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- Tasks: Build and scale AI products using cutting-edge technologies and collaborate with innovative start-ups.
- Company: Dynamic software engineering partner focused on digital product development.
- Benefits: Competitive £700 p/d, fully remote work, and a 6-month contract.
- Why this job: Join a forward-thinking team and make an impact in the AI space.
- Qualifications: Proficient in Python, experience with AI integration, and cloud infrastructure knowledge.
- Other info: Exciting opportunity for career growth in a fully remote environment.
The predicted salary is between 50400 - 84000 £ per year.
Oliver Bernard have partnered with a software engineering partner that collaborates with start-ups to build and scale digital products from pitch, to launch, and beyond. Fully remote anywhere in the UK.
Outside IR35, £700 p/d, 6 month contract.
Requirements:
- Proficiency in Python for back-end and AI development
- Experience with Go
- Hands-on experience building AI Agents and integrating into production systems
- Knowledge of LangChain, LlamaIndex and LangGraph for LLM orchestration and data retrieval
- Experience with LLM fine-tuning, prompt engineering, and API integration (e.g., OpenAI, Anthropic, Gemini)
- Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern CI/CD workflows
- Strong grasp of software engineering best practices, including testing, version control, and scalable architecture design
Apply for more information.
Machine Learning Engineer in Portsmouth employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to fellow Machine Learning Engineers on LinkedIn or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AI development, and LLM orchestration. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of cloud infrastructure and CI/CD workflows. Practise coding challenges and be ready to discuss your hands-on experience with AI Agents and API integration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team in building amazing digital products.
We think you need these skills to ace Machine Learning Engineer in Portsmouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AI development, and any relevant tools like LangChain or LlamaIndex. We want to see how your skills match the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Machine Learning Engineer role. Share specific examples of your hands-on experience with AI agents and cloud infrastructure to grab our attention.
Showcase Your Projects: If you've worked on any projects involving LLM fine-tuning or API integration, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you brush up on your Python skills, especially for backend and AI development. Familiarise yourself with Go as well, since it's a key requirement. Being able to discuss your hands-on experience with AI agents and how you've integrated them into production systems will definitely impress.
✨Showcase Your LLM Knowledge
Dive deep into LangChain, LlamaIndex, and LangGraph. Be prepared to talk about your experience with LLM fine-tuning and prompt engineering. If you can share specific examples of API integrations, like with OpenAI or Anthropic, that’ll show you know your stuff!
✨Cloud Infrastructure Savvy
Since cloud infrastructure is crucial, make sure you’re up to speed with AWS, GCP, or Azure. Be ready to discuss how you've used these platforms in past projects, particularly in relation to CI/CD workflows. This will demonstrate your ability to work in modern software environments.
✨Emphasise Best Practices
Highlight your understanding of software engineering best practices. Talk about your experience with testing, version control, and scalable architecture design. Showing that you value quality and maintainability in your code will resonate well with the interviewers.