At a Glance
- Tasks: Conduct cutting-edge research in machine learning and develop innovative tools and methods.
- Company: Join a leading tech firm at the forefront of AI research.
- Benefits: Flexible work schedule, competitive pay, and opportunities for professional growth.
- Other info: Exciting 6-month contract with potential for extension and dynamic team environment.
- Why this job: Make a real impact on AI technology while collaborating with top researchers.
- Qualifications: 2+ years in machine learning, Python programming, and experience with large AI models.
The predicted salary is between 70000 - 90000 £ per year.
One of our clients is looking for a Research Software Engineer in London - 3 days to office. If you are available and interested in this opportunity, please reply with your latest CV and best available time to discuss this.
Location: Kings Cross, London - 3 days per week to office
Duration: 6 months - Extensions are possible
Responsibilities:
- Carry out cutting-edge research to advance the science and technology of machine learning systems.
- Design methods, tools, and infrastructure to push forward the state of the art in large language models.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Suggest, collect and synthesize requirements and create an effective feature roadmap.
- Code deliverables in tandem with the engineering team.
- Publish research results and contribute to research that impacts Meta product development.
Minimum Qualifications:
- 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence.
- Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Experience writing software and executing complex experiments involving large AI models and datasets.
- Proven experience to translate insights into business recommendations.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
- Direct experience in generative AI and LLM research.
- PhD degree or research focused Master's degree in ML areas.
Research Software Engineer employer: Harvey Nash
Join a forward-thinking organisation in the heart of Kings Cross, London, where innovation meets collaboration. As a Research Software Engineer, you'll be part of a dynamic team dedicated to advancing machine learning technologies, with opportunities for professional growth and development. Enjoy a flexible work culture that values your contributions and fosters creativity, all while working in a vibrant location that inspires cutting-edge research.
StudySmarter Expert Advice🤫
We think this is how you could land Research 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 Harvey Nash 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 Harvey Nash!
✨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 Harvey Nash 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 Research 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 Harvey Nash!
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 Research Software Engineer at Harvey Nash! 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 Harvey Nash
✨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 Harvey Nash 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 Harvey Nash 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 Harvey Nash, so it's relevant and sparks conversation during your interview.
