Infrastructure Engineer

Ringwood
8 months ago
Applications closed

Related Jobs

View all jobs

Founding Data Engineer

Founding Data Engineer

Senior Quantitative Researcher / Sub-PM

Senior Quantitative Researcher / Sub-PM

Senior Quantitative Researcher / Sub-Pm

Data Engineer (Credit Technology) | Multi-Strat Fund

Are you ready to embark on a career that not only challenges you but also makes a positive impact on the world? This is your chance to join a dynamic team that is dedicated to improving animal-based production systems through innovative technology. As an Infrastructure Support Specialist, you will be at the heart of operations, ensuring the smooth running of hosting infrastructure and providing invaluable technical support. This role offers a unique opportunity to work on projects that truly matter, in an environment that values creativity, sustainability, and positive change.

What You Will Do:

  • Install, configure, maintain, and update web servers, network devices, and other hosting infrastructure components.

  • Troubleshoot and resolve infrastructure-related problems, escalating issues when necessary.

  • Monitor network performance and security, ensuring systems are operating efficiently and securely.

  • Collaborate with team members to implement and maintain IT policies, procedures, and best practices.

  • Perform regular backups, ensuring data integrity and implementing disaster recovery procedures.

  • Manage user accounts, permissions, and access controls in accordance with security policies.

    What You Will Bring:

  • Bachelor's degree in Information Technology, Computer Science, or related field preferred.

  • Proven experience in IT support or infrastructure roles.

  • Strong knowledge of Linux and Windows operating systems, and experience in managing cloud hosting environments.

  • Familiarity with networking concepts and protocols (e.g., TCP/IP, DNS, DHCP).

  • Excellent troubleshooting, problem-solving, and communication skills.

    This Infrastructure Support Specialist role is not just a job; it's a career that makes a difference. The company, a leader in using technology to drive better food systems, is looking for someone passionate about technology and infrastructure to join their growing team of professionals. Their dedication to sustainability and animal welfare is not just admirable but inspiring, making this an ideal place for those who want their work to contribute to a greater good.

    Location:

    This full-time position is based in the beautiful Ringwood, Hampshire, UK, with options for remote work, offering flexibility and the perfect balance between office and home life.

    Interested?:

    If you are eager to leverage your skills in a role that offers both personal growth and the opportunity to contribute to a more sustainable future, we would love to hear from you. Apply today to become the Infrastructure Support Specialist this company needs to help drive their mission forward.

    Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.

    In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.