Senior / Principal Numerical Groundwater Modeller / Reservoir Engineer

Apexcontractingwa
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Data Analyst

Senior Data Analyst

Principal Software Engineer

Senior Data Analyst - Finance and Treasury

Senior Software Engineer (GO/PHP)

What if you could do the kind of work the world needs?

Make sure to apply with all the requested information, as laid out in the job overview below.

At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.A Little More About Your RoleDelivering bespoke numerically-oriented geoscience projects to assist decision making in developing the subsurface, with a particular focus on modelling flow, transport and fluid migration processes. Our projects span: geological storage of nuclear waste; CO 2 and hydrogen, deep geothermal energy; mine hydrogeology and waste; and tunnels/excavations for infrastructure.Projects typically require groundwater flow and solute transport hydrogeological modelling, reservoir simulation and history matching, uncertainty analysis and/or simulation of coupled-processes (e.g. thermo-hydro-mechanical-chemical-gas).Assisting with the development of software solutions (e.g. for data processing, analysis, numerical simulation, post-processing and visualisation) within the global geoscience modelling team, including development of WSPs in-house FracMan modelling software, to stay ahead of the market.Being proactive with WSPs global practice area networks (PANs) in seeking opportunities to collaborate on business and technical initiatives across Energy, Infrastructure, Nuclear waste and Mining sectors.Maintaining close links with our commercial clients in WSPs various business sectors, including seeking opportunities to offer our existing services, innovating new solutions to fit clients needs, or delivering software training courses.Supporting business development and writing proposals to help grow our portfolio of modelling projects and technical offering.Production of high-quality scientific/technical reports, and delivery of presentations.Communicate project deliverables to clients and be an advocate for our modelling services to both external and internal stakeholders.Staying abreast of the latest technological advances and industry trends in the fields of computational geoscience and numerical modelling.Your TeamYou will be joining a multi-disciplinary team of experts in the UK, with a focus on the delivery of technologically driven consulting and software solutions. Our projects range across industries including Energy (including renewables such as deep geothermal and CCUS, as well as oil & gas), Nuclear waste disposal (spanning geosphere characterisation, safety and engineering), Infrastructure (tunnels, slopes, geotechnics and underground storage), and Mining (from slope/bench stability, underground mining, to lithium extraction and leaching).This role reports to leaders of the WSP Geoscience group, located in the UK. The core of our UK-based team is made up of approximately 20 members, covering geology, geomechanics, flow simulation, geophysics and software engineering. We operate internationally and routinely collaborate with international geoscience and engineering colleagues in Europe, North America, the Middle East, and Australasia on the delivery of world-class consulting projects.A choice of office locations is available for the role, with colleagues sitting in London/Reading, Bristol, Cardiff, Exeter, Nottingham, Manchester and Edinburgh.What We Will Be Looking For You To DemonstrateDoctorate or Masters degree in a Mathematics, Engineering, Earth Science or Physics-related field.Strong track record of the use and development of numerical subsurface flow modelling tools and techniques, as applied to hydrogeological and/or reservoir engineering applications.Experience of scripting languages such as (ideally) Python, or similar (e.g. R, Matlab).Ability to demonstrate a resourceful approach to work and working independently, displaying strong initiative and decision-making skills.Excellent verbal communication skills with the ability to both absorb and impart technical concepts and information effectively.Excellent scientific writing ability, with experience of producing high-quality technical reports and scientific papers.Imagine a better future for you and a better future for us all.

Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world.With us, you can.

Apply today.We are WSP - Join us and make your career future ready!Whats In It For YouWork-life balance?WSP recognises that work is only one part of your life and making time for other things is important whether thats for your families, friends, or yourself. Our hybrid working policy allows the flexibility to work from the comfort of your own home as well as collaborating in our contemporary offices across the UK.Inclusivity & Diversity?We want our people to achieve rewarding careers, bringing their whole selves to work. We celebrate integrity and treat people with respect, supporting each other and embracing diversity to create a culture of inclusion and belonging at WSP.Health & Wellbeing?We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme. Med24 gives you and your family unrestricted telephone access to an NHS doctor where you can call day or night or have a face-to-face video consultation.Flex your time?For improved work life balance, WSP offers the WSP Hour which enables you to take one hour per day to do as you wish and make up the time earlier or later that day. We also offer part time and flexible working arrangements plus the option to flex your bank holiday entitlement to suit you.Your development?We appreciate that development and training is important to you and thats why we have a supportive environment that invests in your development, whether thats chartership, training or mentoring.APPLY NOW AND BE THE FUTURE OF WSP!#WeAreWSPHere at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity. As a Disability Confident leader, we will interview all disabled applicants who meet the essential criteria, please let us know if you require any workplace adjustments in support of your application.Please note WSP reserves the right to close the vacancy before the advertised closing date.Seniority level Mid-Senior levelEmployment type Full-timeJob function Engineering and Information TechnologyIndustries Construction

#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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.