13 Docker jobs in the United Kingdom
AI Engineer (CI/CD, Terraform, Docker) - UK
Posted 1 day ago
Job Viewed
Job Description
At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions-whether it's calculating the cost to insure a global superstar's concert tour or protecting entire states from natural disasters.
With hx Renew, insurers can rapidly develop and iterate pricing models in Python and React within a modern software environment, free from the burden of legacy tech. What once took months now takes weeks-or even days. This agility has made our product the go-to platform for insurers worldwide.
In just five years, our winning formula has earned the trust of industry giants like Aviva and Top 5 US insurers, as well as cutting-edge innovators like Convex and Inigo. Our engineering team-made up of some of the brightest (and kindest!) minds in the industry-pushes technological boundaries every day through creative innovation and regular hackathons.
Your Mission
We're expanding our Engineering Velocity team with a brand new role focused on AI enablement. Our mission is simple: empower engineers to deliver better, faster, and safer.
Over the past months, we've been exploring how AI can improve developer workflows. We've integrated tools like Codeium and Windsurf IDE, and we're currently evaluating AI-powered solutions for code reviews. But we know there's more we can do-and that's where your expertise and enthusiasm come into play.
We're looking for someone excited about applying AI to improve the developer experience-whether through automation, smarter tooling, or rethinking how engineers work. You'll help us go beyond off-the-shelf tools and lead new initiatives that accelerate how engineers build, ship, and operate software at hx.
Key ResponsibilitiesnLead AI-driven initiatives:
Identify opportunities to apply AI in meaningful ways that improve how engineers work, automating repetitive tasks, accelerating decision-making, and improving productivity.nShape AI adoption at hx:
As the person leading this effort, you'll define the approach to incorporating AI into engineering workflows, helping us discover and implement the best AI tools and techniques that will drive real impact.nCollaborate and share knowledge:
Make AI accessible to your teammates by sharing knowledge, fostering a culture of learning, and empowering others to contribute to AI-driven projects. You'll help others grow their skills and contribute to AI initiatives.nPush the boundaries of what's possible:
Always be on the lookout for ways AI can make us faster, more efficient, and more effective. You'll tackle challenges and find creative solutions that shape the direction of AI within the technology department.nKey Skills and ExperiencenProven problem solver:
Proven experience building internal tooling and platforms to support engineering teamsnExperience with AI technologies:
Hands-on experience working with LLMs or related AI technologies, with a practical understanding of how to apply them effectively to real-world developer workflows.nSolid technical foundation:
Strong experience in DevOps practices with hands-on knowledge of cloud technologies (AWS), infrastructure as code (Terraform), CI/CD pipelines (GitLab), and containerization (Docker).nStrong Python programming skills:
Strong programming skills in Python, including its ecosystem for AI/ML, with experience using libraries such as PyTorch, Hugging Face Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions.nProduct mindset:
Ability to think from the user's perspective and design solutions that align with developer needs, improving their experience and productivity.nLeadership and ownership:
Experience taking ownership of projects, leading initiatives from inception to delivery, and driving impactful results that align with team and business goals.nExcellent communication and collaboration skills:
Ability to clearly explain complex technical concepts to both technical and non-technical stakeholders, empowering teammates to get involved and contribute to AI-driven initiatives.nInterview Process
Initial chat with our Talent team to kick things offnManager Interview (60 minutes)nTechnical Assessment (120 minutes)nValues Interview (60 minutes)nWe offer!nPlease note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.n#J-18808-Ljbffrn
AI Engineer (CI/CD, Terraform, Docker) - UK
Posted 1 day ago
Job Viewed
Job Description
At hyperexponential (hx) we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions—whether it’s calculating the cost to insure a global superstar’s concert tour or protecting entire states from natural disasters.nWith hx Renew, insurers can rapidly develop and iterate pricing models in Python and React within a modern software environment, free from the burden of legacy tech. What once took months now takes weeks—or even days. This agility has made our product the go-to platform for insurers worldwide.nIn just five years, our winning formula has earned the trust of industry giants like Aviva and Top 5 US insurers, as well as cutting-edge innovators like Convex and Inigo. Our engineering team—made up of some of the brightest (and kindest!) minds in the industry—pushes technological boundaries every day through creative innovation and regular hackathons.nYour Mission
We're expanding our Engineering Velocity team with a brand new role focused on AI enablement. Our mission is simple: empower engineers to deliver better, faster, and safer.nOver the past months, we’ve been exploring how AI can improve developer workflows. We've integrated tools like Codeium and Windsurf IDE, and we're currently evaluating AI-powered solutions for code reviews. But we know there’s more we can do—and that’s where your expertise and enthusiasm come into play.nWe’re looking for someone excited about applying AI to improve the developer experience—whether through automation, smarter tooling, or rethinking how engineers work. You’ll help us go beyond off-the-shelf tools and lead new initiatives that accelerate how engineers build, ship, and operate software at hx.nKey Responsibilities
Lead AI-driven initiatives:
Identify opportunities to apply AI in meaningful ways that improve how engineers work, automating repetitive tasks, accelerating decision-making, and improving productivity.
