Senior RAMS Engineer

NOV Inc
Aberdeen
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer - Research

Senior Data Engineer

Senior Data Scientist

Senior Data Analyst

Senior Data Analyst - Customer Services

Senior Power BI Data Analyst

CLOSING DATE August 30th 2024

NOV Process Systems is seeking an experienced Senior RAMS Engineer to join our team.

As a Senior RAMS Engineer at NOV Process Systems, you will be the global focal point for reliability, maintainability, availability, functional safety, root cause analysis, warranty management, field support, digitalization, preventative maintenance, and condition monitoring. 

FUNCTION PURPOSE:

Serve as the focal point for all tasks related to Reliability, Availability, Maintainability, and Functional Safety (RAMS), including vendor audits. Lead efforts in root cause analysis, warranty management, field support, digitalization, preventative maintenance, and condition monitoring. Work across projects and locations from early phases to delivery and aftermarket tasks. Advocate and implement advanced operation methods, including machine learning and remotely controlled facilities. Provide technical interface towards digitalization and automation stakeholders. Advise on real-time monitoring, preventative maintenance, and risk-based maintenance solutions.

FUNCTION OBJECTIVES:

Within your areas of expertise, you will:

Maintain and share knowledge, experience, and lessons learned with the organization. Perform RAMS calculations and evaluations, developing appropriate tools and using relevant software. Execute and lead root cause analysis. Conduct calculations relevant to warranty management, preventative maintenance, and condition monitoring. Develop and maintain procedures, work instructions, guidelines, and templates in collaboration with the team manager. Develop and maintain a Process Systems database with RAMS data, punch list items, and failure/breakdown reports. Assist field operation services and supervise onshore/offshore tasks on Process Systems delivered products. Apply solutions using the latest developments in operation methods. Support stakeholders to achieve project goals within budget and timeline. Assist project engineering leads and managers in project design and execution according to contract and client needs. Stay updated with international standards and directives, informing the team about relevant updates.

FORMAL COMPETENCE AND EXPERIENCE:

BSc degree in relevant disciplines. Additional relevant studies are an advantage. Documented “continuous learning” mindset. Certificates for onshore/offshore works and willingness to renew them as needed. Project execution experience, preferably in oil and gas projects. Familiarity with international standards and directives (IEC, ASME, API, ISO, NORSOK, EU commission). Experience with specifications from oil companies like Shell, BP, Equinor, and Saudi Aramco. Significant ‘office and field’ experience in process technologies such as: Hydrate Inhibition (MEG) Gas Dehydration (TEG) Gas Sweetening (Amine) Water Injection (SRU) / Produced Water Separation Strong technical advisory skills. Proactive and innovative approach. Strong interpersonal skills with the ability to work effectively within a team environment and independently. Sound knowledge of project and internal management tools, procedures, and systems. Fluency in English, with good verbal and written communication skills. Foundational knowledge of at least one programming language (Python, C, C++, JavaScript, Typescript, Java). Foundational knowledge of machine learning principles is an advantage.

ABOUT US:

NOV Process Systems provides innovative processing technologies, systems, and services to the oil and gas industry. We deliver advanced solutions for separation and treatment processes, ensuring excellence in service delivery and project execution. Our head office is located at Fornebu, Norway, with branches in Dubai, Kuala Lumpur, UK, France, Korea, Australia, Brazil, and Houston.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.