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- Tasks: Build and optimise AI/ML pipelines for innovative applications.
- Company: Join a leading tech firm in London with a hybrid work culture.
- Benefits: Enjoy competitive pay, health perks, and opportunities for growth.
- Why this job: Make an impact in AI/ML while working with cutting-edge technologies.
- Qualifications: Experience in AI/ML, big data, and programming languages like Python.
- Other info: Collaborative environment with exciting projects and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Location: London
Work mode: Hybrid, 3 days WFO
Contract duration: 1 year
Key Responsibilities
- Build and optimize AI/ML pipelines for predictive modeling, NLP, and generative AI applications.
- Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights.
- Design and implement Big Data solutions using Hadoop, Spark, PySpark, and DataLake architectures.
- Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods).
- Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras.
- Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs.
- Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock Agents) for autonomous workflows.
- Collaborate with cross-functional teams to deploy AI solutions in production environments.
- Ensure scalability, security, and compliance of AI systems.
Required Skills
- Analytical Tools: EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn)
- Statistical & Multivariate Analysis
- Big Data: Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark; DataLake Architecture, AWS Redshift, Kinesis, EMR
- Machine Learning
- Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN
- Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees, XGBoost
- Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering
Senior AI/ML Engineer in England employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer in England
✨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 predictive modelling or NLP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with tools like TensorFlow and PySpark, and don’t forget to practice explaining complex concepts in simple terms.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior AI/ML Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI/ML Engineer role. Highlight your experience with AI/ML pipelines, big data solutions, and any relevant projects you've worked on. We want to see how your skills match our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how you can contribute to our team. Be sure to mention specific technologies and frameworks from the job description that you’re familiar with.
Showcase Your Projects: If you've worked on any cool AI/ML projects, don’t hold back! Include links to your GitHub or portfolio where we can see your work in action. This gives us a better idea of your hands-on experience and creativity.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Natobotics
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like TensorFlow, PyTorch, and Hadoop. Brush up on your knowledge of AI/ML pipelines and be ready to discuss specific projects where you've implemented these tools.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex problems using AI/ML techniques. Think of examples where you performed Exploratory Data Analysis or developed predictive models, and be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with NLP and Generative AI
Since the role involves NLP and generative AI, make sure you understand concepts like embeddings and transformers. Be prepared to talk about your experience with models like BERT or GPT, and how you’ve integrated them into projects.
✨Collaborate and Communicate
This position requires working with cross-functional teams, so highlight your collaboration skills. Prepare examples of how you've successfully worked with others to deploy AI solutions, ensuring you can communicate technical concepts clearly to non-technical stakeholders.