Shape AI adoption at hx:
As the person leading this effort, you’ll define the approach to incorporating AI into engineering workflows, helping us discover and implement the best AI tools and techniques that will drive real impact.
Collaborate and share knowledge:
Make AI accessible to your teammates by sharing knowledge, fostering a culture of learning, and empowering others to contribute to AI-driven projects. You'll help others grow their skills and contribute to AI initiatives.
Push the boundaries of what's possible:
Always be on the lookout for ways AI can make us faster, more efficient, and more effective. You’ll tackle challenges and find creative solutions that shape the direction of AI within the technology department.
Key Skills and Experience
Proven problem solver:
Proven experience building internal tooling and platforms to support engineering teams
Experience with AI technologies:
Hands-on experience working with LLMs or related AI technologies, with a practical understanding of how to apply them effectively to real-world developer workflows.
Solid technical foundation:
Strong experience in DevOps practices with hands-on knowledge of cloud technologies (AWS), infrastructure as code (Terraform), CI/CD pipelines (GitLab), and containerization (Docker).
Strong Python programming skills:
Strong programming skills in Python, including its ecosystem for AI/ML, with experience using libraries such as PyTorch, Hugging Face Transformers, scikit-learn, and TensorFlow to build and implement AI-driven solutions.
Product mindset:
Ability to think from the user’s perspective and design solutions that align with developer needs, improving their experience and productivity.
Leadership and ownership:
Experience taking ownership of projects, leading initiatives from inception to delivery, and driving impactful results that align with team and business goals.
Excellent communication and collaboration skills:
Ability to clearly explain complex technical concepts to both technical and non-technical stakeholders, empowering teammates to get involved and contribute to AI-driven initiatives.
Interview Process
Initial chat with our Talent team to kick things offnManager Interview (60 minutes)
Technical Assessment (120 minutes)
Values Interview (60 minutes)
We offer!
We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
#J-18808-Ljbffrn
Cloud Infrastructure Engineer, Azure, Docker, Kubernetes, Global Infrastructure, Hybrid, COR7338
Posted 11 days ago
Job Viewed
Job Description
Cloud Infrastructure Engineer, Azure, Docker, Kubernetes, Global Infrastructure, Hybrid, COR7338
We are seeking a Cloud Infrastructure Engineer focussed on Azure to join a global, forward-thinking technology-driven organisation, working on a hybrid basis! This is an excellent opportunity for an experienced infrastructure specialist to support and enhance large-scale cloud and network systems, contr.
WHJS1_UKTJ
Cloud Infrastructure Engineer, Azure, Docker, Kubernetes, Global Infrastructure, Hybrid, COR7338
Posted 11 days ago
Job Viewed
Job Description
Cloud Infrastructure Engineer, Azure, Docker, Kubernetes, Global Infrastructure, Hybrid, COR7338
We are seeking a Cloud Infrastructure Engineer focussed on Azure to join a global organisation, working on a hybrid basis! This is an excellent opportunity for an experienced infrastructure specialist to support and enhance large-scale cloud and network systems, contributing to critical IT projects, ser.
