Technologist, Gas Processing

TN United Kingdom
London
2 months ago
Applications closed

Related Jobs

View all jobs

Power Platform and Integration Developer

Senior Data Engineer – Capital Markets experience required – £130,000 Salary + Bonus

Data Engineer

Data Engineer PySpark AWS - Relocate to Dubai (London)

Data Engineer (Home-based)

Senior Data Engineer

Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems.

We are currently seeking aTechnologist, Gas Processing, reporting directly to Head of Technology to join our Technology team based in either London or Milton Keynes.

About us:

Technip Energies is a leading technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality.

Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last.

About the mission we offer you:

We are seeking a Technologist, Gas Processing to act as a subject expert for gas processing technologies (mainly carbon capture and amine processes) at local level. You will work with other technologists, oversee the technology input to projects and proposals and local R&D activities, recommend and conduct the implementation of new technological design and technologies and developments of existing technologies and coordinate with other T. EN offices on proposals, projects and R&D, to provide a consistent approach to the market, promoting T. EN technological know-how both to internal and external customers.

Responsibilities

  • Manage the development of the carbon capture and amine technologies within the local office, including any local R&D activities.
  • Ensure the correct technology input into proposals and projects as required.
  • Take part in project activities which require technology input, e.g. participation in reviews with clients, HAZID / HAZOP reviews, review / approval of key deliverables, etc.
  • Input to certain project activities to ensure technology is correctly applied and guarantees will be met.
  • Promote T.EN technologies to clients and internally.
  • Make and prepares presentations to conferences promoting T.EN.
  • Prepare technical papers for publication to promote T. EN technology.
  • Prepare technology risk assessments and provides performance guarantees.
  • Manage the relevant budget for assigned technology and R&D activities.
  • Coordinate with peers within T.EN and the T.EN product lines.
  • Carry out internal training in T.EN technologies.
  • Attend, record, and assess plant test runs to demonstrate performance guarantees.
  • Ensure work is performed in accordance with company procedures and ensures excellent HSE & engineering performance.
  • Take part in, and actively promotes, continuous improvement, innovation and sustainability of T.EN designs and operations.
  • Manage personnel (as required), including ensuring productivity, timekeeping, compliance with budgets and schedules and conductance of performance reviews.

About you:

We'd love to hear from you and how you match with this position. To be successful in this mission you should consider the following requirements:

  • University degree in Chemical Engineering.
  • Significant years of experience in process engineering and technology.
  • Deep knowledge and experience of technological field(s) and process discipline(s).
  • Experience of communicating technical solutions to clients.

Your career with us

Working at Technip Energies is an inspiring journey, filled with groundbreaking projects and dynamic collaborations. Surrounded by diverse and talented individuals, you will feel welcomed, respected, and engaged. Enjoy a safe, caring environment where you can spark new ideas, reimagine the future, and lead change. As your career grows, you will benefit from learning opportunities at T.EN University, such as The Future Ready Program, Graduate Program, and from the support of your manager through check-in moments like the Mid-Year Development Review, fostering continuous growth and development.

What's Next?

Once we receive your system application, our recruiting team will screen and match your skills, experience, and potential team fit against the role requirements. We ask for your patience as the team completes the volume of applications within a reasonable timeframe. You can check your application progress via the personal account created during your application.

We invite you to get to know more about our company by visiting www.ten.com and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates.

#LI-HYBRID

#LI-PM1

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.