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- Tasks: Design and deploy cutting-edge AI systems using LLMs and generative models.
- Company: Join a global tech leader in AI solutions with a vibrant culture.
- Benefits: Enjoy a progressive work environment, competitive salary, and opportunities for travel.
- Why this job: Make a real impact in AI while working with top-tier companies like Amazon and Google.
- Qualifications: 3+ years in AI/ML, strong Python skills, and experience with AWS and machine learning frameworks.
- Other info: Diversity is valued here; your unique perspective will be welcomed and respected.
The predicted salary is between 28800 - 48000 £ per year.
Join us as an AI/ML Engineer at Genese Solution! You will design, develop, and deploy intelligent AI systems using LLMs, RAG pipelines, and generative AI models. We are looking for a skilled professional with 3+ years of experience in AI/ML and data engineering, strong Python and AWS expertise, and hands-on knowledge of frameworks like TensorFlow or PyTorch.
Be part of a global team building scalable, ethical, and high-impact AI solutions that drive digital transformation. The ideal candidate will be responsible for designing, developing, and deploying AI/ML models while ensuring seamless data integration and pipeline optimization. The role requires a blend of hands-on machine learning expertise and software engineering proficiency to drive intelligent insights and business solutions.
Key Responsibilities:- Building complex multi-agent AI agents that are highly scalable.
- Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) systems.
- Engineer and refine prompts to enhance AI performance and output quality.
- Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures.
- Ensure AI applications align with ethical standards, data privacy, and real-world scalability.
- Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face.
- Work with current state of the art LLMs and embedding models.
- Experience building agentic AI systems.
- Experience with debugging traces of LLM calls to identify errors/optimizations.
- Experience with building Retrieval-Augmented Generation (RAG) systems.
- Knowledge of extracting structured outputs from LLMs.
- Experience using LLM APIs, embedding models, and RAG-based AI architectures.
- Strong skills in Python, AI model deployment, and AWS services (Lambda preferred).
- Knowledge of LangChain, Pydantic, and scalable AI workflows.
- Proficiency in prompt engineering and optimization techniques.
- Some UI/UX experience is a plus.
- Experience in NLP, computer vision, or multimodal AI.
- Proven track record of deploying AI solutions at scale.
- Research background in generative AI models.
- Minimum 3 years of experience in AI/ML development and data engineering.
- Proficiency in programming languages Python.
- Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar.
- Expertise in handling large-scale datasets and implementing ETL/ELT pipelines.
- Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
- Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses).
- Experience in NLP, Generative AI, or deep learning models.
- Knowledge of Big Data ecosystems such as Hadoop, Trino, or MinIO.
- Understanding of AI ethics, bias mitigation, and responsible AI principles.
- Prior experience in the financial or banking sector is a plus.
- Work in a multinational company operating in the Cloud & ICT domain, based out of the UK and operating in Australia, India, Nepal, Pakistan, and Bangladesh.
- Best in class open, progressive, professional, and equal opportunity work environment.
- Closely knit and supportive team members and a culture where your contributions, opinions, and diversity are welcome, respected, & encouraged.
- Exposure to multi-disciplinary skill areas (including team management & leadership) in a vibrant start-up ecosystem with deep work involving world-class leaders like Amazon, Microsoft, Google, Alibaba, DigitalOcean, and Facebook.
- Opportunity to travel regionally (as part of assignment/training and development or delivery) in Nepal, India, Pakistan, Bangladesh, or Sri Lanka.
We believe that diversity drives innovation. At Genese Solution, we are dedicated to creating a work environment where everyone, regardless of race, gender identity, age, religion, disability, or background, feels respected and included.
Interested candidates meeting the above criteria are requested to send their CV and cover letter to hr@genesesolution.com clearly mentioning the position you are applying for in the subject.
NOTE: Only shortlisted candidates will be contacted for further selection process. Canvassing will lead to auto-disqualification of candidacy.
AI/ML ENGINEER in London employer: Genese Solution Limited
Contact Detail:
Genese Solution Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML ENGINEER in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. 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 LLMs and generative AI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and coding challenges. Practice explaining your thought process clearly, as communication is key in tech roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI/ML ENGINEER in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and data engineering. Use keywords from the job description to show that you’re a perfect fit for the role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how your skills align with our mission at Genese Solution. Keep it concise but impactful.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or portfolio to demonstrate your hands-on experience with frameworks like TensorFlow or PyTorch.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets noticed by our team. Plus, it shows you’re serious about joining us!
How to prepare for a job interview at Genese Solution Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, AWS, TensorFlow, and PyTorch. Brush up on your knowledge of LLMs and RAG systems, as you might be asked to discuss how you've used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in AI/ML projects and how you overcame them. Use examples that highlight your debugging skills and your ability to optimise AI performance, as this will demonstrate your hands-on experience.
✨Understand Ethical AI Practices
Since the role emphasises ethical standards and data privacy, be ready to talk about how you ensure your AI solutions are responsible. Familiarise yourself with current trends in AI ethics and be prepared to share your thoughts on bias mitigation.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team’s approach to building scalable AI solutions or how they handle data integration. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
