Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Performance Systems Integration Engineer

Seismic Recruitment
Peterborough
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer

Senior Data Engineer - Market Intelligence

Data Analyst and Production Planner

Performance Systems Integration EngineerPeterborough / Hybrid working - 3 days on-site per week12 month contract - likely to be extendedThe Performance Systems Integration Engineer role will be focused on the development of current and future products, and the successful candidate will work alongside other highly talented Engineers, utilising their problem-solving skills and technical knowledge to make data driven decisions to create new solutions, ensure product quality and emissions compliance.The successful application will work as part of a cross functional team, collaborating with partners in Systems, Component, Performance and Electronics, to deliver world class products             Responsibilities includeRequirements - System architecture, calibration requirements and control system definitionDetailed technical trade-offs and control system development, through use of simulation and analytical toolsTechnical problem solving and issue resolutionIntegration of our products into customer applicationsDemonstrate product quality, emissions conformance, and product signoffQualifications & Experience Required of the Performance Systems Integration EngineerExperience of some or all of the following, in relation to Engine / Powertrain development:Performance and Emissions CalibrationControl Systems development and optimisation0D/1D simulation tools (e.g. GT Power / Ricardo Wave)Matlab / SimulinkAbility to define the problem and determining its significance, prior to looking for solutionUtilise problem solving methodologies to structure problem solving approach (e.g. 5 Whys, Ishikawa, Fault Trees etc)Take a data driven approach to problem solving, with strong data analysis skillsUses logic and intuition to make inferences about the meaning of the data and arrive at conclusionsContributes to standard practices for problem-solving approaches, tools, and processesEffective communication skillsCompetitive Hourly Rate - Umbrella OR PAYETo apply, please submit a copy of your up to date CV clearly indicating your relevant experience. Applicants must have an existing right to work in the UK and evidence of eligibility will be required. Suitable candidates will be contacted.The above represents a summary of the contract assignment.  A full description of this contract assignment is available. A full explanation of this rate and all deductions will be explained in a key information document (KID) supplied to registered candidates

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 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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.