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- Tasks: Lead the design of AI workflows and fine-tune models for impactful business decisions.
- Company: Fast-growing tech scale-up revolutionising commerce with innovative AI solutions.
- Benefits: Remote-first culture, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of AI in a dynamic environment impacting thousands of brands.
- Qualifications: Experience in data science, LLMs, and strong programming skills in Python.
- Other info: Join a vibrant team at the forefront of AI technology.
The predicted salary is between 54000 - 84000 £ per year.
My client is a Series C scale-up (raised $70m in 2025) building the commerce OS used by household names. They’re hiring a Senior Data Scientist to take point on agentic AI: architect multi-agent workflows, fine-tune LLMs, and own the metrics that prove business impact.
Their platform already powers 3,000+ brands and automates complex operations at scale.
Why join?
- Own the blueprint – step into a live but early agentic stack and set the standards for architecture, governance and evaluation.
- Real product leverage – your orchestration, models and metrics will drive outcomes for thousands of daily decisions across 1,000+ brands.
- LLMs in production – design conversational flows, fine-tune models and stand up success frameworks for agent systems
- Remote-first culture
The role
- Agentic design & orchestration: Define agent roles, tool use, memory and hand-offs; build resilient multi-agent journeys for discovery → advice → purchase.
- LLM training & tuning: Run LoRA/QLoRA/full fine-tunes with PyTorch/Hugging Face on Vertex AI; own data curation and the evaluation harness.
- Measurement: Set and track KPIs (task completion, hand-off success, latency/cost/factuality, business outcomes).
- Classical ML where it counts: Ship intent classifiers, outcome forecasters and recommendation pipelines with scikit-learn/XGBoost/LightGBM.
Stack (core)
- Python (production-grade)
- LLM tooling: PyTorch, Hugging Face, TensorFlow
- Fine-tuning: LoRA / QLoRA / full training
- GCP / Vertex AI: Training, Pipelines, Registry/Deploy
- Experimentation: SQL, A/B test design, causal thinking
- Predictive: scikit-learn, XGBoost, LightGBM, Google AutoML
Locations
Senior Data Science Engineer employer: Identify Solutions
Contact Detail:
Identify Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or multi-agent systems. This is your chance to shine and demonstrate how you can drive outcomes.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts like agentic design and orchestration. Be ready to discuss how you would approach building resilient multi-agent journeys and setting KPIs.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Science Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Science Engineer role. Highlight your experience with LLMs, multi-agent workflows, and any relevant projects that showcase your ability to drive business impact.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about agentic AI and how you can contribute to our mission. Share specific examples of your work with Python, PyTorch, or any other tools mentioned in the job description to make your application stand out.
Showcase Your Metrics Mindset: Since this role involves owning metrics that prove business impact, be sure to include any relevant KPIs you've tracked in previous roles. This will demonstrate your analytical skills and understanding of how data drives decisions.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Identify Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the core technologies mentioned in the job description, like Python, PyTorch, and TensorFlow. Brush up on your experience with LLMs and GCP/Vertex AI, as these will be crucial for the role.
✨Showcase Your Projects
Prepare to discuss specific projects where you've architected multi-agent workflows or fine-tuned models. Be ready to explain the impact of your work, especially how it drove business outcomes or improved processes.
✨Understand the Metrics
Familiarise yourself with key performance indicators relevant to the role, such as task completion and hand-off success. Be prepared to discuss how you’ve set and tracked KPIs in previous roles, as this will demonstrate your analytical mindset.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current agentic stack and their vision for the future. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.