices. Knowledge of Hyper-V management. Understanding of networking, security, and system administration (Linux/Windows). Experience with More ❯
different problems from monoliths to microservices, upskilling colleagues and customers, always finding themselves learning from others, while constantly striving to be nice humans Our teams have used Java, Ruby, Python, ES6 with React, as well as C# with .NET Core. We don't limit ourselves as a company and we expect all our Engineers to be keen on learning new More ❯
Java-based applications is a plus. • DevOps Mindset: An understanding of DevOps principles, with hands-on experience automating releases using Ansible. Programming and Data Skills: o Proficient in SQL, Python, or other similar languages with experience working in Agile environments. o Understanding of data integrity and audit practices, with the ability to collect, parse, and format large volumes of data More ❯
hosting, and throughput optimisation. Expertise in deploying and fine tuning large language models. Monitoring & Performance: Proficiency with monitoring tools such as Prometheus and Grafana. Programming & Automation: Strong proficiency in Python, with experience in developing production applications. Data Engineering & Streaming: Familiarity with data streaming tools and Elastic to ensure high performance in data-driven environments. Nice to Have: Neo4j Data Streaming More ❯
related field 3-5 years of experience in data science roles Creative problem-solving and solution scoping Strong grasp of mathematical, statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example Google Cloud Platform Version control management Ability to work efficiently without More ❯
Integrity, ethical standards, and sound judgment Expert Knowledge in One Or More Of Programming in a compiled language such as Java or C++, or an interpreted language such as Python, and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDB and Elastic Search. More ❯
life 8+ years of professional software development experience in distributed systems with emphasis on ML infrastructure - 8+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust - Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc - Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on More ❯
algorithms, data structures, complexity analysis, and object-oriented software design in Linux/Unix environments - Proficiency with one or more general purpose programming languages including but not limited to: Python, Java, Typescript, Scala, Golang, C++ or C# PREFERRED QUALIFICATIONS - Knowledge of best practices for the full software development life cycle; including coding standards, code reviews, source control management, build processes More ❯
Engineering, with pharmaceutical industry experience. Strong background in Generative AI , including LLMs, frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (AWS, Azure, Google Cloud). Proficient in programming languages (e.g. Python, R, Java) and familiar with data tools like Alteryx, Snowflake, Tableau, or Spotfire. Proven track record managing AI projects from concept to deployment, with sound project management skills. Strong analytical More ❯
stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills More ❯
stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills More ❯
stakeholders. Assist in automating key business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills More ❯
best practices in a cloud-native environment. Requirements: 3+ years of experience in backend/cloud engineering with AWS. 5+ years of Java backend development experience. 3+ years of Python development. Strong hands-on experience with AWS services: Lambda, S3, K8S. Deep understanding of data lake architectures and formats such as Parquet and Iceberg. Proficiency in Spring Boot and working More ❯
LLM application development Stay at the forefront of AI research and incorporate state-of-the-art techniques What You'll Need to Succeed Proficiency in programming languages such as Python, JavaScript, or TypeScript Experience working with foundational model APIs and pre-trained open source models Strong understanding of machine learning workflows, including model evaluations and LLM fine-tuning Familiarity with More ❯
a qualified UK actuary (Fellow of IFoA preferred) Minimum 5 years of relevant actuarial experience with strong focus on pricing and modelling Programming skills in R and/or Python Experience with technical platforms, pricing systems, or analytical infrastructure Experience with modern data architecture, APIs, and cloud-based solutions Project management skills with ability to lead complex technical initiatives Experience More ❯
all of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in Power Platform and Apps components (e.g. Power Apps More ❯