National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer

Elecnor Deimos
Harwell
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

DEIMOS is looking for an engineer to join the Computer Vision/Artificial Intelligence (CV/AI) Competence Centre of the Avionics Business Unit, Flight Systems Directorate.

This role focuses on supporting Deimos’ AI/CV flight systems team in researching, developing, deploying and scaling our computer vision portfolio for onboard processing applications in Space. You will work on Machine Learning projects and products throughout their lifecycle – from early-phase R&D activities to productization and deployment.

The work of the AI/CV Competence Centre is oriented to the design, development, specification, and validation of Computer Vision solutions for embedded flight segment applications, including real-time advanced onboard data processing and intelligent decision making.

This preferred locations for this role are either Harwell, UK, or Madrid, Spain, although other Deimos sites may also be considered.

Duties:

The main responsibilities are:

Research, design, implement, and deploy machine learning models and algorithms that address specific challenges and opportunities related to on-board processing in Space. Collaborate with team-members and clients across Europe to understand project requirements, objectives, and constraints. Process and analyse datasets to extract meaningful insights and features for model development. Design, implement and maintain industry-standard MLOps infrastructure for new and existing ML products Optimize and standardize ML training and validation processes, data warehousing and pipelines.

Education:

Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.

Professional Experience:

The position will be tailored to the level of experience; practical industry experience deploying and maintaining ML systems in production would be viewed very positively.

Technical Requirements:

Required:

Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects. Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques.

Highly Desirable:

Experience working on aerospace-related projects Experience deploying MLOps solutions and working within CI/CD frameworks Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.) Experience developing embedded ML applications (C++, CUDA, TensorRT)

Language Skills:

Good level of English, spoken and written

Personal Skills:

Capability to integrate in and work within a trans-European team Solid organisational, analytical and reporting skills Autonomy and willingness to take initiative Excellent communication skills Energetic, positive team player mentality

Ref.:

National AI Awards 2025

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 to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.