4,476 Recent Graduate jobs in the United Kingdom

Geek+ is a global technology company specializing in smart logistics. We apply advanced robotics and artificial intelligence technologies to create solutions for warehouse and factory operations.

With the rise of e-commerce and the demand for faster and more flexible movement of goods, warehouse and manufacturing operators are facing increasingly complex production and logistic challenges today. Speed, product diversification, same-day delivery, volume, safety… these concerns are impacting a wide range of industries, from apparel, retail, automotive, to even electronics, energy and pharmaceutical industries.

Geek+ was founded to be the solution to these problems. We make logistics affordable, efficient, flexible, safe and agile. Our vision is to establish a fully automated and intelligent supply chain globally.

Now Geek+ UK Branch has several vacancies for fresh graduates!

Graduation Period : From 1st August 2025 to 31st August 2026

Language skills : English and Chinese. Other languages would be a plus.

Solution Engineer:

Responsibilities:

• Develop the concept of warehouse layout with mobile robotics technology
• Evaluate and select components and solutions considering technical and economic aspects
• Analyze customer data to find the optimal solution
• Introduce and present solutions to customers in Europe, provide technical clarification/expertise
• Specify and request third-party components
• Prepare tenders and calculate project costs

Required capabilities, and skills:

• Completion of a degree in logistics, industrial engineering or other engineering majors
• Experience in automation logistics, good understanding of logistics processes is a plus
• Proficient in AutoCAD and MS Office, with practical application experience
• Detail-oriented with a high level of accuracy and time management skills
• Outstanding resilience, capable of maintaining composure in fast-paced work environments
• Very good written and verbal communication skills and the ability to present internally/externally

Product Engineer:

Responsibilities:

• Product Standards Alignment & Application: Collaborate with cross-functional teams to help the region understand, apply, and continuously refine product standards through hands-on implementation and feedback loops during hardware and system deployments
• Delivery Process Standardization: Work with the local hardware team to identify process gaps, improve delivery workflows, and develop standardized operating procedures to enhance project efficiency and quality across the EU region
• Pilot Project Support: Provide engineering support throughout pilot projects, ensuring technical requirements and quality standards are met
• Documentation: Assist in documenting best practices and creating technical guidelines to ensure process standardization
• New Product Introduction (NPI) cooperation: Enable NPI activities, including design reviews, process validation, and cross-functional communication, to ensure successful product launches

Required capabilities, and skills:

• Education: Bachelor’s degree (or higher) in Engineering, Mechanical Engineering, Electrical Engineering, or a related field
• Experience: Experience in product engineering, project support, or process development, with a focus on NPI
• Problem-Solving Skills: Strong analytical skills with the ability to propose effective solutions
• Communication Skills: Excellent collaboration and communication abilities, effective across diverse teams
• Detail-Oriented: Strong attention to detail with a passion for process improvement and standardization

• Assist in collecting, cleaning, and processing large datasets.
• Develop and implement statistical models and machine learning algorithms.
• Perform data analysis to identify trends, patterns, and insights.
• Create data visualizations and reports to communicate findings.
• Collaborate with senior data scientists on project tasks.
• Contribute to the development and deployment of data-driven solutions.
• Participate in training sessions and workshops to enhance technical skills.
• Support A/B testing and experimental design.
• Document methodologies and code.
• Present findings to project teams and stakeholders.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in at least one programming language, such as Python or R.
• Familiarity with data analysis and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn).
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies.
• Ability to work effectively in a hybrid environment.
• Previous internship or project experience in data analysis is a plus.
• A genuine passion for data and its potential impact.

• Undertake rotations across various data science teams, gaining exposure to different methodologies and industry applications.
• Learn and apply statistical modeling, machine learning algorithms, and data mining techniques to solve complex business problems.
• Assist in collecting, cleaning, and preprocessing large datasets from diverse sources.
• Develop and implement predictive models and data visualizations to uncover insights and support strategic initiatives.
• Collaborate with engineers and analysts to integrate data-driven solutions into existing systems and workflows.
• Participate in workshops, training sessions, and team meetings to enhance technical skills and business acumen.
• Contribute to the documentation of data models, processes, and findings.
• Present project outcomes and insights to relevant stakeholders.
• Engage in continuous learning to stay abreast of the latest advancements in data science and artificial intelligence.
• Adhere to data privacy and security best practices.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a closely related quantitative field.
• Strong foundation in statistical concepts, programming languages (e.g., Python, R), and database querying (e.g., SQL).
• Demonstrated analytical and problem-solving abilities, with a keen attention to detail.
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
• A passion for data and a strong desire to learn and grow within the field of data science.
• Previous internship or project experience in data analysis or a related area is beneficial but not mandatory.
• Must be eligible to work in the UK.

