Graduate Scientist

East Knighton
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist/Statistician

Graduate AI & Machine Learning Engineer | London, UK

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Principal Data Scientist - Remote

Graduate Scientist / Engineer

With a reputation for providing innovative underwater systems for the Royal Navy (RN) and export customers, Atlas Elektronik UK operates from their Headquarters on the Jurassic Coast in Dorset. Through science, engineering and R&D they convert data into information, knowledge and capabilities that challenge the status quo, and offer winning advantage at the frontline.

Atlas Elektronik UK have designed their Engineering Graduate Programme to support those with a passion for Engineering to grow into the next generation of specialists to develop cutting-edge maritime technology for worldwide customers and the UK Royal Navy.

Atlas Elektronik UK are dedicated to developing the next generation of talent in engineering and technology.

As a Graduate Scientist / Engineer you will use and develop technical knowledge to offer solutions to problems; thinking innovatively and creatively within a robust engineering framework. You will be offered a permanent role from day one and step onto a 2 year Graduate Scheme to develop your skills and hands on application of theory. Suitably experienced and qualified mentors are provided to each of the graduates to further support their professional progress. The scheme is closely monitored with regular reviews and a graduate training programme including a project set by the Senior Management Team. The graduates will continue to be mentored and get support from the
company as well as the committee that oversees the scheme until they achieve their desired incorporated or chartered status.

Scope:

As a Graduate Scientist / Engineer you will perform research and development contributing to new technology and knowledge in the Sonar and Underwater Platform Signatures domains.

Across these domains AEUK is involved in a broad range of technical areas includes:

Development of Sonar sensors and other hardware and software systems
Analogue and digital electronics
Signal processing, image analysis, data science and machine learning
Development of detection and classification algorithms
Analysis of acoustic and non-acoustic data
Simulation and modelling of the physics of sonar systems and generation and propagation of acoustic and non-acoustic signatures in the underwater environment
Test and measurement of acoustic and non-acoustic systems, including those on in-service submarine sonars

You will use technical knowledge to offer solutions to problems; thinking innovatively and creatively, you will provide technical input into bids and projects writing reports. You will provide advice and guidance on technical matters as well as providing support to the team in technical liaison with customers to support the agreement of requirements.

What we are looking for in you:

Interest or past experience in engineering or the marine industry
Demonstrate excellent written and verbal communication skills
Excellent interpersonal skills and be able to interact with people at all levels both within the company and externally
Computer literacy in order to operate information systems. Proficient in Microsoft Word, Excel, PowerPoint
Able to build rapport and develop working relationships
Strong team focus
Strong time management skills
Ability to work independently at times under own initiative
Ability to use own initiative when working under pressure
Prioritise and manage personal workload to ensure deadlines are achieved.
Willingness to travel in the UK and overseas

More information

Graduate intake planned for October 2025.

The successful candidate must be able to achieve full SC (Security Clearance)

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.

Jobs

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.