Senior RAMS Engineer

NOV Inc
Aberdeen
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Data Engineer

Senior Data Engineer - Energy

Senior RF Data Scientist / Research Engineer

Senior Data Engineer, SQL, RDBMS, AWS, Python, Mainly Remote

Senior Data Engineer

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.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.