on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in more »
Work with people from across the globe Create and improve innovative products with a real world impact Responsibilities: Research, design, and implement machine learning algorithms and models to address business challenges and opportunities. Collect, preprocess, and analyze large datasets to extract meaningful insights and features. Develop and deploy scalable machine more »
machine learning · Data Sourcing, Cleaning and Exploration · Analyse and visualize data at different stages of the ML lifecycle · Capable of developing custom models and algorithms · Work with multiple datasets and generate synthetic data · Develop data annotation strategies · Communicate with stakeholders across the business · Inspire and contribute to the modelling workflow more »
experience with languages like Python • Experience working in an enterprise environment • Experience working within an Agile environment • Strong computer science fundamentals in data structures, algorithms, complexity analysis and object orientated programming • Ability to contribute through the complete SDLC from requirements to deployment using Git, Jenkins and other similar tools. • Minimum more »
Greater Sheffield Area, United Kingdom Hybrid / WFH Options
Productive Machines
optimisations. Extract features from CAD/CAM software Analyse large manufacturing datasets using statistical techniques and machine learning algorithms. Develop predictive models and optimisation algorithms to maximise business opportunities. Clean, preprocess, and wrangle disparate manufacturing data to ensure accuracy and reliability. Working in our technical team, you will report to more »
concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Mastery of modern web technologies - i.e. Javascript is essential: Node, React, Angular, etc. Proficient in at least one all purpose imperative more »
pipelines. • Prototype, automate, and implement data pipelines, ensuring the efficient and secure transfer of data between systems. • Develop and optimize data analytics models and algorithms to facilitate advanced data analysis and reporting. • Utilize rapid build technologies and frameworks to expedite the development and deployment of data solutions. • Collaborate with data more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics). Information Technology more »
of the team. Willingness to learn domain fundamentals and explain calculation logic to users. Qualifications Computing fundamentals: Working knowledge of common search and sort algorithms, basic data structures such as lists, maps, trees, and graphs, multi-threaded programming, computer networking, and operating systems. Databases: Basic knowledge of SQL. Familiarity with more »
cloud computing, AWS preferred but Azure also fine You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and have great communication skills You're degree educated, having achieved a 2.1 or above in Computer Science or similar technical discipline more »
Central London, London, United Kingdom Hybrid / WFH Options
Client Server
cloud computing, AWS preferred but Azure also fine You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and have great communication skills You're degree educated, having achieved a 2.1 or above in Computer Science or similar technical discipline more »
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Indotronix Avani UK Ltd
an astute analytical mindset, you will deliver profound insights to our clients. Your responsibilities span from intricate data exploration and visualisation to seamlessly integrating algorithms into software and constructing sophisticated data processing pipelines for presentation to our customers. As a seasoned professional, your relentless pursuit of knowledge will drive you more »
necessary to develop and utilize appropriate data modelling, data collection, data engineering, and databasing techniques, as well as skills to design, build/use algorithms, models, and simulation techniques that enable inferential statistics, predictive analytics, and visualization of compiled data. -Advanced skill in articulating and negotiating very complex and sensitive more »
Swansea, Wales, United Kingdom Hybrid / WFH Options
BJSS
in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »
Cardiff, Wales, United Kingdom Hybrid / WFH Options
BJSS
in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »
