Powertrain Calibration/System Performance Engineer

Select Engineering
Peterborough
11 months ago
Applications closed

Location: Peterborough/Hybrid (2 days in the office)Benefits: * EV Lease Scheme (Salary Sacrifice) * Flexi-time (applies to most roles) * Private Medical Insurance and Health Cash Plan * Cycle to Work Scheme * 25 days holiday per year (increases by 1 day annually up to the max. of 28 days) * Special occasion leave (eligibility after probation, subject to conditions) * Pension scheme * Life Assurance and Income Protection Insurance * One paid professional membership annuallyOur client is the world's largest independent company for the development, simulation and testing of powertrain systems.We are looking for passionate & pro-active engineers at the top of their game and with all levels of relevant experience, from recent graduates to time served Charted Engineers.Attitude and a dedication to our craft is key to all that we do, and we expect the same of you. This is an opportunity to become part of a professional Team working on projects that make a real difference to the sector and the world we live in.These roles will see the successful candidates embedded in client teams, delivering projects and providing expert technical support.The roles will typically cover a variety of functions and disciplines, including ICE calibration, powertrain system performance development, data analysis, issue investigation & resolution, system modelling and simulation. Work in new powertrain sectors (battery, fuel cell, etc) is also a possibility.Responsibilities: * Develop and manage powertrain calibrations using client &/or toolsets & processes * Define, generate & manage engine test plans * Planning, execution and analysis of engine & system simulation activities * System performance assessment, including trade-offs and data analysis * Data review and root cause analysis (RCA) to identify powertrain system issues & develop solutions for resolution * System modelling, calibration simulation, using toolsets such a Matlab SIMULINK * Functioning within a professional team, generate & present reports (verbal & written) including recommendations and proposalsProfile:Essential: * 2:1 or above Bachelors or Masters degree in a relevant topic * Excellent understanding of diesel internal combustion engine operation and performance * Knowledge of ancillary systems (air path, exhaust aftertreatment technologies, control, etc) * Understanding of vehicle architecture & control systems * Experience or knowledge of vehicle emissions requirements * Good knowledge of simulation systems, particularly Matlab SIMULINK * Working knowledge of calibration toolsets & engine calibration, including trade-offs for emissions and performance * Excellent analytical skills, able to interpret data and results and present results in a clear & understandable format * Strong team player, with good communication & English language skills * A self-starter, 'can-do' approach, able to work with other team members at all levels to reach 'win-win' agreements * A strong willingness to learn and developWe will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you. We may contact you from time to time about other relevant roles. Your personal information will be securely held. For more information please refer to our privacy notice, a copy of which can be found on our website. – Select Engineering Limited

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.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.