At a Glance
- Tasks: Design and develop innovative AI solutions and machine learning systems.
- Company: Leading global tech organisation at the forefront of AI research.
- Benefits: Competitive pay, hybrid work model, and potential for long-term opportunities.
- Other info: Collaborate with top researchers and engineers in a dynamic environment.
- Why this job: Join an elite team shaping the future of artificial intelligence.
- Qualifications: Experience in machine learning, Python, and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, UK (Hybrid – 3 days onsite, King's Cross)
Duration: 6-Month Contract (Extension Possible)
Start Date: ASAP
We are partnering with a leading global technology organisation that is driving cutting-edge research in Artificial Intelligence and Large Language Models (LLMs). This is a unique opportunity to join an elite AI research team focused on developing next-generation AI agents and machine learning systems that operate at scale.
You'll collaborate with world-class researchers and engineers to build innovative AI solutions while contributing to research with real-world impact.
- Design and develop machine learning systems and AI agents.
- Build scalable tools and infrastructure for Large Language Models (LLMs).
- Develop and execute complex experiments involving large AI models and datasets.
- Collaborate closely with research scientists and software engineers.
- Translate research ideas into production-quality Python code.
- Contribute to the development of cutting-edge machine learning technologies.
Strong experience in Machine Learning, Artificial Intelligence, or Large Language Models (LLMs).
Hands-on programming experience with Python and PyTorch.
Experience developing or fine-tuning machine learning models at scale.
Strong software engineering and problem-solving skills.
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related technical discipline.
Experience with Generative AI or LLM research.
Master's or PhD in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, or Physics.
Experience with AI agents, post-training, reinforcement learning, or large-scale experimentation.
Previous experience within leading technology companies, research labs, startups, or academic research environments.
Work alongside some of the brightest minds in AI research.
Contribute to projects that are shaping the future of artificial intelligence.
Exposure to state-of-the-art machine learning technologies.
Potential for long-term opportunities based on performance.
If you're passionate about Machine Learning, Generative AI, and building intelligent systems at scale, we'd love to hear from you.
Software Engineer* employer: Russell Tobin
Join a leading global technology organisation in London, where you'll be part of an elite AI research team dedicated to pioneering advancements in Artificial Intelligence and Large Language Models. With a hybrid work model that promotes collaboration and innovation, you'll have the opportunity to work alongside top-tier researchers and engineers, contributing to impactful projects while enjoying a supportive work culture that fosters professional growth and long-term career opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer*
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Russell Tobin who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at Russell Tobin!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Russell Tobin to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Software Engineer*
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Russell Tobin!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Software Engineer* at Russell Tobin! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Russell Tobin
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Russell Tobin uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Russell Tobin that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Russell Tobin, so it's relevant and sparks conversation during your interview.