WHJS1_UKTJ
Junior Cloud Computing Apprentice
Posted 16 days ago
Job Viewed
Job Description
Cloud Computing Engineer - Trainee
Posted 1 day ago
Job Viewed
Job Description
Take your first steps towards a new and exciting career in Cloud Computing.
e-Careers is a dynamic and forward-thinking training company that is dedicated to changing lives through innovative training solutions.
The market is facing a severe skills shortage for newly trained AWS Solutions Architects. e-Careers will provide you with the training and certifications before matching you to an employer where you will undergo a remote work experience programme. If successful, our employer will offer you a full-time paid job.
We are looking for motivated and ambitious individuals who may not have any prior experience but have the hunger to start a career in cloud computing.
What the Traineeship Offers:
- 6 months of online, instructor-led training through weekend classes
- Official AWS certifications
- Mentoring and coaching
- Hands-on-labs and practical experience
- Guaranteed remote work experience
The Process
Training -> AWS Certifications -> Work Experience
Who Should Apply
Anyone who is interested in a career in cloud computing, irrespective of prior experience or knowledge, but is willing to go through a training programme prior to being introduced to an employer.
Requirements
- No prior experience or knowledge in IT or cloud computing necessary
- Individuals must be willing to learn through a part-time, online training programme that lasts 6 months before starting work as an AWS Solutions Architect.
- A good grasp of English is essential
Benefits
- Become a qualified AWS Solutions Architect within 6 months
- Guaranteed work experience
- The fastest way to launch a career in cloud computing for individuals who have little to no prior experience
- All training and work experience is done remote / online.
Graduate Software Engineer - Cloud Computing
Posted 14 days ago
Job Viewed
Job Description
- Assisting in the design, coding, testing, and debugging of software applications and services.
- Developing features and improvements for cloud-based products using (mention relevant languages/frameworks, e.g., Java, Python, Go, Node.js).
- Working with cloud platforms such as AWS, Azure, or GCP, gaining practical experience in cloud infrastructure and services.
- Participating in the full software development lifecycle, including requirements gathering, design, implementation, testing, and deployment.
- Collaborating with senior engineers and team members on technical designs and problem-solving.
- Writing clean, maintainable, and efficient code, adhering to established coding standards.
- Contributing to automated testing efforts, including unit tests, integration tests, and end-to-end tests.
- Learning and applying best practices in software engineering, including version control (e.g., Git), CI/CD, and agile methodologies.
- Participating in code reviews and providing constructive feedback to peers.
- Gaining exposure to various aspects of software engineering, including backend development, frontend development, database management, and cloud operations.
- A Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related technical field, achieved or expected by (Year).
- A strong understanding of fundamental computer science concepts, including data structures, algorithms, and object-oriented programming.
- Familiarity with at least one programming language (e.g., Python, Java, C++, JavaScript).
- An interest in cloud computing platforms (AWS, Azure, GCP) and associated technologies.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- A proactive approach to learning and a passion for technology.
- Eligibility to work in the UK.
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Graduate Software Engineer - Cloud Computing
Posted 17 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in the design, development, and testing of cloud-based applications.
- Write clean, maintainable, and efficient code.
- Collaborate with senior engineers on software projects.
- Participate in code reviews and contribute to code quality.
- Learn and apply cloud computing best practices (AWS, Azure, GCP).
- Assist in the implementation of CI/CD pipelines.
- Troubleshoot and debug software issues.
- Document software designs and implementations.
- Contribute to team discussions and knowledge sharing.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Solid understanding of programming fundamentals and data structures.
- Familiarity with at least one programming language (e.g., Python, Java, C++).
- Basic knowledge of cloud computing concepts is a plus.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team.
- Eagerness to learn and adapt to new technologies.
- Strong interest in software development and cloud technologies.