Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Platform Engineer (Tanzu)

Synechron
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Machine Learning Engineer – Insurance

Data Engineer

Data Engineer - London

Data Engineer

Data Engineer

Experience:

Minimum of XX years of experience in technology consulting, with a focus on new and emerging technologies. Understanding of software development lifecycle, methodologies, and technologies.

Relevant Experience:

Hands-on experience with cutting-edge technologies such as blockchain, IoT, machine learning, AI, and others. Experience in delivering technology solutions to clients and ability to understand their business requirements.

Summary:

As a Consultant in Other Technologies, you will be responsible for helping clients in adopting new and emerging technologies to meet their business needs.
 

Key Skills:

Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Ability to work in a fast-paced and dynamic environment. Strong technical knowledge of new and emerging technologies.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering or a related field. Experience with agile software development methodologies.

Responsibilities:

Conduct research and analysis of new and emerging technologies to identify their potential for client solutions. Work closely with clients to understand their business requirements and provide recommendations for technology solutions. Participate in the design, development, and implementation of technology solutions. Stay up-to-date with the latest advancements in new and emerging technologies and share knowledge with team members. Collaborate with cross-functional teams and ensure project deliverables are completed on time and within budget.

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.