• Assist in the collection, cleaning, and preprocessing of large datasets.
• Develop and implement statistical models and machine learning algorithms.
• Perform data analysis and create insightful visualizations.
• Collaborate with senior data scientists on research and development projects.
• Contribute to the interpretation of results and the communication of findings.
• Support the deployment and monitoring of data models.
• Engage in continuous learning and stay updated with industry trends.
• Participate in team meetings and contribute to project discussions.
• Assist in generating reports and presentations for stakeholders.
• Support data-driven decision-making across various business units.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R.
• Familiarity with data manipulation and visualization libraries (e.g., Pandas, Matplotlib, Seaborn).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities for remote collaboration.
• Eagerness to learn and adapt to new technologies and methodologies.
• Demonstrated interest in data science through academic projects, internships, or personal projects.

Just finished your degree? We are looking for talented and passionate Software Engineers to join our Graduate Program 2025 intake!

At Compass, we’re on a mission to transform the school day for everyone. From staff and students to families and administrators, we build smart, seamless technology that empowers people to focus on what really matters: learning, growing, and thriving.

That mission has fuelled our growth into a global scale-up, now supporting over 5,000 schools across 3 countries. Backed by a team of 260+ passionate professionals, our all-in-one school management platform is redefining how education communities connect, communicate, and operate.

We’re now looking for Graduate Software Engineers to join our team. You'll work within a collaborative, high-performing product team that values ownership, innovation, and celebrating the wins that matter.

About the Graduate Program

Our Graduate Program is about bringing passionate individuals together to create software that shapes the future of education. We will provide you with a solid foundation to take your first steps into your career. Every step of the way, we’ll support you through a combination of structured training, informal on-the-job learning, regular check-ins, and inspiring mentors.

At Compass, you will:

• Create - Work with our talented team to build beautiful user experiences using HTML, CSS, JavaScript, and C#.NET, React and more on our flagship platform, Compass.

• Invent - Prototype new features and designs, then build, test, and ship them in our products.

• Improve - Work to increase the modularity and quality of our architecture, reducing duplication and improving developer efficiency.

• Learn - Work with, and assist in driving the implementation of new technologies which help us build great products. Start your professional career with confidence - learn beyond code with our goal-oriented workshops and personal branding and the tricks of the trade with lunch & learn sessions.

• Contribute - Autonomously develop ideas for new features and identify areas for improvement. Suggest solutions that are unique and brilliant.

Requirements

What you'll need to succeed

At Compass, we are always on the lookout for individuals who are able to bring a high level of energy and a positive and can-do attitude to our company. If you are someone who is passionate about coding and loves keeping up to date with new technologies - then this program is for you!

You don’t need to be an expert yet, but you’ll have a solid foundation in key areas, including:

• Familiarity with C# and .NET frameworks, and experience with React and/or working knowledge of JavaScript for building interactive user interfaces.
• An understanding of relational databases and the ability to write basic SQL queries to retrieve or manipulate data.
• Exposure to source control systems (like Git), and basic experience with debugging, versioning, and general software development workflows.

Benefits

What’s in it for you?

• We come together with our unique strengths to work towards a common purpose - shaping the future of education. When you join our team, you will collaborate with individuals who are passionate, driven, and open to embracing change in a fast-paced environment.
• A flexible working environment - our teams work 3 days in our office in Shepherd's Bush.
• Learning & Development opportunities - we want you to grow and get the most out of your role!
• 25 days Annual Leave + all statutory Public & Bank Holidays.
• 9.5% employer pension contribution to help you plan for the future.
• 24/7 access to our Employment Assistance Program (EAP) through the means of face-to-face, livechat and phone support.

It is a really exciting time to join Compass. We are growing and are looking for ambitious individuals who want to grow alongside us. Compass is proud to be an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive environment for all employees.

Prior to commencing employment, we will require:

• Verification of unrestricted work rights in the UK (eg citizenship, passport, or birth certificate).

Ready to make a difference?

Apply today and help us empower schools to focus on what matters most: teaching and learning.

Find out more about Compass on our website -  .

• Assist in collecting, cleaning, and transforming large datasets from various sources.
• Support senior data scientists in developing and implementing machine learning models.
• Conduct exploratory data analysis to identify patterns, trends, and insights.
• Contribute to the design and execution of experiments to test hypotheses.
• Develop reports and visualisations to communicate findings to stakeholders.
• Learn and apply statistical and machine learning techniques.
• Collaborate with cross-functional teams to understand business requirements.
• Participate in code reviews and contribute to documentation.
• Stay updated with the latest developments in data science and machine learning.
• Contribute to the continuous improvement of data processing pipelines.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field.
• Foundational understanding of statistical concepts and machine learning algorithms.
• Proficiency in at least one programming language such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies.
• A genuine interest in data science and its applications.

• Intensive training in data science methodologies, machine learning, and statistical modeling.
• Hands-on project experience in data analysis, predictive modeling, and data visualization.
• Mentorship from senior data scientists and industry experts.
• Exposure to diverse datasets and business challenges.
• Development of essential technical skills in Python, R, SQL, and data visualization tools.
• Opportunity to contribute to impactful business decisions through data-driven insights.
• Collaborative remote work environment with cross-functional teams.
• Ongoing professional development and networking opportunities.