Algorithm and Data Analysis Engineer

Civitanavi Systems
Bristol
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science and Analytics Manager

MOTOR INSURANCE PRICING PRACTITIONER / DATA SCIENTIST

MOTOR INSURANCE PRICING PRACTITIONER / DATA SCIENTIST

MOTOR INSURANCE PRICING PRACTITIONER/DATA SCIENTIST

Data Analyst

Data Scientist Placement

Company overview Civitanavi UK Ltd, a wholly owned subsidiary of Civitanavi Systems S.p.A., has been established to address major business opportunities in the UK and to bring the UK a sovereign capability in high grade inertial sensors and systems and GNSS products.  Civitanavi UK Ltd will be based in a brand new facility in Bristol, close to major aerospace and defence customers and travel links (hybrid working will be considered).  The UK business has already established a strong reputation with major UK primes and is now ready to recruit for a number of key roles. Civitanavi Systems is a professional yet dynamic company with a can-do attitude at all levels.  The business is hungry for ideas and passionate about delivering to the customer what they need when they need it, “We Care, We Perform, We Deliver” is not just a slogan, it is a driving principle.    Civitanavi Systems S.p.A. is fully owned by Honeywell. Candidates must be eligible to obtain UK security clearances   Hopefully this will focus the responses better. Job description Our Calibration team is looking for an Algorithm and Data Analysis Engineer in our Bristol (UK) office. The engineer will be responsible for developing innovative data analysis techniques for performance evaluation and failure detection, as well as conducting data analysis for engineering models and prototypes. This position requires close collaboration with the electronics, firmware, navigation, and mechanical engineering departments. The opportunity is open to engineers with a backround in Aerospace, Automation, Electronic, Biomedical engineering, or an equivalent scientific field, Physics or Mathematics. Responsibilities Conduct data analysis for engineering models and prototypes. Design and evaluate calibration algorithms for various types of sensors using Matlab/Simulink, with a specific focus on Inertial Measurement Units (IMUs). Develop innovative data analysis techniques enhancing automation using optimization algorithms and machine learning. Design Inertial Measurement Unit (IMU) model in Matlab/Simulink for simulation activities. Generate documentation related to design, implementation, and test and validation activities of the developed algorithms. Define the test procedures and profiles to collect data and analyze sensor performances. Skills and experience Master’s degree in Aerospace, Automation, Electronic, Biomedical engineering, or an equivalent scientific field, Physics or Mathematics. Consolidated knowledge of optimization algorithms, parametric estimation, numerical analysis, and signal processing fundamentals. Consolidated knowledge in the use of modeling tools such as Matlab/Simulink. Basic knowledge of C/C++ language. Ability to work autonomously and collaboratively in a team. Strong problem-solving skills and a results-driven attitude. Good knowledge of English in writing and speaking. Candidates must be eligible to obtain UK security clearances   Hopefully this will focus the responses better. Powered by JazzHR

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.