At a Glance
- Tasks: Lead the development of production-grade AI solutions and mentor junior engineers.
- Company: Established UK business expanding its Data, Analytics & AI function.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration.
- Why this job: Make a real impact by delivering reliable AI solutions that solve genuine business problems.
- Qualifications: 5+ years in AI or machine learning, strong Python and Databricks skills.
The predicted salary is between 81000 - 99000 £ per year.
We’re partnering with an established UK business that is expanding its Data, Analytics & AI function and looking for a Senior AI Engineer to lead the development of production-grade AI solutions. This is a senior, hands-on position for someone who can work across the complete AI lifecycle, from data preparation and experimentation through to deployment, evaluation, monitoring and continuous improvement. You’ll take technical ownership of AI engineering projects, help shape architecture and development standards, and mentor junior engineers while remaining closely involved in delivery.
What you’ll be working on:
- Building and deploying production-ready AI and machine learning solutions
- Developing LLM-powered applications using RAG, vector search, retrievers and prompt orchestration
- Designing data pipelines using Databricks, Python, PySpark and SQL
- Evaluating and benchmarking AI models for quality, reliability and business impact
- Applying AutoML to accelerate traditional machine learning use cases
- Establishing robust MLOps, experiment tracking and deployment practices
- Implementing monitoring, guardrails and quality controls for production AI systems
- Influencing AI architecture, tooling and engineering standards
What we’re looking for:
- 5+ years’ experience across AI, machine learning or data engineering
- Strong commercial experience with Python and Databricks
- Solid SQL, ETL/ELT and data pipeline experience
- Experience building and deploying LLM applications
- Knowledge of traditional machine learning and AutoML
- Experience taking AI or ML solutions into production
- Strong software engineering practices, including testing, version control and CI/CD
- Cloud experience, ideally within Azure
- Previous experience mentoring or guiding engineers
- Experience with Azure AI Foundry, MLflow, MCP, LangChain, LlamaIndex, LangGraph, agentic AI, Azure OpenAI or AI Search would be highly beneficial.
This is an excellent opportunity for someone who understands how to move AI beyond experimentation and deliver reliable solutions that solve genuine business problems.
ML Engineer in London employer: Trust In SODA
As a leading employer in the tech industry, we offer a dynamic work environment that fosters innovation and collaboration. Our London office provides a hybrid working model, allowing for flexibility while being part of a vibrant team dedicated to delivering impactful solutions. We prioritise employee growth through continuous learning opportunities and support, making this an ideal place for professionals looking to advance their careers in solution architecture.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Trust In SODA.
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We think you need these skills to ace ML Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Trust In SODA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trust In SODA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trust In SODA
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Trust In SODA!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
