Machine Learning Engineer · Careers · Hashorn
About this role
All open roles Data & ML · Full-time or Contract · Posted May 10, 2026 Machine Learning Engineer Build, train, and ship machine-learning models on customer engagements, recommendation systems, classification, LLM-powered features, and the evaluation pipelines that keep them honest. Experience 5+ years Location Remote · async-first · US/UK/EU/ME overlap Working style Async-first · weekly demos Engagement Full-time or Contract Apply via email Opens your email client. Or write to hr@hashorn.com About the role You'll work on real customer ML problems: recommendation engines, classifiers, anomaly detectors, LLM-powered features. You'll partner with our MLOps engineers (so you're not on your own when it's time to ship) and customer data scientists (so you're not flying blind on the domain). What you'll do Translate customer business problems into ML problem statements with clear evaluation criteria. Train, evaluate, and harden models, including the unglamorous work of dataset curation and labeling pipelines. Build evaluation suites that catch regressions before they hit production. Build LLM-backed features: prompt engineering, RAG, agent orchestration, eval pipelines. Pair with MLOps to ship; pair with QA to test; pair with security to threat-model. What you bring 5+ years training and shipping ML models to production. Strong Python; deep knowledge of at least one of PyTorch / TensorFlow / JAX. Practical experience with evaluation: held-out tests, online metrics, A/B frameworks. Track record of moving past notebooks: CI for training, model versioning, feature engineering at production scale. Written communication good enough to explain trade-offs to non-ML stakeholders. Nice to have LLM eval frameworks (TruLens, DeepEval, Promptfoo). Recommendation systems / classical ML at scale. Causal-inference or experimentation experience. Compensation Competitive global rate, scaled to experience and engagement. Profit-share for full-time hires. Ready to apply? Hit the button below. Your email client will open with a pre-filled message addressed to hr@hashorn.com referencing this role. Add a few sentences about yourself, attach your CV, and send. Apply via email Opens your email client. Or write to hr@hashorn.com At a glance Department Data & ML Engagement Full-time or Contract Min experience 5+ years Location Remote · async-first · US/UK/EU/ME overlap Posted May 10, 2026 Other open roles Sales & Marketing Executive Senior Backend Engineer (Node.js / TypeScript) MLOps Engineer Senior Product Manager Don't see your role here? Drop us a line at hr@hashorn.com, we always read introductions from senior people who care about craft.
What this role is, and what else it is called
Employers in the UK advertise this kind of work as Data Analyst, Data Engineer, Data Scientist and Senior Data Engineer too, so it is worth searching more than one wording. It is a mid-level Data, AI & Machine Learning role in the UK, advertised as fully remote, so it is open to candidates working from home.
About hiring at Hashorn
Hashorn has 3 other live technology roles on its careers page, across Software Engineering and Data, AI & Machine Learning. Of those, 100% are advertised as fully remote and 0% as hybrid. Elsewhere in its adverts Hashorn asks for AWS, Azure, Google Cloud and PostgreSQL. We have been observing Hashorn hiring technology staff since July 2026. See all Hashorn roles, salaries and stack.
How this role compares to the market
1,967 live UK roles list Python right now, from 581 employers. The median advertised salary is £80,000; 30% are advertised as remote. Browse Python roles.
711 live UK roles list TypeScript right now, from 269 employers. The median advertised salary is £80,000; 47% are advertised as remote. Browse TypeScript roles.
Market figures are today's snapshot of live UK roles on employer careers pages; see hiring trends.
Technologies mentioned
Detected on Hashorn's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site.