Job Title: Machine Learning Engineer Location: Oxford, UK (Hybrid – 2 days a week in office) Salary: £50,000–£80,000 bonus About Us We’ve partnered with an award-winning software company based in Oxford , building AI-powered platforms that help organisations extract insights, automate workflows, and drive smarter decisions across industries — from logistics and legal tech to research and government.
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.
Backed by leading UK tech investors and home to a team of engineers, product thinkers, and data scientists, we’ve scaled rapidly in the last 3 years and are now looking for a Machine Learning Engineer to help us push our platform to the next level.
You’ll join a collaborative, pragmatic team that values clean code, creative problem-solving, and real-world impact.
If you're excited by applied ML and building things that get used — this is for you.
What You'll Do Daty to Day Develop, train, and deploy ML models in production for a range of use cases: document understanding, intelligent search, prediction engines, and recommendation systems Collaborate with product managers, software engineers, and customers to scope and define ML features Build scalable and reusable model pipelines and deploy using best-in-class MLOps practices Monitor, tune, and maintain models post-deployment with attention to performance, drift, and explainability Apply techniques like NLP (LLMs, transformers, embeddings) , supervised/unsupervised learning , semi-structured data parsing , and anomaly detection Participate in sprint planning, code reviews, and architecture discussions — we’re a flat, fast-moving team What You’ll Bring to the team Strong Python skills and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, Hugging Face Solid grasp of data wrangling , feature engineering , and model evaluation techniques Proficiency in designing and deploying production-ready ML pipelines Familiarity with cloud platforms (AWS/GCP/Azure) and tools like Docker, Airflow, MLflow, or Kubeflow Understanding of core ML algorithms and when to apply them: classification, clustering, regression, etc.
Comfort with SQL and working in a software engineering environment (e.g., version control, CI/CD) Great communication skills — you can explain your ideas to technical and non-technical people alike Nice to Have (but Not Deal-Breakers): Experience working with text-heavy datasets , OCR, or document intelligence Familiarity with vector search , semantic similarity , or RAG (Retrieval-Augmented Generation) Interest in Human-in-the-Loop ML , active learning, or explainable AI Prior startup or scale-up experience, ideally in B2B SaaS or platform-based ML Familiarity with TypeScript/JavaScript or APIs if you've worked closely with full-stack teams What’s In It for You A meaningful role building real AI products that customers use daily Competitive salary and generous equity options Flexible working hybrid model (beautiful central Oxford office) £1,000 annual learning & development budget 25 days annual leave your birthday off Private medical insurance mental health support Regular team events, tech meetups, and company retreats
