National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Instrument Engineer

Middlesbrough
1 month ago
Applications closed

Related Jobs

View all jobs

User Experience Design (UXD) - Senior Specialist

Quantitative Risk Senior Manager/ Manager

Electrical Technician

Market Risk Analyst

Senior Data Engineer / Lead Data Engineer

Senior Data Engineer

As the Senior Instrument Engineer, you will be the technical lead for all instrumentation and control systems within a pharmaceutical manufacturing facility. Your role is crucial in ensuring equipment reliability, regulatory compliance (e.g., GMP, FDA), and operational efficiency through the design, maintenance, and optimisation of instrumentation and process control systems.

Key Responsibilities



Lead the specification, design, installation, calibration, and maintenance of all process instrumentation and control systems (e.g., pressure, temperature, flow, level sensors).

*

Act as the SME (Subject Matter Expert) for control systems, ensuring compliance with GMP, FDA, MHRA, and other relevant standards.

*

Collaborate with validation, QA, and production teams to ensure instrumentation meets validation and regulatory requirements.

*

Develop and manage preventative maintenance schedules and calibration plans in line with GAMP and internal SOPs.

*

Support and lead troubleshooting for instrumentation and automation issues during routine operations and shutdowns.

*

Contribute to capital projects, including equipment upgrades and installation of new control systems (DCS/PLC/SCADA).

*

Ensure robust documentation and change control practices are followed for any instrumentation modifications (change control, deviation management).

*

Provide mentoring and guidance to junior engineers and technicians.

*

Drive continuous improvement initiatives to enhance equipment reliability and data integrity

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.